Alternatives to Apache Knox
Compare Apache Knox alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Apache Knox in 2026. Compare features, ratings, user reviews, pricing, and more from Apache Knox competitors and alternatives in order to make an informed decision for your business.
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Amazon API Gateway
Amazon
Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. APIs act as the "front door" for applications to access data, business logic, or functionality from your backend services. Using API Gateway, you can create RESTful APIs and WebSocket APIs that enable real-time two-way communication applications. API Gateway supports containerized and serverless workloads, as well as web applications. API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, CORS support, authorization and access control, throttling, monitoring, and API version management. API Gateway has no minimum fees or startup costs. You pay for the API calls you receive and the amount of data transferred out and, with the API Gateway tiered pricing model, you can reduce your cost as your API usage scales.Starting Price: $0.90 -
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AccuKnox
AccuKnox
AccuKnox provides a zero trust Cloud Native Application Security (CNAPP) platform. AccuKnox is built in partnership with SRI (Stanford Research Institute) and is anchored on seminal inventions in the areas of container security, anomaly detection, and data provenance. AccuKnox can be deployed in public and private cloud environments. AccuKnox runtime Security helps you discover the application Behavior of the workloads running in a public cloud, private cloud, or on-prem in VM/BareMetal or local Kubernetes orchestrated cluster or unorchestrated pure-containerized cluster. If any ransomware attacker tries to compromise the security of the pod and gets access to the vault pod, they can do a command injection and encrypt the secrets stored in the volume mount points. Then the organizations have to pay millions of dollars to get back their secrets decrypted.Starting Price: $999 per month -
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Samsung Knox Suite
Samsung
Knox Suite is an all-in-one enterprise mobility solution designed to secure, deploy, manage, and analyze work devices across their entire lifecycle. Built on the Samsung Knox platform, it enables organizations to safeguard device fleets and corporate data by detecting vulnerabilities, enforcing security patches, verifying device integrity remotely, and locking or wiping devices when needed. Deployment is streamlined with automated enrollment options, such as QR-code setup or bulk provisioning by certified resellers, and devices seamlessly integrate into the Knox ecosystem with a unified single-sign-on admin experience. Device and app management is handled centrally: IT teams can define granular policies by location, time, network status, or device state; control OS versions and updates; distribute, configure, or remove apps; and lock down lost or stolen devices. -
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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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Knox
Pinterest
Knox is a secret management service. Knox is a service for storing and rotation of secrets, keys, and passwords used by other services. Pinterest has a plethora of keys or secrets doing things like signing cookies, encrypting data, protecting our network via TLS, accessing our AWS machines, communicating with our third parties, and many more. If these keys become compromised, rotating (or changing our keys) used to be a difficult process generally involving a deploy and likely a code change. Keys/secrets within Pinterest were stored in git repositories. This means they were copied all over our company's infrastructure and present on many of our employees laptops. There was no way to audit who accessed or who has access to the keys. Knox was built to solve these problems. Ease of use for developers to access/use confidential secrets, keys, and credentials. Confidentiality for secrets, keys, and credentials. Provide mechanisms for key rotation in case of compromise. -
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Tencent Cloud API Gateway
Tencent
API Gateway can be configured in the console or through Tencent Cloud APIs so that you do not need to build additional devices for deployment. It can be quickly constructed as needed using the documentation provided by Tencent Cloud. Tencent Cloud's API Gateway features visual monitoring and a rich set of OPS capabilities such as resource management, tenant isolation, and access control, freeing you from heavy OPS workload. API Gateway can be deployed in clusters so that failover can be quickly performed for faulty gateway nodes to guarantee high service reliability. API Gateway is priced competitively and billed based on the number of API calls made and the traffic generated. -
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PaymentKnox
nsKnox
nsKnox is a fintech-security company, enabling corporations and banks to prevent fraud and ensure compliance in B2B Payments. Founded and led by Alon Cohen, Founder & former CEO of CyberArk (NASDAQ: CYBR), nsKnox solutions help organizations avoid significant financial losses, heavy fines, and reputational damage. Cybercriminals today are using ever-more sophisticated techniques, such as vendor impersonation, business email compromise (BEC), and social engineering, to divert outgoing corporate payments to their own fraudulent accounts. As their success rates grow so does the financial damage incurred by targeted organizations. PaymentKnox™ for Accounts Payable introduces a technology-driven approach that enables organizations to minimize the risk of human error and prevent unauthorized payments. -
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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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Knox
Knox Custody
Bitcoin custody that is insured to the full value of holdings for the risk of theft and loss, including collusion. No need to blindly trust Knox. We made it such that we cannot be evil and only focus on warehousing services. Collusion-resistant private key management is the nut we’ve cracked after years of R&D to isolate critical risks. For insurance, the devil is in the details. Most policies covering Bitcoin theft and loss fall short and provide a false sense of security. All Knox custody accounts are insurable up to the full value of holdings. Insurance limits are exclusively allocated to each client account. Signed certificates attesting to our insurance guarantees. For CFOs and executive teams who want bitcoin in their corporate treasury. Whether you are a small business or a listed enterprise, we will help you efficiently buy and securely custody bitcoin. -
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CloudKnox
CloudKnox
Least Privilege Policy Enforcement for AWS, Azure, Google Cloud and VMware. CloudKnox delivers the only platform that enables the continuous creation, monitoring and enforcement of least privilege policies across your cloud infrastructure. Continuous protection of your critical cloud resources from accidents and malicious insiders. Discover Discover who is doing what, when, and where across your cloud infrastructure - in seconds. Manage Give identities “just-enough” and “just-in-time” privileges with the click of a button. Monitor Track user activity patterns and instantly receive detailed reports of anomalies and suspicious behavior. Respond Quickly and easily resolve insider threats across cloud platforms with a comprehensive, unified view of all identities, actions, and resources. -
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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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Samsung Blockchain Wallet
Samsung
Keep your valuables safe and secure with Samsung Blockchain. With added protection from Knox, Samsung Blockchain Keystore and Wallet keeps your virtual assets secure. Also, Private Share ensure that your valuable data and information are managed and shared without risking your privacy. Samsung Blockchain Wallet brings secure virtual asset management to mobile. Support for major and non-major virtual assets are regularly updated and include favorites like Bitcoin, Ethereum, ERC20, Tron and more. The future of data security lies in blockchain tech. Samsung Blockchain keeps your private key in a single, secure location and provides encryption for your data files with this private key. With additional protection from Samsung Knox and Trusted Execution Environment (TEE), your virtual assets are protected and your files are shared securely with private share. -
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Knox
Knox
Knox Systems is an AI-powered compliance and cloud platform designed to help SaaS companies achieve FedRAMP authorization quickly and deploy secure applications for the U.S. government. It provides a managed federal cloud environment combined with automated compliance tools that streamline the traditionally complex and time-consuming certification process, reducing timelines from years to as little as 90 days. It includes AI-driven capabilities such as real-time inventory tracking, automated mapping of infrastructure to FedRAMP and NIST security controls, continuous monitoring, and automated remediation of vulnerabilities, ensuring systems remain compliant over time. Knox operates a pre-authorized cloud “boundary” where applications can inherit security controls, eliminating the need for companies to rebuild their architecture while still meeting strict federal requirements. -
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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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Traefik
Traefik Labs
What is Traefik Enterprise Edition? TraefikEE is a cloud-native load balancer and Kubernetes ingress controller that eases networking complexity for application teams. Built on top of open source Traefik, TraefikEE brings exclusive distributed and high-availability features combined with premium bundled support for production grade deployments. Split into proxies and controllers, TraefikEE supports clustered deployments to increase security, scalability and high availability. Deploy applications anywhere, on-premises or in the cloud, and natively integrate with top-notch infrastructure tooling. Save time and give better consistency while deploying, managing, and scaling applications by leveraging dynamic and automatic TraefikEE features. Improve the application development and delivery cycle by giving developers the visibility and ownership of their services. -
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alvaDesc
Alvascience
alvaDesc is a cheminformatics software for the calculation and analysis of molecular descriptors, fingerprints, and structural patterns for QSAR, QSPR, read-across, and machine learning applications. It computes more than 5,000 molecular descriptors (0D–3D), including constitutional, topological, geometrical, electronic, physicochemical, and fragment-based descriptors. The software also generates molecular fingerprints and structural pattern counts for similarity analysis, clustering, and classification. Integrated tools support descriptor filtering and correlation analysis for robust and reproducible modeling. alvaDesc integrates seamlessly with KNIME and Python, enabling efficient connection to external data analysis and machine learning workflows. It is widely used in academic and industrial research and supported by extensive documentation and scientific publications. -
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Apache HBase
The Apache Software Foundation
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Automatic failover support between RegionServers. Easy to use Java API for client access. Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options. Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX. -
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Apache Mesos
Apache Software Foundation
Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes. -
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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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Red Hat Advanced Cluster Management for Kubernetes controls clusters and applications from a single console, with built-in security policies. Extend the value of Red Hat OpenShift by deploying apps, managing multiple clusters, and enforcing policies across multiple clusters at scale. Red Hat’s solution ensures compliance, monitors usage and maintains consistency. Red Hat Advanced Cluster Management for Kubernetes is included with Red Hat OpenShift Platform Plus, a complete set of powerful, optimized tools to secure, protect, and manage your apps. Run your operations from anywhere that Red Hat OpenShift runs, and manage any Kubernetes cluster in your fleet. Speed up application development pipelines with self-service provisioning. Deploy legacy and cloud-native applications quickly across distributed clusters. Free up IT departments with self-service cluster deployment that automatically delivers applications.
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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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Tencent Cloud Elastic MapReduce
Tencent
EMR enables you to scale the managed Hadoop clusters manually or automatically according to your business curves or monitoring metrics. EMR's storage-computation separation even allows you to terminate a cluster to maximize resource efficiency. EMR supports hot failover for CBS-based nodes. It features a primary/secondary disaster recovery mechanism where the secondary node starts within seconds when the primary node fails, ensuring the high availability of big data services. The metadata of its components such as Hive supports remote disaster recovery. Computation-storage separation ensures high data persistence for COS data storage. EMR is equipped with a comprehensive monitoring system that helps you quickly identify and locate cluster exceptions to ensure stable cluster operations. VPCs provide a convenient network isolation method that facilitates your network policy planning for managed Hadoop clusters. -
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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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MLlib
Apache Software Foundation
Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem. -
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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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Apache APISIX
Apache APISIX
Apache APISIX provides rich traffic management features like Load Balancing, Dynamic Upstream, Canary Release, Circuit Breaking, Authentication, Observability, etc. Apache APISIX provides open source API Gateway to help you manage microservices, delivering the ultimate performance, security, and scalable platform for all your APIs and microservices. Apache APISIX is the first open-source API Gateway that includes a built-in low-code Dashboard, which offers a powerful and flexible UI for developers to use. The Apache APISIX Dashboard is designed to make it as easy as possible for users to operate Apache APISIX through a frontend interface. It’s open-source and ever evolving, feel free to contribute. The Apache APISIX dashboard is flexible to User demand, providing option to create custom modules through code matching your requirements, alongside the existing no-code toolchain. -
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Zuplo
Zuplo
We’re reinventing API & MCP management for everybody, from startups to enterprises. Add authentication, analytics, rate-limiting, and developer documentation to your APIs and MCP servers in minutes. Protect your API by adding rate-limiting with Zuplo in minutes, and add over 50 available plugins like authentication to your API with a single click. Zuplo was built on the edge and deployed to +300 data centers in the world, which makes multi-cloud deployments first-class. With Zuplo you can run different workloads in different clouds while enforcing a unified set of security policies. Zuplo is the only API gateway that runs your OpenAPI spec directly. Leverage the OpenAPI ecosystem to build your API, and then deploy it to Zuplo without additional configuration. Zuplo automatically generates beautiful docs for your API. You can customize the docs with markdown and devs can self-serve API Keys directly from your docs. You can also directly generate hosted MCP servers from your OpenAPI.Starting Price: $0 per month -
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Lura
Lura
An extendable, simple and stateless high-performance API Gateway framework designed for both cloud-native and on-prem setups. Consumers of REST API content (especially in microservices) often query backend services that weren’t coded for the UI implementation. This is of course a good practice, but the UI consumers need to do implementations that suffer a lot of complexity and burden with the sizes of their microservices responses. Lura is an API Gateway builder and proxy generator that sits between the client and all the source servers, adding a new layer that removes all the complexity to the clients, providing them only the information that the UI needs. Lura acts as an aggregator of many sources into single endpoints and allows you to group, wrap, transform and shrink responses. Additionally, it supports a myriad of middlewares and plugins that allow you to extend the functionality, such as adding Oauth authorization or security layers. -
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ContextForge MCP Gateway is an open source Model Context Protocol (MCP) gateway, registry, and proxy platform that provides a unified endpoint for AI clients to discover and access tools, resources, prompts, and REST or MCP services in complex AI ecosystems. It sits in front of multiple MCP servers and REST APIs to federate and unify discovery, authentication, rate-limiting, observability, and traffic routing across diverse backends, with support for transports such as HTTP, JSON-RPC, WebSocket, SSE, stdio, and streamable HTTP, and can virtualize legacy APIs as MCP-compliant tools. It includes an optional Admin UI for real-time configuration, monitoring, and log visibility, and is designed to scale from standalone deployments to multi-cluster Kubernetes environments with Redis-backed federation and caching for performance and resilience.
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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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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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Apache Mahout
Apache Software Foundation
Apache Mahout is a powerful, scalable, and versatile machine learning library designed for distributed data processing. It offers a comprehensive set of algorithms for various tasks, including classification, clustering, recommendation, and pattern mining. Built on top of the Apache Hadoop ecosystem, Mahout leverages MapReduce and Spark to enable data processing on large-scale datasets. Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. Apache Spark is the recommended out-of-the-box distributed back-end or can be extended to other distributed backends. Matrix computations are a fundamental part of many scientific and engineering applications, including machine learning, computer vision, and data analysis. Apache Mahout is designed to handle large-scale data processing by leveraging the power of Hadoop and Spark. -
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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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ZetaAnalytics
Halliburton
The ZetaAnalytics product requires a compatible database appliance for its Data Warehouse. Landmark has qualified the ZetaAnalytics software using Teradata, EMC Greenplum, and IBM Netezza. Please see the ZetaAnalytics Release Notes for the most up to date qualified versions. Before installing and configuring ZetaAnalytics software, ensure that the Data Warehouse you use for drilling data is created and running. Scripts to create the various Zeta-specific database components within the Data Warehouse will need to be run as part of the installation process. These require database administrator (DBA) rights. The ZetaAnalytics product requires Apache Hadoop for model scoring and real-time streaming. If you do not already have an Apache Hadoop cluster installed in your environment, please install it before running the ZetaAnalytics installer, which will prompt you for the name and port number of your Hadoop Name Server and Map Reducer. -
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Apache Bigtop
Apache Software Foundation
Bigtop is an Apache Foundation project for Infrastructure Engineers and Data Scientists looking for comprehensive packaging, testing, and configuration of the leading open source big data components. Bigtop supports a wide range of components/projects, including, but not limited to, Hadoop, HBase and Spark. Bigtop packages Hadoop RPMs and DEBs, so that you can manage and maintain your Hadoop cluster. Bigtop provides an integrated smoke testing framework, alongside a suite of over 50 test files. Bigtop provides vagrant recipes, raw images, and (work-in-progress) docker recipes for deploying Hadoop from zero. Bigtop support many Operating Systems, including Debian, Ubuntu, CentOS, Fedora, openSUSE and many others. Bigtop includes tools and a framework for testing at various levels (packaging, platform, runtime, etc.) for both initial deployments as well as upgrade scenarios for the entire data platform, not just the individual components. -
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Apollo GraphOS
Apollo GraphQL
Apollo GraphOS is an API orchestration platform designed to help teams build, scale, and manage a unified supergraph across any number of services and applications. It brings together a secure, high-performance runtime layer with a centralized cloud management plane for seamless collaboration. Developers can unify REST APIs using Apollo Connectors, making it easy to migrate or integrate systems into GraphQL Federation. The GraphOS Router provides real-time capabilities, advanced caching, policy enforcement, and observability for large, distributed architectures. GraphOS Studio further enhances workflows with schema collaboration, CI/CD integration, and tooling that accelerates development. With flexible hosting options, GraphOS simplifies the delivery of modern, scalable GraphQL experiences.Starting Price: $49 per month -
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Deploy and orchestrate applications on a managed Kubernetes platform with centralized, SaaS-based management of distributed applications with a single pane of glass and rich observability. Simplify by managing deployments as one across on-prem, cloud, and edge locations. Achieve effortless management and scaling of applications across multiple k8s clusters (customer sites or F5 Distributed Cloud Regional Edge) with a single Kubernetes compatible API, unlocking the ease of multi-cluster management. Deploy, deliver, and secure applications to all locations as one ”virtual” location. Deploy, secure, and operate distributed applications with uniform production grade Kubernetes no matter the location, from private and public cloud to edge locations. Secure K8s Gateway with zero trust security all the way to the cluster with ingress services with WAAP, service policies management, network, and application firewall.
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Tetrate
Tetrate
Connect and manage applications across clusters, clouds, and data centers. Coordinate app connectivity across heterogeneous infrastructure from a single management plane. Integrate traditional workloads into your cloud-native application infrastructure. Create tenants within your business to define fine-grained access control and editing rights for teams on shared infrastructure. Audit the history of changes to services and shared resources from day zero. Automate traffic shifting across failure domains before your customers notice. TSB sits at the application edge, at cluster ingress, and between workloads in your Kubernetes and traditional compute clusters. Edge and ingress gateways route and load balance application traffic across clusters and clouds while the mesh controls connectivity between services. A single management plane configures connectivity, security, and observability for your entire application network. -
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Container Engine for Kubernetes (OKE) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute shapes. DevOps engineers can use unmodified, open source Kubernetes for application workload portability and to simplify operations with automatic updates and patching. Deploy Kubernetes clusters including the underlying virtual cloud networks, internet gateways, and NAT gateways with a single click. Automate Kubernetes operations with web-based REST API and CLI for all actions including Kubernetes cluster creation, scaling, and operations. Oracle Container Engine for Kubernetes does not charge for cluster management. Easily and quickly upgrade container clusters, with zero downtime, to keep them up to date with the latest stable version of Kubernetes.
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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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Calico Enterprise
Tigera
A self-managed, active security platform with full-stack observability for containers and Kubernetes. Calico Enterprise is the industry’s only active security platform with full-stack observability for containers and Kubernetes. Calico Enterprise extends the declarative nature of Kubernetes to specify security and observability as code. This ensures consistent enforcement of security policies and compliance, and provides observability for troubleshooting across multi-cluster, multi-cloud and hybrid deployments. Implement zero-trust workload access controls for traffic to and from individual pods to external endpoints on a per-pod basis, to protect your Kubernetes cluster. Author DNS policies that implement fine-grained access controls between a workload and the external services it needs to connect to, like Amazon RDS, ElastiCache, and more. -
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Amazon EMR
Amazon
Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting. -
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Kyverno
Kyverno
Kyverno is a policy engine designed for Kubernetes. With Kyverno, policies are managed as Kubernetes resources and no new language is required to write policies. This allows using familiar tools such as kubectl, Git, and Kustomize to manage policies. Kyverno policies can validate, mutate, and generate Kubernetes resources plus ensure OCI image supply chain security. The Kyverno CLI can be used to test policies and validate resources as part of a CI/CD pipeline. Kyverno allows cluster administrators to manage environment specific configurations independently of workload configurations and enforce configuration best practices for their clusters. Kyverno can be used to scan existing workloads for best practices, or can be used to enforce best practices by blocking or mutating API requests. Block non-conformant resources using admission controls, or report policy violations. -
45
Azure Kubernetes Fleet Manager
Microsoft
Easily handle multicluster scenarios for Azure Kubernetes Service (AKS) clusters such as workload propagation, north-south load balancing (for traffic flowing into member clusters), and upgrade orchestration across multiple clusters. Fleet cluster enables centralized management of all your clusters at scale. The managed hub cluster takes care of the upgrades and Kubernetes cluster configuration for you. Kubernetes configuration propagation lets you use policies and overrides to disseminate objects across fleet member clusters. North-south load balancer orchestrates traffic flow across workloads deployed in multiple member clusters of the fleet. Group any combination of your Azure Kubernetes Service (AKS) clusters to simplify multi-cluster workflows like Kubernetes configuration propagation and multi-cluster networking. Fleet requires a hub Kubernetes cluster to store configurations for placement policy and multicluster networking.Starting Price: $0.10 per cluster per hour -
46
Kusk
Kubeshop
Kusk is an Open Source API Gateway that allows you to develop, monitor and deploy your APIs in a matter of minutes. Kusk powers-up your API workflows with mocked responses and validated requests out-of-the-box and automates the deployment of the API Gateway with your favorite GitOps workflows. Have a single source of truth for your API by using the OpenAPI Standard, meaning no additional configuration files are needed!Starting Price: Free -
47
Samsung Pass
Samsung
Say goodbye to forgotten passwords. Get past security with just a glance or touch. Just use your biometrics to log in to your apps and websites quickly and securely. Samsung Pass is an ’identity management as-a-service’, enabling secure access through biometric authentication. Simply authenticate through biometrics without ID & Password input. No need to input an ID & Password to log in to websites anymore. Samsung Pass provides an enhanced user experience by integrating advanced biometrics. Your biometric template will be encrypted and secured by Samsung Knox. Samsung Pass adopts FIDO (Fast Identity Online) technology to ensure valid authentications and provide simple and secure biometric authentication services. -
48
Alibaba Cloud API Gateway
Alibaba Cloud
API Gateway provides API lifecycle management services, including API publishing, management, maintenance, and monetization. It enables simple and fast microservice integration, front and back end separation, and system integration at low costs and low risks. You can use API Gateway to share functions and data with your partners and third-party developers. Provides API documentation, SDKs, and API version management to reduce the daily maintenance costs. API Gateway supports distributed deployment and auto-scaling to respond to large numbers of requests with low latency. API Gateway activation and API management are free of charge. You only need to pay for APIs that you have called. API Gateway supports permission management, traffic throttling, monitoring, and alarms. You can allow API Gateway to access your services in the intranet without causing any security issues.Starting Price: $0.45 per million calls -
49
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. -
50
Load your data into or out of Hadoop and data lakes. Prep it so it's ready for reports, visualizations or advanced analytics – all inside the data lakes. And do it all yourself, quickly and easily. Makes it easy to access, transform and manage data stored in Hadoop or data lakes with a web-based interface that reduces training requirements. Built from the ground up to manage big data on Hadoop or in data lakes; not repurposed from existing IT-focused tools. Lets you group multiple directives to run simultaneously or one after the other. Schedule and automate directives using the exposed Public API. Enables you to share and secure directives. Call them from SAS Data Integration Studio, uniting technical and nontechnical user activities. Includes built-in directives – casing, gender and pattern analysis, field extraction, match-merge and cluster-survive. Profiling runs in-parallel on the Hadoop cluster for better performance.
