Alternatives to AWS IoT Core
Compare AWS IoT Core alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to AWS IoT Core in 2026. Compare features, ratings, user reviews, pricing, and more from AWS IoT Core competitors and alternatives in order to make an informed decision for your business.
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HiveMQ
HiveMQ
HiveMQ is the Industrial AI Platform helping enterprises move from connected devices to intelligent operations. Built on the MQTT standard and a distributed edge-to-cloud architecture, HiveMQ connects and governs industrial data in real time, enabling organizations to act with intelligence. With proven reliability, scalability, and interoperability, HiveMQ provides the foundation industrial companies need to operationalize AI, powering the next generation of intelligent industry. Global leaders including Audi, BMW, Eli Lilly, Liberty Global, Mercedes-Benz, and Siemens trust HiveMQ to run their most mission-critical operations. -
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Golioth
Golioth
Connect and secure devices, send sensor data to the web, update firmware over the air, and scale your fleet with our instant IoT cloud. Select hardware and connectivity that meets your needs from your preferred vendor. Use the open source Golioth Device SDK to integrate with your firmware securely. Once connected you can instantly monitor, manage, and update your devices from the Golioth console. We’re a group of industry-leading hardware, firmware, and cloud engineers. We understand the struggle to connect “sand” to the internet, so we built a better way to do just that. We’re built for the embedded developer workflow. Use the tools you’re already familiar with to build robust and reliable devices, faster. Choose from hundreds of hardware options and a variety of connectivity types, protocols, and multiple embedded RTOS providers. Golioth provides a single control plane for all your devices, whether you’re exploring an idea, or improving an existing project.Starting Price: $0 -
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Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.
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EMQX
EMQ Technologies
EMQX is the world's most scalable and reliable MQTT messaging platform designed by EMQ. It supports 100M concurrent IoT device connections per cluster while maintaining extremely high throughput and sub-millisecond latency. EMQX boasts more than 20,000 global users from over 50 countries, connecting more than 100M IoT devices worldwide, and is trusted by over 300 customers in mission-critical IoT scenarios, including well-known brands like HPE, VMware, Verifone, SAIC Volkswagen, and Ericsson. Our edge-to-cloud IoT connectivity solutions are flexible to meet the demands of various industries towards digital transformation, including connected vehicles, Industrial IoT, oil & gas, carrier, finance, smart energy, and smart cities.Starting Price: $0.18 per hour -
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Amazon EventBridge
Amazon
Amazon EventBridge is a serverless event bus that makes it easy to connect applications together using data from your own applications, integrated Software-as-a-Service (SaaS) applications, and AWS services. EventBridge delivers a stream of real-time data from event sources, such as Zendesk, Datadog, or Pagerduty, and routes that data to targets like AWS Lambda. You can set up routing rules to determine where to send your data to build application architectures that react in real time to all of your data sources. EventBridge makes it easy to build event-driven applications because it takes care of event ingestion and delivery, security, authorization, and error handling for you. As your applications become more interconnected through events, you need to spend more effort to find events and understand their structure in order to write code to react to those events. -
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Open Automation Software
Open Automation Software
Liberate your Industry 4.0 data with Open Automation Software IIoT platform for Windows and Linux. OAS is truly an unlimited IoT Gateway for Windows, Linux, Raspberry Pi 4, Windows IoT Core, and Docker deployments. Create HMI visualization for web, WPF, and WinForm C# and VB .NET applications. Log data and alarms to SQL Server, Oracle, MS Access, MySQL, Azure SQL, PostgreSQL, Cassandra, MongoDB, MariaDB, SQLite, InfluxDB, and CSV files. MQTT Broker and Client interface along with cloud connectivity to Azure IoT and AWS IoT Gateway. Read and write data from remote Excel Workbooks. Alarm notification to email, SMS text, and voice messaging. .NET and REST API programmatic access. Allen Bradley ControlLogix, CompactLogix, GuardLogix, Micro800, MicroLogix, SLC 500, and PLC-5. Siemens S7-200, S7-300, S7-400, S7-1200, and S7-1500. Modbus TCP, Modbus RTU, and Modbus ASCII for Master and Slave communications. OPTO-22, MTConnect, and OPC UA, OPC DA.Starting Price: $495 one-time payment -
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Amazon EKS
Amazon
Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications. -
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Amazon DynamoDB
Amazon
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multi-region, Multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. Many of the world's fastest-growing businesses such as Lyft, Airbnb, and Redfin as well as enterprises such as Samsung, Toyota, and Capital One depend on the scale and performance of DynamoDB to support their mission-critical workloads. Focus on driving innovation with no operational overhead. Build out your game platform with player data, session history, and leaderboards for millions of concurrent users. Use design patterns for deploying shopping carts, workflow engines, inventory tracking, and customer profiles. DynamoDB supports high-traffic, extreme-scaled events. -
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Amazon Redshift
Amazon
Amazon Redshift is a cloud-based data warehouse solution from AWS designed to deliver high-performance analytics and support modern AI-driven workloads. The platform enables organizations to analyze large volumes of structured and unstructured data across data warehouses, data lakes, and third-party sources using SQL. Redshift is built for scalability and cost efficiency, offering improved throughput and price-performance with AWS Graviton-powered RG instances and Redshift Serverless options. The solution also supports near real-time analytics through zero-ETL integrations that connect operational databases, streaming services, and enterprise applications without complex data pipelines. Amazon Redshift integrates with Amazon SageMaker and Amazon Bedrock to support advanced machine learning, analytics, and generative AI use cases.Starting Price: $0.543 per hour -
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AWS Auto Scaling
Amazon
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time. -
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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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AWS IoT SiteWise
Amazon
AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize, and monitor data from industrial equipment at scale to help you make better, data-driven decisions. You can use AWS IoT SiteWise to monitor operations across facilities, quickly compute common industrial performance metrics, and create applications that analyze industrial equipment data to prevent costly equipment issues and reduce gaps in production. This allows you to collect data consistently across devices, identify issues with remote monitoring more quickly, and improve multi-site processes with centralized data. Today, getting performance metrics from industrial equipment is challenging because data is often locked into proprietary on-premises data stores and typically requires specialized expertise to retrieve and place in a format that is useful for analysis. AWS IoT SiteWise simplifies this process by providing software running on a gateway that resides in your facilities.Starting Price: $0.00041667 -
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Azure IoT Hub
Microsoft
Managed service for bidirectional communication between IoT devices and Azure. Enable highly secure and reliable communication between your Internet of Things (IoT) application and the devices it manages. Azure IoT Hub provides a cloud-hosted solution back end to connect virtually any device. Extend your solution from the cloud to the edge with per-device authentication, built-in device management, and scaled provisioning. Use device-to-cloud telemetry data to understand the state of your devices and define message routes to other Azure services—without writing any code. In cloud-to-device messages, reliably send commands and notifications to your connected devices and track message delivery with acknowledgement receipts. Automatically resend device messages as needed to accommodate intermittent connectivity. Azure IoT Central: Proof of concept isn’t your endgame. We’ll help you build industry-leading solutions with a hosted IoT application platform.Starting Price: $10 per IoT unit per month -
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Google Cloud IoT Core
Google
Cloud IoT Core is a fully managed service that allows you to easily and securely connect, manage, and ingest data from millions of globally dispersed devices. Cloud IoT Core, in combination with other services on Cloud IoT platform, provides a complete solution for collecting, processing, analyzing, and visualizing IoT data in real time to support improved operational efficiency. Cloud IoT Core, using Cloud Pub/Sub underneath, can aggregate dispersed device data into a single global system that integrates seamlessly with Google Cloud data analytics services. Use your IoT data stream for advanced analytics, visualizations, machine learning, and more to help improve operational efficiency, anticipate problems, and build rich models that better describe and optimize your business. Securely connect a few or millions of your globally dispersed devices through protocol endpoints that use automatic load balancing and horizontal scaling to ensure smooth data ingestion under any condition.Starting Price: $0.00045 per MB -
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Amazon MQ
Amazon
Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Message brokers allow different software systems–often using different programming languages, and on different platforms–to communicate and exchange information. Amazon MQ reduces your operational load by managing the provisioning, setup, and maintenance of ActiveMQ, a popular open-source message broker. Connecting your current applications to Amazon MQ is easy because it uses industry-standard APIs and protocols for messaging, including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. Using standards means that in most cases, there’s no need to rewrite any messaging code when you migrate to AWS. With a few clicks in the Amazon MQ Console, Amazon MQ provisions your broker with support for version upgrades, so you can always use the latest version that Amazon MQ supports. Once you configure your broker, your applications can produce and consume messages. -
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Amazon Simple Notification Service (SNS) is a fully managed messaging service for both system-to-system and app-to-person (A2P) communication. It enables you to communicate between systems through publish/subscribe (pub/sub) patterns that enable messaging between decoupled microservice applications or to communicate directly to users via SMS, mobile push and email. The system-to-system pub/sub functionality provides topics for high-throughput, push-based, many-to-many messaging. Using Amazon SNS topics, your publisher systems can fanout messages to a large number of subscriber systems or customer endpoints including Amazon SQS queues, AWS Lambda functions and HTTP/S, for parallel processing. The A2P messaging functionality enables you to send messages to users at scale using either a pub/sub pattern or direct-publish messages using a single API.
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RabbitMQ
RabbitMQ
RabbitMQ is lightweight and easy to deploy on-premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements. With tens of thousands of users, RabbitMQ is one of the most popular open-source message brokers. From T-Mobile to Runtastic, RabbitMQ is used worldwide at small startups and large enterprises. RabbitMQ is lightweight and easy to deploy on-premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements. RabbitMQ runs on many operating systems and cloud environments and provides a wide range of developer tools for most popular languages. Deploy with Kubernetes, BOSH, Chef, Docker and Puppet. Develop cross-language messaging with favorite programming languages such as Java, .NET, PHP, Python, JavaScript, Ruby, Go, etc.Starting Price: Free -
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Cloud BI
Perfsys
cloud-based applications for your business. Cloud Business Intelligence for marketing, sales, finance and operations 100% Amazon Web Services solutions. No servers needed, no prepayments. Collect AWS Lambda workers. AWS Scheduled Events. Tokens management. Transform. DynamoDB as zero-like super reliable no-SQL storage. Store Raw data and trigger Transformations. AWS Lambda Serverless ETL logic. Store. Triggered by DynamoDB Streams AWS S3 + CSV files as lightweight cheap objects storage. Integrates great with big data HDFS distributed storage. Explore. AWS Athena is a Hadoop Hive based open source solutions from big data ecosystem. AWS S3 as native datasource to read CSV files as a datasource files SQL-like queries. Present AWS Quicksights for BI dashboards. Use Athena + S3 a datasource. Web and Mobile Quicksight clients. Quicksight allow to do drill-down and filters + many more. -
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IBM MQ
IBM
Massive amounts of data move as messages between applications, systems and services at any given time. If an application isn’t ready or if there’s a service interruption, messages and transactions can be lost or duplicated, costing businesses time and money to make things right. IBM has expertly refined IBM MQ over 25 years on the market. With MQ, if a message can’t be delivered immediately, it’s secured in a queue, where it waits until delivery is assured. Where competitors may deliver messages twice or not at all, MQ moves data, including file data, once — and once only. Never lose a message with MQ. IBM MQ is available as software to run in public or private clouds, in containers or on your mainframe. IBM also offers an IBM-managed cloud service (IBM MQ on Cloud) hosted on IBM Cloud or Amazon, and even as a purpose-built Appliance (IBM MQ Appliance) to simplify deployment and maintenance. -
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PubSub+ Platform
Solace
Solace PubSub+ Platform helps enterprises design, deploy and manage event-driven systems across hybrid and multi-cloud and IoT environments so they can be more event-driven and operate in real-time. The PubSub+ Platform includes the powerful PubSub+ Event Brokers, event management capabilities with PubSub+ Event Portal, as well as monitoring and integration capabilities all available via a single cloud console. PubSub+ allows easy creation of an event mesh, an interconnected network of event brokers, allowing for seamless and dynamic data movement across highly distributed network environments. PubSub+ Event Brokers can be deployed as fully managed cloud services, self-managed software in private cloud or on-premises environments, or as turnkey hardware appliances for unparalleled performance and low TCO. PubSub+ Event Portal is a complimentary toolset for design and governance of event-driven systems including both Solace and Kafka-based event broker environments. -
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Google Cloud Pub/Sub
Google
Google Cloud Pub/Sub. Scalable, in-order message delivery with pull and push modes. Auto-scaling and auto-provisioning with support from zero to hundreds of GB/second. Independent quota and billing for publishers and subscribers. Global message routing to simplify multi-region systems. High availability made simple. Synchronous, cross-zone message replication and per-message receipt tracking ensure reliable delivery at any scale. No planning, auto-everything. Auto-scaling and auto-provisioning with no partitions eliminate planning and ensures workloads are production-ready from day one. Advanced features, built in. Filtering, dead-letter delivery, and exponential backoff without sacrificing scale help simplify your applications. A fast, reliable way to land small records at any volume, an entry point for real-time and batch pipelines feeding BigQuery, data lakes and operational databases. Use it with ETL/ELT pipelines in Dataflow. -
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Amazon MSK
Amazon
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Apache Kafka clusters are challenging to setup, scale, and manage in production. When you run Apache Kafka on your own, you need to provision servers, configure Apache Kafka manually, replace servers when they fail, orchestrate server patches and upgrades, architect the cluster for high availability, ensure data is durably stored and secured, setup monitoring and alarms, and carefully plan scaling events to support load changes.Starting Price: $0.0543 per hour -
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AWS HealthLake
Amazon
Extract meaning from unstructured data with integrated Amazon Comprehend Medical for easy search and querying. Make predictions on health data using Amazon Athena queries, Amazon SageMaker ML models, and Amazon QuickSight analytics. Support interoperable standards such as the Fast Healthcare Interoperability Resources (FHIR). Run medical imaging applications in the cloud to increase scale and reduce costs. AWS HealthLake is a HIPAA-eligible service offering healthcare and life sciences companies a chronological view of individual or patient population health data for query and analytics at scale. Analyze population health trends, predict outcomes, and manage costs with advanced analytics tools and ML models. Identify opportunities to close gaps in care and deliver targeted interventions with a longitudinal view of patient journeys. Apply advanced analytics and ML to newly structured data to optimize appointment scheduling and reduce unnecessary procedures. -
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Amazon SageMaker Debugger
Amazon
Optimize ML models by capturing training metrics in real-time and sending alerts when anomalies are detected. Automatically stop training processes when the desired accuracy is achieved to reduce the time and cost of training ML models. Automatically profile and monitor system resource utilization and send alerts when resource bottlenecks are identified to continuously improve resource utilization. Amazon SageMaker Debugger can reduce troubleshooting during training from days to minutes by automatically detecting and alerting you to remediate common training errors such as gradient values becoming too large or too small. Alerts can be viewed in Amazon SageMaker Studio or configured through Amazon CloudWatch. Additionally, the SageMaker Debugger SDK enables you to automatically detect new classes of model-specific errors such as data sampling, hyperparameter values, and out-of-bound values. -
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Eclipse Mosquitto
Eclipse Foundation
Eclipse Mosquitto is an open source (EPL/EDL licensed) message broker that implements the MQTT protocol versions 5.0, 3.1.1 and 3.1. Mosquitto is lightweight and is suitable for use on all devices from low power single board computers to full servers. The MQTT protocol provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for Internet of Things messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers. The Mosquitto project also provides a C library for implementing MQTT clients, and the very popular mosquitto_pub and mosquitto_sub command line MQTT clients.Starting Price: Free -
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Alexa
Amazon
Alexa is Amazon’s cloud-based voice service available on hundreds of millions of devices from Amazon and third-party device manufacturers. With Alexa, you can build natural voice experiences that offer customers a more intuitive way to interact with the technology they use every day. We offer a collection of tools, APIs, reference solutions, and documentation to make it easier to build for Alexa. Start building for voice today by creating Alexa skills, connecting Alexa to devices, or integrating Alexa directly into your products. You can engage our Alexa Solution Provider network for a range of services including strategy, pre-tested reference architectures and hardware, hardware and software development, manufacturing, and go-to-market support. -
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Red Hat AMQ
Red Hat
Red Hat AMQ is a flexible messaging platform that delivers information reliably, enabling real-time integration and connecting the Internet of Things (IoT). Based on open source communities like Apache ActiveMQ and Apache Kafka, it supports various messaging patterns to integrate applications, endpoints, and devices quickly and efficiently, enhancing enterprise responsiveness and agility. AMQ facilitates data sharing between microservices and other applications with high throughput and low latency. AMQ supports connectivity from client programs written in multiple languages. It defines an open-wire protocol for messaging interoperability, allowing enterprises to deploy various distributed messaging solutions to meet evolving business requirements. Backed by Red Hat's award-winning support and services, AMQ has a track record of supporting mission-critical applications. -
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Apache Kafka
The Apache Software Foundation
Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages. -
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Amazon Music
Amazon
Listen to Amazon Music on the desktop app or in your web browser. Download music for offline listening. With any Echo device, it's easy to play Amazon Music - just ask. Explore Echo devices or use Alexa on your mobile device. Access Amazon Music using the Amazon Fire TV and Fire TV Stick to listen to music you've previously added to your library, and albums and songs that you’ve purchased. Amazon Fire tablets come with Amazon Music. There's nothing to install - just tap 'Music' from the home screen to play, download or shop music. Listen to music on the road with a variety of listening options from Alexa dashboard integration, to Alexa built-in devices. Explore Amazon Music on-the-go. Stream Amazon Music on your favorite home entertainment devices, including brands like Bose, Sonos, Roku, Xfinity and more. -
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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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Thingstream
u-blox
Thingstream is a cloud-based delivery platform and administration interface for enterprise IoT services. The Thingstream platform comprises IoT connectivity, security, enterprise-grade MQTT broker, visual programming, simple enterprise integration, and support for u‑blox global positioning hardware. Bearer-agnostic connectivity and management for cellular, LoRaWAN, and IP-based IoT devices. Safeguarding IoT data for enterprises by enabling devices to communicate sensitive data securely. Improving accuracy and providing increased location reliability and enhanced GNSS positioning indoors. Connect everything - Easily connect and manage IoT devices, APIs and online services. Data Flow Manager - Decision making and data management at the network edge with a simple drag-and-drop programming interface. Simple enterprise integration - Ready-made connectors for cloud-based services including Amazon Web Services, Microsoft Azure, TIBCO eFTL and more. -
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Amazon Music for Podcasters
Amazon
Amazon Music for Podcasters offers a platform for podcasters to distribute, monetize, and grow their podcasts on Amazon’s streaming service. It allows creators to easily upload their episodes and gain access to a global audience through Amazon Music and Alexa. The platform provides powerful tools to track listener engagement, manage monetization options, and expand reach. Podcasters can also leverage Amazon’s vast ecosystem, including integrations with devices like Echo, to connect with listeners in unique ways. -
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Ably
Ably
Ably is the definitive realtime experience platform. We power more WebSocket connections than any other pub/sub platform, serving over a billion devices monthly. Businesses like HubSpot, NASCAR and Webflow trust us to power their critical applications - reliably, securely and at serious scale. Ably’s products place composable realtime in the hands of developers. Simple APIs and SDKs for every tech stack, enable the creation of a host of live experiences - including chat, collaboration, notifications, broadcast and fan engagement. All powered by our scalable infrastructure.Starting Price: $49.99/month -
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Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands. Use Amazon SQS to transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be available. SQS lets you decouple application components so that they run and fail independently, increasing the overall fault tolerance of the system.
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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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Amazon Managed Grafana
Amazon
Amazon Managed Grafana is a fully managed service that simplifies the process of visualizing and analyzing operational data at scale. It allows users to create workspaces, logically isolated Grafana servers, that can be provisioned, set up, scaled and maintained automatically. These workspaces enable the visualization, analysis, and correlation of operational data across multiple sources, including AWS services like Amazon CloudWatch, AWS X-Ray, and Amazon Managed Service for Prometheus, as well as third-party data sources. It integrates seamlessly with AWS security services, ensuring compliance with corporate security requirements. Additionally, Amazon Managed Grafana supports migration from self-managed Grafana environments, allowing users to retain existing dashboards and configurations. It also offers collaborative features such as real-time dashboard viewing and editing, version tracking, and sharing capabilities, enhancing team productivity. -
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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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Astra Streaming
DataStax
Responsive applications keep users engaged and developers inspired. Rise to meet these ever-increasing expectations with the DataStax Astra Streaming service platform. DataStax Astra Streaming is a cloud-native messaging and event streaming platform powered by Apache Pulsar. Astra Streaming allows you to build streaming applications on top of an elastically scalable, multi-cloud messaging and event streaming platform. Astra Streaming is powered by Apache Pulsar, the next-generation event streaming platform which provides a unified solution for streaming, queuing, pub/sub, and stream processing. Astra Streaming is a natural complement to Astra DB. Using Astra Streaming, existing Astra DB users can easily build real-time data pipelines into and out of their Astra DB instances. With Astra Streaming, avoid vendor lock-in and deploy on any of the major public clouds (AWS, GCP, Azure) compatible with open-source Apache Pulsar. -
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StreamNative
StreamNative
StreamNative redefines streaming infrastructure by seamlessly integrating Kafka, MQ, and other protocols into a single, unified platform, providing unparalleled flexibility and efficiency for modern data processing needs. StreamNative offers a unified solution that adapts to the diverse requirements of streaming and messaging in a microservices-driven environment. By providing a comprehensive and intelligent approach to messaging and streaming, StreamNative empowers organizations to navigate the complexities and scalability of the modern data ecosystem with efficiency and agility. Apache Pulsar’s unique architecture decouples the message serving layer from the message storage layer to deliver a mature cloud-native data-streaming platform. Scalable and elastic to adapt to rapidly changing event traffic and business needs. Scale-up to millions of topics with architecture that decouples computing and storage.Starting Price: $1,000 per month -
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CData Connect
CData Software
CData Connect Your organization depends on real-time business and operational data to deliver actionable insights and drive growth. CData Connect is the missing link in your data value chain. CData Connect enables direct connectivity from any application that supports standard database connectivity, including popular cloud BI and ETL applications, such as: - Amazon Glue - Amazon QuickSight - Domo - Google Apps Script - Google Cloud Data Flow - Google Cloud Data Studio - Looker - Microsoft Power Apps - Microsoft Power Query - MicroStrategy Cloud - Qlik Sense Cloud - SAP Analytics Cloud - SAS Cloud - SAS Viya - Tableau Online ... and many more! CData Connect acts like a data gateway, translating SQL, and securely proxying API requests. -
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Fire OS
Amazon
Fire OS is the operating system that runs Amazon's Fire TV and tablets. Fire OS is a fork of Android, so if your app runs on Android, it will most likely run on Amazon's Fire devices too. You can quickly check your app's compatibility with Amazon through the App Testing Service. As a developer, you might not have to adjust your Android code at all to publish your app on Amazon's platform. Most Fire devices receive over-the-air updates to get Fire OS updates automatically. Not every Fire device receives a push of the same Fire OS version at the same time. The updates often roll out to different devices at different times. At the core, both Fire OS and Android share the same foundation. The main way Fire OS differs from Android is in the services. Instead of using Google's services (for activities such as browsing, location, messaging, payments, and so on), Fire OS might use Amazon's services. -
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IBM® Messages for RabbitMQ on IBM Cloud® supports multiple messaging protocols as a broker. It lets you route, track and queue messages with customizable persistence levels, delivery settings and publish confirmations. Get to global scale with integrated, infrastructure-as-code tools, such as IBM Cloud Schematics with Terraform and Red Hat® Ansible® support at no additional charge. IBM® Key Protect lets you can bring your own encryption key. Each deployment supports private networking, in-database auditing and more. Messages for RabbitMQ allows you to scale disk and RAM independently to fit your requirements. Grow with elasticity just an API call away. The service is compatible with RabbitMQ APIs, data formats and clients. You can use Messages for RabbitMQ as a drop-in replacement for RabbitMQ. The standard configuration includes three data members configured for high availability. Deployments use multiple availability zones.
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Anypoint MQ
MuleSoft
With Anypoint MQ, perform advanced asynchronous messaging — such as queueing and pub/sub — with fully hosted and managed cloud message queues and exchanges. As a service of Anypoint Platform™, Anypoint MQ supports environments, business groups, and role-based access control (RBAC) with enterprise-grade functionality. -
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Amazon SageMaker Canvas
Amazon
Amazon SageMaker Canvas expands access to machine learning (ML) by providing business analysts with a visual interface that allows them to generate accurate ML predictions on their own, without requiring any ML experience or having to write a single line of code. Visual point-and-click interface to connect, prepare, analyze, and explore data for building ML models and generating accurate predictions. Automatically build ML models to run what-if analysis and generate single or bulk predictions with a few clicks. Boost collaboration between business analysts and data scientists by sharing, reviewing, and updating ML models across tools. Import ML models from anywhere and generate predictions directly in Amazon SageMaker Canvas. With Amazon SageMaker Canvas, you can import data from disparate sources, select values you want to predict, automatically prepare and explore data, and quickly and more easily build ML models. You can then analyze models and generate accurate predictions. -
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Alexa+
Amazon
Alexa+ is Amazon’s next-generation conversational assistant designed to deliver deeper, more natural interactions across devices and the web. It allows users to chat with Alexa+ directly from their browser, continuing conversations seamlessly across Echo devices, Fire TV, and the Alexa app. Alexa+ keeps context as you move between devices, so you can pick up where you left off without repeating requests. The experience focuses on all-in-one planning, helping users turn ideas into actionable steps like creating checklists, planning events, or researching trips. Alexa+ also enables discovery and action, answering questions and completing tasks such as scheduling or booking services. With natural conversation flow, users can pivot topics, interrupt requests, and speak freely without rigid commands. Alexa+ is available through Early Access and will be free for Prime members once the program ends.Starting Price: $19.99 per month -
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Amazon Kinesis
Amazon
Easily collect, process, and analyze video and data streams in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin. Amazon Kinesis enables you to ingest, buffer, and process streaming data in real-time, so you can derive insights in seconds or minutes instead of hours or days. -
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Amazon DynamoDB is designed for scale and performance. In most cases, the DynamoDB response times can be measured in single-digit milliseconds. However, there are certain use cases that require response times in microseconds. For these use cases, DynamoDB Accelerator (DAX) delivers fast response times for accessing eventually consistent data. DAX reduces operational and application complexity by providing a managed service that is API-compatible with DynamoDB. Therefore, it requires only minimal functional changes to use with an existing application. For read-heavy or bursty workloads, DAX provides increased throughput and potential operational cost savings by reducing the need to overprovision read capacity units. This is especially beneficial for applications that require repeated reads for individual keys.
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Azure Event Grid
Microsoft
Simplify your event-based apps with Event Grid, a single service for managing routing of all events from any source to any destination. Designed for high availability, consistent performance, and dynamic scale, Event Grid lets you focus on your app logic rather than infrastructure. Eliminate polling—and the associated cost and latency. With Event Grid, event publishers are decoupled from event subscribers using a pub/sub model and simple HTTP-based event delivery, allowing you to build scalable serverless applications, microservices, and distributed systems. Gain massive scale, dynamically, while getting near-real-time notifications for changes you’re interested in. Build better, more reliable applications through reactive programming, capitalizing on guaranteed event delivery and the high availability of the cloud. Develop richer application scenarios by connecting multiple possible sources and destinations of events. -
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AWS Backup
Amazon
AWS Backup is a fully managed backup service that makes it easy to centralize and automate the backup of data across AWS services. Using AWS Backup, you can centrally configure backup policies and monitor backup activity for AWS resources, such as Amazon EBS volumes, Amazon EC2 instances, Amazon RDS databases, Amazon DynamoDB tables, Amazon EFS file systems, and AWS Storage Gateway volumes. AWS Backup automates and consolidates backup tasks previously performed service-by-service, removing the need to create custom scripts and manual processes. With just a few clicks in the AWS Backup console, you can create backup policies that automate backup schedules and retention management. AWS Backup provides a fully managed, policy-based backup solution, simplifying your backup management, enabling you to meet your business and regulatory backup compliance requirements. -
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AWS Deep Learning Containers
Amazon
Deep Learning Containers are Docker images that are preinstalled and tested with the latest versions of popular deep learning frameworks. Deep Learning Containers lets you deploy custom ML environments quickly without building and optimizing your environments from scratch. Deploy deep learning environments in minutes using prepackaged and fully tested Docker images. Build custom ML workflows for training, validation, and deployment through integration with Amazon SageMaker, Amazon EKS, and Amazon ECS.
