Best Data Management Software for Ably

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

Netlify is the AI native web platform where agents and developers build together. Over 15 million developers and teams use it to build, launch, and scale web applications on a single platform, from independent builders to cross-functional teams at Bolt, Figma, Mattel, and Riot Games. Whether you're writing code or working with AI, Netlify takes you from prompt to live production URL in one workflow. Leading AI coding agents like Claude Code, Codex CLI, and Gemini CLI run directly inside the Netlify dashboard, which is agent-agnostic by design. Underneath sits managed Postgres with isolated branches per Deploy Preview, serverless functions, edge compute, and a global CDN. Every modern web framework is supported. That last part matters. Most AI prototyping tools hit a wall when it's time to ship. Teams build something quickly, then hand it back to engineering to rebuild on real infrastructure before it can scale. Netlify skips that step. The app you ship on day one is the app that scales. Netlify's CEO and co-founder, Mathias Biilmann, coined the term agent experience (AX) in January 2025. The company's long-term strategy is built around being the best place for agents and the humans directing them to build software together. The business model reflects that bet. Netlify was first in the category to pair credit-based usage tiers with flat, unlimited seats. Developers, PMs, marketers, and internal builders can all join the same plan for free and build alongside AI agents. It's a PLG motion designed for bottom-up enterprise expansion, with consumption driving growth instead of seat counts.

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.

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.

Effortlessly gather, manage, and scrutinize video and data streams as they occur. Amazon Kinesis simplifies the process of collecting, processing, and analyzing streaming data in real-time, empowering you to gain insights promptly and respond swiftly to emerging information. It provides essential features that allow for cost-effective processing of streaming data at any scale while offering the adaptability to select the tools that best align with your application's needs. With Amazon Kinesis, you can capture real-time data like video, audio, application logs, website clickstreams, and IoT telemetry, facilitating machine learning, analytics, and various other applications. This service allows you to handle and analyze incoming data instantaneously, eliminating the need to wait for all data to be collected before starting the processing. Moreover, Amazon Kinesis allows for the ingestion, buffering, and real-time processing of streaming data, enabling you to extract insights in a matter of seconds or minutes, significantly reducing the time it takes compared to traditional methods. Overall, this capability revolutionizes how businesses can respond to data-driven opportunities as they arise.