StreamNative Alternatives

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.

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.

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.

Apache Pulsar is a cloud-native, distributed messaging and streaming platform originally created at Yahoo! and now a top-level Apache Software Foundation project. Easy to deploy, lightweight compute process, developer-friendly APIs, no need to run your own stream processing engine. Run in production at Yahoo! scale for over 5 years, with millions of messages per second across millions of topics. Built from the ground up as a multi-tenant system. Supports isolation, authentication, authorization and quotas. Configurable replication between data centers across multiple geographic regions. Persistent message storage based on Apache BookKeeper. IO-level isolation between write and read operations. Rest admin API for provisioning, administration, tools and monitoring.

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.

Today, data distribution for enterprise, cloud, mobile, and IoT throughout your organization is a crucial part of your digital infrastructure. For more than 25 years, TIBCO has led the industry in high-performance messaging technology, and today we offer the most comprehensive messaging portfolio available to meet a wide variety of use cases and deployment models. TIBCO Messaging is the foundation of the TIBCO® Connected Intelligence platform, capitalizing on data in real-time wherever it is, and making it available to applications that drive action based on analytical insights. If you are looking for the best in messaging, you’ve come to the right place. TIBCO Messaging offers the most comprehensive messaging portfolio in a single, seamlessly integrated platform. From fully distributed, high-performance, peer-to-peer messaging; to certified JMS messaging; to open source messaging supporting Apache Kafka®, Apache Pulsar®, and MQTT.

To respond to business demands quickly and efficiently, you need a way to integrate applications and data spread across your enterprise. Red Hat® AMQ—based on open source communities like Apache ActiveMQ and Apache Kafka—is a flexible messaging platform that delivers information reliably, enabling real-time integration and connecting the Internet of Things (IoT).

Infrared360® is a complete solution for Administration, Monitoring, Load Testing, Auditing, Statistical Reporting and Self-Service for Enterprise middleware environments. Don’t let cloud platforms, containers, and other modern distributed architecture challenge your Service Level Objectives. Unlike other solutions, that write to logs and then trigger alerts from averages in those logs (causing oftentimes critical delays), Infrared360® provides True Real-Time™ monitoring with automatic notification of potential problems so you can maintain an optimally performing middleware layer. Auto-Discovery. Any objects, as soon as they have been created on any OS, including Queue Sharing groups and transmission queues, are auto-discovered so you can instantly determine if the allocated objects are correctly defined for availability to applications or subsystems.

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.

High-performing applications require a real-time exchange of information, exactly what TIBCO Cloud™ Messaging software provides. With multiple options, including Apache Kafka, Apache Pulsar, TIBCO Enterprise Message Service™, TIBCO FTL® and TIBCO eFTL™ software, we have you covered. Whether you need event-driven app integration; high-performance, low-latency messaging; connections for web apps to backend systems; or IoT integration, the robust yet simple TIBCO Cloud Messaging client API and cloud distribution network is the easiest way to connect. TIBCO Cloud Messaging software provides built-in fault tolerance, multi-zone data reliability, and scalable performance. It allows you to focus on application logic and not worry about deploying containers or infrastructure for your event streams. Simply connect your apps to the API and start publishing and subscribing to event messages immediately.

AliwareMQ for IoT is a message service that is designed specifically for IoT and mobile Internet (MI). The service can be applied to multiple scenarios, including live streaming, financial payments, smart catering, instant messaging, mobile apps, smart devices, and Internet of Vehicles. Message Queue for MQTT supports multiple protocols including MQTT and WebSocket to enable two-way communications between devices and the cloud. In this way, messages can be exchanged in multiple business models including C2C, C2B, and B2C to achieve Internet of Everything.

Middleware Observability & Management Software for Messaging, Event Processing, and Streaming Across Hybrid Cloud (MESH). - Complete observability and monitoring of Integration MESH with 360° Situational Awareness® - Securely manage, and automate configuration, administration, and deployment - Track, trace, and analyze transactions, messages and flows - Collect, monitor, and benchmark MESH performance meshIQ delivers granular access controls to manage configurations across the MESH to reduce downtime and quick recovery from outages. Provides the ability to find, browse, track, and trace messages to detect bottlenecks and speeding up root-cause analysis. Unlocks the integration blackbox to deliver visibility across the MESH infrastructure to visualize, analyze, report, and predict. Delivers the ability to trigger automated actions based on pre-defined criteria or intelligent actions determined by AI/ML.

TIBCO Enterprise Message Service™, our standards-based Java™ Message Service (JMS) broker allows any application that supports JMS, whether home grown or third-party, to quickly and easily exchange messages. Fully certified with both the JMS 1.1 and 2.0 specifications ensures compatibility with other applications—as well as a loosely coupled design for less overhead, time, and cost. As part of TIBCO® Messaging, it supports seamless integration for heterogeneous platforms, reduces system bottlenecks, increases scalability, and helps you respond faster to change.

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.

With a broad range of features, TIBCO Rendezvous® has been the ideal platform for high-speed data distribution using a fully distributed daemon-based peer-to-peer architecture that eliminates bottlenecks and single points of failure. Depend on one of the most widely deployed, supported, and proven low-latency messaging solutions to increase efficiency across your entire organization. A dynamic, source-based routing protocol is fast and efficient, and fuels a system that is simple to configure and minimizes integration-driven traffic as cross-system needs grow. Maximize uptime by selecting the right qualities of service, including reliable or guaranteed delivery, to eliminate bottlenecks and any single points of failure. Fully distributed peer-to-peer architecture and built-in load balancing give you this flexibility, and the ability to design the middleware messaging system you need for digital business success.

When dealing with web-scale use cases, traditional HTTP-based web apps have severe limitations in that they either don’t provide real-time communications or do so using a lot of overhead. Securely connecting to your on-premise services can be a daunting and complicated task. However, with TIBCO eFTL™, you can extend the power, flexibility, and scalability of TIBCO® Messaging; reduce your hardware footprint, and quickly get messages where they need to be for optimal digital-business performance. Don't jam up performance when your products and services catch fire with millions of mobile and Internet users. TIBCO eFTL messaging seamlessly scales real-time data distribution to outside users. TIBCO eFTL can operate on its own or work directly with the other TIBCO Messaging components, addressing all your inter-application needs. TIBCO eFTL delivers real-time, two-way, fully guaranteed message delivery and secure connectivity to backend systems and data.

Innovative and modern message queue and message broker in a lightweight container developed to run in Kubernetes, certified in the CNCF landscape and connect natively to the cloud-native ecosystem. A message broker and message queue ideal for developers. Provides all messaging patterns, scalable, highly available, and secure. Connect microservices instantly using a rich set of connectors without writing any code. Easy-to-use SDKs and elimination of predefined topics, channels, brokers, and routes. Build & Deploy allows configurations of KubeMQ components to be built with a few clicks and deployed with kubectl command line. Innovative and modern message queue and message broker in a lightweight container developed to run in Kubernetes, certified in the CNCF landscape, and connect natively to the cloud-native ecosystem. Simple deployment in Kubernetes in less than 1 minute. Developer friendly by simple to use SDKs and elimination of the many developers and DevOps-centered challenges.

Red Hat® Integration is a comprehensive set of integration and messaging technologies to connect applications and data across hybrid infrastructures. It is an agile, distributed, containerized, and API-centric solution. It provides service composition and orchestration, application connectivity and data transformation, real-time message streaming, change data capture, and API management, all combined with a cloud-native platform and toolchain to support the full spectrum of modern application development. Deploy enterprise integration patterns (EIPs) based integrations using 200+ pluggable connectors to connect new and existing data across the hybrid cloud. Create, deploy, monitor, and control APIs throughout their entire lifecycle. With an API-first approach, extend your integrations across hybrid and multi-cloud environments. Develop and manage services in popular container standards, as well as package and deploy lightweight containers in distributed environments.

GoSaaS Integrator is a lightweight, scalable enterprise integration solution that works seamlessly with both on-premise and cloud applications. The GoSaaS integrator is designed for the synchronization of objects between any two systems. It is a message-based integration system that has the capability to pull or push the data from any complex system based upon the invoke/trigger adapters. Maintain a smooth business flow to ensure consistent data across all the systems with the help of this intelligent solution. Mappings and transformation can be carried out to ensure conformity to the destination format. It is a framework to build complex, high-performance, and robust integrations between the systems. We have implemented microservices architecture for the sake of scalability and reusability. Ensures that data accuracy is maintained between the systems. Provides enhanced change management, supports bidirectional synchronization, and ensures easy business flow.

MQ provides a reliable way to communicate between services and components. Highly available, persistent by design, with best-effort one-time delivery, MQ is the most industrial-strength, cloud-native solution for modern application architecture. Supports a rich set of features including push and pull queues, long polling, error queues, alerts and triggers, and more. MQ is a global service that runs on multiple clouds and availability zones. For advanced users with critical messaging needs, queues can automatically point to alternative zones in case of an outage without having to change any code. Runs on top of cloud infrastructure and uses multiple high-availability data centers. MQ scales without the need for you to add and maintain resources yourself. Uses HTTPS/Rest-based APIs for simple and efficient cloud use. Built with MQ standards in mind for maximum flexibility and configuration.

HiveMQ is the most trusted enterprise MQTT platform, purpose-built to connect anything via MQTT, communicate reliably, and control IoT data. The platform can be deployed anywhere, on-premise or in the cloud, giving developers the flexibility and freedom they need to evolve as their IoT deployment grows. HiveMQ is reliable under real-world stress, scales without limits, and provides enterprise-grade security to meet the needs of organizations at any stage of digital transformation. The extensible platform provides seamless connectivity to the leading data streaming, databases, and data analytics platforms, plus offers a custom SDK for a perfect fit in any stack.

CMQ can efficiently send/receive and push tens of millions of messages and retain an unlimited number of messages. It features an extremely high throughput and can process over 100,000 queries per second (QPS) with one single cluster, fully meeting the messaging needs of your businesses. When each message is returned to the user, CMQ writes three copies of the message data to different physical servers so that when one of the servers fails, the backend data replication mechanism can quickly migrate the data. CMQ supports HTTPS-based secure access and utilizes Tencent Cloud's multi-dimensional security protection to defend against network attacks and protect the privacy of your businesses. Plus, it supports managing master/sub-accounts and collaborator accounts for fine-grained resource access control.

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.

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.

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.

When you need the very best, TIBCO is, and has always been, at the forefront of data distribution for high-speed messaging. For digital businesses requiring that data moves quickly to and from the cloud, mobile users, “things,” and big data sources, TIBCO FTL is the best there is, ultimate performance without sacrificing on enterprise-class features. When every nanosecond counts and your business needs to move data quickly, it can, as low as 210 nanoseconds of latency with single-digit nanosecond variance between separate applications, even in the cloud, where resources are widely dispersed and communications speed is inconsistent. You can expect maximum performance and reliable message delivery throughput. With a single instance of FTL, you can deliver over 6 million messages per second, and deliver guaranteed messages at over 850,000 per second. With TIBCO, you can gather, analyze, and respond using all your data. Performance is the fuel for digital transformation.

Ably is an enterprise-ready pub/sub messaging platform. We make it easy to efficiently design, quickly ship, and seamlessly scale critical realtime functionality delivered directly to end-users. Everyday we deliver billions of realtime messages to millions of users for thousands of companies. We power the apps people, organizations, and enterprises depend on everyday like Lightspeed System’s realtime device management platform for over seven million school-owned devices, Vitac’s live captioning for 100s of millions of multilingual viewers for events like the Olympic Games, and Split’s realtime feature flagging for one trillion feature flags per month. We’re the only pub/sub platform with a suite of integrated services to build complete realtime functionality like showing a driver’s live GPS location on a home-delivery app, instantly loading the most recent score when opening a sports app, while automatically handling reconnection when swapping networks.

Built on open-source Apache Kafka, IBM® Event Streams is an event-streaming platform that helps you build smart apps that can react to events as they happen. Event Streams is based on years of IBM operational expertise gained from running Apache Kafka event streams for enterprises. This makes Event Streams ideal for mission-critical workloads. With connectors to a wide range of core systems and a scalable REST API, you can extend the reach of your existing enterprise assets. Rich security and geo-replication aids disaster recovery. Take advantage of IBM productivity tools and use the CLI to ensure best practices. Replicate data between Event Streams deployments in a disaster-recovery situation.

Use Azure Queue Storage to build flexible applications and separate functions for better durability across large workloads. When you design applications for scale, application components can be decoupled, so that they can scale independently. Queue storage gives you asynchronous message queueing for communication between application components, whether they are running in the cloud, on the desktop, on-premises, or on mobile devices. Use Queue Storage to rightsize your service deployment. Applications absorb unexpected traffic bursts, which prevents servers from being overwhelmed by a sudden flood of requests. Monitor queue length to add elasticity to your application, and deploy or hibernate additional worker nodes based on customer demand.

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.

Unlock the flexibility of data with a SQL-based rule engine. Integrates with eKuiper to bring stream processing to the edge. Reduce the cost of integrating edge computing applications with event-driven WebHooks. Easy to maintain with EdgeOps-friendly HTTP APIs. NanoMQ is small but mighty. It is fully featured and competes in every perspective despite its tiny size. Task Layer: It is a built-in actor model with thread-level parallelism, which make NanoMQ highly scalable on a modern SMP system. Scale-out easily to engage multiple cores with less CPU usage in the modern SMP system. Highly compatible and portable with any POSIX-based platform. Booting footprint is less than 200Kb in minimum feature set.

BigBI enables data specialists to build their own powerful big data pipelines interactively & efficiently, without any coding! BigBI unleashes the power of Apache Spark enabling: Scalable processing of real Big Data (up to 100X faster) Integration of traditional data (SQL, batch files) with modern data sources including semi-structured (JSON, NoSQL DBs, Elastic, Hadoop), and unstructured (Text, Audio, video), Integration of streaming data, cloud data, AI/ML & graphs

Connecting systems to scale AI initiatives is complex, expensive, and prone to fail. Pandio’s cloud-native managed solution simplifies your data pipelines to harness the power of AI. Access your data from anywhere at any time in order to query, analyze, and drive to insight. Big data analytics without the big cost. Enable data movement seamlessly. Streaming, queuing and pub-sub with unmatched throughput, latency, and durability. Design, train, and deploy machine learning models locally in less than 30 minutes. Accelerate your path to ML and democratize the process across your organization. And it doesn’t require months (or years) of disappointment. Pandio’s AI-driven architecture automatically orchestrates your models, data, and ML tools. Pandio works with your existing stack to accelerate your ML initiatives. Orchestrate your models and messages across your organization.

Cloud-Native ETL Tool. Load and Transform Data To Your Cloud Data Warehouse In Minutes. We reversed the traditional ETL process to create a solution that performs data integration within the cloud itself. Our solution utilizes the near-infinite storage capacity of the cloud—meaning your projects get near-infinite scalability. By working in the cloud, we reduce the complexity involved in moving large amounts of data. Process a billion rows of data in fifteen minutes—and go from launch to live in just five. Modern businesses seeking a competitive advantage must harness their data to gain better business insights. Matillion enables your data journey by extracting, migrating and transforming your data in the cloud allowing you to gain new insights and make better business decisions.

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.

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.

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.

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.

Enterprises running real-time web and mobile apps struggle with latency, bandwidth, and scalability issues, which negatively impact the total cost of ownership as well as the real-time experience of their users. These issues are inherent to the traditional techniques, such as HTTP polling or long polling, employed to achieve real-time communication using web and application servers. To overcome these issues, we created MigratoryData, a real-time messaging technology leveraging the WebSockets standard, streaming data to and from users over persistent WebSocket connections in milliseconds and with minimal traffic overhead. Unlike other real-time messaging technologies, MigratoryData has been designed to scale to a large number of users. It has been benchmarked to stream real-time data to 10 million concurrent users from a single commodity server.

Aurea Messenger helps your technology keep pace with your business through an industry-leading enterprise service bus (ESB) that lets you adapt quickly. With Aurea Messenger, you can integrate technologies without getting bogged down in time-consuming custom implementations or high-risk roll-outs. It’s a sophisticated messaging bus that facilitates swift and simple integration of mission-critical systems through Aurea developed or custom adapters. Solve the most challenging connectivity problems across SOA, REST, SaaS, and APIs. Aurea Messenger provides a unified, hybrid integration platform that creates a seamless network of apps, data, and devices. Enable reliable, flexible services for the exchange of critical business data, including connectivity, message transformation and routing, transaction mediation, and process orchestration. Aurea Messenger delivers more than doubled messaging capacity and 10x data capacity, plus real-time metrics to diagnose and resolve flow-control issues.

Distributed messaging systems such as Kafka and Pulsar have provided modern Pub/Sub infrastructure well suited for today’s data-intensive applications. Pravega further enhances this popular programming model and provides a cloud-native streaming infrastructure, enabling a wider swath of applications. Pravega streams are durable, consistent, and elastic, while natively supporting long-term data retention. Pravega solves architecture-level problems that former topic-based systems Kafka and Pulsar have failed to solve, such as auto-scaling of partitions or maintaining high performance for a large number of partitions. It enhances the range of supported applications by efficiently handling both small events as in IoT and larger data as in videos for computer vision/video analytics. By providing abstractions beyond streams, Pravega also enables replicating application state and storing key-value pairs.

Spectra is a comprehensive DataOps (data ingestion, transformation, and preparation) platform to build and manage complex, varied data pipelines using a low-code user interface with domain-specific features to deliver data solutions at speed and at scale. Maximize your ROI with faster time-to-market and time-to-value, and reduced cost of ownership. Get access to over 50 pre-built native connectors with readily available data processing functions such as sort, look-up, join, transform, grouping and many more. Process structured, semi-structured, and unstructured data in batch or real-time streaming data. Optimize and control infrastructure spending for your organization by efficiently managing data processing and data pipeline. Spectra’s pushdown transformation capabilities with Snowflake Data Cloud enables enterprises to leverage Snowflake’s high-performing processing power and scalable architecture.

DataOps.live, the Data Products company, delivers productivity and governance breakthroughs for data developers and teams through environment automation, pipeline orchestration, continuous testing and unified observability. We bring agile DevOps automation and a powerful unified cloud Developer Experience (DX) ​to modern cloud data platforms like Snowflake.​ DataOps.live, a global cloud-native company, is used by Global 2000 enterprises including Roche Diagnostics and OneWeb to deliver 1000s of Data Product releases per month with the speed and governance the business demands.

More data sources, more silos, more complexity, and constant change. Data architectures are challenged to keep pace—a big problem for today's data-driven organizations, and one that puts your business at risk. A data fabric is a modern distributed data architecture that includes shared data assets and optimized data fabric pipelines that you can use to address today's data challenges in a unified way. Optimized data management and integration capabilities so you can intelligently simplify, automate, and accelerate your data pipelines. Easy-to-deploy and adapt distributed data architecture that fits your complex, ever-changing technology landscape. Accelerate time to value by unlocking your distributed on-premises, cloud, and hybrid cloud data, no matter where it resides, and delivering it wherever it's needed at the pace of business.

Get all your ELT data pipelines running in minutes, even your custom ones. Let your team focus on insights and innovation. Unify your data integration pipelines in one open-source ELT platform. Airbyte addresses all your data team's connector needs, however custom they are and whatever your scale. The data integration platform that can scale with your custom or high-volume needs. From high-volume databases to the long tail of API sources. Leverage Airbyte’s long tail of high-quality connectors that adapt to schema and API changes. Extensible to unify all native & custom ELT. Edit pre-built open-source connectors, or build new ones with our connector development kit in a few hours. Transparent and scalable pricing. Finally, a transparent and predictable cost-based pricing that scales with your data needs. You don’t need to worry about volume anymore. No more need for custom systems for your in-house scripts or database replication.

Simple Message Notification (SMN) enables you to broadcast messages to email addresses, phone numbers, and HTTP/HTTPS servers and connect cloud services through notifications, reducing system complexity. Efficiently sends messages with three easy-to-use APIs for topic creation, subscription, and message publishing. Saves messages in multiple data centers to achieve high availability. If a message delivery fails, the failed message will be cached and delivered again. Enables you to deliver messages to subscribers using various protocols with only one messaging request. Isolates data by topic. Unauthorized users cannot access your message queues, ensuring service security. Use messages to connect other cloud services, achieving system decoupling and ensuring reliability. If one service becomes faulty, messages sent to other services will not be adversely affected. Connects cloud services and automatically invokes their functions through messages.

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.

StreamSets DataOps Platform. The data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps, and power modern analytics and hybrid integration. Only StreamSets provides a single design experience for all design patterns for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps. With StreamSets, you can deliver the continuous data that drives the connected enterprise.

Unified stream and batch data processing that's serverless, fast, and cost-effective. Fully managed data processing service. Automated provisioning and management of processing resources. Horizontal autoscaling of worker resources to maximize resource utilization. OSS community-driven innovation with Apache Beam SDK. Reliable and consistent exactly-once processing. Streaming data analytics with speed. Dataflow enables fast, simplified streaming data pipeline development with lower data latency. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Dataflow automates provisioning and management of processing resources to minimize latency and maximize utilization.

Lightbend provides technology that enables developers to easily build data-centric applications that bring the most demanding, globally distributed applications and streaming data pipelines to life. Companies worldwide turn to Lightbend to solve the challenges of real-time, distributed data in support of their most business-critical initiatives. Akka Platform provides the building blocks that make it easy for businesses to build, deploy, and run large-scale applications that support digitally transformative initiatives. Accelerate time-to-value and reduce infrastructure and cloud costs with reactive microservices that take full advantage of the distributed nature of the cloud and are resilient to failure, highly efficient, and operative at any scale. Native support for encryption, data shredding, TLS enforcement, and continued compliance with GDPR. Framework for quick construction, deployment and management of streaming data pipelines.