Alternatives to StreamNative

Open Automation Software IIoT platform Windows and Linux allows you to liberate your Industry4.0 data. OAS is an unlimited IoT Gateway that works with Windows, Linux, Raspberry Pi 4 and Windows IoT Core. It can also be used to deploy Docker containers. HMI visualizations for web, WPF, WinForm C#, and VB.NET applications. Log data and alarms to SQL Server and MS Access, SQL Server, Oracle and MS Access, MySQL and Azure SQL, PostgreSQL and Cassandra. MQTT Broker and Client interface, as well as cloud connectivity to Azure IoT Gateway and AWS IoT Gateway. Remote Excel Workbooks can be used to read and write data. Notifications of alarm sent to voice, SMS text and email. Access to programmatic information via REST API and.NET Allen Bradley ControlLogix and CompactLogix, GuardLogix. Micro800, MicroLogix. MicroLogix. SLC 500. PLC-5. Siemens S7-220, S7-3300, S7-405, S7-490, S7-1200, S7-1500, and S7-1500 Modbus TCP and Modbus RTU are Modbus ASCII and Modbus TCP for Master and Slave communication. OPTO-22, MTConnect and OPC UA, OPC DA.

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 data 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. EMQX Enterprise: The World’s # 1 Scalable MQTT Messaging Platform -100M concurrent MQTT connections -1M/s messages throughput under 1ms latency -Business-critical reliability, Up to 99.99% SLA -Integrate IoT data seamlessly with over 40 cloud services and enterprise systems EMQX Cloud: Fully Managed MQTT Service for IoT - Scale as you need, pay as you go - Flexible and rich IoT data integration up to 40+ choices - Run in 19 regions across AWS, GCP, and Microsoft Azure - 100% MQTT

Apache Pulsar, a cloud-native distributed messaging and streaming platform, was originally created by Yahoo! It is now a top-level Apache Software Foundation Project. It is easy to deploy, lightweight, and can be used by developers. You don't need to create your own stream processing engine. Yahoo! Production. Yahoo! has been in production for more than 5 years with millions of messages per minute across millions of topics. As a multi-tenant system, it was built from the ground up. Supports isolation, authentication authorization, authorization, and quotas. Configurable replication between data centres across multiple geographical regions. Persistent message storage using Apache BookKeeper. IO-level isolation between read and write operations. Rest admin API for provisioning and administration, tools, and monitoring.

Apache Kafka®, is an open-source distributed streaming platform.

You need a way of integrating applications and data across your enterprise to respond quickly to business needs. Red Hat®, a flexible messaging platform based on open-source communities like Apache ActiveMQ or Apache Kafka, is able to deliver reliable information and enable real-time integration and connection to the Internet of Things.

Responsive apps keep developers motivated and users engaged. With the DataStax Astra streaming service platform, you can meet these ever-increasing demands. DataStax Astra Streaming, powered by Apache Pulsar, is a cloud-native messaging platform and event streaming platform. Astra Streaming lets you build streaming applications on top a multi-cloud, elastically scalable and event streaming platform. Apache Pulsar is the next-generation event streaming platform that powers Astra Streaming. It provides a unified solution to streaming, queuing and stream processing. Astra Streaming complements Astra DB. Astra Streaming allows existing Astra DB users to easily create real-time data pipelines from and to their Astra DB instances. Astra Streaming allows you to avoid vendor lock-in by deploying on any major public cloud (AWS, GCP or Azure) compatible with open source Apache Pulsar.

Infrared360®, a complete solution for administration, monitoring, load testing, auditing, statistical reporting, and self-service for enterprise middleware environments, is available.

Apache RocketMQ™, a lightweight messaging engine and data processing platform, is an example of a unified message engine.

Middleware Observability & management software for Messaging, event processing, and Streaming Across Hybrid Clouds (MESH). - 360 degree situational awareness® with complete observability of Integration MESH - Manage configuration, administration and deployment in a secure manner and automate them. - Track and trace transactions, messages, and flows - Collect data, monitor performance, and benchmark it meshIQ provides granular controls for managing configurations in the MESH, reducing downtime and allowing quick recovery after outages. It allows you to search, browse, track and trace messages in order to detect bottlenecks, speed up root cause analysis, and detect bottlenecks. Unlocks integration blackbox for visibility across MESH infrastructure in order to visualize, analyse, report and predict. Delivers the capability to trigger automated action based on predefined criteria or intelligent AI/ML actions.

AliwareMQ is a messaging service specifically designed for IoT and mobile Internet. The service can be used in multiple scenarios including live streaming, financial payments and instant messaging. Message Queue MQTT supports multiple protocols, including MQTT or WebSocket to allow two-way communication between devices and the cloud. This allows messages to be exchanged in multiple business models, including C2C and C2B, for Internet of Everything.

Massive amounts data can be moved as messages between services, applications and systems at any one time. If an application isn’t available or a service interruption occurs, messages and transactions may be lost or duplicated. This can cost businesses time and money. IBM has refined IBM MQ over the past 25 years. MQ allows you to hold a message in a queue until it is delivered. MQ moves data once, even file data, to avoid competitors delivering messages twice or not at the right time. MQ will never lose a message. IBM MQ can be run on your mainframe, in containers, in public or private clouds or in containers. IBM offers an IBM-managed cloud service (IBM MQ Cloud), hosted on Amazon Web Services or IBM Cloud, as well as a purpose-built Appliance (IBM MQ Appliance), to simplify deployment and maintenance.

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.

Solace is a specialist in Event-Driven-Architecture (EDA), with two decades of experience providing enterprises with highly reliable, robust and scalable data movement technology based on the publish & subscribe (pub/sub) pattern. Solace technology enables the real-time data flow behind many of the conveniences you take for granted every day such as immediate loyalty rewards from your credit card, the weather data delivered to your mobile phone, real-time airplane movements on the ground and in the air, and timely inventory updates to some of your favourite department stores and grocery chains, not to mention that Solace technology also powers many of the world's leading stock exchanges and betting houses. Aside from rock solid technology, stellar customer support is one of the biggest reasons customers select Solace, and stick with them.

CMQ can send/receive, push and push tens to millions of messages efficiently and can retain an unlimited amount of messages. It can process more than 100,000 queries per second (QPS), with one cluster. This allows it to fully meet your business' messaging needs. CMQ creates three copies of each message to be returned to the user. This allows the backend data replication mechanism to quickly migrate data to other servers in case one fails. CMQ supports HTTPS secure access and Tencent Cloud's multidimensional security protection to protect your business from network attacks. It also supports the management of master/sub-accounts as well as collaborator accounts, which allows for fine-grained access control to resource access.

Innovative, modern message queue and broker in a lightweight container designed to run in Kubernetes. Certified in the CNCF landscape. Connect natively to the cloud's native ecosystem.

Red Hat®, Integration is a set of messaging and integration technologies that connects applications and data on hybrid infrastructures. It is an API-centric, agile, containerized and distributed solution. It offers service composition and orchestration as well as application connectivity and data transform, real-time messaging, change data capture and API management. All of this is combined with a cloud native platform and toolchain that supports the full spectrum for modern application development. Deploy enterprise-integration patterns (EIPs), based on 200+ pluggable connecters, to connect new and old data across hybrid cloud. Create, deploy and monitor APIs through their entire lifecycle. By focusing on APIs, you can extend your integrations to hybrid and multi-cloud environments. Develop and manage container services, and package and deploy lightweight containers.

MQ is a reliable way for components and services to communicate with each other. MQ is highly available, persistent by design, and with best-effort one time delivery. It is the most industrial-strength cloud-native solution to modern application architecture. A rich set of features is available, including push and pull queues as well as long polling, error queues and alerts and triggers. MQ is a global service that can run on multiple clouds and availability zones. Advanced users with critical messaging requirements can have queues point to other zones in the event of an outage. This is done without changing any code. It runs on top of cloud infrastructure and makes use of multiple high-availability data centres. MQ scales without you having to manually add or maintain resources. For efficient and simple cloud use, MQ uses HTTPS/Rest APIs. For maximum flexibility and configuration, built with MQ standards.

GoSaaS Integrator, a lightweight and scalable enterprise integration tool, integrates seamlessly with on-premises and cloud applications. The GoSaaS Integrator is designed to synchronize objects between two systems. It is a message based integration system with the ability to pull or push data from any complex systems based on the invoke/trigger Adapters. This intelligent solution helps to maintain a smooth business process and ensure that data is consistent across all systems. This intelligent solution allows mapping and transformation to be performed to ensure conformity with the destination format. It is a framework for building complex, high-performance and robust integrations. We have implemented a microservices architecture to ensure scalability. Assures data accuracy between systems. Enhances change management, supports bidirectional synchronization, and ensures a smooth business flow.

BMS is a distributed, scalable message queue hosting service with high throughput. It collects data from devices, applications, and websites for real-time analytics, such as clicks, searches, and browsing by users. BMS is a hosted Apache Kafka service. Kafka is distributed, multipartitioned, and multi-replica message service. The producer and consumer interact asynchronously through the message queue, without waiting for one another. Comparatively to the traditional messaging service. BMS provides the Kafka cluster information as a hosted service. BMS can be used to integrate with applications that are distributed in a massive way without having to consider cluster operations or pay-per-use.

IBM® Event Streams, an event-streaming platform built on Apache Kafka open-source software, is a smart app that reacts to events as they occur. Event Streams is based upon years of IBM operational experience running Apache Kafka stream events for enterprises. Event Streams is ideal for mission-critical workloads. You can extend the reach and reach of your enterprise assets by connecting to a variety of core systems and using a scalable RESTAPI. Disaster recovery is made easier by geo-replication and rich security. Use the CLI to take advantage of IBM productivity tools. Replicate data between Event Streams deployments during a disaster-recovery scenario.

BigBI allows data specialists to create their own powerful Big Data pipelines interactively and efficiently, without coding! BigBI unleashes Apache Spark's power, enabling: Scalable processing of Big Data (upto 100X faster). Integration of traditional data (SQL and batch files) with new data Sources include semi-structured data (JSON, NoSQL DBs and Hadoop) as well as unstructured data (text, audio, video). Integration of streaming data and cloud data, AI/ML graphs & graphs

A SQL-based rule engine unlocks the flexibility of data. Integrates with eKuiper for stream processing at the edge. Event-driven WebHooks make it easier to integrate edge computing applications. Easy to maintain using EdgeOps-friendly APIs. NanoMQ is small, but powerful. Despite its small size, NanoMQ is full featured and can compete in all perspectives. Task Layer: NanoMQ is a built in actor model with thread level parallelism. This makes NanoMQ highly scalable on modern SMP systems. Scale out easily to engage multiple cores while using less CPU in the modern SMP platform. Compatible and portable with any POSIX platform. Booting footprint is less that 200Kb with the minimum feature set.

RabbitMQ is lightweight, portable, and easy to use on the premises or in the cloud. It supports multiple messaging protocols. RabbitMQ can both be deployed in distributed or federated configurations to meet high availability and scale requirements.

Eclipse Mosquitto (EPL/EDL licensed), is an open-source message broker that implements MQTT versions 5.0, 3.1 and 3.1.1. Mosquitto is a lightweight message broker that can be used on any device, from single board computers with low power to full servers. The MQTT protocol is a lightweight way to send messages using a publish/subscribe method. This makes it ideal for Internet of Things messages, such as low-power sensors or mobile devices like phones, embedded computers or Microcontrollers. The Mosquitto Project also provides a C Library for implementing MQTT Clients, as well as the very popular command line MQTT client mosquitto_pub.

It is difficult, costly, and risky to connect systems to scale AI projects. Pandio's cloud native managed solution simplifies data pipelines to harness AI's power. You can access your data from any location at any time to query, analyze, or drive to insight. Big data analytics without the high cost Enable data movement seamlessly. Streaming, queuing, and pub-sub with unparalleled throughput, latency and durability. In less than 30 minutes, you can design, train, deploy, and test machine learning models locally. Accelerate your journey to ML and democratize it across your organization. It doesn't take months or years of disappointment. Pandio's AI driven architecture automatically orchestrates all your models, data and ML tools. Pandio can be integrated with your existing stack to help you accelerate your ML efforts. Orchestrate your messages and models across your organization.

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 trust us with their critical applications like chat, notifications and broadcast - reliably, securely and at serious scale.

Azure Queue Storage allows you to create flexible applications and separate functions that can withstand large workloads. Application components can be separated to scale when you design applications. Queue storage allows you to use asynchronous message queueing to communicate between components of your application, regardless of whether they are running on-premises or in the cloud.

Amazon Simple Queue Service is a fully managed message queue service that allows you to scale distributed systems, microservices, and serverless applications. SQS removes the complexity and overhead involved in managing and operating message-oriented middleware and allows developers to concentrate on differentiating work. SQS allows you to send, store, or receive messages between software components at any volume without losing messages, or requiring additional services. You can get started with SQS within minutes by using the AWS console, Command Line Interface, or SDK of choice and three simple commands.

Enterprises that use real-time web or mobile apps have problems with latency, bandwidth and scalability. This negatively impacts their total cost of ownership and the real-time experience for their users. These issues are inherent in traditional methods, such as HTTP polling and long polling, which were used to achieve real-time communication via web and application servers. MigratoryData was created to address these issues. It streams data from and to users over persistent WebSocket connections in milliseconds with minimal traffic overhead. MigratoryData is scalable, unlike other real-time messaging technology. It is able to stream real-time data simultaneously to 10 million users from one commodity server.

Cloud-Native ETL tool. You can load and transform data to your cloud data warehouse in minutes. We have redesigned the traditional ETL process to create a solution for data integration in the cloud. Our solution makes use of the cloud's near-infinite storage capacity, which means that your projects have near-infinite scaling. We reduce the complexity of moving large amounts data by working in the cloud. In just fifteen minutes, you can process a billion rows and go live in five minutes. Modern businesses need to harness their data to gain greater business insight. Matillion can help you take your data journey to the next level by migrating, extracting, and transforming your data in cloud. This will allow you to gain new insights as well as make better business decisions.

Event Hubs is a fully managed, real time data ingestion service that is simple, reliable, and scalable. Stream millions of events per minute from any source to create dynamic data pipelines that can be used to respond to business problems. Use the geo-disaster recovery or geo-replication features to continue processing data in emergencies. Integrate seamlessly with Azure services to unlock valuable insights. You can allow existing Apache Kafka clients to talk to Event Hubs with no code changes. This allows you to have a managed Kafka experience, without the need to manage your own clusters. You can experience real-time data input and microbatching in the same stream. Instead of worrying about infrastructure management, focus on gaining insights from your data. Real-time big data pipelines are built to address business challenges immediately.

Aurea Messenger allows your technology to keep up with your business. It uses an industry-leading enterprise bus (ESB), which allows you to adapt quickly. Aurea Messenger makes it easy to integrate technologies without getting bogged-down in complex custom implementations or high risk roll-outs. It's a sophisticated messaging system that allows for quick and easy integration of mission-critical systems via Aurea-developed or custom adapters. Connectivity problems can be solved across SOA, REST and SaaS. Aurea Messenger is a unified, hybrid integration platform which creates a seamless network from apps, data, devices and other resources. Provide reliable and flexible services that allow the exchange of business data. This includes connectivity, message transformation, routing, and transaction mediation. Aurea Messenger offers more than doubled messaging capacity and a 10x data storage capacity. Plus, real-time metrics allow for flow-control issues to be diagnosed and resolved.

Amazon Simple Notification Service is a fully managed messaging platform that allows for system-to–system and app-to–person (A2P), communication. It allows you to communicate between systems using publish/subscribe patterns (pub/sub), which allow messaging between decoupled microservice apps. You can also communicate directly with users via SMS, mobile push, and email. The system-to–system pub/sub functionality allows for topic-based, high-throughput push-based, many–to-many messaging. Your publisher systems can use Amazon SNS topics to fanout messages to large numbers of customer endpoints or subscriber systems, including Amazon SQS queues and AWS Lambda functions. You can send messages to large numbers of users using the A2P messaging functionality. This allows you to use either a pub/sub or direct-publish message using one API.

Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.

BDB is a modern data analysis and BI platform that can dig deep into your data to uncover actionable insights. It can be deployed on-premise or in the cloud. Our unique microservices-based architecture includes elements such as Data Preparation and Predictive, Pipeline, Dashboard designer, and Pipeline. This allows us to offer customized solutions and scalable analysis to different industries. BDB's NLP-based search allows users to access the data power on desktop, tablet, and mobile. BDB is equipped with many data connectors that allow it to connect to a variety of data sources, apps, third-party API's, IoT and social media. It works in real-time. It allows you to connect to RDBMS and Big data, FTP/ SFTP Server flat files, web services, and FTP/ SFTP Server. You can manage unstructured, semi-structured, and structured data. Get started on your journey to advanced analysis today.

Simple Message Notification allows you to send messages to email addresses, phone numbers, HTTP/HTTPS servers, and cloud services through notifications. This reduces system complexity. Three easy-to-use APIs allow you to create topics, subscribe, and publish messages efficiently. To ensure high availability, messages are saved in multiple data centers. The message that fails to deliver a message will be saved and sent again. Allows you to send messages to subscribers using multiple protocols with one messaging request. You can isolate data by topic. Unauthorized users can't access your message queues, which ensures service security. You can use messages to connect cloud services. This will allow you to achieve system decoupling and ensure reliability. Not all messages will be affected if one service goes down. Connects cloud services and automatically invokes them through messages.

Event Grid simplifies event-based apps. It is a single service that manages all events from any source to any destination. Event Grid is designed to be highly available, consistent in performance, and dynamically scale. This allows you to focus on your app logic, rather than infrastructure. Eliminate polling and the associated cost- and latency. Event Grid allows event publishers to be decoupled with event subscribers through a pub/sub model. This allows you to create scalable, serverless, microservices and distributed systems. You can gain massive scale dynamically while receiving near-real-time notifications about any changes that you are interested in. Reactive programming allows you to build better and more reliable applications, taking advantage of guaranteed event delivery and high availability in the cloud. Connect multiple sources and destinations of events to create richer applications.

All your ELT data pipelines, including custom ones, will be up and running in minutes. Your team can focus on innovation and insights. Unify all your data integration pipelines with one open-source ELT platform. Airbyte can meet all the connector needs of your data team, no matter how complex or large they may be. Airbyte is a data integration platform that scales to meet your high-volume or custom needs. From large databases to the long tail API sources. Airbyte offers a long list of connectors with high quality that can adapt to API and schema changes. It is possible to unify all native and custom ELT. Our connector development kit allows you to quickly edit and create new connectors from pre-built open-source ones. Transparent and scalable pricing. Finally, transparent and predictable pricing that scales with data needs. No need to worry about volume. No need to create custom systems for your internal scripts or database replication.

Cloud Foundry and Kubernetes support microservice-based streaming and batch processing. Spring Cloud Data Flow allows you to create complex topologies that can be used for streaming and batch data pipelines. The data pipelines are made up of Spring Boot apps that were built using the Spring Cloud Stream and Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a variety of data processing use cases including ETL, import/export, event streaming and predictive analytics. Spring Cloud Data Flow server uses Spring Cloud Deployer to deploy data pipelines made from Spring Cloud Stream and Spring Cloud Task applications onto modern platforms like Cloud Foundry or Kubernetes. Pre-built stream and task/batch starter applications for different data integration and processing scenarios allow for experimentation and learning. You can create custom stream and task apps that target different middleware or services using the Spring Boot programming model.

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 provides a stream of real time data from event sources like Pagerduty, Datadog, and Zendesk. It routes that data to AWS Lambda. To build applications that respond in real-time to all your data sources, you can set up routing rules. EventBridge makes it easy for you to create event-driven apps. It handles event ingestion, delivery, authorization, security, and error handling. Your applications will become more interconnected by events. You need to spend more time finding and understanding the structure of events in order to write code that reacts to them.

Axon Server can be downloaded for free to get you started quickly and easily. Other options are available to provide the functionality and assurance you need for serious enterprise deployments. Enterprise functionality adds SLA support, clustering and monitoring features, and integration to the free Axon server - ensuring that your application is ready for deployment in enterprise environments. Expansion packs for security and compliance are available, as well as global multi-datacenter deployments and big-data apps. Microservices systems often come with complex configuration management. It is time-consuming and error prone to set up message routing and service discovery correctly. Axon Server removes this complexity. It is built specifically for this purpose and performs service discovery, message routing and message routing without any configuration. It just works.

Distributed messaging systems like Kafka or Pulsar provide modern Pub/Sub infrastructure that is well-suited to today's data-intensive apps. Pravega, which is a cloud-native streaming platform, further enhances this popular programming system. It allows for a wider range of applications and enables a wider variety of programming models. Pravega streams are resilient, consistent, and elastic while natively supporting long term data retention. Pravega solves architecture problems that previous topic-based systems Kafka or Pulsar failed to solve. For example, auto-scaling partitions or maintaining high performance across large numbers of partitions. It increases the number of supported applications by efficiently handling small events such as IoT as well as larger data such as video for computer vision/video analysis. Pravega provides abstractions beyond streams that allow for the replication of application state and storage key-value pairs.

Unified stream and batch data processing that is serverless, fast, cost-effective, and low-cost. Fully managed data processing service. Automated provisioning of and management of processing resource. Horizontal autoscaling worker resources to maximize resource use Apache Beam SDK is an open-source platform for community-driven innovation. Reliable, consistent processing that works exactly once. Streaming data analytics at lightning speed Dataflow allows for faster, simpler streaming data pipeline development and lower data latency. Dataflow's serverless approach eliminates the operational overhead associated with data engineering workloads. Dataflow allows teams to concentrate on programming and not managing server clusters. Dataflow's serverless approach eliminates operational overhead from data engineering workloads, allowing teams to concentrate on programming and not managing server clusters. Dataflow automates provisioning, management, and utilization of processing resources to minimize latency.

Google Cloud Pub/Sub: Delivery of messages in large quantities with push and pull modes. Auto-scaling, auto-provisioning, support from zero to hundreds GB/second Independent quota and billing are available for subscribers and publishers. Multi-region systems can be simplified by global message routing High availability made easy: Ensure reliable delivery at all scales with synchronous, cross-zone message replication. Auto-everything, no-planning Auto-scaling, auto-provisioning without partitions eliminates the need for planning and ensures that workloads are ready for production from day one. Advanced features built in: Filtering, dead letter delivery, and exponential backoff all help to simplify your applications

CoreDX DDS provides an easy-to-use Inter-Process Communication library (IPC), which is cross-platform and cross-language. CoreDX DDS has low overhead and high performance, with low latencies to support real-time controls and high message throughputs to support high bandwidth data. CoreDX DDS offers secure, robust and flexible data communications. CoreDX DDS, based on open standards to ensure interoperability and viability over the long term, is the preferred IPC of a wide range of distributed software applications, from mobile games, consumer electronic devices, and health care applications to complex DoD systems and robots in space. CoreDX DDS is popular among programmers because it's easy to use, has many features that are difficult to implement manually, and offers unique features not found in any other IPC library. CoreDX DDS offers programmers features such as integrated end-toend security, data storage and filtering, data presentation and event notification options.

IBM® StreamSets allows users to create and maintain smart streaming data pipelines using an intuitive graphical user interface. This facilitates seamless data integration in hybrid and multicloud environments. IBM StreamSets is used by leading global companies to support millions data pipelines, for modern analytics and intelligent applications. Reduce data staleness, and enable real-time information at scale. Handle millions of records across thousands of pipelines in seconds. Drag-and-drop processors that automatically detect and adapt to data drift will protect your data pipelines against unexpected changes and shifts. Create streaming pipelines for ingesting structured, semistructured, or unstructured data to deliver it to multiple destinations.

Lightbend technology allows developers to quickly build data-centric applications that can handle the most complex, distributed applications and streaming data streams. Lightbend is used by companies around the world to address the problems of distributed, real-time data to support their most important business initiatives. Akka Platform is a platform that makes it easy for businesses build, deploy, manage, and maintain large-scale applications that support digitally transformational initiatives. Reactive microservices are a way to accelerate time-to-value, reduce infrastructure costs, and lower cloud costs. They take full advantage the distributed nature cloud and are highly efficient, resilient to failure, and able to operate at any scale. Native support for encryption, data destruction, TLS enforcement and compliance with GDPR. Framework to quickly build, deploy and manage streaming data pipelines.

Only Oracle SOA can move existing, on-premises applications and composite applications to cloud as-is. It also offers the ability for modern integrations to be created with Oracle Integration. Automating data flow across Oracle, third-party and custom applications can improve productivity and reduce retyping errors. Client services can be isolated for application interactions to increase business agility and reduce support costs. To optimize security, cost, regulatory requirements, and security, select integrations can be deployed on-premises and in the cloud. For modern connectivity, leverage your service-oriented style of automation expertise and shift development to Oracle Integration. Automating administrative operations like backup, restore, scaling, and high availability can reduce complexity and errors and increase agility.

MQTT Broker was created with passion to help you deploy and scale your IoT applications. REST API, dashboard, widgets, complete data storage & more. Quick snapshot of IoT devices with client disconnect and connection. The most important data is visualized using widgets on multiple dashboards. Alerts and coloured notations are available for different value-based triggers. Rules engine to transform MQTT messages for efficient M2M communication automation. Event- and timer-based rules to create actions and match data. Secure publish and subscribe messaging model with two layers of security for device communication. This includes SSL / TLS connectivity and device authentication with Username/ Password as an additional layer. Web security for data view. Multiple message brokers can be set up in Broker High availability mode to simultaneously collect and publish messages from multiple devices. This makes data collection possible with 99.99% success, regardless of the software.

IBM®, Messages for RabbitMQ (IBM Cloud®, supports multiple messaging protocols as an agent. It allows you to route, track, and queue messages with customizable persistence settings, 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 allows you to bring your own encryption keys. Each deployment supports private networking, auditing in-database, and many other features. Messages for RabbitMQ allow you to scale disk or RAM to meet your needs. You can easily grow with elasticity by calling an API. The service is compatible to RabbitMQ data formats, APIs, and clients. Messages for RabbitMQ can be used as an alternative to RabbitMQ. The standard configuration has three data members that are high-availability. Multiple availability zones are used for deployments.