Alternatives to Solace PubSub+

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

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.

The only platform that can handle all aspects of data pipeline. Gathr was built from the ground up to support a cloud-first world. It is the only platform that can handle all your data integration needs - ingestion and ETL, ELT and CDC, streaming analytics and data preparation, machine-learning, advanced analytics, and more. Gathr makes it easy for anyone to build and deploy pipelines, regardless of their skill level. Ingestion pipelines can be created in minutes and not weeks. You can access data from any source and deliver it to any destination. A wizard-based approach allows you to quickly build applications. A templatized CDC app allows you to replicate data in real time. Native integration for all sources. All the capabilities you need to succeed today or tomorrow. You can choose between pay-per-use, free, or customized according to your needs.

Data integration for hybrid clouds Modern, reliable data integration across both your private cloud and public cloud. All this in real-time, with change data capture and streams. Striim was developed by the executive and technical team at GoldenGate Software. They have decades of experience in mission critical enterprise workloads. Striim can be deployed in your environment as a distributed platform or in the cloud. Your team can easily adjust the scaleability of Striim. Striim is fully secured with HIPAA compliance and GDPR compliance. Built from the ground up to support modern enterprise workloads, whether they are hosted in the cloud or on-premise. Drag and drop to create data flows among your sources and targets. Real-time SQL queries allow you to process, enrich, and analyze streaming data.

Anypoint MQ allows advanced asynchronous messaging, such as queueing or pub/sub, with fully hosted and managed cloud messages queues and exchanges. Anypoint MQ is a service of Anypoint Platform™ and supports environments, business groups, role-based access control, and enterprise-grade functionality.

You can analyze, query, and then act at lightning speed on IoT data and other streaming data. Intelligent applications allow you to take real-time operations and analytics up a notch with fast deployments that can be used to quickly take action based on new models and decisions. TIBCO®, Streaming software provides enterprise-grade streaming analytics that can be used in the cloud to quickly build real-time applications. It is much less expensive than other options and has a lower risk.

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.

Ably is a pub/sub messaging platform that is enterprise-ready. Our platform makes it simple to quickly design, ship, and seamlessly scale critical realtime functionality directly to end-users. Every day, we deliver billions in real-time messages to millions of users and thousands of companies. We power the apps people, companies, and enterprises rely on every day. This includes Lightspeed System's realtime platform for device management for more than seven million school-owned devices, Vitac’s live captioning for 100s to millions of multilingual viewers for events such as the Olympic Games, Split's realtime feature flagging, which allows for one trillion feature flags each month. We are the only pub/sub platform that offers a complete suite of integrated services. This includes showing drivers' GPS locations on a home-delivery app and loading the most recent score when opening sports apps. It also handles reconnections when switching networks.

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

High-performing applications need real-time information exchange. This is exactly what TIBCO Cloud™, Messaging software offers. We offer multiple options including Apache Kafka and Apache Pulsar, TIBCO Enterprise Message Services™, TIBCO FLL® or TIBCO eFTL™ software. Whether you need event-driven application integration, high-performance, low latency messaging, connections for web apps and backend systems, or IoT integration, the simple yet robust TIBCO cloud messaging client API and cloud distribution network are the best options. TIBCO Cloud Messaging software offers fault tolerance, multi-zone reliability, and scalable performances. It allows you to concentrate on your application logic and not have to worry about infrastructure or containers being deployed for your event streams. Connect your apps to the API to immediately publish and subscribe to event messages.

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.

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.

The digital age will see billions of people, devices, and systems interact in real time, creating new and disruptive competitive advantages. How can you play there? You can experiment, learn, and rapidly evolve by building distributed, stateful, rule based event-processing platforms. Data is constantly arriving from hundreds of sources, both internal and external. It has a shelf-life and its value decreases over time. TIBCO allows you to jump-start big data processing projects that allow you to sense, reason and respond. This is a different approach than the traditional store analysis, report, act approach. Multiple rule authoring environments allow for collaboration between IT professionals and business professionals.

StreamNative redefines the streaming infrastructure by integrating Kafka MQ and other protocols into a unified platform that provides unparalleled flexibility and efficiency to modern data processing requirements. StreamNative is a unified platform that adapts to diverse streaming and messaging requirements in a microservices environment. StreamNative's comprehensive and intelligent approach to streaming and messaging empowers organizations to navigate with efficiency and agility the complexity and scalability in the modern data ecosystem. Apache Pulsar’s unique architecture decouples message storage from the message serving layer, resulting in a cloud-native data streaming platform. Scalable and elastic, allowing it to adapt to changing business needs and event traffic. Scale up to millions of topics using architecture that decouples computing from storage.

TIBCO Enterprise Message ServiceTM, our standards-based Java™, Message Service (JMS), broker, allows any application that supports JMS to quickly and easily exchange messages. Compatibility with other applications is assured by being fully certified with the JMS 1.1 & 2.0 specifications. A loosely coupled design also allows for lower overhead, time and cost. It is part of TIBCO®, Messaging and supports seamless integration for heterogeneous platform, reduces system bottlenecks and increases scalability. It also helps you respond quicker to change.

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.

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.

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.

Allow everyone to view and discover streaming data. Up to 95% of productivity can be increased by sharing, documenting, and cataloging data. Next, create apps for production use cases using the data. To address privacy concerns and cover all the gaps in open source technology, apply a data-centric security approach. Secure and low-code data pipeline capabilities. All darkness is eliminated and data and apps can be viewed with unparalleled visibility. Unify your data technologies and data meshes and feel confident using open source production. Independent third-party reviews have rated Lenses the best product for real time stream analytics. We have built features to allow you to focus on what is driving value from real-time data. This was based on feedback from our community as well as thousands of engineering hours. You can deploy and run SQL-based real-time applications over any Kafka Connect, Kubernetes or Kubernetes infrastructure, including AWS EKS.

Streaming service is a streaming service that allows developers and data scientists to stream real-time events. It is serverless and Apache Kafka compatible. Streaming can be integrated with Oracle Cloud Infrastructure, Database, GoldenGate, Integration Cloud, and Oracle Cloud Infrastructure (OCI). The service provides integrations for hundreds third-party products, including databases, big data, DevOps, and SaaS applications. Data engineers can easily create and manage big data pipelines. Oracle manages all infrastructure and platform management, including provisioning, scaling and security patching. Streaming can provide state management to thousands of consumers with the help of consumer groups. This allows developers to easily create applications on a large scale.

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.

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.

Amazon MQ is a managed messaging broker service for Apache ActiveMQ. It makes it easy to create and manage message brokers in the Cloud. Message brokers allow multiple software systems to communicate and exchange information, even though they may use different programming languages and platforms. Amazon MQ helps reduce your operational burden by managing ActiveMQ, an open-source message broker, provisioning, setup and maintenance. It uses industry-standard protocols and APIs for messaging to connect your existing applications to Amazon MQ. These include JMS, NMS and AMQP. Standardization means that you don't have to rewrite any message code in most cases when migrating to AWS.

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.

Apache Kafka is a fully managed service that offers zero vendor lock-in, as well as all the capabilities you need to build your streaming infrastructure. You can easily set up fully managed Kafka within 10 minutes using our web console, or programmatically through our API, CLI or Terraform provider. Connect it to your existing tech stack using over 30 connectors. You can feel confident in your setup thanks to the service integrations that provide logs and metrics. Fully managed distributed data streaming platform that can be deployed in any cloud. Event-driven applications, near real-time data transfer and pipelines and stream analytics are all possible uses for this platform. Aiven's Apache Kafka is hosted and managed for you. You can create clusters, migrate clouds, upgrade versions, and deploy new nodes all with a single click. All this and more through a simple dashboard.

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.

ejabberd XMPP servers simplify critical administration and key usage statistics with an easy-to use and customizable management module for administrators. ejabberd XMPP's server statistics module can be used with Nagios (the industry standard IT infrastructure monitoring tool). ejabberd XMPP supports more interaction with the browser, web app, and facilitates real-time messaging. WebSockets allow you to seamlessly send and get messages from any browser tab. BOSH is available as a fallback to XMPP server connections. ejabberd XMPP Server mobile reliability layer manages mobile network's disconnection and message deliveries, consistent conversation across any online device, IoT chat server, IM service, push notifications, and mobile interfaces.

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.

ZeroMQ (also known by OMQ or 0MQ or zmq), looks like an embedded networking library, but acts as a concurrency platform. It provides sockets that can carry atomic messages across multiple transports, including TCP, multicast, in-process, and inter-process. You can connect sockets N to N with patterns such as fan-out, pubsub, task distribution and request-reply. It is fast enough to be used as the fabric for clustered goods. Its asynchronous I/O allows you to build multicore applications that are scalable and can be used for asynchronous message processing tasks. It supports a number of language APIs and runs on all operating systems.

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.

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.

Amazon MSK is a fully managed service that makes coding and running applications that use Apache Kafka for streaming data processing easy. Apache Kafka is an open source platform that allows you to build real-time streaming data applications and pipelines. Amazon MSK allows you to use native Apache Kafka APIs for populating data lakes, stream changes between databases, and to power machine learning or analytics applications. It is difficult to set up, scale, and manage Apache Kafka clusters in production. Apache Kafka clusters can be difficult to set up and scale on your own.

Red Hat®, OpenShift®, Streams for Apache Kafka provides a simplified developer experience for building, scaling, and modernizing cloud-native apps or upgrading existing systems. Red Hat OpenShift streams for Apache Kafka make it easy to create, discover and connect to real-time data stream no matter where they're deployed. Streams are essential for delivering event-driven or data analytics applications. The seamless operation of distributed microservices, large data transfers volumes, and managed operations allow teams to focus on their strengths, speed up value, and lower operating costs. OpenShift streams for Apache Kafka is part of the Red Hat OpenShift product range, which allows you to build a wide variety of data-driven solutions.

Apache Kafka®, with Confluent, has an infinite retention. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming allows you to innovate and win by being both highly-scalable and real-time. Ever wonder how your rideshare app analyses massive amounts of data from multiple sources in order to calculate real-time ETA. Wondering how your credit card company analyzes credit card transactions from all over the world and sends fraud notifications in real time? Event streaming is the answer. Microservices are the future. A persistent bridge to the cloud can enable your hybrid strategy. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. There are many other options.

Coreflux is a next-generation IoT platform that emphasizes seamless integration, scalability and security. At its core: MQTT Broker is the platform's backbone. It facilitates real-time data communication and management between devices, regardless of protocol or manufacturer. Flux DSL is a proprietary domain-specific programming language that allows users to create event-driven workflows and orchestrate sophisticated IoT scenarios. Asset Management (Flux Assets), Manages a wide range of IoT Assets, from sensors to databases. Ensures optimal configuration and performance. Coreflux's integrated tools allow for precise orchestration of devices, workflows and automations. Coreflux is a flexible IoT management platform that can be used by IoT enthusiasts, enterprises, and developers. It can manage a small number of devices or networks with thousands.

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

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.

Pro Edition for Eclipse Mosquitto is a pro version of the world's #1 MQTT broker that quickly, stably, and reliably transmits data between IoT devices. Compared to the popular open-source version, Pro Mosquitto offers professional MQTT broker and client administration and monitoring, MQTT High Availability, MQTT and REST API access, improved reliability, enhanced security, and professional support, making it an ideal solution for commercial use. Benefits: Performance: Benefit from the low usage of computing resources and easily maintain up to 1 million concurrent connections. Pro Mosquitto is written in C, which makes it even more lightweight and efficient than competitors. In addition, it can run on very low-spec embedded devices, e.g., single-core 600MHz ARM and 128MB RAM. Reliable and trusted by the global dev community: The product is a pro version of the most popular open-source MQTT broker with more than 500 million docker pulls worldwide, powered by up to 99.99% SLA to ensure business continuity. Professional services and support: Our team can help you solve any issue, ensuring your project's successful implementation and maintenance. In addition, one can also request us to provide them with professional services

Data distribution is an essential part of your digital infrastructure. It can be used for cloud, mobile, enterprise, and IoT purposes throughout your organization. TIBCO has been a leader in high-performance messaging technology for more than 25 years. Today, we offer the most complete messaging portfolio to suit a variety of use cases and deployments. TIBCO Messaging forms the basis of the TIBCO®, Connected Intelligence platform. It makes data available in real-time wherever it's found and makes it available to applications that take action based upon analytical insights. You've found the best messaging platform available. TIBCO Messaging provides the most comprehensive messaging platform in a single, seamless integrated platform. You can access peer-to-peer, fully distributed, high-performance messaging, certified JMS messaging, and open source messaging that supports Apache Kafka®, Apache Pulsar®, or MQTT.

Apache ActiveMQ®, a Java-based, open-source, multi-protocol message broker, is one of the most popular. It supports industry-standard protocols, so users can enjoy the benefits of client options across a wide range of languages and platforms. Connect to clients written in JavaScript and C++. Use the ubiquitous AMQP protocol to integrate multi-platform applications. Use STOMP over websockets to exchange messages between web applications. Manage your IoT devices using MQTT. Support your existing JMS infrastructure, and more. ActiveMQ has the flexibility and power to support any messaging use case. There are currently two ActiveMQ flavors available: the well-known "classic broker" and the "next-generation" broker code-named Artemis. Artemis will be the next major ActiveMQ version once it reaches sufficient feature parity with its "Classic" code base. Artemis has an initial migration document and a development roadmap.

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

TIBCO Rendezvous®, which offers a wide range of features, is the ideal platform to distribute high-speed data using a distributed daemon-based peer–to-peer architecture that eliminates bottlenecks. Ensure efficiency throughout your organization by relying on one of the most widely supported, supported, and proven low latency messaging solutions. A dynamic, source-based routing protocol is efficient and fast. It also makes it easy to set up and minimizes integration-driven traffic when cross-system requirements grow. You can maximize uptime by choosing the right quality of service, including reliable delivery or guaranteed delivery to eliminate bottlenecks. This flexibility and built-in load balancer give you the ability to create the middleware messaging system that you need to make your digital business successful.

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.

AWS IoT Core allows you to connect IoT devices directly to the AWS cloud without having to manage or provision servers. AWS IoT Core supports billions of devices and trillions in messages. It can process and route these messages to AWS endpoints as well as other devices securely and reliably. AWS IoT Core allows your applications to keep track of all your devices and communicate with them even when they're not connected. AWS IoT Core makes it easy for you to use AWS services such as Amazon Kinesis and Amazon SageMaker, Amazon DynamoDB and Amazon CloudWatch, Amazon CloudTrail, Amazon QuickSight and Amazon CloudWatch. This allows you to create IoT applications that collect, process, analyze, and act upon data generated from connected devices without the need to manage any infrastructure. AWS IoT Core lets you connect any number devices to the cloud, and to other devices, without having to manage servers.

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.

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.

DeltaStream is an integrated serverless streaming processing platform that integrates seamlessly with streaming storage services. Imagine it as a compute layer on top your streaming storage. It offers streaming databases and streaming analytics along with other features to provide an integrated platform for managing, processing, securing and sharing streaming data. DeltaStream has a SQL-based interface that allows you to easily create stream processing apps such as streaming pipelines. It uses Apache Flink, a pluggable stream processing engine. DeltaStream is much more than a query-processing layer on top Kafka or Kinesis. It brings relational databases concepts to the world of data streaming, including namespacing, role-based access control, and enables you to securely access and process your streaming data, regardless of where it is stored.

Digital businesses need to design applications that enable them to be proactive, not reactive. This requires the ability of processing large amounts of data in real-time to identify meaningful events and allow for the business to influence the outcome. TIBCO Cloud™, Events service is a cloud-native tool for improving business results by detecting key events, and automating the next most effective action. You can create declarative rules without having to worry about the plumbing. Identify and capture key business conditions and automate actions. The execution and matching of relevant data is handled by TIBCO Cloud Event service.

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.

We provide a geo-distributed, real-time database, stream processing, and compute runtime for event driven applications across up to 175 global edge data centers. Our platform is loved by API and app developers because it solves the most difficult problems of sharing mutable states across hundreds of locations around the world. We also have high consistency and low latency. Macrometa allows you to surgically expand your existing infrastructure to bring your application closer to your users. This allows you to improve performance and user experience, as well as comply with global data governance laws. Macrometa is a streaming, serverless NoSQL database that can be used for stream data processing, pub/sub, and compute engines. You can create stateful data infrastructure, stateful function & containers for long-running workloads, and process data streams real time. We do the ops and orchestration, you write the code.