Alternatives to Amazon S3 Express One Zone
Compare Amazon S3 Express One Zone alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Amazon S3 Express One Zone in 2026. Compare features, ratings, user reviews, pricing, and more from Amazon S3 Express One Zone competitors and alternatives in order to make an informed decision for your business.
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Amazon Web Services (AWS)
Amazon
Amazon Web Services (AWS) is the world’s most comprehensive cloud platform, trusted by millions of customers across industries. From startups to global enterprises and government agencies, AWS provides on-demand solutions for compute, storage, networking, AI, analytics, and more. The platform empowers organizations to innovate faster, reduce costs, and scale globally with unmatched flexibility and reliability. With services like Amazon EC2 for compute, Amazon S3 for storage, SageMaker for AI/ML, and CloudFront for content delivery, AWS covers nearly every business and technical need. Its global infrastructure spans 120 availability zones across 38 regions, ensuring resilience, compliance, and security. Backed by the largest community of customers, partners, and developers, AWS continues to lead the cloud industry in innovation and operational expertise. -
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Amazon S3
Amazon
Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. This means customers of all sizes and industries can use it to store and protect any amount of data for a range of use cases, such as data lakes, websites, mobile applications, backup and restore, archive, enterprise applications, IoT devices, and big data analytics. Amazon S3 provides easy-to-use management features so you can organize your data and configure finely-tuned access controls to meet your specific business, organizational, and compliance requirements. Amazon S3 is designed for 99.999999999% (11 9's) of durability, and stores data for millions of applications for companies all around the world. Scale your storage resources up and down to meet fluctuating demands, without upfront investments or resource procurement cycles. Amazon S3 is designed for 99.999999999% (11 9’s) of data durability. -
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Amazon Redshift
Amazon
More customers pick Amazon Redshift than any other cloud data warehouse. Redshift powers analytical workloads for Fortune 500 companies, startups, and everything in between. Companies like Lyft have grown with Redshift from startups to multi-billion dollar enterprises. No other data warehouse makes it as easy to gain new insights from all your data. With Redshift you can query petabytes of structured and semi-structured data across your data warehouse, operational database, and your data lake using standard SQL. Redshift lets you easily save the results of your queries back to your S3 data lake using open formats like Apache Parquet to further analyze from other analytics services like Amazon EMR, Amazon Athena, and Amazon SageMaker. Redshift is the world’s fastest cloud data warehouse and gets faster every year. For performance intensive workloads you can use the new RA3 instances to get up to 3x the performance of any cloud data warehouse.Starting Price: $0.25 per hour -
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Amazon SageMaker
Amazon
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers. -
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safes3
Wodanio Group
safes3 is a fully GDPR-compliant, S3-compatible object storage solution hosted exclusively on servers in Germany. It offers secure, transparent, and fair data storage at only EUR 0.025 per GB per month, with no setup fees, minimum contract term, or hidden costs. All data is end-to-end encrypted (SSL/TLS), stored redundantly, and protected by advanced DDoS defense systems. With a 99.5% uptime guarantee and German-based technical support via email and phone, safes3 ensures reliability and trust. The service integrates seamlessly with existing tools and applications through its S3-compatible API, supporting AWS CLI, Cyberduck, CloudBerry, and AWS SDKs. Sustainability is a key pillar of safes3, powered by 100% renewable energy, heat recovery systems, and certified second-life hardware. safes3 – simple, secure, and sustainable.Starting Price: $0 -
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Yandex Object Storage
Yandex
Objects in Object Storage are stored in multiple geographically distributed availability zones. Each replica is updated when you edit, create, or delete an object. To manage Object Storage, you can use tools that are compatible with Amazon S3, including the API, CLI, WinSCP, Java SDK, or Python SDK. To get started with Object Storage, go to the Yandex Cloud management console. Create and configure your first bucket. Drag files to the bucket screen to upload them. Physical media is located in Yandex data centers, which are highly secure facilities. Data is stored in an encrypted format and no one with access to the physical media can read the data. -
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Amazon EC2 UltraClusters
Amazon
Amazon EC2 UltraClusters enable you to scale to thousands of GPUs or purpose-built machine learning accelerators, such as AWS Trainium, providing on-demand access to supercomputing-class performance. They democratize supercomputing for ML, generative AI, and high-performance computing developers through a simple pay-as-you-go model without setup or maintenance costs. UltraClusters consist of thousands of accelerated EC2 instances co-located in a given AWS Availability Zone, interconnected using Elastic Fabric Adapter (EFA) networking in a petabit-scale nonblocking network. This architecture offers high-performance networking and access to Amazon FSx for Lustre, a fully managed shared storage built on a high-performance parallel file system, enabling rapid processing of massive datasets with sub-millisecond latencies. EC2 UltraClusters provide scale-out capabilities for distributed ML training and tightly coupled HPC workloads, reducing training times. -
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Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models. Built on Amazon DataZone, it integrates various AWS analytics and AI/ML services, such as Amazon EMR, AWS Glue, and Amazon Bedrock, into a single platform. Users can discover, access, and process data from various sources like Amazon S3 and Redshift, and develop generative AI applications. With tools for model development, governance, MLOps, and AI customization, SageMaker Unified Studio provides an efficient, secure, and collaborative environment for data teams.
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Amazon DocumentDB
Amazon
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data. Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). -
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Amazon EC2 G4 Instances
Amazon
Amazon EC2 G4 instances are optimized for machine learning inference and graphics-intensive applications. It offers a choice between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad). G4dn instances combine NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing a balance of compute, memory, and networking resources. These instances are ideal for deploying machine learning models, video transcoding, game streaming, and graphics rendering. G4ad instances, featuring AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, deliver cost-effective solutions for graphics workloads. Both G4dn and G4ad instances support Amazon Elastic Inference, allowing users to attach low-cost GPU-powered inference acceleration to Amazon EC2 and reduce deep learning inference costs. They are available in various sizes to accommodate different performance needs and are integrated with AWS services such as Amazon SageMaker, Amazon ECS, and Amazon EKS. -
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Amazon DataZone
Amazon
Amazon DataZone is a data management service that enables customers to catalog, discover, share, and govern data stored across AWS, on-premises, and third-party sources. It allows administrators and data stewards to manage and control access to data using fine-grained controls, ensuring that users have the appropriate level of privileges and context. The service simplifies data access for engineers, data scientists, product managers, analysts, and business users, facilitating data-driven insights through seamless collaboration. Key features of Amazon DataZone include a business data catalog for searching and requesting access to published data, project collaboration tools for managing and monitoring data assets, a web-based portal providing personalized views for data analytics, and governed data sharing workflows to ensure appropriate data access. Additionally, Amazon DataZone automates data discovery and cataloging using machine learning. -
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Amazon S3 Vectors
Amazon
Amazon S3 Vectors is the first cloud object store with native support for storing and querying vector embeddings at scale, delivering purpose-built, cost-optimized vector storage for semantic search, AI agents, retrieval-augmented generation, and similarity-search applications. It introduces a new “vector bucket” type in S3, where users can organize vectors into “vector indexes,” store high-dimensional embeddings (representing text, images, audio, or other unstructured data), and run similarity queries via dedicated APIs, all without provisioning infrastructure. Each vector may carry metadata (e.g., tags, timestamps, categories), enabling filtered queries by attributes. S3 Vectors offers massive scale; now generally available, it supports up to 2 billion vectors per index and up to 10,000 vector indexes per bucket, with elastic, durable storage and server-side encryption (SSE-S3 or optionally KMS). -
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AWS Local Zones
Amazon
Run your low latency applications and meet data residency requirements in more locations. Run edge workloads with on-demand scaling and pay-as-you-go pricing. Build and operate with familiar AWS infrastructure, services, APIs, and tools. AWS Local Zones are a type of infrastructure deployment that places select AWS services closer to your end users and workloads. Run applications that require single-digit millisecond latency or local data processing by bringing AWS infrastructure closer to your end users and business centers. Build and deploy applications close to end users to enable real-time gaming, live streaming, augmented and virtual reality (AR/VR), virtual workstations, and more. Migrate your applications to a nearby AWS Local Zone, while still meeting the low-latency requirements of hybrid deployment. Comply with state and local data residency requirements in sectors such as healthcare, financial services, and government. -
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With Amazon SageMaker Model Monitor, you can select the data you would like to monitor and analyze without the need to write any code. SageMaker Model Monitor lets you select data from a menu of options such as prediction output, and captures metadata such as timestamp, model name, and endpoint so you can analyze model predictions based on the metadata. You can specify the sampling rate of data capture as a percentage of overall traffic in the case of high volume real-time predictions, and the data is stored in your own Amazon S3 bucket. You can also encrypt this data, configure fine-grained security, define data retention policies, and implement access control mechanisms for secure access. Amazon SageMaker Model Monitor offers built-in analysis in the form of statistical rules, to detect drifts in data and model quality. You can also write custom rules and specify thresholds for each rule.
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Amazon Aurora
Amazon
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.Starting Price: $0.02 per month -
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Amazon FSx for Lustre
Amazon
Amazon FSx for Lustre is a fully managed service that provides high-performance, scalable storage for compute-intensive workloads. Built on the open-source Lustre file system, it offers sub-millisecond latencies, up to hundreds of gigabytes per second of throughput, and millions of IOPS, making it ideal for applications such as machine learning, high-performance computing, video processing, and financial modeling. FSx for Lustre integrates seamlessly with Amazon S3, allowing you to link file systems to S3 buckets. This integration enables transparent access and processing of S3 data from a high-performance file system, with the ability to import and export data between FSx for Lustre and S3. The service supports multiple deployment options, including scratch file systems for temporary storage and persistent file systems for long-term storage, as well as SSD and HDD storage types to optimize cost and performance based on workload requirements.Starting Price: $0.073 per GB per month -
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By just writing the most important "core code" without concern for peripheral components, you can greatly reduce the complexity of the service architecture. SCF can scale up and down based on the number of requests with no manual configuration required. Regardless of the volume of requests to your application at any given time, SCF can automatically arrange suitable computing resources to meet business needs. If an available zone is down due to a natural disaster or power failure, SCF can automatically utilize the infrastructure of other available zones for code execution, eliminating the risk of service interruptions inherent in single-availability zone operations. Event-triggered workloads can be achieved using SCF that leverages different cloud services to meet the requirements of different business scenarios and further strengthen your service architecture.
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Cloudflare R2
Cloudflare
Cloudflare R2 is a global object storage service that allows developers to store large amounts of unstructured data without the costly egress bandwidth fees associated with typical cloud storage services. It supports multiple scenarios, including storage for cloud-native applications, web content, podcast episodes, data lakes, and outputs for large batch processes such as machine learning model artifacts or datasets. R2 offers features like location hints to optimize data access, CORS configuration for interacting with objects, public buckets to expose contents directly to the Internet, and bucket-scoped tokens for granular access control. It integrates with Cloudflare Workers, enabling developers to perform authentication, route requests, and deploy edge functions across a network of over 330 data centers. Additionally, R2 supports Apache Iceberg through its data catalog, transforming object storage into a fully functional data warehouse without management overhead.Starting Price: $0.015 per GB -
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The Nimbix Supercomputing Suite is a set of flexible and secure as-a-service high-performance computing (HPC) solutions. This as-a-service model for HPC, AI, and Quantum in the cloud provides customers with access to one of the broadest HPC and supercomputing portfolios, from hardware to bare metal-as-a-service to the democratization of advanced computing in the cloud across public and private data centers. Nimbix Supercomputing Suite allows you access to HyperHub Application Marketplace, our high-performance marketplace with over 1,000 applications and workflows. Leverage powerful dedicated BullSequana HPC servers as bare metal-as-a-service for the best of infrastructure and on-demand scalability, convenience, and agility. Federated supercomputing-as-a-service offers a unified service console to manage all compute zones and regions in a public or private HPC, AI, and supercomputing federation.
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IBM Cloudant
IBM
IBM Cloudant® is a distributed database that is optimized for handling heavy workloads that are typical of large, fast-growing web and mobile apps. Available as an SLA-backed, fully managed IBM Cloud™ service, Cloudant elastically scales throughput and storage independently. Instantly deploy an instance, create databases and independently scale throughput capacity and data storage to meet your application requirements. Encrypt all data, with optional user-defined encryption key management through IBM Key Protect, and integrate with IBM Identity and Access Management. Get continuous availability as Cloudant distributes data across availability zones and 6 regions for app performance and disaster recovery requirements. Get continuous availability as Cloudant distributes data across availability zones and 6 regions for app performance and disaster recovery requirements. -
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Amazon Macie
Amazon
Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect your sensitive data in AWS. As organizations manage growing volumes of data, identifying and protecting their sensitive data at scale can become increasingly complex, expensive, and time-consuming. Amazon Macie automates the discovery of sensitive data at scale and lowers the cost of protecting your data. Macie automatically provides an inventory of Amazon S3 buckets including a list of unencrypted buckets, publicly accessible buckets, and buckets shared with AWS accounts outside those you have defined in AWS Organizations. Then, Macie applies machine learning and pattern matching techniques to the buckets you select to identify and alert you to sensitive data, such as personally identifiable information (PII). -
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MedicaSoft NXT
MedicaSoft
MedicaSoft's NXT Platform is a scalable, high-performance, cloud-based health data platform designed for health information exchange, analytics, and transactional applications like clinical and patient portals. Hosted on Amazon Web Services (AWS) and offered as a Software-as-a-Service (SaaS) model, it utilizes AWS's HIPAA-compliant services to ensure high availability and security, with redundancy across server levels and availability zones. The platform features a modular ingest engine that parses, cleans, normalizes, transforms, and enriches clinical and claims data from various sources and formats, converting them into the HL7 FHIR data model before storage. Its high-performance data repository stores data in JSON format, accessible via a FHIR-compliant API, and employs advanced encryption for data protection. The NXT Platform's data warehouse, based on Amazon Redshift, offers extreme scalability and integrates easily with popular analytics tools. -
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Ascent WorkZone
Ascent Technology
The Ascent WorkZone workforce-management system forecasts your workload, creates the best plans to meet your forecasted workload, turns plans into schedules, assigns workers to schedules, adjusts schedules and assignments as workload changes, and assigns tasks to workers in real time. The Ascent WorkZone workforce-management system lowers your costs by ensuring that the size, timing, and composition of your workforce match the work to be done. The system also lowers your costs by reducing the time planners, managers, administrators, and supervisors spend creating plans and managing schedules. The Ascent WorkZone workforce-management system adjusts and readjusts work schedules dynamically in response to actual conditions. The system automatically identifies worker shortfalls, worker overages, and uncovered tasks as they emerge and suggests worker reassignments, early outs, and minimal-cost extra hours.Starting Price: $1 per month -
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Azure Database for PostgreSQL
Microsoft
Focus on application innovation, not database management, with a fully managed and intelligent Azure Database for PostgreSQL. Scale your workload quickly with ease and confidence. Enjoy high availability with a service-level agreement (SLA) of up to 99.99 percent uptime and a choice of same-zone or zone-redundant high availability, AI-powered performance recommendations, and built-in enterprise security. Focus on application innovation with a fully managed PostgreSQL database as a service. The zone-redundant high availability automates maintenance, patching, and updates. Provision in minutes and independently scale compute or storage. Decrease costs with comprehensive database monitoring and optimization tools. Take advantage of intelligent performance recommendations to help ensure peak performance. Migrate with ease using a fully managed PostgreSQL database with support for the latest versions. Build with your favorite PostgreSQL extensions such as Cron, PostGIS, PLV8, etc.Starting Price: $0.017 per hour -
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Google Cloud Storage
Google
Object storage for companies of all sizes. Store any amount of data. Retrieve it as often as you’d like. Configure your data with Object Lifecycle Management (OLM) to automatically transition to lower-cost storage classes when it meets the criteria you specify, such as when it reaches a certain age or when you’ve stored a newer version of the data. Cloud Storage has an ever-growing list of storage bucket locations where you can store your data with multiple automatic redundancy options. Whether you are optimizing for split-second response time, or creating a robust disaster recovery plan, customize where and how you store your data. Storage Transfer Service and Transfer Service for on-premises data offer two highly performant, online pathways to Cloud Storage—both with the scalability and speed you need to simplify the data transfer process. For offline data transfer our Transfer Appliance is a shippable storage server. -
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Amazon EC2 P4 Instances
Amazon
Amazon EC2 P4d instances deliver high performance for machine learning training and high-performance computing applications in the cloud. Powered by NVIDIA A100 Tensor Core GPUs, they offer industry-leading throughput and low-latency networking, supporting 400 Gbps instance networking. P4d instances provide up to 60% lower cost to train ML models, with an average of 2.5x better performance for deep learning models compared to previous-generation P3 and P3dn instances. Deployed in hyperscale clusters called Amazon EC2 UltraClusters, P4d instances combine high-performance computing, networking, and storage, enabling users to scale from a few to thousands of NVIDIA A100 GPUs based on project needs. Researchers, data scientists, and developers can utilize P4d instances to train ML models for use cases such as natural language processing, object detection and classification, and recommendation engines, as well as to run HPC applications like pharmaceutical discovery and more.Starting Price: $11.57 per hour -
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IONOS Cloud Object Storage is a scalable storage service designed for storing and accessing large amounts of unstructured data in cloud environments. It is fully compatible with the S3 API standard, allowing developers and IT teams to manage buckets and objects using existing S3 clients and tools while integrating easily into cloud-native applications and infrastructures. It enables organizations to store virtually unlimited volumes of static or backup data without the need to provision or manage traditional storage volumes. It is built for reliability and high availability, using redundant storage across multiple nodes so data remains accessible and protected even if infrastructure failures occur. It is particularly well-suited for storing backups, archives, and disaster recovery snapshots, as well as handling large datasets used in analytics, machine learning, or digital content platforms.Starting Price: $4.99 per TB
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Amazon SageMaker provides all the tools and libraries you need to build ML models, the process of iteratively trying different algorithms and evaluating their accuracy to find the best one for your use case. In Amazon SageMaker you can pick different algorithms, including over 15 that are built-in and optimized for SageMaker, and use over 150 pre-built models from popular model zoos available with a few clicks. SageMaker also offers a variety of model-building tools including Amazon SageMaker Studio Notebooks and RStudio where you can run ML models on a small scale to see results and view reports on their performance so you can come up with high-quality working prototypes. Amazon SageMaker Studio Notebooks help you build ML models faster and collaborate with your team. Amazon SageMaker Studio notebooks provide one-click Jupyter notebooks that you can start working within seconds. Amazon SageMaker also enables one-click sharing of notebooks.
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AWS Snowball
Amazon
Accelerate moving offline data or remote storage to the cloud. Easily migrate petabytes of data to the cloud without limits in storage capacity or compute power. Accelerate application performance in disconnected, austere edge environments and run compute workloads with little or no connectivity. Protect your data in transit with Snowball’s ruggedized chassis, integrated logistics, and tamper-evident box, and get data to the right place quickly. In the AWS Snowball console, select your preferred device, either AWS Snowball Edge Compute Optimized or AWS Snowball Edge Storage Optimized. Create a job with an Amazon S3 bucket, select Amazon Simple Notification Service (Amazon SNS) for tracking, and configure options like Amazon EC2 AMIs. AWS prepares and ships the device to you. Once the device arrives, power it up and use AWS OpsHub to unlock it. Connect to your LAN. Use AWS OpsHub to manage the device, transfer data, or launch EC2 instances. -
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Symantec Cloud Workload Protection
Broadcom
Many applications and services running in public clouds use Amazon S3 buckets and Azure Blob storage. Over time, storage can become contaminated with malware, misconfigured buckets can allow data breaches, and unclassified sensitive data can result in compliance violations and fines. CWP for Storage automatically discovers and scans Amazon S3 buckets and Azure Blobs to keep cloud storage clean and secure. CWP for Storage DLP applies Symantec DLP policy to Amazon S3 to discover and classify sensitive information. AWS Tags can be applied as needed for remediation and further actions in time. Cloud security posture management (CSPM) for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Containers improve agility, however they also bring public cloud security challenges and vulnerabilities that increase risk. -
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Amazon S3 Glacier
Amazon
Amazon S3 Glacier and S3 Glacier Deep Archive are a secure, durable, and extremely low-cost Amazon S3 cloud storage classes for data archiving and long-term backup. They are designed to deliver 99.999999999% durability, and provide comprehensive security and compliance capabilities that can help meet even the most stringent regulatory requirements. Customers can store data for as little as $1 per terabyte per month, a significant savings compared to on-premises solutions. To keep costs low yet suitable for varying retrieval needs, Amazon S3 Glacier provides three options for access to archives, from a few minutes to several hours, and S3 Glacier Deep Archive provides two access options ranging from 12 to 48 hours. The S3 Glacier storage classes offer sophisticated integration with AWS CloudTrail to log, monitor, and retain storage API call activities for auditing, and they support three different forms of encryption.Starting Price: $1 per terabyte per month -
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Connexis Cloud Lab
Integrated Management Solutions
Connexis Cloud Lab is cloud hosted lab software. Security guaranteed. Hosted in Amazons AWS GovCloud, enforcing the highest level of Security and Compliance, independent bi-annual Security Audits performed, redundant in multiple AWS zones -
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Amazon SageMaker Ground Truth
Amazon Web Services
Amazon SageMaker allows you to identify raw data such as images, text files, and videos; add informative labels and generate labeled synthetic data to create high-quality training data sets for your machine learning (ML) models. SageMaker offers two options, Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth, which give you the flexibility to use an expert workforce to create and manage data labeling workflows on your behalf or manage your own data labeling workflows. data labeling. If you want the flexibility to create and manage your own personal and data labeling workflows, you can use SageMaker Ground Truth. SageMaker Ground Truth is a data labeling service that makes data labeling easy and gives you the option of using human annotators via Amazon Mechanical Turk, third-party providers, or your own private staff.Starting Price: $0.08 per month -
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IBM Cloud offers enterprise-grade public and private authoritative domain name system services with fast response time, unparalleled redundancy, and advanced security. IBM Cloud domain name system services translate requests for domain names into IP addresses, and all your domains and can be managed through IBM’s user-friendly interface or by API. IBM Cloud DNS Services provides name resolution for virtual machines (VMs) within a VPC network and between VPC networks. Users can define their DNS zones and add individual host IPs to the zone to determine which VPC networks can access the DNS zone information. Available in all IBM Cloud Multizone Regions to ensure DNS services are highly available and fast. Only allow designated VPC networks to access your DNS records, which includes GDPR-sensitive IP and hostname information. Have your zones with the same name resolve to different addresses when queried from private VPC and public networks.
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AWS Elastic Load Balancing
Amazon
Elastic Load Balancing automatically routes incoming application traffic across multiple destinations, such as Amazon EC2 instances, containers, IP addresses, Lambda functions, and virtual appliances. You can control the variable load of your application traffic in a single zone or in multiple Availability Zones. Elastic Load Balancing offers four types of load balancers that have the necessary level of high availability, automatic scalability, and security to make your applications fault tolerant. Elastic Load Balancing is part of the AWS network, with native knowledge of fault limits like AZ to keep your applications available in one region, without requiring Global Server Load Balancing (GSLB). ELB is also a fully managed service, which means you can focus on delivering applications and not installing fleets of load balancers. Capacity is automatically added and removed based on the utilization of the underlying application servers.Starting Price: $0.027 USD per Load Balancer per hour -
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Amazon SageMaker makes it easy to deploy ML models to make predictions (also known as inference) at the best price-performance for any use case. It provides a broad selection of ML infrastructure and model deployment options to help meet all your ML inference needs. It is a fully managed service and integrates with MLOps tools, so you can scale your model deployment, reduce inference costs, manage models more effectively in production, and reduce operational burden. From low latency (a few milliseconds) and high throughput (hundreds of thousands of requests per second) to long-running inference for use cases such as natural language processing and computer vision, you can use Amazon SageMaker for all your inference needs.
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Serverless computing is ideal for systems with unpredictable loads. Storage scaling, query execution, and backup layers are fully automated. The compatibility of the service API in serverless mode allows you to use the AWS SDKs for Java, JavaScript, Node.js, .NET, PHP, Python, and Ruby. YDB is hosted in three availability zones, ensuring availability even if a node or availability zone goes offline. If equipment or a data center fails, the system automatically recovers and continues working. YDB is tailored to meet high-performance requirements and can process hundreds of thousands of transactions per second with low latency. The system was designed to handle hundreds of petabytes of data.
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100% compatible with Netezza. Single command-line upgrade path. Available on premises, on cloud or hybrid. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is an advanced data warehouse and analytics platform available both on premises and on cloud. With enhancements to in-database analytics capabilities, this next generation of Netezza enables you to do data science and machine learning with data volumes scaling into the petabytes. Failure detection and fast failure recovery. Single command-line upgrade to existing systems. Ability to query many systems as one. Choose the data center or availability zone closest to you, set the number of compute units and amount of storage required to run, and go. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is available on IBM Cloud®, Amazon Web Services (AWS) and Microsoft Azure. Deployable on a private cloud, Netezza is powered by IBM Cloud Pak for Data System.
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AWS HPC
Amazon
AWS High Performance Computing (HPC) services empower users to execute large-scale simulations and deep learning workloads in the cloud, providing virtually unlimited compute capacity, high-performance file systems, and high-throughput networking. This suite of services accelerates innovation by offering a broad range of cloud-based tools, including machine learning and analytics, enabling rapid design and testing of new products. Operational efficiency is maximized through on-demand access to compute resources, allowing users to focus on complex problem-solving without the constraints of traditional infrastructure. AWS HPC solutions include Elastic Fabric Adapter (EFA) for low-latency, high-bandwidth networking, AWS Batch for scaling computing jobs, AWS ParallelCluster for simplified cluster deployment, and Amazon FSx for high-performance file systems. These services collectively provide a flexible and scalable environment tailored to diverse HPC workloads. -
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Yandex Message Queue
Yandex
Use standard or FIFO (first in, first out) queues depending on the number of RPS (requests per second). Use familiar tools for interacting with Amazon SQS, the HTTP API, CLI, and libraries for various programming languages. Message Queue uses fast NVMe-enabled solid-state drives to store messages. Messages are stored as multiple copies in geographically distributed availability zones. This ensures reliable storage and low latency with write confirmations. Message Queue is integrated with cloud functions, a trigger invokes a function that handles messages from a queue. Create a queue and view the number of messages and call duration in statistics. Consumers read messages from a standard queue in random order. Standard queues guarantee that each message is delivered at least once. In rare cases, a message can be received from a standard queue twice. Use standard queues when you need maximum throughput.Starting Price: $0.012240 per GB -
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FancyZones
Microsoft
FancyZones is a window manager utility for arranging and snapping windows into efficient layouts to improve the speed of your workflow and restore layouts quickly. FancyZones allows you to define a set of zone locations to be used as targets for Windows on your desktop. When you drag a window into a zone or enter the associated keyboard shortcut, the window is resized and repositioned to fill that zone. You can also trigger zone selection mode by clicking the non-primary mouse button if the "Use non-primary mouse button to toggle zone activation" setting is enabled. If two zones are adjacent, a window can be snapped to the sum of their area (rounded to the minimum rectangle that contains both). When the mouse cursor is near the common edge of two zones, both zones are activated simultaneously, allowing you to drop the window into both zones. You can drag the window until one zone is activated, then press and hold the control key while dragging the window to select multiple zones.Starting Price: Free -
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Amazon EC2 P5 Instances
Amazon
Amazon Elastic Compute Cloud (Amazon EC2) P5 instances, powered by NVIDIA H100 Tensor Core GPUs, and P5e and P5en instances powered by NVIDIA H200 Tensor Core GPUs deliver the highest performance in Amazon EC2 for deep learning and high-performance computing applications. They help you accelerate your time to solution by up to 4x compared to previous-generation GPU-based EC2 instances, and reduce the cost to train ML models by up to 40%. These instances help you iterate on your solutions at a faster pace and get to market more quickly. You can use P5, P5e, and P5en instances for training and deploying increasingly complex large language models and diffusion models powering the most demanding generative artificial intelligence applications. These applications include question-answering, code generation, video and image generation, and speech recognition. You can also use these instances to deploy demanding HPC applications at scale for pharmaceutical discovery. -
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Amazon SageMaker Pipelines
Amazon
Using Amazon SageMaker Pipelines, you can create ML workflows with an easy-to-use Python SDK, and then visualize and manage your workflow using Amazon SageMaker Studio. You can be more efficient and scale faster by storing and reusing the workflow steps you create in SageMaker Pipelines. You can also get started quickly with built-in templates to build, test, register, and deploy models so you can get started with CI/CD in your ML environment quickly. Many customers have hundreds of workflows, each with a different version of the same model. With the SageMaker Pipelines model registry, you can track these versions in a central repository where it is easy to choose the right model for deployment based on your business requirements. You can use SageMaker Studio to browse and discover models, or you can access them through the SageMaker Python SDK. -
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Yandex Cloud DNS
Yandex
Cloud DNS is based on Yandex Cloud’s reliable, high-performance architecture. It optimizes DNS query routing, providing stable access with minimal delay and rapid record propogation. Create public and internal DNS zones. Configure development, testing, and debugging environments, accessible only from the user’s virtual networks (VPC), using internal zones within a single project. Cloud DNS is available in the Yandex Cloud console, API, CLI, and Terraform interfaces. Set convenient domain names for sites and apps in the cloud without maintaining your own DNS servers or additional software installations. Domain zones store resource records that link the IP addresses of your virtual machines with their domain names. -
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Stack
Lost Tech
A must-have tool for large screens or multiple monitors. Stack is a productivity tool, that helps move windows around. Divide screens into arbitrary zones. Quickly move windows between zones. Customizable hotkeys and mouse drag. Group windows into tabbed areas. Stack vertically or horizontally within a zone. High DPI support and highly customizable layout, based on XAML. With v2.1 we are adding an ability to create and share custom widgets, that can be put on Stack layouts. The initial release of Stack v2.1 contains a single sample widget, and a small amount of composable tools, that enable the creation of more complicated data-rich widgets inline inside your layouts. Stack can now automatically assign most newly opened windows to their closest zone. You can now change which mouse button is used to drag windows between zones. We've added an ability to assign hotkey combinations to move the active window to the zone.Starting Price: $5.86 one-time payment -
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Riak CS
Riak
Riak CS is a highly available, scalable, easy-to-operate object storage software solution that’s optimized for holding videos, images, and other files. It provides simple but powerful storage for large objects built for private, public, and hybrid clouds. Whether you need large object storage for applications or you’re building a service offering, Riak CS provides a cost-effective solution that’s highly available, scalable and simple to use for storing all your images, text, video, documents, database backups and software binaries. Optimized for public, private or hybrid clouds, Riak CS is Amazon S3- and OpenStack Swift-compatible, has robust APIs, and scales easily to handle petabytes of data using commodity software that provides near-linear performance increases as capacity is added.Starting Price: $0 -
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Google Cloud GPUs
Google
Speed up compute jobs like machine learning and HPC. A wide selection of GPUs to match a range of performance and price points. Flexible pricing and machine customizations to optimize your workload. High-performance GPUs on Google Cloud for machine learning, scientific computing, and 3D visualization. NVIDIA K80, P100, P4, T4, V100, and A100 GPUs provide a range of compute options to cover your workload for each cost and performance need. Optimally balance the processor, memory, high-performance disk, and up to 8 GPUs per instance for your individual workload. All with the per-second billing, so you only pay only for what you need while you are using it. Run GPU workloads on Google Cloud Platform where you have access to industry-leading storage, networking, and data analytics technologies. Compute Engine provides GPUs that you can add to your virtual machine instances. Learn what you can do with GPUs and what types of GPU hardware are available.Starting Price: $0.160 per GPU -
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ArtZone
NiftyZone
An exclusive community for AI art and AI artists. ArtZone's vision is to popularize AI art and allow AI creators to showcase and monetize their art work! This is a simple AI image generation service to let you try out creating images by giving the AI a text prompt. Your image generation request will be processed faster if you create an account and login on ArtZone.Starting Price: Free -
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AWS Data Exchange
Amazon
AWS Data Exchange is a service that simplifies the process of finding, subscribing to, and using third-party data in the cloud. It offers a vast catalog of over 3,500 data sets from more than 300 data providers, including data files, tables, and APIs. The platform enables users to streamline data procurement and governance by consolidating all third-party data subscriptions in one place, with the ability to migrate existing subscriptions at no additional cost. AWS Data Exchange ensures secure and compliant data usage, integrating with AWS Identity and Access Management (IAM) and providing data encryption at rest and in transit. Users can seamlessly integrate subscribed data into their AWS environment, facilitating analytics and machine learning applications. The service supports various data delivery methods, including direct access to data stored in Amazon S3 buckets of data providers, allowing subscribers to use these files with AWS services like Amazon Athena and Amazon EMR. -
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Amazon SageMaker Model Training reduces the time and cost to train and tune machine learning (ML) models at scale without the need to manage infrastructure. You can take advantage of the highest-performing ML compute infrastructure currently available, and SageMaker can automatically scale infrastructure up or down, from one to thousands of GPUs. Since you pay only for what you use, you can manage your training costs more effectively. To train deep learning models faster, SageMaker distributed training libraries can automatically split large models and training datasets across AWS GPU instances, or you can use third-party libraries, such as DeepSpeed, Horovod, or Megatron. Efficiently manage system resources with a wide choice of GPUs and CPUs including P4d.24xl instances, which are the fastest training instances currently available in the cloud. Specify the location of data, indicate the type of SageMaker instances, and get started with a single click.
