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www.confluent.io | ||
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www.onehouse.ai
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| | | | | The Lambda architecture has been widely used to handle both batch and real-time data streams. However, as organizations seek more efficient and scalable solutions to keep up with exploding data volumes, they find the limitations of Lambda architectures. Check out this summary of a recent talk on Apache Beam from David Regalado, Engineering VP at a stealth-mode startup and Google Cloud Champion Innovator. | |
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facilethings.com
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| | | | | We tend to make bad decisions based solely on the information we have at our disposal. Find out how this bias works and how to turn it around | |
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www.decodable.co
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| | | | | At Decodable, we have long believed that Apache Flink is the best stream processing system, with a proven track record of meeting the demands of some of the largest and most sophisticated businesses in the world, such as Netflix, Uber, Stripe, and many more. We are excited to welcome Confluent to the ranks of companies, like ourselves, who regard Flink as the industry standard for meeting the real-time stream processing needs of businesses, large and small. | |
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www.dquach.com
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| | | [AI summary] The provided text is an extensive list of data integration and data management tools, platforms, and companies. It includes both open-source and commercial solutions, ranging from Apache Spark to enterprise software like Talend, TIBCO, and Qlik. The list also includes companies like Dell Boomi, Stitch, and Hevo Data, which offer cloud-based integration services. Additionally, there are mentions of tools like Liquibase, Flyway, and Shipyard for database management and container orchestration. The text appears to be a comprehensive catalog of data-related technologies, possibly intended for comparison, research, or decision-making in data engineering and integration projects. | ||
