Alternatives to Red Hat OpenShift Streams

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.

Cloud-based solution for observability that helps businesses manage and track workload and performance through a single dashboard. Monitor all the services you run on your cloud without compromising cost, granularity or scale. Groundcover is a cloud-native APM solution that makes observability easy so you can focus on creating world-class products. Groundcover's proprietary sensor unlocks unprecedented granularity for all your applications. This eliminates the need for costly changes in code and development cycles, ensuring monitoring continuity.

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.

Kubernetes is the platform for big ideas. The leading enterprise container platform, hybrid cloud, empowers developers to innovate faster and ship more products. Red Hat OpenShift automates installation, upgrades, lifecycle management, and lifecycle management for the entire container stack, including Kubernetes, cluster services, and applications. It can be used on any cloud. Red Hat OpenShift allows teams to build with speed, agility and confidence. You can code in production mode wherever you choose to build. Do the important work. Red Hat OpenShift focuses on security at all levels of the container stack as well as throughout the application lifecycle. It includes enterprise support from one the most prominent Kubernetes contributors as well as open source software companies.

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.

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.

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.

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.

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.

Professional applications can be built to automate workflows, monitor operations continuously, and control processes in real time. Your solutions can run 24/7 on servers at the edge and in the cloud. The spreadsheet user interface makes it easy to create software without being a programmer. Instead of writing program code you can drag-and-drop data and fill cells with formulas to create charts in a way that you already know. You will find all the protocols you need to connect sensors and machines such as MQTT, OPC UA, and REST on board. Streamsheets is a native stream data processing tool like MQTT or kafka. You can grab a topic stream and transform it to broadcast it out into the endless streaming universe. REST gives you access to the world. Streamsheets allow you to connect to any web service, or let them connect to your site. Streamsheets can be run on your servers in the cloud, on your edge devices, or on your Raspberry Pi.

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.

The Open, Multi-Cloud Stack to Modern Data Apps. Built on Apache Cassandra™, an open-source Apache Cassandra™. Global scale and 100% uptime without vendor lock in You can deploy on multi-clouds, open-source, on-prem and Kubernetes. For a lower TCO, use elastic and pay-as you-go. Stargate APIs allow you to build faster with NoSQL, reactive, JSON and REST. Avoid the complexity of multiple OSS projects or APIs that don’t scale. It is ideal for commerce, mobile and AI/ML. Get building modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Richly interactive apps that are viral-ready and elastic using REST, GraphQL and JSON. Pay-as you-go Apache Cassandra DBaaS which scales easily and affordably

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.

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.

Conduktor is the all-in one interface that allows you to interact with the Apache Kafka ecosystem. You can confidently develop and manage Apache Kafka. Conduktor DevTools is the all-in one Apache Kafka desktop client. You can manage Apache Kafka confidently and save time for your whole team. Apache Kafka can be difficult to learn and use. Conduktor is loved by developers for its best-in-class user interface. Conduktor is more than an interface for Apache Kafka. Conduktor gives you and your team control over your entire data pipeline thanks to its integration with many technologies around Apache Kafka. It gives you and your team the most comprehensive tool for Apache Kafka.

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.

The Flowcore platform combines event streaming and event sourcing into a single service that is easy to use. Data flow and replayable data storage designed for developers in data-driven startups or enterprises that want to remain at the forefront of growth and innovation. All data operations are efficiently preserved, ensuring that no valuable data will ever be lost. Immediate transformations, reclassifications and loading of your data to any destination. Break free from rigid data structure. Flowcore's scalable architectural design adapts to your business growth and handles increasing volumes of data without difficulty. By streamlining and simplifying backend data processes, you can allow your engineering teams to focus on what they are best at, creating innovative products. Integrate AI technologies better, enhancing your products with smart data-driven solutions. Flowcore was designed with developers in mind but its benefits go beyond the dev team.

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.

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.

The Edge allows you to analyze and take action on your data. Big Data can be made small and relevant. All your assets can be used to collect sensor data. Connect any sensor, PLC or DCS and Historian. Condition monitoring of remote assets. Industry 4.0 data collection and integration Data flows can combine streaming and enterprise data. You can use your favorite Cloud Provider, or your own data centre for data storage. Crosser Edge MLOps functionality allows you to create, manage, and deploy your own ML models. Crosser Edge Node can run any ML framework. Crosser cloud central resource library for your trained model. Drag-and-drop is used for all other steps of the data pipeline. One operation is all it takes to deploy ML models on any number of Edge Nodes. Crosser Flow Studio enables self-service innovation. A rich library of pre-built modules is available. Facilitates collaboration between teams and sites. No more dependence on a single member of a team.

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.

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.

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

You can manage your data from the edge to the cloud with a simple, no-code approach to creating sophisticated streaming applications.

Spark Streaming uses Apache Spark's language-integrated API for stream processing. It allows you to write streaming jobs in the same way as you write batch jobs. It supports Java, Scala, and Python. Spark Streaming recovers lost work as well as operator state (e.g. Without any additional code, Spark Streaming recovers both lost work and operator state (e.g. sliding windows) right out of the box. Spark Streaming allows you to reuse the same code for batch processing and join streams against historical data. You can also run ad-hoc queries about stream state by running on Spark. Spark Streaming allows you to create interactive applications that go beyond analytics. Apache Spark includes Spark Streaming. It is updated with every Spark release. Spark Streaming can be run on Spark's standalone mode or other supported cluster resource mangers. It also has a local run mode that can be used for development. Spark Streaming uses ZooKeeper for high availability in production.

The industry's most comprehensive, API-driven, microservices-based, AI-powered enterprise iPaaS is here to help you go beyond the table. IICS is powered by the CLAIRE engine and supports any cloud-native patterns, including data, applications, API integration, MDM, and API integration. Our multi-cloud support and global distribution covers Microsoft Azure, AWS and Google Cloud Platform. Snowflake is also included. IICS has the industry's highest trust and enterprise scale, as well as the industry's highest security certifications. Our enterprise iPaaS offers multiple cloud data management products that can be used to increase productivity, speed up scaling, and increase efficiency. Informatica is a Leader in the Gartner 2020 Magic Quadrant Enterprise iPaaS. Informatica Intelligent Cloud Services reviews and real-world insights are available. Get our cloud services for free. Customers are our number one priority, across products, services, support, and everything in between. We have been able to earn top marks in customer loyalty 12 years running.

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.

IBM Cloud Pak For Integration®, a hybrid integration platform, is an automated, closed-loop system that supports multiple styles and types of integration in a single, unified experience. Connect cloud and on-premise apps to unlock business data and assets, securely move data with enterprise messaging, deliver event interactions, transfer data across all clouds, and deploy and scale with shared foundational services and cloud-native architecture. All this is done with enterprise-grade encryption and security. Automated, closed-loop, and multi-style integrations deliver the best results. Targeted innovations can be used to automate integrations. These include natural language-powered flows, AI-assisted maps and RPA. You can also use company-specific operational information to continuously improve integrations and API test generation. Workload balancing can also be achieved.

Akka is a toolkit that allows you to build highly concurrent, distributed and resilient message-driven Java and Scala applications. Akka Insights, an intelligent monitoring and observability tool, is specifically designed for Akka. Actors and streams allow you to build systems that scale up by using more server resources and out by using multiple servers. You can build systems that self-heal and remain responsive to failures by using the principles of The Reactive Manifesto Akka. Distributed systems that are resilient to failure. Load balancing across nodes and adaptive routing. Cluster Sharding is used for event sourcing and CQRS. Distributed Data to ensure eventual consistency with CRDTs Backpressure and asynchronous stream processing. A great platform for microservice development is the fully async streaming HTTP server and client. Alpakka streams integrations.

We know how simple Apache Kafka®, can be when you have the right tools. kPow was created to simplify the Kafka development experience and save businesses time and money. kPow makes it easy to find the root cause of production problems in a matter of clicks and not hours. With kPow's Data Inspect and kREPL functions, you can search tens of thousands messages per second. Are you new to Kafka kPow's Kafka UI is unique and allows developers to quickly understand the core Kafka concepts. You can upskill new members of your team and increase your Kafka knowledge. kPow offers a range of Kafka management features and monitoring capabilities in a single Docker Container. You can manage multiple clusters and schema registries. Connect installs with one instance.

Aiven manages your open-source data infrastructure in the cloud so that you don't have. Developers can do what is best for them: create applications. We do what we love: manage cloud data infrastructure. All solutions are open-source. You can also freely transfer data between clouds and create multi-cloud environments. You will know exactly what you will be paying and why. We combine storage, networking, and basic support costs. We will keep your Aiven software up and running. We will be there to help you if there is ever an issue. In 10 minutes, you can deploy a service on Aiven. 1. Register now - No credit card information required 2. Select your open-source service and choose the region and cloud to deploy to it 3. Select your plan and get $300 in credit 4. Click "Create service" to configure your data sources

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.

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.

Instaclustr, the Open Source-as a Service company, delivers reliability at scale. We provide database, search, messaging, and analytics in an automated, trusted, and proven managed environment. We help companies focus their internal development and operational resources on creating cutting-edge customer-facing applications. Instaclustr is a cloud provider that works with AWS, Heroku Azure, IBM Cloud Platform, Azure, IBM Cloud and Google Cloud Platform. The company is certified by SOC 2 and offers 24/7 customer support.

Radicalbit Natural Analytics is a DataOps platform that enables Streaming Data Integration as well as Real-time Advanced Analytics. The easiest way to get data to the right people at the right time is the best. RNA offers users the latest technologies in self-service mode. It allows for real-time data processing and takes advantage of Artificial Intelligence solutions to extract value from data. It automates data analysis, which can be laborious. It also helps to communicate important insights and findings in easily understandable formats. You can respond quickly and effectively with real-time situational awareness. You can achieve new levels of efficiency, optimization, and ensure collaboration between siloed groups. You can monitor and manage your models from one central view. Then, deploy your evolving models in seconds. No downtime.

InfinyOn has created a programmable continuous Intelligence platform for data in motion. Infinyon Cloud, unlike other event streaming platforms built on Java is built on Rust. It delivers industry-leading scale and security for real time applications. Ready-to-use programmable connectors to shape data events in real time. Intelligent analytics pipelines can be created that automatically refine, protect, and corroborate events. To notify stakeholders and dispatch events, attach programmable connectors. Each connector can be used to either import or export data. Connectors can be deployed in one way: as a Managed Connector in which Fluvio cluster provision and manages the connector, or as a local connector in which you manually launch it as a Docker container wherever you want it. Connectors are conceptually divided into four stages, each with its own responsibilities.

Red Hat® OpenShift® Data Foundation--previously Red Hat OpenShift Container Storage--is software-defined storage for containers. Red Hat OpenShift Data Foundation is the data and storage platform for Red Hat OpenShift. It allows teams to quickly and efficiently deploy applications across clouds. Even developers with limited storage knowledge can provision storage directly from Red Hat OpenShift, without having to switch to a separate interface. To support all types of workloads created in enterprise Kubernetes, data can be formatted as files, blocks, and objects. Our technical experts will work with you to determine the best storage solution for your hybrid cloud and multicloud container deployments.

Nussknacker allows domain experts to use a visual tool that is low-code to help them create and execute real-time decisioning algorithm instead of writing code. It is used to perform real-time actions on data: real-time marketing and fraud detection, Internet of Things customer 360, Machine Learning inferring, and Internet of Things customer 360. A visual design tool for decision algorithm is an essential part of Nussknacker. It allows non-technical users, such as analysts or business people, to define decision logic in a clear, concise, and easy-to-follow manner. With a click, scenarios can be deployed for execution once they have been created. They can be modified and redeployed whenever there is a need. Nussknacker supports streaming and request-response processing modes. It uses Kafka as its primary interface in streaming mode. It supports both stateful processing and stateless processing.

Streaming data from operations and transactions is valuable when it is well-understood. SAS Event stream processing includes streaming data quality, analytics, and a vast array SAS and open-source machine learning and high frequency analytics for connecting to, deciphering and cleansing streaming data. It doesn't matter how fast your data moves or how many sources you pull from, all of it is under your control through a single, intuitive interface. You can create patterns and address situations from any aspect of your business, giving the ability to be agile and deal with issues as they arise.

IBM Storage for Red Hat OpenShift combines traditional and container storage to make it easier to deploy enterprise-class scale out microservices architectures. Valid for Red Hat OpenShift Kubernetes, IBM Cloud Pak and Red Hat OpenShift. For an integrated experience, it simplifies deployment and management. Red Hat OpenShift environments provide enterprise data protection, automated scheduling, data reuse support, and enterprise data protection. You can block, file, and object data resources. You can quickly deploy what you need, when you need it. IBM Storage for Red Hat OpenShift offers the infrastructure foundation and storage orchestration required to build a robust, agile hybrid cloud environment. IBM supports CSI in its block and file storage families to increase container utilization in Kubernetes environments.

Azure Red Hat OpenShift is a highly available, fully-managed OpenShift Cluster on Demand, monitored and operated by Microsoft and Red Hat jointly. Red Hat OpenShift is built around Kubernetes. OpenShift adds value to Kubernetes by bringing additional features, making it an integrated container platform as a Service (PaaS), with a significantly enhanced developer and operator experience. Highly available, fully-managed public and private clusters. Automated operations. Over-the-air platform updates. Use the web console's enhanced user interface to build, deploy and configure containerized applications, as well as cluster resources.

StreamSets DataOps Platform. An end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps.

SiteWhere infrastructure and Microservices can be deployed on Kubernetes on-premises or on almost any cloud provider. Infrastructure is provided by Apache Kafka, Zookeeper and Hashicorp Consul configured in highly-available configurations. Each microservice scales independently, and integrates itself automatically. Complete multitenant IoT eco-system including device management, big data event storing, REST APIs and data integration. Distributed architecture with Java microservices on Docker infrastructure and Apache Kafka processing pipeline. SiteWhere CE is open source and will always be free for both private and commercial use. The SiteWhere team provides free basic support as well as a constant stream of new features.

Tray.io, an API integration platform, allows users to innovate and automate their organization without the need for developer resources. Tray.io allows users to connect the entire cloud stack themselves. Tray.io's visual workflow editor allows users to easily create and streamline processes. Tray.io empowers users' employees with automated processes. The intelligence behind the first iPaaS, which anyone can use to complete their business processes by using natural language instructions. Tray.io, a low-code platform for automation, is designed to be used by both technical and non-technical users. It allows them to create sophisticated workflows that allow data movement and actions between multiple applications. Our low-code tool and the new Merlin AI platform transform the automation process. They combine the power of flexible and scalable automation, support for advanced business logic and native AI capabilities that anyone can utilize.

Red Hat®, Virtualization is an enterprise virtualization platform which supports key virtualization workloads, including resource-intensive and crucial applications. It is built on Red Hat Enterprise Linux®, KVM and fully supported Red Hat. With a solid foundation, virtualize your resources, processes, applications, and ensure a cloud-native, containerized future. Automate, manage, modernize and modernize virtualization workloads. Red Hat Virtualization automates daily operations and manages your VMs in Red Hat OpenShift. This uses the Linux®, skills your team already has and will continue to use for future business needs. Red Hat Enterprise Linux, Red Hat Ansible Automation Platform and Red Hat OpenStack® Platform are integrated to create a platform and partner solution that improves IT productivity and drives a higher return.

Red Hat OpenShift is now available on IBM Cloud. This provides OpenShift developers with a fast and secure method to containerize and deploy enterprise workloads within Kubernetes clusters. OpenShift Container Platform (OCP) is managed by IBM so you can focus on your core tasks. Automated provisioning, configuration and installation of infrastructure (compute and network storage), as well as configuration and installation of OpenShift. Automatic scaling, backups, and failure recovery for OpenShift configurations. Automated upgrades of all components (operating systems, OpenShift components and cluster services), as well as performance tuning and security hardening. Security features include image signing, image deployment enforcement and hardware trust. Also, security patch management and compliance (HIPAA PCI, SOC2, ISO).

Transform your data into a live stream that is immediately available and ready for use. Leo makes event sourcing simpler by making it easy for you to create, visualize and monitor your data flows. You no longer have to be restricted by legacy systems once you unlock your data. Your developers and stakeholders will be happy with the dramatically reduced development time. Microservice architectures can be used to innovate and increase agility. Microservices are all about data. To make microservices a reality, an organization must have a reliable and repeatable backbone of data. Your custom app should support full-fledged searching. It won't be difficult to add and maintain a search database if you have the data.

AI-powered Informatica Data Engineering streaming allows data engineers to ingest and process real-time streaming data in order to gain actionable insights.

You can quickly collect, process, analyze, and analyze video and data streams. Amazon Kinesis makes it easy for you to quickly and easily collect, process, analyze, and interpret streaming data. Amazon Kinesis provides key capabilities to process streaming data at any scale cost-effectively, as well as the flexibility to select the tools that best fit your application's requirements. Amazon Kinesis allows you to ingest real-time data, including video, audio, website clickstreams, application logs, and IoT data for machine learning, analytics, or other purposes. Amazon Kinesis allows you to instantly process and analyze data, rather than waiting for all the data to be collected before processing can begin. Amazon Kinesis allows you to ingest buffer and process streaming data instantly, so you can get insights in seconds or minutes, instead of waiting for hours or days.

Scalable Python framework designed to build real-time intelligent applications, data pipelines, and integrate AI/ML models