Alternatives to Tencent Cloud Elastic MapReduce
Compare Tencent Cloud Elastic MapReduce alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Tencent Cloud Elastic MapReduce in 2026. Compare features, ratings, user reviews, pricing, and more from Tencent Cloud Elastic MapReduce competitors and alternatives in order to make an informed decision for your business.
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Apache Hadoop YARN
Apache Software Foundation
The fundamental idea of YARN is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM). An application is either a single job or a DAG of jobs. The ResourceManager and the NodeManager form the data-computation framework. The ResourceManager is the ultimate authority that arbitrates resources among all the applications in the system. The NodeManager is the per-machine framework agent who is responsible for containers, monitoring their resource usage (cpu, memory, disk, network) and reporting the same to the ResourceManager/Scheduler. The per-application ApplicationMaster is, in effect, a framework specific library and is tasked with negotiating resources from the ResourceManager and working with the NodeManager(s) to execute and monitor the tasks. -
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IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of computing notes when needed. Separating compute from storage helps to transform the flexibility, scalability and maintainability of big data analytics platforms. Build on an ODPi compliant stack with pioneering data science tools with the broader Apache Hadoop and Apache Spark ecosystem. Define clusters based on your application's requirements. Choose the appropriate software pack, version, and size of the cluster. Use as long as required and delete as soon as an application finishes jobs. Configure clusters with third-party analytics libraries and packages. Deploy workloads from IBM Cloud services like machine learning.Starting Price: $0.014 per hour
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Apache Gobblin
Apache Software Foundation
A distributed data integration framework that simplifies common aspects of Big Data integration such as data ingestion, replication, organization, and lifecycle management for both streaming and batch data ecosystems. Runs as a standalone application on a single box. Also supports embedded mode. Runs as an mapreduce application on multiple Hadoop versions. Also supports Azkaban for launching mapreduce jobs. Runs as a standalone cluster with primary and worker nodes. This mode supports high availability and can run on bare metals as well. Runs as an elastic cluster on public cloud. This mode supports high availability. Gobblin as it exists today is a framework that can be used to build different data integration applications like ingest, replication, etc. Each of these applications is typically configured as a separate job and executed through a scheduler like Azkaban. -
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Oracle Big Data Service
Oracle
Oracle Big Data Service makes it easy for customers to deploy Hadoop clusters of all sizes, with VM shapes ranging from 1 OCPU to a dedicated bare metal environment. Customers choose between high-performance NVmE storage or cost-effective block storage, and can grow or shrink their clusters. Quickly create Hadoop-based data lakes to extend or complement customer data warehouses, and ensure that all data is both accessible and managed cost-effectively. Query, visualize and transform data so data scientists can build machine learning models using the included notebook with its R, Python and SQL support. Move customer-managed Hadoop clusters to a fully-managed cloud-based service, reducing management costs and improving resource utilization.Starting Price: $0.1344 per hour -
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Hadoop
Apache Software Foundation
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. A wide variety of companies and organizations use Hadoop for both research and production. Users are encouraged to add themselves to the Hadoop PoweredBy wiki page. Apache Hadoop 3.3.4 incorporates a number of significant enhancements over the previous major release line (hadoop-3.2). -
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Rocket iCluster
Rocket Software
Rocket iCluster high availability/disaster recovery (HA/DR) solutions ensure uninterrupted operation for your IBM i applications, providing continuous access by monitoring, identifying, and self-correcting replication problems. iCluster’s multiple-cluster administration console monitors events in real-time on the classic green screen and the modern web UI. Rocket iCluster reduces downtime related to unexpected IBM i system interruptions with real-time, fault-tolerant, object-level replication. In the event of an outage, you can bring a “warm” mirror of a clustered IBM i system into service within minutes. iCluster disaster recovery software ensures a high-availability environment by giving business applications concurrent access to both master and replicated data. This setup allows you to offload critical business tasks such as running reports and queries as well as ETL, EDI, and web tasks from your secondary system without affecting primary system performance. -
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E-MapReduce
Alibaba
EMR is an all-in-one enterprise-ready big data platform that provides cluster, job, and data management services based on open-source ecosystems, such as Hadoop, Spark, Kafka, Flink, and Storm. Alibaba Cloud Elastic MapReduce (EMR) is a big data processing solution that runs on the Alibaba Cloud platform. EMR is built on Alibaba Cloud ECS instances and is based on open-source Apache Hadoop and Apache Spark. EMR allows you to use the Hadoop and Spark ecosystem components, such as Apache Hive, Apache Kafka, Flink, Druid, and TensorFlow, to analyze and process data. You can use EMR to process data stored on different Alibaba Cloud data storage service, such as Object Storage Service (OSS), Log Service (SLS), and Relational Database Service (RDS). You can quickly create clusters without the need to configure hardware and software. All maintenance operations are completed on its Web interface. -
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ClusterVisor
Advanced Clustering
ClusterVisor is an HPC cluster management system that provides comprehensive tools for deploying, provisioning, managing, monitoring, and maintaining high-performance computing clusters throughout their lifecycle. It offers flexible installation options, including deployment via an appliance, which decouples cluster management from the head node, enhancing system resilience. The platform includes LogVisor AI, an integrated log file analysis tool that utilizes AI to classify logs by severity, enabling the creation of actionable alerts. ClusterVisor facilitates node configuration and management with a suite of tools, supports user and group account management, and features customizable dashboards for visualizing cluster-wide information and comparing multiple nodes or devices. It provides disaster recovery capabilities by storing system images for node reinstallation, offers an intuitive web-based rack diagramming tool, and enables comprehensive statistics and monitoring. -
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Windows Server Failover Clustering
Microsoft
Failover Clustering in Windows Server (and Azure Local) enables a group of independent servers to work together to improve availability and scalability for clustered roles (formerly known as clustered applications and services). These nodes are interconnected via hardware and software, and if one node fails, another assumes its roles through an automated failover process. Clustered roles are actively monitored and, if they stop functioning, are restarted or migrated to maintain service continuity. The feature also supports Cluster Shared Volumes (CSVs), which provide a unified, distributed namespace and consistent shared storage access across nodes, reducing service disruptions. Typical uses include high‑availability file shares, SQL Server instances, and Hyper‑V virtual machines. Failover Clustering is supported on Windows Server 2016, 2019, 2022, and 2025, and in Azure Local environments. -
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Apache Helix
Apache Software Foundation
Apache Helix is a generic cluster management framework used for the automatic management of partitioned, replicated and distributed resources hosted on a cluster of nodes. Helix automates reassignment of resources in the face of node failure and recovery, cluster expansion, and reconfiguration. To understand Helix, you first need to understand cluster management. A distributed system typically runs on multiple nodes for the following reasons: scalability, fault tolerance, load balancing. Each node performs one or more of the primary functions of the cluster, such as storing and serving data, producing and consuming data streams, and so on. Once configured for your system, Helix acts as the global brain for the system. It is designed to make decisions that cannot be made in isolation. While it is possible to integrate these functions into the distributed system, it complicates the code. -
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Yandex Data Proc
Yandex
You select the size of the cluster, node capacity, and a set of services, and Yandex Data Proc automatically creates and configures Spark and Hadoop clusters and other components. Collaborate by using Zeppelin notebooks and other web apps via a UI proxy. You get full control of your cluster with root permissions for each VM. Install your own applications and libraries on running clusters without having to restart them. Yandex Data Proc uses instance groups to automatically increase or decrease computing resources of compute subclusters based on CPU usage indicators. Data Proc allows you to create managed Hive clusters, which can reduce the probability of failures and losses caused by metadata unavailability. Save time on building ETL pipelines and pipelines for training and developing models, as well as describing other iterative tasks. The Data Proc operator is already built into Apache Airflow.Starting Price: $0.19 per hour -
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Azure HDInsight
Microsoft
Run popular open-source frameworks—including Apache Hadoop, Spark, Hive, Kafka, and more—using Azure HDInsight, a customizable, enterprise-grade service for open-source analytics. Effortlessly process massive amounts of data and get all the benefits of the broad open-source project ecosystem with the global scale of Azure. Easily migrate your big data workloads and processing to the cloud. Open-source projects and clusters are easy to spin up quickly without the need to install hardware or manage infrastructure. Big data clusters reduce costs through autoscaling and pricing tiers that allow you to pay for only what you use. Enterprise-grade security and industry-leading compliance with more than 30 certifications helps protect your data. Optimized components for open-source technologies such as Hadoop and Spark keep you up to date. -
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SIOS LifeKeeper
SIOS Technology Corp.
SIOS LifeKeeper for Windows is a comprehensive high-availability and disaster‑recovery solution that integrates failover clustering, continuous application monitoring, data replication, and flexible recovery policies to deliver 99.99 % uptime for Microsoft Windows Server environments—whether physical, virtual, cloud, hybrid‑cloud, or multicloud. Administrators can build SAN‑based or SANless clusters using a variety of storage types (direct‑attached SCSI, iSCSI, Fibre Channel, or local disk) and choose between local or remote standby servers that support both high availability and disaster recovery. LifeKeeper offers real‑time block‑level replication via bundled DataKeeper, with WAN‑optimized performance that includes nine levels of compression, bandwidth throttling, and integrated WAN acceleration, ensuring efficient replication across cloud regions or over WAN without hardware accelerators. -
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FlashGrid
FlashGrid
FlashGrid's software solutions are designed to enhance the reliability and performance of mission-critical Oracle databases across various cloud platforms, including AWS, Azure, and Google Cloud. By enabling active-active clustering with Oracle Real Application Clusters (RAC), FlashGrid ensures a 99.999% uptime Service Level Agreement (SLA), effectively minimizing business disruptions caused by database outages. Their architecture supports multi-availability zone deployments, safeguarding against data center failures and local disasters. FlashGrid's Cloud Area Network software facilitates high-speed overlay networks with advanced high availability and performance management capabilities, while their Storage Fabric software transforms cloud storage into shared disks accessible by all nodes in a cluster. The FlashGrid Read-Local technology reduces storage network overhead by serving read operations from locally attached disks, thereby enhancing performance. -
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IBM PowerHA SystemMirror provides a comprehensive high availability (HA) solution that ensures near-continuous application uptime with advanced failure detection, failover, and recovery features. It offers a simplified, integrated configuration that addresses storage and HA needs while allowing users to manage their clusters through a single pane of glass. Available for IBM AIX and IBM i operating systems, PowerHA supports multisite disaster recovery configurations and automation to reduce administrative effort. It incorporates IBM SAN storage systems like DS8000 and Flash Systems into HA clusters for robust data protection. Licensed per processor core with maintenance included for the first year, PowerHA delivers economic value for on-premises deployments. The technology helps enterprises eliminate planned and unplanned outages while monitoring system health proactively.
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Storidge
Storidge
Storidge was built on the idea that operating storage for enterprise applications should be really simple. We take a fundamentally different approach to Kubernetes storage and Docker volumes. By automating storage operations for orchestration systems, such as Kubernetes and Docker Swarm, it saves you time and money by eliminating the need for expensive expertise to setup, and operate storage infrastructure. This enables developers to focus their best energies on writing applications and creating value, and operators on delivering the value faster to market. Add persistent storage to your single node test cluster in seconds. Deploy storage infrastructure as code, and minimize operator decisions while maximizing operational workflow. Automated updates, provisioning, recovery, and high availability. Keep your critical databases and apps running with auto failover and automatic data recovery. -
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Apache Sentry
Apache Software Foundation
Apache Sentry™ is a system for enforcing fine grained role based authorization to data and metadata stored on a Hadoop cluster. Apache Sentry has successfully graduated from the Incubator in March of 2016 and is now a Top-Level Apache project. Apache Sentry is a granular, role-based authorization module for Hadoop. Sentry provides the ability to control and enforce precise levels of privileges on data for authenticated users and applications on a Hadoop cluster. Sentry currently works out of the box with Apache Hive, Hive Metastore/HCatalog, Apache Solr, Impala and HDFS (limited to Hive table data). Sentry is designed to be a pluggable authorization engine for Hadoop components. It allows you to define authorization rules to validate a user or application’s access requests for Hadoop resources. Sentry is highly modular and can support authorization for a wide variety of data models in Hadoop. -
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StorMagic SvHCI
StorMagic
StorMagic SvHCI is a hyperconverged infrastructure (HCI) solution that incorporates hypervisor, software-defined storage, and virtualized networking into a single software stack. With SvHCI, your organization can virtualize your entire infrastructure without the significant financial commitment required by other solutions on the market. SvHCI provides high availability with a unique cluster architecture of just 2 nodes. Data is synchronously mirrored between the two nodes, meaning an exact copy is always available on either node. If one node goes offline, the StorMagic witness maintains the cluster's health, keeping stores open, production lines moving and services running until the failed node is restored. A single StorMagic witness located anywhere in the world can service 1000 StorMagic clusters simultaneously. -
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Google Cloud Bigtable
Google
Google Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads. Fast and performant: Use Cloud Bigtable as the storage engine that grows with you from your first gigabyte to petabyte-scale for low-latency applications as well as high-throughput data processing and analytics. Seamless scaling and replication: Start with a single node per cluster, and seamlessly scale to hundreds of nodes dynamically supporting peak demand. Replication also adds high availability and workload isolation for live serving apps. Simple and integrated: Fully managed service that integrates easily with big data tools like Hadoop, Dataflow, and Dataproc. Plus, support for the open source HBase API standard makes it easy for development teams to get started. -
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Google Cloud Dataproc
Google
Dataproc makes open source data and analytics processing fast, easy, and more secure in the cloud. Build custom OSS clusters on custom machines faster. Whether you need extra memory for Presto or GPUs for Apache Spark machine learning, Dataproc can help accelerate your data and analytics processing by spinning up a purpose-built cluster in 90 seconds. Easy and affordable cluster management. With autoscaling, idle cluster deletion, per-second pricing, and more, Dataproc can help reduce the total cost of ownership of OSS so you can focus your time and resources elsewhere. Security built in by default. Encryption by default helps ensure no piece of data is unprotected. With JobsAPI and Component Gateway, you can define permissions for Cloud IAM clusters, without having to set up networking or gateway nodes. -
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CAPE
Biqmind
Multi-Cloud, Multi-Cluster Kubernetes App Deployment & Migration Made Simple. Unleash your K8s superpower with CAPE. Key Features. Disaster Recovery. Stateful application backup and restore for Disaster Recovery Data Mobility & Migration. Secure application & data management and migration across on-prem, private and public clouds. Multi-cluster Application Deployment. Stateful application deployment across multi-cluster & multi-cloud. Drag & Drop CI/CD Workflow Manager. Simplified UI for complex CI/CD pipeline configuration & deployment. CAPE for K8s Disaster Recovery Cluster Migration Cluster Upgrades Data Migration Data Protection Data Cloning App Deployment. CAPE™ radically simplifies advanced Kubernetes functionalities such as Disaster Recovery, Data Mobility & Migration, Multi-cluster Application Deployment, and CI/CD across on-prem, private and public clouds. Multi-Cluster Application Deployment. Control plane to federate clusters, manage application and servicesStarting Price: $20 per month -
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Apache Spark
Apache Software Foundation
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources. -
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HPE Serviceguard
Hewlett Packard Enterprise
HPE Serviceguard for Linux (SGLX) is a high‑availability (HA) and disaster‑recovery (DR) clustering solution designed to maximize uptime for critical Linux workloads, on‑premises, in virtualized environments, or across hybrid and public clouds. It continuously monitors applications, services, databases, servers, networks, storage, and processes; upon detecting faults, it performs fast, automated failover, often within four seconds, without compromising data integrity. SGLX supports both shared‑storage and shared‑nothing architectures (via its Flex Storage add‑on), enabling highly available SAP HANA, NFS, or other services even where SAN isn’t available. The HA‑only E5 edition delivers zero‑RPO application failover with robust monitoring and a workload‑centric GUI, while the HA + DR E7 edition adds multi‑target replication, automated and push‑button site recovery, DR rehearsal, and workload mobility across on‑premises and cloud.Starting Price: $30 per month -
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pgEdge
pgEdge
Easily deploy a high availability solution for disaster recovery and failover between and within cloud regions and zero downtime for maintenance. Improve performance and availability with multiple master databases spread across different locations. Keep local data local and control which tables are globally replicated, and which stay local. Support higher throughput when workloads threaten to exceed available compute capacity. For organizations that need or prefer to self-host and self-manage their databases, pgEdge Platform runs on-premises or in self-managed cloud provider accounts. Runs on numerous OS and hardware combinations, and enterprise-class support is available. Self-hosted Edge Platform nodes can also be part of a pgEdge Cloud Postgres cluster. -
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Proxmox VE
Proxmox Server Solutions
Proxmox VE is a complete open-source platform for all-inclusive enterprise virtualization that tightly integrates KVM hypervisor and LXC containers, software-defined storage and networking functionality on a single platform, and easily manages high availability clusters and disaster recovery tools with the built-in web management interface. -
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Focus on developing data stream processing applications and don’t waste time maintaining the infrastructure. Managed Service for Apache Kafka is responsible for managing Zookeeper brokers and clusters, configuring clusters, and updating their versions. Distribute your cluster brokers across different availability zones and set the replication factor to ensure the desired level of fault tolerance. The service analyzes the metrics and status of the cluster and automatically replaces it if one of the nodes fails. For each topic, you can set the replication factor, log cleanup policy, compression type, and maximum number of messages to make better use of computing, network, and disk resources. You can add brokers to your cluster with just a click of a button to improve its performance, or change the class of high-availability hosts without stopping them or losing any data.
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Nutanix Kubernetes Engine
Nutanix
Fast-track your way to production-ready Kubernetes and simplify lifecycle management with Nutanix Kubernetes Engine, an enterprise Kubernetes management solution. NKE empowers you to deliver and manage an end-to-end, production-ready Kubernetes environment with push-button simplicity while preserving a native user experience. Deploy and configure production-ready Kubernetes clusters in minutes, as opposed to days or weeks. Automatically configure and deploy your Kubernetes clusters for high availability through NKE’s simple, streamlined workflow. Every NKE Kubernetes cluster is deployed with a Nutanix full-featured CSI driver, which natively integrates with Volumes Block Storage and Files Storage to easily provide persistent storage for containerized applications. Add Kubernetes worker nodes with a single click. When additional physical resources are needed, expanding the cluster is just as simple. -
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MinIO
MinIO
MinIO's high-performance object storage suite is software defined and enables customers to build cloud-native data infrastructure for machine learning, analytics and application data workloads. MinIO object storage is fundamentally different. Designed for performance and the S3 API, it is 100% open-source. MinIO is ideal for large, private cloud environments with stringent security requirements and delivers mission-critical availability across a diverse range of workloads. MinIO is the world's fastest object storage server. With READ/WRITE speeds of 183 GB/s and 171 GB/s on standard hardware, object storage can operate as the primary storage tier for a diverse set of workloads ranging from Spark, Presto, TensorFlow, H2O.ai as well as a replacement for Hadoop HDFS. MinIO leverages the hard won knowledge of the web scalers to bring a simple scaling model to object storage. At MinIO, scaling starts with a single cluster which can be federated with other MinIO clusters. -
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Velero
Velero
Velero is an open source tool to safely backup and restore, perform disaster recovery, and migrate Kubernetes cluster resources and persistent volumes. Reduces time to recovery in case of infrastructure loss, data corruption, and/or service outages. Enables cluster portability by easily migrating Kubernetes resources from one cluster to another. Offers key data protection features such as scheduled backups, retention schedules, and pre or post-backup hooks for custom actions. Backup your Kubernetes resources and volumes for an entire cluster, or part of a cluster by using namespaces or label selectors. Set schedules to automatically kickoff backups at recurring intervals. Configure pre and post-backup hooks to perform custom operations before and after Velero backups. Velero is released as open source software and provides community support through our GitHub project page. -
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NEC EXPRESSCLUSTER
NEC Corporation
NEC EXPRESSCLUSTER is a high-availability software solution designed to maximize business continuity and disaster recovery while preventing data loss. It supports recovery from hardware, network, and application failures without requiring costly shared storage disks. The software boasts a proven track record with over 17,000 customers worldwide and more than 30,000 cluster systems deployed over 20 years. EXPRESSCLUSTER supports various applications, including major databases like Microsoft SQL Server and Oracle DB, email servers, ERP systems, virtualization platforms, and cloud services such as AWS and Microsoft Azure. Key features include automatic failover, real-time data mirroring, and comprehensive failure detection across system resources. NEC’s software helps businesses reduce downtime, save costs, and ensure reliable IT operations across many industries globally. -
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NetApp SnapMirror
NetApp
Discover fast, efficient, array-based data replication for backup, disaster recovery, and data mobility. NetApp® SnapMirror® replicates data at high speeds over LAN or WAN, so you get high data availability and fast data replication for your business-critical applications, including Microsoft Exchange, Microsoft SQL Server, and Oracle, in both virtual and traditional environments. And when you replicate data to one or more NetApp storage systems and continually update the secondary data, your data is kept current and remains available whenever you need it. No external replication servers are required. Easily manage replication between storage endpoints, from flash to disk to cloud. Transport data seamlessly and efficiently between NetApp storage systems to support both backup and disaster recovery with the same target volume and I/O stream. Failover to any secondary volume. Recover from any point-in-time Snapshot on the secondary storage. -
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Bright Cluster Manager
NVIDIA
NVIDIA Bright Cluster Manager offers fast deployment and end-to-end management for heterogeneous high-performance computing (HPC) and AI server clusters at the edge, in the data center, and in multi/hybrid-cloud environments. It automates provisioning and administration for clusters ranging in size from a couple of nodes to hundreds of thousands, supports CPU-based and NVIDIA GPU-accelerated systems, and enables orchestration with Kubernetes. Heterogeneous high-performance Linux clusters can be quickly built and managed with NVIDIA Bright Cluster Manager, supporting HPC, machine learning, and analytics applications that span from core to edge to cloud. NVIDIA Bright Cluster Manager is ideal for heterogeneous environments, supporting Arm® and x86-based CPU nodes, and is fully optimized for accelerated computing with NVIDIA GPUs and NVIDIA DGX™ systems. -
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Microsoft Storage Spaces
Microsoft
Storage Spaces is a technology in Windows and Windows Server that can help protect your data from drive failures. It is conceptually similar to RAID, implemented in software. You can use Storage Spaces to group three or more drives together into a storage pool and then use capacity from that pool to create Storage Spaces. These typically store extra copies of your data so if one of your drives fails, you still have an intact copy of your data. If you run low on capacity, just add more drives to the storage pool. There are four major ways to use Storage Spaces, on a Windows PC, on a stand-alone server with all storage in a single server, on a clustered server using Storage Spaces Direct with local, direct-attached storage in each cluster node, and on a clustered server with one or more shared SAS storage enclosures holding all drives. Expand volumes on Azure Stack HCI and Windows Server clusters. -
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MapReduce
Baidu AI Cloud
You can perform on-demand deployment and automatic scaling of the cluster, and focus on the big data processing, analysis, and reporting only. Thanks to many years’ of massively distributed computing technology accumulation, Our operations team can undertake the cluster operations. It automatically scales up clusters to improve the computing ability in peak periods and scales down clusters to reduce the cost in the valley period. It provides the management console to facilitate cluster management, template customization, task submission, and alarm monitoring. By deploying together with the BCC, it focuses on its own business in a busy time and helps the BMR to compute the big data in free time, reducing the overall IT expenditure. -
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Karpenter
Amazon
Karpenter simplifies Kubernetes infrastructure with the right nodes at the right time. Karpenter is an open source, high-performance Kubernetes cluster autoscaler that simplifies infrastructure management by automatically launching the appropriate compute resources to handle your cluster's applications. Designed to leverage the full potential of the cloud, Karpenter enables fast and straightforward compute provisioning for Kubernetes clusters. It enhances application availability by swiftly responding to changes in application load, scheduling, and resource requirements, efficiently placing new workloads onto a variety of available computing resources. By identifying opportunities to remove under-utilized nodes, replace costly nodes with more economical alternatives, and consolidate workloads onto more efficient compute resources, Karpenter effectively reduces cluster compute costs.Starting Price: Free -
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StorMagic SvSAN
StorMagic
StorMagic SvSAN is simple storage virtualization. It provides high availability with two nodes per cluster, and boasts users among thousands of organizations to keep mission-critical applications and data online and available 24 hours a day, 365 days a year. SvSAN is a lightweight solution that has been designed specifically for small-to-medium-sized businesses and edge computing environments such as retail stores, manufacturing plants and even oil rigs at sea. SvSAN is a simple, 'set and forget' solution that enables lightweight high availability as a virtual SAN (VSAN) with a witness VM that can be local, in the cloud, or as-a-service, and support up to 1,000 2-node clusters. It gives organizations choice and control by allowing configurations of any x86 servers and storage types, even mixed within a cluster. Plus, SvSAN eliminates downtime with synchronous mirroring and no single point of failure, and non-disruptive hardware and software upgrades -
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Tungsten Clustering
Continuent
Tungsten Clustering is the only complete, fully-integrated, fully-tested MySQL HA, DR and geo-clustering solution running on-premises and in the cloud combined with industry-best and fastest, 24/7 support for business-critical MySQL, MariaDB, & Percona Server applications. It allows enterprises running business-critical MySQL database applications to cost-effectively achieve continuous global operations with commercial-grade high availability (HA), geographically redundant disaster recovery (DR) and geographically distributed multi-master. Tungsten Clustering includes four core components for data replication, data connectivity, cluster management and cluster monitoring. Together, they handle all of the messaging and control of your Tungsten MySQL clusters in a seamlessly-orchestrated fashion. -
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Oracle Big Data SQL Cloud Service enables organizations to immediately analyze data across Apache Hadoop, NoSQL and Oracle Database leveraging their existing SQL skills, security policies and applications with extreme performance. From simplifying data science efforts to unlocking data lakes, Big Data SQL makes the benefits of Big Data available to the largest group of end users possible. Big Data SQL gives users a single location to catalog and secure data in Hadoop and NoSQL systems, Oracle Database. Seamless metadata integration and queries which join data from Oracle Database with data from Hadoop and NoSQL databases. Utilities and conversion routines support automatic mappings from metadata stored in HCatalog (or the Hive Metastore) to Oracle Tables. Enhanced access parameters give administrators the flexibility to control column mapping and data access behavior. Multiple cluster support enables one Oracle Database to query multiple Hadoop clusters and/or NoSQL systems.
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With Red Hat OpenShift on IBM Cloud, OpenShift developers have a fast and secure way to containerize and deploy enterprise workloads in Kubernetes clusters. Because IBM manages OpenShift Container Platform (OCP), you'll have more time to focus on your core tasks. Automated provisioning and configuration of infrastructure (compute, network and storage), installation and configuration of OpenShift. Automatic scaling, backups and failure recovery for OpenShift configurations, components and worker nodes. Automatic upgrades of all components (operating system, OpenShift components, cluster services) and performance tuning and security hardening. Built-in security including image signing, image deployment enforcement, hardware trust, security patch management, and automatic compliance (HIPAA, PCI, SOC2, ISO).
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Apache Knox
Apache Software Foundation
The Knox API Gateway is designed as a reverse proxy with consideration for pluggability in the areas of policy enforcement, through providers and the backend services for which it proxies requests. Policy enforcement ranges from authentication/federation, authorization, audit, dispatch, hostmapping and content rewrite rules. Policy is enforced through a chain of providers that are defined within the topology deployment descriptor for each Apache Hadoop cluster gated by Knox. The cluster definition is also defined within the topology deployment descriptor and provides the Knox Gateway with the layout of the cluster for purposes of routing and translation between user facing URLs and cluster internals. Each Apache Hadoop cluster that is protected by Knox has its set of REST APIs represented by a single cluster specific application context path. This allows the Knox Gateway to both protect multiple clusters and present the REST API consumer with a single endpoint. -
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Apache Geode
Apache
Build high-speed, data-intensive applications that elastically meet performance requirements at any scale. Take advantage of Apache Geode's unique technology that blends advanced techniques for data replication, partitioning and distributed processing. Apache Geode provides a database-like consistency model, reliable transaction processing and a shared-nothing architecture to maintain very low latency performance with high concurrency processing. Data can easily be partitioned (sharded) or replicated between nodes allowing performance to scale as needed. Durability is ensured through redundant in-memory copies and disk-based persistence. Super fast write-ahead-logging (WAL) persistence with a shared-nothing architecture that is optimized for fast parallel recovery of nodes or an entire cluster. -
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Azure FXT Edge Filer
Microsoft
Create cloud-integrated hybrid storage that works with your existing network-attached storage (NAS) and Azure Blob Storage. This on-premises caching appliance optimizes access to data in your datacenter, in Azure, or across a wide-area network (WAN). A combination of software and hardware, Microsoft Azure FXT Edge Filer delivers high throughput and low latency for hybrid storage infrastructure supporting high-performance computing (HPC) workloads.Scale-out clustering provides non-disruptive NAS performance scaling. Join up to 24 FXT nodes per cluster to scale to millions of IOPS and hundreds of GB/s. When you need performance and scale in file-based workloads, Azure FXT Edge Filer keeps your data on the fastest path to processing resources. Managing data storage is easy with Azure FXT Edge Filer. Shift aging data to Azure Blob Storage to keep it easily accessible with minimal latency. Balance on-premises and cloud storage. -
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Apache Accumulo
Apache Corporation
With Apache Accumulo, users can store and manage large data sets across a cluster. Accumulo uses Apache Hadoop's HDFS to store its data and Apache ZooKeeper for consensus. While many users interact directly with Accumulo, several open source projects use Accumulo as their underlying store. To learn more about Accumulo, take the Accumulo tour, read the user manual and run the Accumulo example code. Feel free to contact us if you have any questions. Accumulo has a programming mechanism (called Iterators) that can modify key/value pairs at various points in the data management process. Every Accumulo key/value pair has its own security label which limits query results based off user authorizations. Accumulo runs on a cluster using one or more HDFS instances. Nodes can be added or removed as the amount of data stored in Accumulo changes. -
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simplyblock
simplyblock
Simplyblock provides a distributed storage solution for IO-intensive and latency-sensitive container workloads in the cloud, offering an alternative to Elastic Block Storage services. The storage solution enables thin provisioning, encryption, compression, storage virtualization, and more. Ultra-high performance at low TCO, offering available for AWS, fully containerized, deployment. Up to 100x improved cost-to-performance over currently prevailing software-defined storage technologies like Ceph. Start from single node, grow to 255 nodes in a single cluster. Scales safely with zero downtime. Performance scales linearly. Storage entities (logical volumes) are provisioned and attached on cluster-level, no manual configuration required. Drop-in replacement for your current k8s storage solution. Offers easy integration via StorageClass. Write concurrently on multiple containers and nodes via distributed file system support.Starting Price: $20/TB/month -
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IONOS Cloud Managed Kubernetes is a platform designed to orchestrate containerized applications through a fully automated Kubernetes environment that simplifies deployment, scaling, and management of container workloads. It enables users to quickly create and manage Kubernetes clusters and node pools without handling the complexity of the underlying infrastructure. It supports the automated setup of clusters on virtual servers and allows developers to configure hardware properties such as CPU type, number of CPUs per node, RAM, storage size, and storage performance to match specific workload requirements. It is built for distributed production environments and provides integrated persistent storage so that both stateless applications and stateful services can run reliably. Automatic scaling adjusts resources up or down depending on demand, maintaining consistent performance and availability during traffic spikes while preventing unnecessary overprovisioning.Starting Price: $0.05 per hour
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CloudCasa
CloudCasa by Catalogic
CloudCasa is a Kubernetes backup and recovery solution for multi-cluster and multi-cloud recovery, named a leader and outperformer by industry analysts. With CloudCasa, developers, DevOps, and Platform Engineering teams don’t need to be a storage or data protection expert to backup and restore your Kubernetes clusters, or to manage Velero. As a powerful and easy to use Kubernetes backup and Velero management service, start with CloudCasa for Velero, and upgrade as needed to CloudCasa Pro, to get advanced multi-cloud application recovery. Let CloudCasa do all the hard work of managing and protecting your cluster resources and persistent data from human error, security breaches, and service failures, providing the business continuity and compliance that your business requires. It's easy for a single cluster, and just as easy for large, complex, multi-cluster, multi-cloud, and hybrid cloud environments.Starting Price: $19 per node per month -
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Red Hat Data Grid
Red Hat
Red Hat® Data Grid is an in-memory, distributed, NoSQL datastore solution. Your applications can access, process, and analyze data at in-memory speed to deliver a superior user experience. High performance, elastic scalability, always available. Quickly access your data through fast, low-latency data processing using memory (RAM) and distributed parallel execution. Achieve linear scalability with data partitioning and distribution across cluster nodes. Gain high availability through data replication across cluster nodes. Attain fault tolerance and recover from disaster through cross-datacenter geo-replication and clustering. Gain development flexibly and greater productivity with a highly versatile, functionally rich NoSQL data store. Obtain comprehensive data security with encryption and role-based access. Data Grid 7.3.10 provides a security enhancement to address a CVE. You must upgrade any Data Grid 7.3 deployments to version 7.3.10 as soon as possible. -
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NetApp MetroCluster
NetApp
NetApp MetroCluster configurations implement two physically separated, mirrored ONTAP clusters that operate in concert to deliver continuous data and SVM protection. Each cluster synchronously replicates its data aggregates to its partner to maintain identical copies mirrored across both sites. In the event of a site failure, administrators can activate the mirrored SVM on the surviving cluster and resume data serving seamlessly. MetroCluster supports both fabric-attached (FC) and IP-based cluster setups: fabric-attached MetroCluster uses FC transport for SyncMirror between sites, while MetroCluster IP leverages layer‑2 stretched IP networks. Stretch MetroCluster deployments enable campus-wide coverage, MetroCluster IP supports configurations up to four nodes with NVMe/FC or NVMe/TCP starting in ONTAP 9.12.1/9.15.1, and front-end SAN protocols like FC, FCoE, and iSCSI are all supported. -
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More data resilience is in store. Monitor, protect, detect and recover across primary and secondary storage. IBM Storage Defender detects threats early and helps you safely and quickly recover your operations in the event of an attack. It is part of the IBM Storage portfolio for data resilience. IBM Storage Defender provides visibility across all of your storage, leverages AI-driven intelligence from IBM to detect threats such as ransomware, and identifies the safest recovery points. Defender integrates with your existing security operations so you can recover quickly and securely. See what IBM Storage Defender can do by registering for a live demo today. Align infrastructure, data, and security teams through actionable alerts so that threats can be quickly isolated, and recovery plans can be quickly executed. Identify the safest recovery points and orchestrate recovery at scale across primary and secondary workloads.
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Exasol
Exasol
With an in-memory, columnar database and MPP architecture, you can query billions of rows in seconds. Queries are distributed across all nodes in a cluster, providing linear scalability for more users and advanced analytics. MPP, in-memory, and columnar storage add up to the fastest database built for data analytics. With SaaS, cloud, on premises and hybrid deployment options you can analyze data wherever it lives. Automatic query tuning reduces maintenance and overhead. Seamless integrations and performance efficiency gets you more power at a fraction of normal infrastructure costs. Smart, in-memory query processing allowed this social networking company to boost performance, processing 10B data sets a year. A single data repository and speed engine to accelerate critical analytics, delivering improved patient outcome and bottom line.
