Our Blogs

Articles & Press Releases

Dive into our blog page to discover all the latest news and press releases from Streambased, keeping you informed on our newest developments and insights.

Blog Post

Why Iceberg doesn’t make sense for Kafka (and why what it means does)

Iceberg is a great fix for issues experienced with legacy data formats but is it the right solution for new data sources, formats and paradigms? This blog post takes a look at Iceberg's suitability for streaming data and why it may not be the silver bullet here that it appears for traditional warehousing.

Introducing Streambased A.S.K., the world’s first free, serverless service for running analytics on streaming data

Streambased A.S.K. is a free, easy-to-use service for analyzing streaming data without sign-up or deployment, enhancing predictive models and business insights securely.

There's nothing special about event streaming data

Stream processing with Kafka is complex. Treating Kafka data as a simple store and using SQL simplifies access. Streambased enhances performance, making Kafka data more accessible for analysts.

Streambased And TableFlow - Two Very Different Approaches To The Same Problem

Explore the contrasting strategies of Streambased and TableFlow, offering unique perspectives on tackling common data challenges.

Introducing the Streaming Datalake

Designed for the future of streaming, Streambased enables instant ad-hoc data analysis directly from the source.

Operational and Analytical data system convergence, the coming revolution that already happened

Exploring the transformative journey from distinct operational and analytical data systems to a unified, versatile approach in data infrastructure.

Why is it so difficult for analysts to get at a newly created Kafka topic?

Why is it so difficult for analysts to get at a newly created Kafka topic? Discover how Streambased revolutionizes data access for analysts by eliminating traditional ELT pipelines, enabling direct, efficient interaction with operational data through industry-standard protocols.

Governance and the Streaming Datalake: Do it well and do it once

Exploring the efficiency of applying governance principles once in streaming datalakes to simplify data management across organizations.

Kafka + Streambased - An Event Sourcing Match made in heaven

This post highlights Streambased’s role in overcoming Kafka’s limitations for efficient event sourcing by improving data retrieval and filtering.

Leo Delmouly

June 10, 2024

8 Minutes

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