This guest post is written by Andrew Stevenson, CTO at DataMountaineer. Andrew focuses on providing real-time data pipelines allowing reactive decision making, streaming analytics and big data integration. He has […]
Apache CassandraTM, with its support for high volume data ingest and multi-data-center replication, is a popular and preferred landing zone for web-scale data. DataStax Enterprise (DSE), a data management layer […]
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 […]
Apache Kafka (the basis for the Confluent Platform) delivers an advanced stream processing platform for streaming data across AWS, GCP, and Azure at scale, used by thousands of companies. Amazon […]
On May 24, we announced Confluent Control Center, an application for managing and monitoring a Kafka-based streaming platform. Control Center has a beautiful user interface, and under the surface we […]
This is a guest blog from Fangjin Yang. Fangjin is the co-founder and CEO of Imply, a San Francisco based technology company, and one of the main committers of the Druid […]
The following post was written by guest blogger Duncan Pauly from JustOne. JustOne is a member of the Confluent partner program. Duncan is the Chief Technology Officer at JustOne and possesses over two decades of senior technical […]
Apache Kafka is designed to be highly performant, reliable, scalable, and fault tolerant. At the same time, the performance and reliability of a Kafka cluster is highly dependent on the […]
This post was written by guest blogger Rajiv Kurian from SignalFx. SignalFx is a member of the Confluent partner program. Rajiv is a software engineer with over five years experience building […]
I’m happy to announce that Confluent will be hosting the first Stream Data Hackathon this April 25th in San Francisco! Apache Kafka has recently introduced two new major features: Kafka […]
