Alternatives to SiteWhere

Compare SiteWhere alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to SiteWhere in 2026. Compare features, ratings, user reviews, pricing, and more from SiteWhere competitors and alternatives in order to make an informed decision for your business.

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    Mainflux

    Mainflux

    Mainflux

    Full stack capabilities developed as microservices containerized by Docker and orchestrated with Kubernetes. Multi-protocol support and hardware agnostic. Connect any device and any 3rd-party application. Secured connections via TLS and DTLS. Mutual TLS authentication based on X.509 certificates. Mainflux software infrastructure stack is composed of all components and microservices necessary for IoT solutions, projects or products. The IoT Platform will facilitate the interoperability of the with existing enterprise applications and other IoT solutions. Bidirectional communication (interaction) with very large number of devices and gateways, using different open protocols and data formats. Normalization of the messages for easy integration with the rest of the infrastructure.
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    Red Hat OpenShift Streams
    Red Hat® OpenShift® Streams for Apache Kafka is a managed cloud service that provides a streamlined developer experience for building, deploying, and scaling new cloud-native applications or modernizing existing systems. Red Hat OpenShift Streams for Apache Kafka makes it easy to create, discover, and connect to real-time data streams no matter where they are deployed. Streams are a key component for delivering event-driven and data analytics applications. The combination of seamless operations across distributed microservices, large data transfer volumes, and managed operations allows teams to focus on team strengths, speed up time to value, and lower operational costs. OpenShift Streams for Apache Kafka includes a Kafka ecosystem and is part of a family of cloud services—and the Red Hat OpenShift product family—which helps you build a wide range of data-driven solutions.
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    Kaa

    Kaa

    KaaIoT Technologies

    With IoT microservices architecture baked by Kubernetes, you can scale infinitely, scale only what is needed, all with extreme performance and fault-tolerance. Stream data from your IoT devices to any data analytics system via pre-integrated Kafka channel. Change device behavior based on processing results. The company behind the platform has over 25 years of experience in IoT, Telecom and Big Data. We used all our profound knowledge to create the best IoT Platform that can serve big enterprises as well as small startups. Your data is encrypted in transit and at rest. Out-of-box authentication & authorization for users with open OAuth2 / UMA interface. Connect and manage IoT devices via the cloud using graphical UI or REST API. Collect and visualize telemetry using a built-in dashboard or 3rd party tools like Grafana.
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    Confluent

    Confluent

    Confluent

    Infinite retention for Apache Kafka® with Confluent. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming enables you to innovate and win - by being both real-time and highly-scalable. Ever wonder how your rideshare app analyzes massive amounts of data from multiple sources to calculate real-time ETA? Ever wonder how your credit card company analyzes millions of credit card transactions across the globe and sends fraud notifications in real-time? The answer is event streaming. Move to microservices. Enable your hybrid strategy through a persistent bridge to cloud. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. The list is endless.
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    Amazon MSK
    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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    Conduktor

    Conduktor

    Conduktor

    We created Conduktor, the all-in-one friendly interface to work with the Apache Kafka ecosystem. Develop and manage Apache Kafka with confidence. With Conduktor DevTools, the all-in-one Apache Kafka desktop client. Develop and manage Apache Kafka with confidence, and save time for your entire team. Apache Kafka is hard to learn and to use. Made by Kafka lovers, Conduktor best-in-class user experience is loved by developers. Conduktor offers more than just an interface over Apache Kafka. It provides you and your teams the control of your whole data pipeline, thanks to our integration with most technologies around Apache Kafka. Provide you and your teams the most complete tool on top of Apache Kafka.
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    Azure Event Hubs
    Event Hubs is a fully managed, real-time data ingestion service that’s simple, trusted, and scalable. Stream millions of events per second from any source to build dynamic data pipelines and immediately respond to business challenges. Keep processing data during emergencies using the geo-disaster recovery and geo-replication features. Integrate seamlessly with other Azure services to unlock valuable insights. Allow existing Apache Kafka clients and applications to talk to Event Hubs without any code changes—you get a managed Kafka experience without having to manage your own clusters. Experience real-time data ingestion and microbatching on the same stream. Focus on drawing insights from your data instead of managing infrastructure. Build real-time big data pipelines and respond to business challenges right away.
    Starting Price: $0.03 per hour
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    StreamNative

    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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    Aiven for Apache Kafka
    Apache Kafka as a fully managed service, with zero vendor lock-in and a full set of capabilities to build your streaming pipeline. Set up fully managed Kafka in less than 10 minutes — directly from our web console or programmatically via our API, CLI, Terraform provider or Kubernetes operator. Easily connect it to your existing tech stack with over 30 connectors, and feel confident in your setup with logs and metrics available out of the box via the service integrations. A fully managed distributed data streaming platform, deployable in the cloud of your choice. Ideal for event-driven applications, near-real-time data transfer and pipelines, stream analytics, and any other case where you need to move a lot of data between applications — and quickly. With Aiven’s hosted and managed-for-you Apache Kafka, you can set up clusters, deploy new nodes, migrate clouds, and upgrade existing versions — in a single mouse click — and monitor them through a simple dashboard.
    Starting Price: $200 per month
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    Google Cloud Managed Service for Kafka
    ​Google Cloud's Managed Service for Apache Kafka is a fully managed and scalable service that simplifies the deployment, management, and maintenance of Apache Kafka clusters. It automates operational tasks such as provisioning, patching, and scaling, allowing users to focus on building applications without the complexities of infrastructure management. It ensures high availability and reliability by replicating data across multiple zones, safeguarding against potential failures. It also offers seamless integration with other Google Cloud services, enabling users to create robust data processing pipelines. Security is a priority, with features like encryption at rest and in transit, identity, and access management, and network isolation to protect data. Google Cloud Managed Service for Kafka supports both public and private networking configurations, providing flexibility in connectivity options.
    Starting Price: $0.09 per hour
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    Airy Messenger
    From Conversational AI assistants to customer service experiences, own your own conversational platform with open-source Airy. Airy Core is an open source, fully-featured, production-ready conversational platform. With Airy you can process conversational data from a variety of sources. Since Airy's infrastructure is built around Apache Kafka, it can process a large amount of conversations and messages simultaneously and stream the relevant conversational data to wherever you need it. Connect anything from our free open-source live chat plugin to Facebook Messenger & Google's Business Messages to your Airy Core. This is all possible through an ingestion platform that heavily relies on Apache Kafka to process incoming webhook data from different sources. We make sense of the data and reshape it into source-independent contacts, conversations, and messages.
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    DeltaStream

    DeltaStream

    DeltaStream

    DeltaStream is a unified serverless stream processing platform that integrates with streaming storage services. Think about it as the compute layer on top of your streaming storage. It provides functionalities of streaming analytics(Stream processing) and streaming databases along with additional features to provide a complete platform to manage, process, secure and share streaming data. DeltaStream provides a SQL based interface where you can easily create stream processing applications such as streaming pipelines, materialized views, microservices and many more. It has a pluggable processing engine and currently uses Apache Flink as its primary stream processing engine. DeltaStream is more than just a query processing layer on top of Kafka or Kinesis. It brings relational database concepts to the data streaming world, including namespacing and role based access control enabling you to securely access, process and share your streaming data regardless of where they are stored.
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    Red Hat AMQ
    ​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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    Everyware Cloud
    Everyware Cloud (EC) is an IoT Integration Platform distributed and supported by Eurotech. Based on Eclipse Kapua, Everyware Cloud offers an open and modular IoT Cloud Platform based on a micro-services architecture. Everyware Cloud provides device management, diagnostics, provisioning, remote access of IoT gateways and devices and integration services for the telemetry data. Remotely access your devices to enable remote maintenance and to provide advanced assistance on issue investigation without field visits to installation site. Trust your remote devices leveraging enterprise-class security strategies built-in to the Everyware Cloud IoT Platform. Reduce integration costs by leveraging the standards based interfaces offered by Everyware IoT. Device connectivity leverages the ISO certified standard MQTT protocol and an open language independent data payload format.
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    kPow

    kPow

    Factor House

    We know how easy Apache Kafka® can be with the right tools. We built kPow to make the developer experience with Kafka simple and enjoyable, and to save businesses time and money while growing their Kafka expertise. kPow allows you to get to the heart of production issues in clicks, not hours. Search tens of thousands of messages a second with kPow’s powerful Data Inspect and kREPL functions. New to Kafka? kPow’s unique Kafka UI allows developers to quickly and easily understand core Kafka concepts and gotchas. Upskill new team members, and grow your internal Kafka expertise. kPow provides a suite of Kafka management and monitoring features in a single Docker Container or JAR file. Manage multiple clusters, schema registries, and connect installs with one instance.
    Starting Price: $2,650 per cluster per year
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    balenaCloud
    Comprehensive device deployment and management infrastructure, hosted by balena. Write your image, power up, and see your fully configured device appear in your application. Preload your image with your application code for even faster startup. Iterate at web speed with familiar developer tools. Build your application in the language and distribution of your choice. Develop locally to get fast feedback. Ship updates with a single command while your devices remain online and fully functional. Microservices architecture? We support multi-container applications. Benefit from full visibility into real-time device status and activity. Organize your fleet with tags and filters. Remotely configure and troubleshoot individual devices.
    Starting Price: $109 per month
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    Axual

    Axual

    Axual

    Axual is Kafka-as-a-Service for DevOps teams. Empower your team to unlock insights and drive decisions with our intuitive Kafka platform. Axual offers the ultimate solution for enterprises looking to seamlessly integrate data streaming into their core IT infrastructure. Our all-in-one Kafka platform is designed to eliminate the need for extensive technical knowledge or skills, and provides a ready-made solution that delivers all the benefits of event streaming without the hassle. The Axual Platform is a all-in-one solution, designed to help you simplify and enhance the deployment, management, and utilization of real-time data streaming with Apache Kafka. By providing an array of features that cater to the diverse needs of modern enterprises, the Axual Platform enables organizations to harness the full potential of data streaming while minimizing complexity and operational overhead.
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    Yandex Managed Service for Apache Kafka
    Focus on developing data stream processing applications and don’t waste time maintaining the infrastructure. Managed Service for Apache Kafka is responsible for managing Zookeeper brokers and clusters, configuring clusters, and updating their versions. Distribute your cluster brokers across different availability zones and set the replication factor to ensure the desired level of fault tolerance. The service analyzes the metrics and status of the cluster and automatically replaces it if one of the nodes fails. For each topic, you can set the replication factor, log cleanup policy, compression type, and maximum number of messages to make better use of computing, network, and disk resources. You can add brokers to your cluster with just a click of a button to improve its performance, or change the class of high-availability hosts without stopping them or losing any data.
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    WarpStream

    WarpStream

    WarpStream

    WarpStream is an Apache Kafka-compatible data streaming platform built directly on top of object storage, with no inter-AZ networking costs, no disks to manage, and infinitely scalable, all within your VPC. WarpStream is deployed as a stateless and auto-scaling agent binary in your VPC with no local disks to manage. Agents stream data directly to and from object storage with no buffering on local disks and no data tiering. Create new “virtual clusters” in our control plane instantly. Support different environments, teams, or projects without managing any dedicated infrastructure. WarpStream is protocol compatible with Apache Kafka, so you can keep using all your favorite tools and software. No need to rewrite your application or use a proprietary SDK. Just change the URL in your favorite Kafka client library and start streaming. Never again have to choose between reliability and your budget.
    Starting Price: $2,987 per month
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    Davra IoT Platform
    Davra IoT helps companies, fleet owners, OEMs, municipalities and others to define, build and rapidly bring industrial-grade IoT applications on a reliable, secure and scalable IoT platform. Get your IoT project to the market in less than 50 days. Experience an open system with integrations at its core. Reduce your IoT project cost by up to 80%. Get descriptive, diagnostic, predictive and prescriptive analytics data. Run our cloud-based streaming analytics, ML, NLP and AI algorithm at the edge of the network. Experience HTML5 dashboard visualization, advanced Geo-mapping, layout manager and much more. Get a complete developer suite with source control, versioning, full code editor and more. Provide an "asset-centric view" of IoT devices by attaching both static and dynamic attributes. Leverage a complete microservice-based design for infrastructure libraries and runtime engines.
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    Keen

    Keen

    Keen.io

    Keen is the fully managed event streaming platform. Built upon trusted Apache Kafka, we make it easier than ever for you to collect massive volumes of event data with our real-time data pipeline. Use Keen’s powerful REST API and SDKs to collect event data from anything connected to the internet. Our platform allows you to store your data securely decreasing your operational and delivery risk with Keen. With storage infrastructure powered by Apache Cassandra, data is totally secure through transfer through HTTPS and TLS, then stored with multi-layer AES encryption. Once data is securely stored, utilize our Access Keys to be able to present data in arbitrary ways without having to re-architect your security or data model. Or, take advantage of Role-based Access Control (RBAC), allowing for completely customizable permission tiers, down to specific data points or queries.
    Starting Price: $149 per month
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    Apache Kafka

    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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    Oracle Cloud Infrastructure Streaming
    Streaming service is a real-time, serverless, Apache Kafka-compatible event streaming platform for developers and data scientists. Streaming is tightly integrated with Oracle Cloud Infrastructure (OCI), Database, GoldenGate, and Integration Cloud. The service also provides out-of-the-box integrations for hundreds of third-party products across categories such as DevOps, databases, big data, and SaaS applications. Data engineers can easily set up and operate big data pipelines. Oracle handles all infrastructure and platform management for event streaming, including provisioning, scaling, and security patching. With the help of consumer groups, Streaming can provide state management for thousands of consumers. This helps developers easily build applications at scale.
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    Apache APISIX

    Apache APISIX

    Apache APISIX

    Apache APISIX provides rich traffic management features like Load Balancing, Dynamic Upstream, Canary Release, Circuit Breaking, Authentication, Observability, etc. Apache APISIX provides open source API Gateway to help you manage microservices, delivering the ultimate performance, security, and scalable platform for all your APIs and microservices. Apache APISIX is the first open-source API Gateway that includes a built-in low-code Dashboard, which offers a powerful and flexible UI for developers to use. The Apache APISIX Dashboard is designed to make it as easy as possible for users to operate Apache APISIX through a frontend interface. It’s open-source and ever evolving, feel free to contribute. The Apache APISIX dashboard is flexible to User demand, providing option to create custom modules through code matching your requirements, alongside the existing no-code toolchain.
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    Apache ServiceComb
    Open-source, full-stack microservice solution. With out-of-the-box, high performance, compatible with popular ecology, and multi-language support. Service contract guarantee based on OpenAPI. One-click scaffolding, out of the box, speeds up the building of microservice applications. The ecological extension supports multiple development languages such as Java/Golang/PHP/NodeJS. Apache ServiceComb is an open-source solution for microservices. It consists of multiple components that can be flexibly adapted to different scenarios through the combination of components. This guide can help you get started quickly with Apache ServiceComb, which is the best place to start trying for first-time users. To decouple the programming and communication models, so that a programming model can be combined with any communication models as needed. Application developers only need to focus on APIs during development and can flexibly switch communication models during deployment.
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    Qubitro

    Qubitro

    Qubitro

    Qubitro enables collaboration on device data and modern application development. There are no ingestion or extraction limits and they don't have an effect on usage. Qubitro supports popular data sources out-of-the-box and provides tools for real-time collaboration on your projects combined with scalable infrastructure. To build with Qubitro, you need to create a project that groups data sources and other platform features. Amplify your startup's solution through events and marketing initiatives.
    Starting Price: $2 per device per month
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    Samza

    Samza

    Apache Software Foundation

    Samza allows you to build stateful applications that process data in real-time from multiple sources including Apache Kafka. Battle-tested at scale, it supports flexible deployment options to run on YARN or as a standalone library. Samza provides extremely low latencies and high throughput to analyze your data instantly. Scales to several terabytes of state with features like incremental checkpoints and host-affinity. Samza is easy to operate with flexible deployment options - YARN, Kubernetes or standalone. Ability to run the same code to process both batch and streaming data. Integrates with several sources including Kafka, HDFS, AWS Kinesis, Azure Eventhubs, K-V stores and ElasticSearch.
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    E-MapReduce
    EMR is an all-in-one enterprise-ready big data platform that provides cluster, job, and data management services based on open-source ecosystems, such as Hadoop, Spark, Kafka, Flink, and Storm. Alibaba Cloud Elastic MapReduce (EMR) is a big data processing solution that runs on the Alibaba Cloud platform. EMR is built on Alibaba Cloud ECS instances and is based on open-source Apache Hadoop and Apache Spark. EMR allows you to use the Hadoop and Spark ecosystem components, such as Apache Hive, Apache Kafka, Flink, Druid, and TensorFlow, to analyze and process data. You can use EMR to process data stored on different Alibaba Cloud data storage service, such as Object Storage Service (OSS), Log Service (SLS), and Relational Database Service (RDS). You can quickly create clusters without the need to configure hardware and software. All maintenance operations are completed on its Web interface.
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    Stackable

    Stackable

    Stackable

    The Stackable data platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka, Apache Druid, Trino, and Apache Spark. While other current offerings either push their proprietary solutions or deepen vendor lock-in, Stackable takes a different approach. All data apps work together seamlessly and can be added or removed in no time. Based on Kubernetes, it runs everywhere, on-prem or in the cloud. stackablectl and a Kubernetes cluster are all you need to run your first stackable data platform. Within minutes, you will be ready to start working with your data. Configure your one-line startup command right here. Similar to kubectl, stackablectl is designed to easily interface with the Stackable Data Platform. Use the command line utility to deploy and manage stackable data apps on Kubernetes. With stackablectl, you can create, delete, and update components.
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    Altinity

    Altinity

    Altinity

    Altinity's expert engineering team can implement everything from core ClickHouse features to Kubernetes operator behavior to client library improvements. A flexible docker-based GUI manager for ClickHouse that can do the following: Install ClickHouse clusters; Add, delete, and replace nodes; Monitor cluster status; Help with troubleshooting and diagnostics. 3rd party tools and software integrations: Ingest: Kafka, ClickTail; APIs: Python, Golang, ODBC, Java; Kubernetes; UI tools: Grafana, Superset, Tabix, Graphite; Databases: MySQL, PostgreSQL; BI tools: Tableau and many more. Altinity.Cloud incorporates lessons from helping hundreds of customers operate ClickHouse-based analytics. Altinity.Cloud has a Kubernetes-based architecture that delivers portability and user choice of where to operate. Designed from the beginning to run anywhere without lock-in. Cost management is critical for SaaS businesses.
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    Baidu Messaging System
    Baidu Messaging System (BMS) is a distributed and scalable hosting message queue service with high throughputs. It collects massive data from websites, devices, or applications for real-time analysis, such as user browsing, clicks, and searches. BMS is a hosted service based on Apache Kafka. Kafka is a distributed, multi-partition, and multi-replica messaging service. The producer asynchronously interacts with the consumer through the message queue without waiting for each other. Compared with the traditional messaging service. BMS encapsulates the Kafka cluster details and provides them in the form of a hosted service. You can directly use BMS to integrate with massively distributed applications without the consideration of cluster operations and pay-per-use only.
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    Nutanix Karbon Platform Services
    Karbon Platform Services (KPS) by Nutanix is a Kubernetes-based multicloud Platform-as-a-Service (PaaS) designed to accelerate the development and deployment of microservices-based applications across any cloud. It offers a rich set of managed services, including Kubernetes applications (Containers-as-a-Service), serverless functions (Functions-as-a-Service), global data pipelines, streaming data and message bus (Kafka-aaS, NATS-aaS), AI services (Tensorflow-aaS, Openvino-aaS), ingress controller and service mesh (nginx/traefik-aaS, Istio-aaS), application monitoring and alerting (Prometheus-aaS), and log forwarding. KPS provides simple, SaaS-based multicloud operations, allowing operators to benefit from simplified operations and uniform application, data, and security lifecycle management, regardless of the underlying cloud. Developers can write applications once and deploy them across any cloud through the SaaS-based application lifecycle manager.
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    DataStax

    DataStax

    DataStax

    The Open, Multi-Cloud Stack for Modern Data Apps. Built on open-source Apache Cassandra™. Global-scale and 100% uptime without vendor lock-in. Deploy on multi-cloud, on-prem, open-source, and Kubernetes. Elastic and pay-as-you-go for improved TCO. Start building faster with Stargate APIs for NoSQL, real-time, reactive, JSON, REST, and GraphQL. Skip the complexity of multiple OSS projects and APIs that don’t scale. Ideal for commerce, mobile, AI/ML, IoT, microservices, social, gaming, and richly interactive applications that must scale-up and scale-down with demand. Get building modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Use REST, GraphQL, JSON with your favorite full-stack framework Richly interactive apps that are elastic and viral-ready from Day 1. Pay-as-you-go Apache Cassandra DBaaS that scales effortlessly and affordably.
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    VMware Tanzu
    Microservices, containers and Kubernetes help to free apps from infrastructure, enabling them to work independently and run anywhere. With VMware Tanzu, you can make the most of these cloud native patterns, automate the delivery of containerized workloads, and proactively manage apps in production. It’s all about freeing developers to do their thing: build great apps. Adding Kubernetes to your infrastructure doesn’t have to add complexity. With VMware Tanzu, you can ready your infrastructure for modern apps with consistent, conformant Kubernetes everywhere. Provide a self-service, compliant experience for developers that clears their path to production. Then centrally manage, govern and observe all clusters and apps across clouds. It’s that simple.
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    IBM Event Streams
    IBM Event Streams is a fully managed event streaming platform built on Apache Kafka, designed to help enterprises process and respond to real-time data streams. With capabilities for machine learning integration, high availability, and secure cloud deployment, it enables organizations to create intelligent applications that react to events as they happen. The platform supports multi-cloud environments, disaster recovery, and geo-replication, making it ideal for mission-critical workloads. IBM Event Streams simplifies building and scaling real-time, event-driven solutions, ensuring data is processed quickly and efficiently.
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    JHipster

    JHipster

    JHipster

    JHipster is a development platform to quickly generate, develop, and deploy modern web applications and microservice architectures. We support many frontend technologies, including Angular, React, and Vue. We even have mobile app support for Ionic and React Native! On the backend, we support Spring Boot (with Java or Kotlin), Micronaut, Quarkus, Node.js, and . NET. For deployment, we embrace cloud-native principles with Docker and Kubernetes. Deployment support exists for AWS, Azure, Cloud Foundry, Google Cloud Platform, Heroku, and OpenShift. Our goal is to generate a complete and modern web app or microservice architecture. A high-performance and robust server-side stack with excellent test coverage. A sleek, modern, mobile-first UI with Angular, React, or Vue + Bootstrap for CSS. A powerful workflow to build your application with Webpack and Maven or Gradle. Resilient microservice architecture with cloud-native principles in mind.
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    Apprenda

    Apprenda

    Apprenda

    Apprenda Cloud Platform empowers enterprise IT to create a Kubernetes-enabled shared service on the infrastructures of their choice and offer it to developers across business units. ACP supports your entire custom application portfolio. Rapidly build, deploy, run, and manage cloud-native, microservices, and container-based .NET and Java applications or modernize traditional workloads. ACP gives your developers self-service access to the tools they need to rapidly build applications, while IT operators can very easily orchestrate the environments and workflows. Enterprise IT becomes a true service provider. ACP is a single platform spanning your multiple data- centers and clouds. Run ACP on-premise or consume it as a managed service on the public cloud; both with the assurance of complete infrastructure independence. ACP enables policy-driven control over all of your application workloads' infrastructure utilization and DevOps processes.
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    M3

    M3

    M3

    M3 is the obvious choice for Cloud Native companies looking to scale up their Prometheus based monitoring systems. M3 can be used as Prometheus Remote Storage and has 100% PromQL compatibility. M3 was originally developed at Uber in order to provide visibility into Uber’s business operations, microservices and infrastructure. With its ability to horizontally scale with ease, M3 provides a single centralized storage solution for all monitoring use cases. Three replicas of data with quorum writes and reads for consistency. Proven in production to ingest more than one billion datapoints per second while serving more than two billion datapoint reads per second. Open sourced under the Apache 2 license with a highly active community.
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    HyScale

    HyScale

    HyScale

    HyScale transforms the way agile teams deploy software to modern IT infrastructures powered by cloud, containers and Kubernetes. It's open-source and vendor-neutral. Created and containerized apps for a microservice-based platform minimizing delays in application delivery. Migrated monolithic apps to K8s & set up a self-service process in a few weeks’ time for a leading insurance company from UK. Automated CI/CD pipeline and reduced time to market for a US-based transportation management company. Focus on your app & quickly implement app changes. Continuously deliver microservices to Kubernetes with self-service DevOps. Deliver apps to K8s running on multi-cloud environments. Streamline with left-shifted security & gain visibility over container sprawl.
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    Wia

    Wia

    Wia

    The Wia IoT Cloud provides companies and engineers with secure infrastructure and APIs to build, connect and deploy Internet of Things solutions at scale. We take care of fleet management, resource provisioning, sensor data ingestion, device integrations, process automation, real-time analysis and rich visualizations - all in one place. Analyze your energy with real-time data to manage consumption, reduce spend and improve operational efficiency. A new way for businesses to start monitoring their electricity consumption across a building or entire campus so businesses can access scalable, secure and affordable real-time energy data to drive efficiency and sustainability goals. Instead of waiting for bills to arrive, see what you are using by the minute so you can react and make changes immediately.
    Starting Price: €2.99 per month
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    Tencent Cloud Elastic Microservice
    TEM embraces the Spring Cloud open source community and serves as a highly available, scalable, and flexible commercialized component-based microservice technology platform. It enables the modification-free and intrusion-free migration of Spring Cloud applications to the elastic microservice architecture, reducing your migration time and labor costs. TEM offers application hosting services that manage the entire lifecycle of cloud native microservice applications. With the aid of TEM, you can create, deploy, scale, stop, deactivate, and monitor applications simply, efficiently, securely, and flexibly without having to manage the underlying infrastructure. TEM enables you to easily, quickly, and smoothly migrate your businesses to the cloud without modifying your business code, which eliminates learning costs, greatly reduces your Ops costs, and helps you achieve better business outcomes.
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    Macaw

    Macaw

    Macaw Software

    Macaw is an enterprise grade platform optimized for building and transforming applications for digital age. Macaw provides an unique approach to modernize traditional applications to utilize containers and microservices technologies. It also offers a turn-key approach for enterprises to design, develop, build, publish, run and operate microservices based application in a holistic manner irrespective of the underlying infrastructure and clouds. Macaw is meant for enterprises looking to accelerate their modernization journey with hybrid-cloud strategy and cloud native applications. Thanks to its many built-in foundational services ,turnkey operational capabilities and kubernetes integration. Macaw provides the necessary run time environment, services and tools to build, deploy and manage Microservices based application. It provides various built-in and readily usable core application services like database, security, messaging, load-balancing for accelerated development and turn-key ops.
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    Equalum

    Equalum

    Equalum

    Equalum’s continuous data integration & streaming platform is the only solution that natively supports real-time, batch, and ETL use cases under one, unified platform with zero coding required. Make the move to real-time with a fully orchestrated, drag-and-drop, no-code UI. Experience rapid deployment, powerful transformations, and scalable streaming data pipelines in minutes. Multi-modal, robust, and scalable CDC enabling real-time streaming and data replication. Tuned for best-in-class performance no matter the source. The power of open-source big data frameworks, without the hassle. Equalum harnesses the scalability of open-source data frameworks such as Apache Spark and Kafka in the Platform engine to dramatically improve the performance of streaming and batch data processes. Organizations can increase data volumes while improving performance and minimizing system impact using this best-in-class infrastructure.
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    Spring Cloud Data Flow
    Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.
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    Eclipse ioFog
    Start building your first Eclipse ioFogTM application today. Eclipse ioFog is free, open source, and it always will be. By installing Eclipse ioFogTM to any device (with minimal amount of compute) you create a distributed Edge Compute Network (ECN), enabling you to run any microservice on it dynamically, securely, and remotely. Runs on each of your edge devices, giving you a microservice platform. Provides you remote control over the microservices. Brokers communication between microservices, across complex networks. Imagine a world where you can choose self-contained pieces of code (called microservices) and make them run anywhere you want at the push of a button. Where you can remotely control the code that is running on twenty iPhones in workers' pockets, thirty servers running in a factory building, and ten computers running in the trucks that ship your products. And you can do it all with the same technology.
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    AWS Greengrass
    AWS IoT Greengrass seamlessly extends AWS to edge devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage. With AWS IoT Greengrass, connected devices can run AWS Lambda functions, Docker containers, or both, execute predictions based on machine learning models, keep device data in sync, and communicate with other devices securely – even when not connected to the Internet. With AWS IoT Greengrass, you can use familiar languages and programming models to create and test your device software in the cloud, and then deploy it to your devices. AWS IoT Greengrass can be programmed to filter device data, manage the life cyle of that data on the device, and only transmit necessary information back to AWS. You can also connect to third-party applications, on-premises software, and AWS services out-of-the-box with AWS IoT Greengrass Connectors.
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    Apache RocketMQ

    Apache RocketMQ

    Apache Software Foundation

    Apache RocketMQ™ is a unified messaging engine, lightweight data processing platform. Financial-grade stability, widely used in transaction core links. Seamless connection to surrounding ecosystems such as microservices, real-time computing, and data lakes. Configurable, low-code way to integrate data, can establish connection with any system, can be used to build streaming ETL, data pipeline, data lake, etc. Stream computing engine that provides light weight, high scalability, high performance and rich functions. Rich message type support and message governance methods to meet serverless application scenarios with message granularity load balancing. Apache RocketMQ has been widely adopted by many enterprise developers and cloud vendors due to its simple architecture, rich business functions, and strong scalability.
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    Apache Druid
    Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures.
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    Azure Container Apps
    Azure Container Apps is a fully managed Kubernetes-based application platform that helps you deploy apps from code or containers without orchestrating complex infrastructure. Build heterogeneous modern apps or microservices with unified centralized networking, observability, dynamic scaling, and configuration for higher productivity. Design resilient microservices with full support for Dapr and dynamic scaling powered by KEDA. Advanced identity and access management to monitor container governance at scale and secure your environment. Scalable, portable platform with low management costs for improved velocity to production. Achieve high developer velocity and app-centric productivity while using open standards on a cloud-native foundation with no programming model requirement.
    Starting Price: $0.000024 per second
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    Waterstream

    Waterstream

    SimpleMatter

    Waterstream turns your Kafka-compatible platform into a full-fledged MQTT broker. Connect millions of clients to your data streaming platform with no code, no integration pipelines, and no additional storage. Waterstream implements a bidirectional layer between Kafka and MQTT clients. Forget managing external MQTT clusters, integration pipelines to code, and data duplication. Waterstream scales out linearly. For most operations, its nodes don’t depend on each other. Add more instances to support an increasing number of clients. Waterstream requires only Kafka to operate. The built-in persistence benefits of using Kafka are all included: high availability, high throughput, and low latency.