Instaclustr Blog Archive
2026 | Page 3
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- Dev Rel
- OpenSearch
OpenSearch 3.7: Faster vectors and smarter hybrid search
OpenSearch 3.7 adds z-score and RRF to the Hybrid Optimizer (82 variants) and up to 5.5x faster k-NN vector retrieval via docvalue_fields. No reindexing required.
Learn MoreKassian WrenJune 19, 2026 -
- Apache Cassandra
- Apache Kafka
- Cadence
- ClickHouse
- Feature Releases
- News
- OpenSearch
- PostgreSQL
Instaclustr product update: June 2026
The last few months have been busy at NetApp Instaclustr as we’ve released some great new features for our customers, including AI Search for OpenSearch, Kafka Client Telemetry, ClickHouse integration with Amazon FSx, and Cluster DNS for Cassandra and Kafka on AWS—check out our latest product update for all the details!
Learn MoreVinh NgoJune 18, 2026 -
- AI
- Apache Kafka
- Dev Rel
Kafka® Streams error handling, Part 2: How to catch and fix bad records with KIP-1034 and LLMs
Learn Kafka Streams error handling with KIP-1034 dead letter queues and LLMs. See how to catch deserialization errors and repair bad records in Java.
Learn MorePaul BrebnerJune 15, 2026 -
- AI
- Apache Kafka
- Dev Rel
How to build an Apache Kafka® Streams application with KIP-1034 Dead Letter Queues and LLM repair, part 1: Introduction and streams topology
Build a Kafka Streams application that fixes itself. Learn how KIP-1034 dead letter queues and LLMs handle bad records for real-time error handling in Java.
Learn MorePaul BrebnerJune 15, 2026 -
- ClickHouse
What are Asynchronous Data Inserts in ClickHouse®
Asynchronous data inserts in ClickHouse are a server-side batching mechanism that buffers incoming data in memory before writing it to disk. This approach allows ClickHouse to handle high-throughput ingestion smoothly and predictably under heavy load. Everyone talks about ClickHouse’s speed in large analytical workloads, usually focusing on the blazing-fast queries. But speed doesn’t just come...
Learn MoreVikas KumarJune 09, 2026 -
- AI
- Dev Rel
- OpenSearch
Optimizing AI Search in OpenSearch: A practical guide
Learn how to build production-ready AI search in OpenSearch. This practical guide covers OpenSearch vector search, hybrid search, k-NN search, Lucene vs. Faiss, cluster tuning, and measuring search quality
Learn MoreKassian WrenJune 05, 2026 -
- Dev Rel
- OpenSearch
How to create a hybrid search pipeline in OpenSearch®
Hybrid search in OpenSearch is a retrieval method that combines multiple search techniques, such as keyword matching and semantic vector search, into a single, unified result set. When you search strictly with keyword matching or solely with semantic, you’re losing some of the query’s intent. This strategy can also make things difficult when dealing with...
Learn MoreKassian WrenJune 04, 2026 -
- Apache Iceberg
- Apache Kafka
- ClickHouse
- Dev Rel
- News
Kafka® to Iceberg: Build a queryable data lake with ClickHouse®
That’s ClickHouse below querying an Iceberg table on S3 within 0.31 seconds to read metadata and return the first rows. No Spark job, no data movement, and no separate warehouse layer to manage. By the end of this article, you’ll have the full pipeline running and understand why each component exists—not just how to configure...
Learn MoreWalt RibeiroJune 03, 2026