Supported in ClickHouse, Apache Parquet has use cases other than just a storage format in the Hadoop ecosystem. See what results we got when we tested it in Altinity.Cloud to query Parquet files at S3 with the same efficiency as with MergeTree tables.
We used to think batch processing saved us money and that real-time data was too difficult and expensive to build and maintain. In recent years, powerful databases like ClickHouse have made real-time analytics affordable and accessible to everyone. Join Tinybird CEO Jorge Sancha and Altinity CEO Robert Hodges as they discuss the shift to real-time data.
In this live stream, we’ll discuss the following with two CEOs at the forefront of the real-time revolution:
What is real-time data, and why has it historically been so hard?
What recent technological developments have made real-time affordable and accessible for all?
What is ClickHouse, and why do Tinybird and Altinity love it so much?
Tinybird and Altinity’s respective visions for real-time data.
Everyone knows ClickHouse is fast.
How about cheap?
This talk reveals the secrets of ClickHouse champion cheapskates to reduce costs and still deliver outstanding performance. The list runs from developing apps on laptops with Docker Compose all the way to cost optimization in the public cloud. We’ll also consider application tuning, TTL clauses, tiered storage, caches, and more.
Finally, we’ll preview the roadmap for cost-efficiency improvements, such as better support for object storage.
Our talk is for ClickHouse hackers who want to save big money.
Join us and bring your cost questions!
How much do you know about ClickHouse ReplacingMergeTree? Learn about this powerful engine, how it works, and all its functionalities — old and new — so you can build real-time synchronization pipelines from OLTP databases like MySQL.
How to transform data during data warehouse loading is a hot topic: Transform during loading (ELT) or in the database (ETL)? The correct answer is “yes”. Our webinar shows how to combine RudderStack and ClickHouse to build data pipelines that transform data cleanly and efficiently. We’ll start by defining standard transformations, then demonstrate how to implement them in RudderStack, ClickHouse, or both. The result is data pipelines that are simple, fast, and easy to maintain. Join us to learn the tricks of real-time data loading from our experts!
Accidental storage deletion is preventable with the Altinity Kubernetes Operator for ClickHouse. Avoid accidents with reclaimPolicy: retain.
Building analytic applications on ClickHouse? Great choice!
In this talk, we’ll show 7 tricks to develop analytic apps that are fast, cost-efficient, and easy to maintain. They include loading data from S3, using aggregation instead of joins, applying materialized views, using compression effectively, and many others. As you learn them you’ll also gain insight into how column storage, parallel processing, and distributed algorithms make ClickHouse the fastest analytic database on the planet.
Join us to unleash the power of real-time data today!
This joint-webinar with Altinity and OpsVerse will show how OpsVerse is changing the observability game with real-time analytics on ClickHouse and software from Altinity. This talk is a two-fer: learn about how OpsVerse helps with observability and get inspiration to apply ClickHouse real-time analytics to your applications.