What we’re about
About
We’re delighted to have you join the Elastic global community!
This group is for anyone interested in making data usable in real-time and at scale for use cases like security, observability, enterprise search, and many more, using our Elasticsearch, Kibana, Logstash, and Beats products (https://www.elastic.co/products/).
Speak at a meetup:
The Community wants to hear from you! Present about your Elastic Stack stories, be it a 5-15 minute lightning talk or a detailed 25-45 minute technical presentation with Q&A. Our Speaker Guide is full of tips on giving a stellar presentation. If you’re interested, visit the elastic/call-for-meetups repo or send us an email at meetups@elastic.co.
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All meetups are recorded and uploaded to YouTube within a few days of the event. Subscribe here to stay up to date!
Learn more about Elastic
Elastic Contributor Program: https://www.elastic.co/community/contributor
Elastic Community: https://www.elastic.co/community
Community Newsletter: https://www.elastic.co/community/newsletter
Discussion Forums: https://discuss.elastic.co/
Elastic Cloud Free Trial: https://www.elastic.co/cloud/elasticsearch-service/signup
Code of Conduct
This Meetup community adheres to the Elastic Community Code of Conduct. Attendance to events run as part of this Meetup group means you agree to be an awesome human and engage by these rules.
Upcoming events (1)
See all- One Does Not Simply Query a Stream | Elastic Meetup in StockholmFoo Café, IIS Internetstiftelsen i Sverige, Stockholm
Join us on Tuesday, June 10th for a new meetup with the Elastic Stockholm User Group!
We'll meet each other at Foo Café: doors open at 18.00 and we'll serve pizza and drinks. Presentations begin at 18.30. We wrap up at 20.15.
Address: Foo Café, Internetstiftelsen i Sverige, Hammarby Kajgata 10D, 120 30 Stockholm (website)
Agenda:
18.00 Doors open
18.15 Welcome, pizza and drinks
18.30 One Does Not Simply Query a Stream
19.15 Elastic talk
20.00 Q&A
20.15 Wrap upTalks:
One Does Not Simply Query a Stream
Streaming data with Apache Kafka® has become the backbone of modern applications. While streams are ideal for continuous data flow, they lack built-in querying capabilities. Unlike databases with indexed lookups, Kafka’s append-only logs are designed for high-throughput processing—not for on-demand queries. This necessitates additional infrastructure to query streaming data effectively.Traditional approaches replicate stream data into external stores: relational databases like PostgreSQL for operational queries, object storage like S3 accessed via Flink, Spark, or Trino for analytics, and Elasticsearch for full-text search and log analytics. Each serves a purpose—but they also introduce silos, schema mismatches, freshness issues, and complex ETL pipelines that increase system fragility.In this session, we’ll explore solutions that aim to unify operational, analytical, and search workloads across real-time data. We'll demonstrate stream processing with Kafka Streams, Apache Flink®, and SQL engines; real-time analytics with Apache Pinot® and ClickHouse; search capabilities with Elasticsearch; and modern lakehouse approaches using Apache Iceberg® with Tableflow to represent Kafka topics as queryable tables. While there's no one-size-fits-all solution, understanding the tools and trade-offs will help you design more robust and flexible architectures.Speaker: Viktor Gamov, Principal Developer Advocate, Confluent
Elastic talk tbc
Speaker: Eric Westberg (Principal Solution Architect, Elastic)
