Apache Kudu

An open-source native columnar storage engine that enables fast analytics on fast data.

[Apache Kudu @ApacheKudu]

Kudu 1.15.0 is released with new features including multi-row transactions, simplified multi-master management, TLS v1.3, custom Kerberos principal, table comments, per-table size limits etc.! Check out the release announcement for more details: https://t.co/NWV8HLnxvH

[Apache Kudu @ApacheKudu]

See how @ApacheKudu achieved 3X to 5X performance improvement on @ApacheImpala join queries, with Bloom filter predicate pushdown, in the latest crossposted blog authored by @bankimb: https://t.co/ZPpxlKRYED

[Apache Kudu @ApacheKudu]

Kudu 1.14.0 is released with new features and improvements including Spark 3 support, ignore operations, improved Hive Metastore integration, and a collection of performance and scalability improvements! Check out the release announcement for more details: https://t.co/8RzCYze1Ri

[Apache Kudu @ApacheKudu]

"That’s right we were able to reduce our query runtime from 930ms to 218ms and even as low as 133ms with Apache Kudu!"

[Apache Impala @ApacheImpala]

Great blog about low-latency "speed of thought" analytics in Impala

https://t.co/asRidiz0UQ

[Apache Kudu @ApacheKudu]

Kudu 1.13.0 is now out with new features and improvements, like support for table ownership, Bloom filter predicate pushdown, and support for @Arm based architectures. Check out our release announcement for more details: https://t.co/7Gyz67zhg8

[Apache Kudu @ApacheKudu]

Do you need a #secure #ApacheKudu cluster with fine-grained #authorization? Read @AttilaBukor’s post on the new #ApacheRanger integration here: https://t.co/K9GBySaVz4

[Apache Kudu @ApacheKudu]

In this latest blog post, Boris Tyukin describes in-depth how Cerner uses @ApacheKudu (along with @ApacheImpala, @apachenifi, and @apachekafka) to perform near real-time analytics on healthcare data. https://t.co/s4cHTRMohE

[Apache Impala @ApacheImpala]

👀 some awesome new SQL features landing in master ahead of Apache Impala 4.0 - INTERSECT, EXCEPT, ROLLUP, CUBE, GROUPING SETS, more subquery support.

[ApacheCommunity @ApacheCommunity]

Happy birthday to Apache Kudu! 4 years as an ASF top level project! #ApacheBirthday https://t.co/4k7ICIR9Zh

[Todd Lipcon @tlipcon]

Cool to see @twilio launch Messaging Insights and Super Sim, both with real-time analytics powered by @ApacheKudu and @ApacheCalcite . Looking forward to a post by their team on arch details. https://t.co/4rCm4WOeaB

[Todd Lipcon @tlipcon]

this release includes a bunch of performance improvements I made for time series workloads, as well!

[Apache Kudu @ApacheKudu]

Apache Kudu 1.12.0 is now available, including features like #ApacheRanger support, authenticated web-ui, built-in NTP client, DATE and VARCHAR types, smooth rolling restart, and tons of optimizations and fixes! See the release announcement for details: https://t.co/d6E83it7hH

[Apache Kudu @ApacheKudu]

A great blog post on using @ApacheKudu's Impala Quickstart image to get started with @ApacheImpala SQL queries in @gethue: https://t.co/UPZAL4Lzyv

[Hue Team @gethue]

Want to quick try some SQL queries in @ApacheImpala database within 3 minutes? https://t.co/c3HJiQkhPk #DataWarehouse

[Apache Kudu @ApacheKudu]

"Apache Kudu is able to sustain high levels of ingest throughput whilst delivering fantastic scan performance"

This blog post illustrates a real world end-to-end architecture leveraging the power of @ApacheKudu and its integrations. @ApacheImpala @apachenifi @ApacheSpark

[Cloudera @cloudera]

In this blog post we describe an architecture, and associated controls for privacy, to build a data platform for a nationwide proactive contact tracing solution. https://t.co/reEzMatHCQ

[phData @phdatainc]

New blog alert!🚨 Check out our latest post by phData Principal Solutions Architect @frankrischner and Senior Solutions Architect Donald Sawyer on how to use the Apache Kudu Quickstart on Windows. Read more: https://t.co/rg53w4UQWW #ApacheKudu #KuduQuickstart

[Todd Lipcon @tlipcon]

Nice testimony on @ApacheKudu ingesting 100B time series points per day! (and a hit tip to @cloudera support!)

[grishick @grishick]

This is by far the easiest way to run Impala and Kudu locally. Just tried this on my laptop: https://t.co/IEbMstaJSf @ApacheKudu with @ApacheImpala

[Apache Kudu @ApacheKudu]

More complete demos and examples are coming soon!

[Apache Kudu @ApacheKudu]

Try running @ApacheImpala SQL queries on @ApacheKudu in minutes using the latest quickstart guide!
You can query the data ingested from the @ApacheNiFi and @ApacheSpark quickstart guides too.
https://t.co/G6hCJQtUhS

[Apache Kudu @ApacheKudu]

If you have any issues or questions, please reach out on the Apache Kudu Slack or on the users mailing list. https://t.co/lfbfF9UdLq