ksqlDB

The database purpose-built for stream processing applications.

[ksqlDB @ksqlDB]

Release time! ksqlDB 0.27 is here, touting:
- Support for @apachekafka topics with multiple schemas
- Pull queries that speak Protobuf
- New directives to assert topic and schema prerequisites
- Aggregations without grouping

Read more from the team, here: https://t.co/uh5B5veAM2

[Kaivalya Apte - The Geek Narrator @thegeeknarrator]

Deep dive into @ksqlDB with @MatthiasJSax is now LIVE on The GeekNarrator youtube channel. We have covered a lot of ground, so sit tight, relax and enjoy the episode. Also please (if you haven't yet), subscribe to the channel https://t.co/8H3CyDVECP #Kafka

[Kaivalya Apte - The Geek Narrator @thegeeknarrator]

KsqlDb with @MatthiasJSax releasing soon. Loved recording it, loving the editing. Learning new stuff is always fun. Stay tuned folks! #SoftwareEngineering #ksql #Kafka #streams

[ksqlDB @ksqlDB]

ksqlDB 0.28.2 is here! https://t.co/IosjoEaZe1

This release also includes significant improvements in Confluent Cloud, including Terraform support, faster provisioning, larger clusters, better observability, and an automatic topic import wizard:

[ksqlDB @ksqlDB]

ksqlDB 0.26 has launched with support for RIGHT joins, multi-message Protobuf schemas, improvements to dereferencing, and more!

Check out the team's release post for the full story: https://t.co/Z36mT7zZuo

[Kris Jenkins (@[email protected]) @krisajenkins]

This week’s podcast is framed as a Flink vs Kafka Streams vs ksqlDB debate, but if you ask me the winner is anyone who learns some new stream-processing techniques. 😀

Comparing Stream Processing Tools https://t.co/DCYw0dRMoU with @MatthiasJSax and @jwfbean.

[Confluent @confluentinc]

.@krisajenkins welcomes @TheDanicaFine back to #StreamingAudio, where she explains how she used @ksqlDB Raspberry Pi, and other tools to hack together a practical @apachekafka-based data pipeline that alerts her phone when her houseplants need watering🌱 https://t.co/rRIhoARDl8

[ksqlDB @ksqlDB]

Open office hours will begin in ~1 hour at 9am PT! Please find instructions on how to join the session in our community Slack:
https://t.co/yL0cAiFMqR

[ksqlDB @ksqlDB]

Tomorrow we will be doing an open office hours session via Zoom at 9am PT (GMT-7). Any and all are welcome to come with questions and feedback, or just to hang out for a bit. Zoom link will be shared before the session. We'll see you there!

[ksqlDB @ksqlDB]

We are pleased to announce ksqlDB 0.25.1! It adds support for passing Structs, Arrays, and Maps to certain core aggregate functions, adds at-least-once delivery for the Java client's push query API, and more.

Check out the announcement for more details:

https://t.co/XaWslzo9Fr

[ksqlDB @ksqlDB]

ksqlDB 0.24 is here! It touts highly-requested features for manipulating JSON, reading @apachekafka headers, applying specific Schema Registry schemas, limiting pull query results, and more.

Check out the announcement for the details: https://t.co/TQsIecYAVI

[ksqlDB @ksqlDB]

🧑‍💻 Soon, working with JSON will get even easier. Here's KLIP 59, adding JSON functions to ksqlDB's built-ins. https://t.co/l48GpcdqKO

[Maciej Szymczyk @maciej_szymczyk]

The fusion of the Cybersecurity and Big Data worlds offers incredible opportunities. ksqlDB can be an interesting part of SIEM architecture and detection engineering.

https://t.co/ibCip72gu1

#kafka #apachekafka #ksqldb #cybersecurity #siem #packetbeat #streamprocessing

[ksqlDB @ksqlDB]

🗞️ ksqlDB 0.23 is officially live! Headlines:
- Easily pinpoint records in your @apachekafka topic using pull queries over streams
- Leverage Kafka offset and partition information on query results
- Fine-tune join results with new grace period support

https://t.co/vgUPFVF2tp

[ksqlDB @ksqlDB]

@Daff_e_Russi @confluentinc @omadahealth @ryancquan Try our Slack community for more help, but these two links should help quickly:

- https://t.co/619VaAtdHi

- https://t.co/LbK0BGseRV

[Confluent @confluentinc]

Ready to learn more about @ksqlDB basics and building real-time @apachekafka applications? @thoughtworks' @SimonAubury joins @tlberglund on #StreamingAudio to discuss ksqlDB fundamentals and how to use ksqlDB to figure out which plane wakes his cat Snowy: https://t.co/gGAbPFPgGH

[ksqlDB @ksqlDB]

@MrLarrieu @apachekafka You got it!

[ksqlDB @ksqlDB]

How do you share unique subsets of @apachekafka topic data with many thousands of concurrent clients? Server-side filtering has long been a challenging task.

As of yesterday, ksqlDB has a unique solution to it. https://t.co/kn0ULK93Hm

[ksqlDB @ksqlDB]

@TechJournalist @byte_array @jaykreps Real-time materialized views, even. Added two years ago. :-) Quick example https://t.co/HXxtBTcEcE

[ksqlDB @ksqlDB]

🎁 Say hello to ksqlDB 0.22! This release:

- Makes it trivial to query materializations of @apachekafka topics

- Dramatically improves range scan performance

- Largely increases how many concurrent push queries you can run

Read the full notes: https://t.co/LWOUy3TgvD