Confluent and Apache Kafka in 2017
2017 was an amazing year for Apache Kafka® as an open source project and for Confluent as a company. I wanted to take moment to thank all the contributors and […]
2017 was an amazing year for Apache Kafka® as an open source project and for Confluent as a company. I wanted to take moment to thank all the contributors and […]
A question people often ask about Apache Kafka® is whether it is okay to use it for longer term storage. Kafka, as you might know, stores a log of records, […]
I have some exciting news to share: we’ve completed a $50 million investment led by our newest partner, Sequoia Capital and Matt Miller of Sequoia will be joining our board […]
If you are using Apache Kafka from a language other than Java one of the first questions you probably have is something like, “Why are there two (or five!) clients […]
Most people think that what’s exciting about distributed systems is the ability to support really big applications. When you read a blog about a new distributed database, it usually talks […]
Update: Today, KSQL, the streaming SQL engine for Apache Kafka®, is also available to support various stream processing operations, such as filtering, data masking and streaming ETL. It is complementary […]
It is my pleasure to announce that Confluent has raised a Series B funding of $24M, led by Index Ventures and joined by our Series A investor, Benchmark. Mike Volpi […]
Testing is one of the hardest parts of building reliable distributed systems. Kafka has long had a set of system tests that cover distributed operation but this is an area […]
This is the second part of our guide on streaming data and Apache Kafka. In part one I talked about the uses for real-time data streams and explained the concept of […]
Data systems have mostly focused on the passive storage of data. Phrases like “data warehouse” or “data lake” or even the ubiquitous “data store” all evoke places data goes to […]