News and Media Coverage

Decodable, a real-time data platform powered by Apache Flink and Debezium, announces the integration of PyFlink support into its platform, aimed to significantly boost real-time data processing capabilities for AI applications.

Flink is ushering in a long-imagined era when data can finally be harnessed for on-target insights and informed, instantaneous decision-making. As we welcome 2024, let’s take a brief look back at the milestones achieved by the Apache Flink community and ecosystem in the past year.

On the first day of 2024, Gunnar Morling, Senior Staff Software Engineer at Decodable, launched The One Billion Row Challenge (1BRC) to the Java Community. This ongoing challenge will run until the end of January and aims to find Java code that processes one billion rows in the fastest time.

In 2023, stream processing gained momentum as the choice for online feature extraction, data cleansing and normalization, enrichment, and anonymization of sensitive data. In 2024, this trend will continue to expand, integrating generative AI models to power real-time, online, user-facing applications.

Decodable, makers of the enterprise-ready stream processing platform built on Apache Flink and Debezium, has joined the Connect with Confluent (CwC) Partner Program to further support Confluent Cloud customers with their data streaming initiatives.

As the world becomes increasingly more demanding in the ways it consumes any form of content, data is no stranger to this phenomenon. The emphasis on real-time, streaming data, as well as IoT, has dictated what many organizations seek in terms of operational intelligence.

Decodable announced that it has expanded the enterprise features of its platform with the addition of a Snowflake Streaming API connector and a dbt adapter.

Are recession fears eating at you? Worried about all your digital transformation investments evaporating like so much dew in the morning sun? Learn how an open data lakehouse will maintain and grow the value of your data.

This article examines the commoditization of the full software stack by binding the application to cloud services using open APIs and standards that preserve flexibility and portability.

Micro-batching offers many, but not all, the advantages real-time data streaming. But in order to succeed, streaming data needs the same tooling that everyone expects from batch data.

Explore how to take advantage of Postgres Logical Decoding for implementing data propagation via the outbox pattern, application logging, and enriching audit logs with metadata.

Solutions Review’s Low-Code Data Engineering Vendors to Watch is an annual listing of solution providers we believe are worth monitoring. Companies are commonly included if they demonstrate a product roadmap aligning with our meta-analysis of the marketplace. Other criteria include recent and significant funding, talent acquisition, a disruptive or innovative new technology or product, or inclusion in a major analyst publication.

In 2022 alone, a total of at least $55 million has been invested by venture capitalists into startups building companies around Apache Flink, the open source project that’s used to process data streams at large scale and deliver real-time analytical insights. In 2023, Confluent announced acquiring a Flink startup for a rumored $100m. Investors have high confidence that Flink is the right technology for stream processing.

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.

Decodable has announced a slate of new features in its enterprise-ready platform built on Apache Flink, an industry leading stream processing technology. The Decodable platform rounds out open source Apache Flink with capabilities that deliver security, efficiency and performance, enabling enterprise users to connect to anything, develop with speed and operate with confidence.

Decodable has announced new features in its enterprise-ready platform built on Apache Flink, the stream processing technology. The Decodable platform rounds out open source Apache Flink with capabilities that deliver security, efficiency and performance, enabling enterprise users to connect to anything, develop with speed and operate with confidence.

Dunith Danushka walks through a few patterns for building operational use cases with Kafka and Flink. Operational use cases differ from the typical analytical use cases and can directly impact business operations.

Startups continue to emerge this year, addressing challenges and leveraging opportunities in innovative and novel ways. The landscape is constantly changing, and 2023 is no different. Here are 15 startups DBTA thinks are worth watching in 2023.

Eric Sammer explains what Apache Flink is and why Booking.com, Pinterest, Stripe, Alibaba and Goldman Sachs are just a few of the companies that rely on Flink.

VentureBeat's analysis of the recent Datastax+Decodable partnership to promote streaming among joint customers

Venturebeat's coverage of Decodable's Series A funding announcement

TechCrunch coverage of the announcement of Decodable's enterprise capabilities and enhancements.