Operations | Monitoring | ITSM | DevOps | Cloud

Introducing Aiven for DataHub: Managed context for humans and AI

Discover Aiven for DataHub: a fully managed, open-source data catalog that gives your teams and AI agents the context they need to find and understand data. According to an MIT study, 95% of AI projects fail to deliver value. I've been thinking about why that number is so stubbornly high, and I've come to believe the answer isn't about models,compute or even data quality in the traditional sense -It's about context.

Get Kafka-Nated S2E4: Debugging the Kafka-Iceberg Connector

In this episode of Get Kafka-Nated, host Hugh is joined by Anatolii Popov, Senior Software Engineer at Aiven, to dive into one of the most talked-about integrations in the modern data stack: Kafka to Apache Iceberg. Anatolii was accepted to speak at Iceberg Summit 2026 on debugging the Kafka Connect Iceberg Connector, and in this session we’ll cover the talk he would have given, including common failure modes, debugging locally, catalog complexities, and where the integration is heading next.

How a single space broke OpenSearch backups - and how Aiven fixed it for our customers

One space character, one broken backup. See how Aiven’s engineering team traced an OpenSearch k-NN bug to its source and implemented a lasting fix. Backing up your OpenSearch indexes via the Snapshot process is vital for disaster recovery, allowing you to restore the indexed data, cluster configuration and state if something goes wrong.

Introducing Aiven Apps: Applications next to your data, where they belong

Unify your code and data. Aiven Apps lets teams deliver real-time applications faster, without building new platforms. No lock-in. No custom pipelines. No egress surprises. We are excited to announce the Limited Availability (LA) launch of Aiven Apps! For over a decade, Aiven has simplified how you store and stream data with an open-source foundation. Over that same time, data volumes have exploded, and so has the friction caused by the distance between where your data is stored and where your code runs.

OVHcloud is now available on Aiven

At Aiven, we believe that you should have the freedom to deploy your data wherever your business needs it to be. Whether you are optimizing for performance, compliance, or regional proximity, our goal is to ensure that the underlying infrastructure supports your innovation without friction. Today, we are excited to expand those choices by officially announcing that OVHcloud is now available as a supported infrastructure provider for Aiven customers.

Aiven for ClickHouse 25.8 LTS: Vector Search GA, Projections, Correlated Subqueries, and Faster Queries

Vector Search GA & SQL Enhancements. Aiven for ClickHouse 25.8 is now available as an Early Availability. This Long-Term Support release introduces lightweight projections as secondary indexes, general availability of vector search with binary quantization, correlated subqueries for broader SQL compatibility, lightweight updates for MergeTree tables, and significant performance and data lakehouse improvements.

The Future of Kafka and Steaming

Join Jeff Mery and Josep Prat as they discuss the future of Kafka and Streaming. In this deep dive, we break down the architectural shifts and hidden "taxes" currently hitting the data streaming ecosystem—and how to engineer your way out of them. In this video, you’ll see: The "Streaming Tax" Breakdown: A transparent look at how 3x replication, inter-AZ egress, and eCKU markups are inflating your TCO by up to 500%.

The Four Factors of Production-Ready PostgreSQL

Discover how Aiven makes the 4 factors of production-ready PostgreSQL easy A database isn't production-ready just because your application can query it. To be truly ready for production, your PostgreSQL setup must be able to survive node failures, block unauthorized network access, handle sudden connection spikes without crashing, and tell you exactly why a query is running slow. Let’s explore these four factors and how Aiven puts being production-ready on easy mode.

What does the IBM acquisition of Confluent mean for the future of streaming and Kafka?

On December 8th, 2025, IBM announced a definitive agreement to acquire Confluent in a deal valued at $11 billion. It is a massive moment for our industry. The acquisition was finalized on March 17th, 2026. For some, this looks like a safe bet; a way for enterprise giants to finally "get" real-time data. But for those of us who have spent our careers in open source software and data infrastructure, it feels different. There’s a sense of wondering “when is the other shoe going to drop?”.