HELSINKI, Finland, June 25, 2020 — Aiven, a technology company combining open source technologies with cloud infrastructure, announced the release of Kafka MirrorMaker 2 as a stand-alone service, enabling enterprises to access the Apache Kafka ecosystem more easily.
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Features
Yes, Real-Time Streaming Data Is Still Growing
A funny thing happened while the tech world was focused almost exclusively on ChatGPT over the past eight months: Adoption of other cutting-edge technologies kept growing. One of those is real-time stream data processing Read more…
Big Data Career Notes: March 2023 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details Read more…
Aiven Announces General Availability of Aiven for Apache Flink
Open source cloud data platform Aiven has announced the general availability of Aiven for Apache Flink. This fully-managed service can be deployed in the cloud of a user’s choice and across multiple cloud vendors incl Read more…
Big Data Career Notes: December 2022 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details Read more…
Aiven Introduces an Open Source Streaming Ecosystem for Apache Kafka
Users of the event streaming platform Apache Kafka may be interested to know there are new management services available through Aiven. The company has announced a complete open source streaming ecosystem for Kafka. A Read more…
This Just In
Dec 14, 2022 |
Dec. 14, 2022 — Aiven has announced that its new real-time data warehouse service, Aiven for ClickHouse, is now generally available for production grade usage. Since the introduction of the beta version of the service just 3 months ago, Aiven has worked with the beta testers to iron out all glitches and to implement new capabilities. Read more…
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