Alternatives to IBM Event Automation

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

EventTitans is an event management and engagement platform that can host virtual, in-person or hybrid events. You can host many events including business/corporate events and fundraisers, galas, social events, auctions, tradeshows, and more. We offer exceptional pre-event self-onboarding and cancellation processes to speakers, sponsors, and attendees. This allows us to stand out from the rest and reduces administrative work and expenses. Our event ticketing website provides all information about the event as well as pre-event engagement features. This starts the journey of an attendee. We are a one-stop event platform for hybrid events, offering self-check-in with badge printing as well as 3D virtual experiences for virtual attendees. We are a sponsor-centric platform that offers more than 10 engagement features, as well as a lead generation magnet with video chats.

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.

IBM Event Streams is a comprehensive event streaming service based on Apache Kafka, aimed at assisting businesses in managing and reacting to real-time data flows. It offers features such as machine learning integration, high availability, and secure deployment in the cloud, empowering organizations to develop smart applications that respond to events in real time. The platform is designed to accommodate multi-cloud infrastructures, disaster recovery options, and geo-replication, making it particularly suitable for critical operational tasks. By facilitating the construction and scaling of real-time, event-driven solutions, IBM Event Streams ensures that data is processed with speed and efficiency, ultimately enhancing business agility and responsiveness. As a result, organizations can harness the power of real-time data to drive innovation and improve decision-making processes.

EventBridge serves as a serverless event bus that integrates various Alibaba Cloud services, custom applications, and SaaS solutions into a unified platform. It utilizes the CloudEvents 1.0 specification to facilitate the routing of events between these different services and applications. By leveraging EventBridge, developers can construct loosely coupled, distributed event-driven architectures effectively. The service offers extensive management features for event rules, allowing users to create, modify, and query rules, as well as activate or deactivate them as needed. Additionally, it accommodates a continually expanding array of events from Alibaba Cloud services. With its region-specific, cross-zone distributed architecture, EventBridge ensures robust disaster recovery capabilities and boasts an impressive service uptime of up to 99.95%. Moreover, it incorporates event governance functionalities that enable flow control, replay, and retry policies for events, enhancing overall event management and reliability. This makes EventBridge a versatile solution for organizations looking to implement scalable and resilient event-driven systems.

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It allows for the scaling of production clusters to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data across hundreds of thousands of partitions. The system provides the flexibility to seamlessly expand or reduce storage and processing capabilities. It can efficiently stretch clusters over various availability zones or link distinct clusters across different geographical regions. Users can process streams of events through a variety of operations such as joins, aggregations, filters, and transformations, with support for event-time and exactly-once processing guarantees. Kafka features a Connect interface that readily integrates with numerous event sources and sinks, including technologies like Postgres, JMS, Elasticsearch, and AWS S3, among many others. Additionally, it supports reading, writing, and processing event streams using a wide range of programming languages, making it accessible for diverse development needs. This versatility and scalability ensure that Kafka remains a leading choice for organizations looking to harness real-time data streams effectively.

Axual serves as a Kafka-as-a-Service tailored for DevOps teams, empowering them to gain insights and make informed decisions through our user-friendly Kafka platform. For enterprises aiming to effortlessly incorporate data streaming into their foundational IT systems, Axual presents the ultimate solution. Our comprehensive Kafka platform is crafted to remove the necessity for in-depth technical expertise, offering an out-of-the-box solution that provides all the advantages of event streaming without the complications that typically accompany it. The Axual Platform stands as a complete solution, specifically designed to streamline and improve the deployment, management, and application of real-time data streaming using Apache Kafka. By offering a diverse range of features that address the varying requirements of contemporary enterprises, the Axual Platform allows organizations to fully leverage the capabilities of data streaming while significantly reducing complexity and operational burdens. This innovative approach not only simplifies processes but also empowers teams to focus on strategic initiatives.

Apache Kafka can be utilized as a comprehensive managed service that ensures no vendor lock-in and provides all the necessary features to construct your streaming pipeline effectively. You can establish fully managed Kafka in under ten minutes using our web interface or programmatically through various methods such as our API, CLI, Terraform provider, or Kubernetes operator. Seamlessly integrate it with your current technology stack using more than 30 connectors, while maintaining peace of mind with logs and metrics readily available through the service integrations. This fully managed distributed data streaming platform is available for deployment in the cloud environment of your choice. It is particularly suited for event-driven applications, near-real-time data transfers, and data pipelines, as well as stream analytics and any scenario requiring rapid data movement between applications. With Aiven's hosted and fully managed Apache Kafka, you can easily set up clusters, deploy new nodes, migrate between clouds, and upgrade existing versions with just a click, all while being able to monitor everything effortlessly through an intuitive dashboard. This convenience and efficiency make it an excellent choice for developers and organizations looking to optimize their data streaming capabilities.

Google Cloud's Managed Service for Apache Kafka is an efficient and scalable solution that streamlines the deployment, oversight, and upkeep of Apache Kafka clusters. By automating essential operational functions like provisioning, scaling, and patching, it allows developers to concentrate on application development without the burdens of managing infrastructure. The service guarantees high reliability and availability through data replication across various zones, thus mitigating the risks of potential outages. Additionally, it integrates effortlessly with other Google Cloud offerings, enabling the creation of comprehensive data processing workflows. Security measures are robust, featuring encryption for both stored and transmitted data, along with identity and access management, and network isolation to keep information secure. Users can choose between public and private networking setups, allowing for diverse connectivity options that cater to different requirements. This flexibility ensures that businesses can adapt the service to meet their specific operational needs efficiently.

Event Hubs serves as a fully managed service for real-time data ingestion, offering simplicity, reliability, and scalability. It enables the streaming of millions of events per second from diverse sources, facilitating the creation of dynamic data pipelines that allow for immediate responses to business obstacles. In times of emergencies, you can continue processing data thanks to its geo-disaster recovery and geo-replication capabilities. The service integrates effortlessly with other Azure offerings, unlocking valuable insights. Additionally, existing Apache Kafka clients and applications can connect to Event Hubs without the need for code modifications, providing a managed Kafka experience without the burden of handling your own clusters. You can enjoy both real-time data ingestion and microbatching within the same stream, allowing you to concentrate on extracting insights from your data rather than managing infrastructure. With Event Hubs, you can construct real-time big data pipelines and swiftly tackle business challenges as they arise, ensuring your organization remains agile and responsive in a fast-paced environment.

StreamNative transforms the landscape of streaming infrastructure by combining Kafka, MQ, and various other protocols into one cohesive platform, which offers unmatched flexibility and efficiency tailored for contemporary data processing requirements. This integrated solution caters to the varied demands of streaming and messaging within microservices architectures. By delivering a holistic and intelligent approach to both messaging and streaming, StreamNative equips organizations with the tools to effectively manage the challenges and scalability of today’s complex data environment. Furthermore, Apache Pulsar’s distinctive architecture separates the message serving component from the message storage segment, creating a robust cloud-native data-streaming platform. This architecture is designed to be both scalable and elastic, allowing for quick adjustments to fluctuating event traffic and evolving business needs, and it can scale up to accommodate millions of topics, ensuring that computation and storage remain decoupled for optimal performance. Ultimately, this innovative design positions StreamNative as a leader in addressing the multifaceted requirements of modern data streaming.

Achieve limitless data retention for Apache Kafka® with Confluent, empowering you to be infrastructure-enabled rather than constrained by outdated systems. Traditional technologies often force a choice between real-time processing and scalability, but event streaming allows you to harness both advantages simultaneously, paving the way for innovation and success. Have you ever considered how your rideshare application effortlessly analyzes vast datasets from various sources to provide real-time estimated arrival times? Or how your credit card provider monitors millions of transactions worldwide, promptly alerting users to potential fraud? The key to these capabilities lies in event streaming. Transition to microservices and facilitate your hybrid approach with a reliable connection to the cloud. Eliminate silos to ensure compliance and enjoy continuous, real-time event delivery. The possibilities truly are limitless, and the potential for growth is unprecedented.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) simplifies the process of creating and operating applications that leverage Apache Kafka for handling streaming data. As an open-source framework, Apache Kafka enables the construction of real-time data pipelines and applications. Utilizing Amazon MSK allows you to harness the native APIs of Apache Kafka for various tasks, such as populating data lakes, facilitating data exchange between databases, and fueling machine learning and analytical solutions. However, managing Apache Kafka clusters independently can be quite complex, requiring tasks like server provisioning, manual configuration, and handling server failures. Additionally, you must orchestrate updates and patches, design the cluster to ensure high availability, secure and durably store data, establish monitoring systems, and strategically plan for scaling to accommodate fluctuating workloads. By utilizing Amazon MSK, you can alleviate many of these burdens and focus more on developing your applications rather than managing the underlying infrastructure.

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.

Amazon EventBridge serves as a serverless event bus that simplifies the integration of applications by utilizing data from your own systems, various Software-as-a-Service (SaaS) offerings, and AWS services. It provides a continuous flow of real-time data from event sources like Zendesk, Datadog, and PagerDuty, efficiently directing that information to targets such as AWS Lambda. By establishing routing rules, you can dictate the destination of your data, enabling the creation of application architectures that respond instantaneously to all incoming data sources. EventBridge facilitates the development of event-driven applications by managing essential aspects like event ingestion, delivery, security, authorization, and error handling on your behalf. As your applications grow increasingly interconnected through events, you may find that greater effort is required to discover and comprehend the structure of these events in order to effectively code responses to them. This can enhance the overall efficiency and responsiveness of your application ecosystem.

Google Cloud's Eventarc is a comprehensive, managed solution that empowers developers to establish event-driven architectures by channeling events from multiple sources to designated endpoints. It captures events generated within a system and forwards them to chosen destinations, promoting the development of loosely connected services that respond aptly to changes in state. Supporting events from a range of Google Cloud services, bespoke applications, and external SaaS providers, Eventarc offers significant versatility in designing event-driven applications. Developers have the capability to set up triggers that direct events to various endpoints, such as Cloud Run services, which enhances the responsiveness and scalability of application structures. Furthermore, Eventarc guarantees secure event transmission by incorporating Identity and Access Management (IAM), which facilitates meticulous access control over the processes of event ingestion and handling. This robust security feature ensures that only authorized users can manage events, thereby maintaining the integrity and confidentiality of the data involved.

Lightstreamer acts as an event broker that is finely tuned for the internet, providing a smooth and instantaneous flow of data across online platforms. In contrast to conventional brokers, it adeptly manages the challenges posed by proxies, firewalls, disconnections, network congestion, and the inherent unpredictability of web connectivity. Its advanced streaming capabilities ensure that real-time data delivery is maintained, always finding efficient and reliable pathways for your information. Lightstreamer's technology is not only well-established but also at the cutting edge, continually adapting to remain a leader in the field of innovation. With a solid history and extensive practical experience, it guarantees dependable and effective data transmission. Users can count on Lightstreamer to provide unmatched reliability in any situation, making it an invaluable tool for real-time communication needs. In an ever-evolving digital landscape, Lightstreamer stands out as a trusted partner for delivering data seamlessly.

Engaging applications captivate users while motivating developers to innovate. To meet the growing demands of the digital landscape, consider utilizing the DataStax Astra Streaming service platform. This cloud-native platform for messaging and event streaming is built on the robust foundation of Apache Pulsar. With Astra Streaming, developers can create streaming applications that leverage a multi-cloud, elastically scalable architecture. Powered by the advanced capabilities of Apache Pulsar, this platform offers a comprehensive solution that encompasses streaming, queuing, pub/sub, and stream processing. Astra Streaming serves as an ideal partner for Astra DB, enabling current users to construct real-time data pipelines seamlessly connected to their Astra DB instances. Additionally, the platform's flexibility allows for deployment across major public cloud providers, including AWS, GCP, and Azure, thereby preventing vendor lock-in. Ultimately, Astra Streaming empowers developers to harness the full potential of their data in real-time environments.

Luna offers a subscription service for Apache Cassandra support and expertise through DataStax, allowing users to take advantage of open-source Cassandra while benefiting from the knowledge and experience of the team that created most of its code and has supported some of the largest deployments globally. With Luna, you gain access to best practices, expert advice, and SLA-based support to ensure your Cassandra setup remains optimal. You can scale your operations without sacrificing performance or latency, effectively managing even the most demanding real-time workloads with ease. The service empowers you to create dynamic and highly-interactive customer experiences with exceptionally fast read and write capabilities. Additionally, Luna helps resolve issues and adhere to best practices in managing Cassandra clusters. The support provided encompasses the entire application life cycle, facilitating a deeper collaboration with your team throughout the implementation process, ensuring that your needs are met at every stage. Ultimately, Luna enhances your ability to harness the full potential of Cassandra for your business objectives.

Streamline your event-driven applications with Event Grid, a comprehensive solution for directing events from various sources to multiple destinations. Built with a focus on high reliability, consistent performance, and the ability to scale dynamically, Event Grid allows developers to prioritize application logic over infrastructure concerns. By eliminating the need for polling, it reduces both costs and latency typically associated with event handling. Through a pub/sub architecture and straightforward HTTP-based event transmission, Event Grid effectively separates event publishers from subscribers, facilitating the creation of scalable serverless applications, microservices, and distributed architectures. Experience significant scalability that adapts dynamically while receiving near-instantaneous alerts for the changes that matter to you. Enhance your applications’ reliability using reactive programming principles, ensuring dependable event delivery and leveraging the cloud's high availability. Moreover, you can explore a wider range of application possibilities by integrating various event sources and destinations, enriching your overall development experience.

Google Cloud Pub/Sub offers a robust solution for scalable message delivery, allowing users to choose between pull and push modes. It features auto-scaling and auto-provisioning capabilities that can handle anywhere from zero to hundreds of gigabytes per second seamlessly. Each publisher and subscriber operates with independent quotas and billing, making it easier to manage costs. The platform also facilitates global message routing, which is particularly beneficial for simplifying systems that span multiple regions. High availability is effortlessly achieved through synchronous cross-zone message replication, coupled with per-message receipt tracking for dependable delivery at any scale. With no need for extensive planning, its auto-everything capabilities from the outset ensure that workloads are production-ready immediately. In addition to these features, advanced options like filtering, dead-letter delivery, and exponential backoff are incorporated without compromising scalability, which further streamlines application development. This service provides a swift and dependable method for processing small records at varying volumes, serving as a gateway for both real-time and batch data pipelines that integrate with BigQuery, data lakes, and operational databases. It can also be employed alongside ETL/ELT pipelines within Dataflow, enhancing the overall data processing experience. By leveraging its capabilities, businesses can focus more on innovation rather than infrastructure management.

Amazon MQ is a cloud-based managed message broker service specifically designed for Apache ActiveMQ, simplifying the process of establishing and managing message brokers. This service enables seamless communication and information exchange between various software systems, which may operate on different platforms and utilize distinct programming languages. By handling the provisioning, setup, and ongoing maintenance of ActiveMQ, Amazon MQ significantly lessens the operational burden on users. The service is built to easily integrate with existing applications, as it employs widely accepted APIs and messaging protocols such as JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. This adherence to industry standards typically allows for a smooth transition to AWS without the necessity of altering existing messaging code. Through a few simple clicks in the Amazon MQ Console, users can provision their message broker while also gaining access to version upgrades, ensuring they always operate with the most current version supported by Amazon MQ. After the broker is configured, applications are ready to efficiently produce and consume messages as needed, facilitating a robust messaging environment. The combination of ease of use and efficiency makes Amazon MQ a compelling choice for businesses looking to enhance their messaging capabilities in the cloud.

Azure Web PubSub is a comprehensive managed solution designed for developers to create real-time web applications utilizing WebSockets along with the publish-subscribe model. This service facilitates both native and serverless WebSocket connections, ensuring scalable and bidirectional communication without requiring infrastructure management. It is particularly suited for various applications, including chat platforms, live streaming events, and IoT monitoring dashboards. By enabling real-time messaging through its publish-subscribe capabilities, it supports a vast number of concurrent users and large-scale client connections with high availability. The platform also accommodates a diverse range of client SDKs and programming languages, making it easier to integrate into pre-existing systems. Additionally, it features robust security protocols, including integration with Azure Active Directory and private endpoints, to safeguard data and regulate user access while meeting enterprise security standards. Consequently, developers can focus on building innovative applications without being burdened by the underlying infrastructure challenges.

Amazon Simple Notification Service (SNS) is a comprehensive messaging solution designed for both system-to-system and application-to-person (A2P) communication. It facilitates interaction between systems utilizing publish/subscribe (pub/sub) methods, allowing for messaging among independent microservice applications or direct communication with users through channels like SMS, mobile push notifications, and email. The pub/sub capabilities for system-to-system communication offer topics that support high-throughput, push-based messaging across multiple recipients. By leveraging Amazon SNS topics, publishers can disseminate messages to a vast array of subscriber systems or customer endpoints, including Amazon SQS queues, AWS Lambda functions, and HTTP/S, enabling efficient parallel processing. Furthermore, the A2P messaging feature allows you to reach users on a large scale, utilizing either a pub/sub framework or direct-publish messages through a single API call, thereby simplifying the communication process across various platforms.

Amazon Simple Queue Service (SQS) is a fully managed messaging platform that facilitates the decoupling and scaling of microservices, distributed systems, and serverless applications. By streamlining the complexities and management burdens associated with traditional message-oriented middleware, SQS allows developers to concentrate on their core tasks. With SQS, it's possible to send, store, and receive messages between various software components at any scale, ensuring that no messages are lost and that other services do not need to be operational. Getting started with SQS is quick and straightforward, as users can utilize the AWS console, Command Line Interface, or their preferred SDK to execute just three simple commands. This service enables the transmission of large volumes of data with high throughput while maintaining message integrity and independence from other services. Additionally, SQS helps to decouple application components, allowing them to operate and fail separately, which ultimately enhances the system's overall fault tolerance and reliability. By leveraging SQS, your applications can achieve greater resilience and efficiency in handling messaging tasks.

RTI offers a specialized software connectivity framework tailored for advanced machines and tangible systems. By utilizing RTI Connext DDS, it fosters an intelligent architecture that facilitates real-time information sharing, enabling large-scale applications to function cohesively. RTI stands out globally for its ability to connect sophisticated, distributed systems. These interconnected systems enhance healthcare services, increase road safety, optimize energy consumption, and uphold individual freedoms. Built on the Connext DDS Databus, RTI’s software ensures that applications can share data instantaneously while maintaining the uninterrupted availability and security that are critical for mission-essential operations. The Connext Databus allows these applications to collaborate seamlessly as a unified entity, which significantly lowers costs associated with development, integration, and maintenance. RTI Connext represents a pioneering intelligent connectivity framework that is specifically designed to manage, oversee, secure, and enhance the performance of complex distributed systems, highlighting the company's commitment to innovation in this domain. By doing so, RTI not only addresses current technological challenges but also sets the stage for future advancements in connectivity solutions.

Anypoint MQ enables sophisticated asynchronous messaging capabilities, including queuing and publish/subscribe features, through fully managed cloud message queues and exchanges. As an integral component of Anypoint Platform™, Anypoint MQ offers support for various environments and business groups while implementing role-based access control (RBAC) to ensure enterprise-level functionality and security for organizations.

A managed service facilitates two-way communication between IoT devices and Azure, ensuring that your Internet of Things (IoT) application maintains secure and dependable connections with the devices it oversees. Azure IoT Hub acts as a cloud-based backend, capable of linking nearly any device seamlessly. Enhance your solution by integrating from the cloud to the edge, utilizing per-device authentication, built-in device management, and scalable provisioning options. By leveraging device-to-cloud telemetry data, you can monitor the status of your devices and easily create message routes to various Azure services without the need for coding. Additionally, cloud-to-device messaging allows for the reliable transmission of commands and notifications to your connected devices, with the ability to track delivery through acknowledgment receipts. In the event of connectivity issues, the system automatically resends messages to ensure communication continuity. With Azure IoT Central, we aim to go beyond mere proof of concept by assisting you in developing advanced, industry-leading solutions using a fully managed IoT application platform that streamlines innovation. This comprehensive approach empowers organizations to fully harness the potential of IoT technology in their operations.

Utilize Service Bus for a dependable cloud messaging solution that facilitates communication between applications and services, even during offline periods. This fully managed service is accessible in all Azure regions, alleviating the need for server management and licensing concerns. Experience enhanced flexibility when managing messaging between clients and servers through asynchronous operations, complemented by structured first-in, first-out (FIFO) messaging and publish/subscribe features. By harnessing the advantages of asynchronous messaging patterns, you can effectively scale your enterprise applications. Seamlessly integrate cloud resources such as Azure SQL Database, Azure Storage, and Web Apps with Service Bus messaging to ensure smooth functionality under fluctuating loads while maintaining resilience against occasional failures. Elevate your system's availability by designing messaging topologies that incorporate intricate routing. Furthermore, exploit Service Bus for efficient message distribution to numerous subscribers, enabling widespread message delivery to downstream systems on a larger scale. This allows organizations to maintain operational efficiency while managing diverse communication needs.

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.

Aiven takes the reins on your open-source data infrastructure hosted in the cloud, allowing you to focus on what you excel at: developing applications. While you channel your energy into innovation, we expertly handle the complexities of managing cloud data infrastructure. Our solutions are entirely open source, providing the flexibility to transfer data between various clouds or establish multi-cloud setups. You will have complete visibility into your expenses, with a clear understanding of costs as we consolidate networking, storage, and basic support fees. Our dedication to ensuring your Aiven software remains operational is unwavering; should any challenges arise, you can count on us to resolve them promptly. You can launch a service on the Aiven platform in just 10 minutes and sign up without needing to provide credit card information. Simply select your desired open-source service along with the cloud and region for deployment, pick a suitable plan—which includes $300 in free credits—and hit "Create service" to begin configuring your data sources. Enjoy the benefits of maintaining control over your data while leveraging robust open-source services tailored to your needs. With Aiven, you can streamline your cloud operations and focus on driving your projects forward.

AWS IoT Core facilitates the connection of IoT devices to the AWS cloud seamlessly, eliminating the need for server management or provisioning. It has the capacity to handle billions of devices and trillions of messages while ensuring that these messages are processed and routed reliably and securely to AWS endpoints and other connected devices. This service enables applications to monitor and communicate with all devices continuously, even when they are offline. In addition, AWS IoT Core simplifies the integration of AWS and Amazon services such as AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service, empowering developers to create IoT applications that can efficiently gather, process, analyze, and respond to data from connected devices without the need for infrastructure management. Furthermore, the platform supports the connection of an unlimited number of devices, making it highly scalable and flexible for various IoT use cases.

IBM® Messages for RabbitMQ on IBM Cloud® serves as a versatile broker that accommodates various messaging protocols, enabling users to efficiently route, track, and queue messages with tailored persistence levels, delivery configurations, and publish confirmations. With the integration of infrastructure-as-code tools like IBM Cloud Schematics utilizing Terraform and Red Hat® Ansible®, users can achieve global scalability without incurring additional costs. IBM® Key Protect allows customers to use their own encryption keys, ensuring enhanced security. Each deployment features support for private networking, in-database auditing, and various other functionalities. The Messages for RabbitMQ service enables independent scaling of both disk space and RAM to meet specific needs, allowing for seamless growth that is just an API call away. It is fully compatible with RabbitMQ APIs, data formats, and client applications, making it an ideal drop-in replacement for existing RabbitMQ setups. The standard setup incorporates three data members configured for optimal high availability, and deployments are strategically distributed across multiple availability zones to enhance reliability and performance. This comprehensive solution ensures that businesses can effectively manage their messaging needs while maintaining flexibility and security.

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.

One Platform for Realtime Communication: A platform to build and operate real-time interactivity for web, mobile, AI/ML, IoT, and Edge computing applications Faster & Easier Deployments: SDK support for 50+ mobile, web, server, and IoT environments (PubNub & community supported) and more than 65 pre-built integrations with external and third-party APIs to give you the features you need regardless of programming language or tech stack. Scalability: The industry’s most scalable platform capable of supporting millions of concurrent users for rapid growth with low latency, high uptime, and without financial penalties.

IBM® MQ on Cloud represents the pinnacle of enterprise messaging solutions, ensuring secure and dependable communication both on-premises and across various cloud environments. By utilizing IBM MQ on Cloud as a managed service, organizations can benefit from IBM's management of upgrades, patches, and numerous operational tasks, which allows teams to concentrate on integrating it with their applications. For instance, if your company operates a mobile application in the cloud to streamline e-commerce transactions, IBM MQ on Cloud can effectively link the on-premises inventory management system with the consumer-facing app, offering users immediate updates regarding product availability. While your core IT infrastructure is located in San Francisco, the processing of packages occurs in a facility situated in London. IBM MQ on Cloud ensures that messages are transmitted reliably between these two locations. It enables the London office to securely encrypt and send data regarding each package that requires tracking, while allowing the San Francisco office to receive and manage that information with enhanced security measures. Both locations can confidently rely on the integrity of the information exchanged, ensuring that it remains intact and accessible. This level of communication is crucial for maintaining operational efficiency and trust across global business functions.

RabbitMQ is a lightweight solution that can be effortlessly deployed both on-premises and in cloud environments. It is compatible with various messaging protocols, making it versatile for different use cases. Furthermore, RabbitMQ can be configured in distributed and federated setups, which cater to demanding scalability and high availability needs. With a vast user base, it stands out as one of the leading open-source message brokers available today. Organizations ranging from T-Mobile to Runtastic leverage RabbitMQ, showcasing its adaptability for both startups and large enterprises. Additionally, RabbitMQ is compatible with numerous operating systems and cloud platforms, offering a comprehensive suite of development tools for popular programming languages. Users can deploy RabbitMQ using tools like Kubernetes, BOSH, Chef, Docker, and Puppet, facilitating seamless integration into their existing workflows. Developers can also create cross-language messaging solutions using their preferred programming languages, such as Java, .NET, PHP, Python, JavaScript, Ruby, and Go, enhancing its utility across various projects.

TIBCO provides robust solutions designed to fulfill your requirements for performance, throughput, reliability, and scalability, while also offering diverse technology and deployment alternatives to ensure real-time data accessibility in critical areas. The TIBCO Platform integrates a continuously developing array of your TIBCO solutions, regardless of their hosting environment—be it cloud-based, on-premises, or at the edge—into a cohesive, single experience that simplifies management and monitoring. By doing so, TIBCO supports the creation of solutions vital for the success of major enterprises around the globe, enabling them to thrive in a competitive landscape. This commitment to innovation positions TIBCO as a key player in the digital transformation journey of businesses.

Redacting involves the removal of specific information types from documents, including sensitive data like Social Security Numbers and account details. In the realm of U.S. government agency publications, this process is critical for eliminating classified information before documents are released to the public. For legal professionals, effective redaction is essential in safeguarding confidential details. When faced with discovery, any document that must be shared and contains sensitive information requires the careful removal of all non-discoverable confidential content beforehand. AutoRedact offers a genuine redaction solution that effectively eliminates sensitive text, annotations, text form fields, vector graphics, and image data from PDF files, ensuring their safety for dissemination. The software boasts a range of robust features aimed at enhancing productivity, facilitating automated document redaction, and supporting multi-user workflows, ultimately streamlining the entire process of protecting sensitive information. With such capabilities, organizations can maintain compliance and protect privacy more efficiently.

GlassFlow is an innovative, serverless platform for building event-driven data pipelines, specifically tailored for developers working with Python. It allows users to create real-time data workflows without the complexities associated with traditional infrastructure solutions like Kafka or Flink. Developers can simply write Python functions to specify data transformations, while GlassFlow takes care of the infrastructure, providing benefits such as automatic scaling, low latency, and efficient data retention. The platform seamlessly integrates with a variety of data sources and destinations, including Google Pub/Sub, AWS Kinesis, and OpenAI, utilizing its Python SDK and managed connectors. With a low-code interface, users can rapidly set up and deploy their data pipelines in a matter of minutes. Additionally, GlassFlow includes functionalities such as serverless function execution, real-time API connections, as well as alerting and reprocessing features. This combination of capabilities makes GlassFlow an ideal choice for Python developers looking to streamline the development and management of event-driven data pipelines, ultimately enhancing their productivity and efficiency. As the data landscape continues to evolve, GlassFlow positions itself as a pivotal tool in simplifying data processing workflows.

Examine the usage of your data assets, focusing on aspects like popularity, utilization, and schema coverage. Gain vital insights into your data assets, including their quality and usage metrics. You can easily locate and filter the necessary data by leveraging metadata tags and descriptions. Additionally, these insights will help you drive data governance and establish clear ownership within your organization. By implementing a streamlined lineage from data lakes to warehouses, you can enhance collaboration and accountability. An automatically generated field-level lineage map provides a comprehensive view of your entire data ecosystem. Moreover, anomaly detection systems adapt by learning from your data trends and seasonal variations, ensuring automatic backfilling with historical data. Thresholds driven by machine learning are specifically tailored for each data segment, relying on actual data rather than just metadata to ensure accuracy and relevance. This holistic approach empowers organizations to better manage their data landscape effectively.

Apache Flink serves as a powerful framework and distributed processing engine tailored for executing stateful computations on both unbounded and bounded data streams. It has been engineered to operate seamlessly across various cluster environments, delivering computations with impressive in-memory speed and scalability. Data of all types is generated as a continuous stream of events, encompassing credit card transactions, sensor data, machine logs, and user actions on websites or mobile apps. The capabilities of Apache Flink shine particularly when handling both unbounded and bounded data sets. Its precise management of time and state allows Flink’s runtime to support a wide range of applications operating on unbounded streams. For bounded streams, Flink employs specialized algorithms and data structures optimized for fixed-size data sets, ensuring remarkable performance. Furthermore, Flink is adept at integrating with all previously mentioned resource managers, enhancing its versatility in various computing environments. This makes Flink a valuable tool for developers seeking efficient and reliable stream processing solutions.

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.

INTEGRATION: Integrate your systems with a simple point-and-click interface. Access the full target system schemas in order to map and transform data on a regular or ad-hoc basis. TRANSFORMATION: Powerful mapping of data transformation. Includes querying the target system to enable any transformation possible into the source systems. MAINTENANCE : Full cron schedule of jobs, including customisable system outages, dependencies between connections, and deployment via email for self-service within business. PIPELINES - powerful pipeline automation. Define reports, queries, or file matches, conditions complexes, filters, and schedules for pushing data into and out of your business systems. Connect any source to any target: Salesforce schema, Salesforce Reports, Webhooks (SOQL), Google Drive, FTP (SQL Server), Snowflake, Onedrive Dynamics 365, Google Analytics Exasol AWS S3, Local Files, Eloqua Smartsheet ServiceNow Email & More...

Red Hat® OpenShift® Streams for Apache Kafka is a cloud-managed service designed to enhance the developer experience for creating, deploying, and scaling cloud-native applications, as well as for modernizing legacy systems. This service simplifies the processes of creating, discovering, and connecting to real-time data streams, regardless of their deployment location. Streams play a crucial role in the development of event-driven applications and data analytics solutions. By enabling seamless operations across distributed microservices and handling large data transfer volumes with ease, it allows teams to leverage their strengths, accelerate their time to value, and reduce operational expenses. Additionally, OpenShift Streams for Apache Kafka features a robust Kafka ecosystem and is part of a broader suite of cloud services within the Red Hat OpenShift product family, empowering users to develop a diverse array of data-driven applications. With its powerful capabilities, this service ultimately supports organizations in navigating the complexities of modern software development.

Snow Commander serves as a robust hybrid cloud management solution that harnesses automation to enhance business responsiveness, control, and operational effectiveness. This innovative tool allows IT departments to remove tedious manual approval workflows, granting end users a rapid self-service option for accessing both public and private cloud resources, which is essential for maintaining the pace of agile development teams. By streamlining hybrid cloud management, organizations can significantly boost their agility and efficiency. Snow Commander facilitates a seamless experience for end users seeking quick access to cloud resources while providing IT with crucial visibility for monitoring resource utilization. The self-service portal, complemented by automation for provisioning, ensures that development teams remain uninterrupted in their workflow. Additionally, its advanced workload engine supports change orchestration, integrating cost analysis, governance frameworks, and automation features. With its adaptable capabilities, Snow Commander not only enhances operational processes but also encourages innovation across the organization.

IBM® Cloud Automation Manager is a versatile, self-service management solution designed for multi-cloud environments, operating on IBM Cloud Private, which equips both developers and administrators to fulfill organizational needs. This platform enables seamless management and service delivery through comprehensive automation, while also allowing developers to create applications that adhere to corporate policies. By leveraging the power of IBM Watson®, users can optimize their operational landscape in just a few minutes. It provides the necessary flexibility for hybrid IT setups, enhances efficiency via self-service capabilities, and ensures governance through robust, enforceable policies along with insightful intelligence to maintain a secure and compliant IT framework. Additionally, developers gain the convenience of self-service access and the ability to automate the entire application lifecycle through the use of prebuilt automation packs, ultimately fostering a more agile and responsive development environment. With these features, organizations can not only streamline their processes but also ensure that their IT operations remain secure and compliant.

Streamlining privacy through automated secure redaction for document sharing is the cornerstone of Rectify's approach. By utilizing privacy-centric artificial intelligence, Rectify efficiently eliminates sensitive information during the data sharing process. This innovation significantly reduces the need for human intervention in identifying and expunging consumer identities, trade secrets, intellectual property, and other confidential data from datasets destined for third-party distribution. Our team has safeguarded tens of millions of pages, and the number continues to rise. With our advanced "privacy-enabled AI" for deidentification, organizations can move away from tedious manual redaction processes. The risks associated with disclosing sensitive information without a reliable redaction tool can be severe, making it imperative to choose an effective redaction service. Rectify offers a comprehensive solution tailored to your redaction requirements, ensuring your business's security and privacy are maintained at all times. By opting for Rectify's secure redaction, you can automate privacy protection and foster confidence in your data handling practices.

Smartbox.ai is an innovative AI-driven tool that aims to optimize the management of Data Subject Access Requests (DSARs), sophisticated redaction processes, and forensic assessments related to data breaches. It harnesses multilingual functionalities to identify, scrutinize, and redact both organized and unorganized data, even including handwritten materials. By automating the identification and removal of personal data, Smartbox.ai significantly boosts operational effectiveness while minimizing the potential for mistakes and compliance issues. It protects the confidentiality and integrity of edited documents by converting them into flat images, thus thwarting any attempts at alteration. The platform also facilitates teamwork among various reviewers, simplifying the handling of intricate cases. Moreover, it allows for secure sharing of documents and tracks the progress of DSARs in real-time. In enhancing the efficiency, precision, and defensibility of the redaction process, Smartbox.ai empowers organizations to reduce risks and adhere to data protection laws effectively. Ultimately, this tool not only streamlines workflows but also fosters a culture of compliance within organizations.

Utilize the AI-driven Veritone Redact software to save both time and expenses while optimizing essential resources by automating the process of redacting sensitive content in audio, video, and image evidence. The demanding resources and high costs associated with manually redacting sensitive information from media can burden public safety agencies. Nevertheless, this process is crucial for protecting witnesses and adhering to freedom of information statutes, as well as fulfilling various public records requests. Veritone Redact efficiently identifies human figures, license plates, officer notepads, and laptops (MDTs), while also allowing users to specify additional sensitive visuals and items within each scene, subsequently automating the redaction of this information across various media formats. After the redaction process is complete, users can swiftly download the modified evidence along with logs that assist in maintaining chain of custody standards, facilitating sharing with colleagues, public defenders, and other essential parties involved in the legal process. This streamlined approach not only enhances efficiency but also ensures compliance with legal requirements and fosters collaboration among stakeholders.