A recent blog post from Gartner caught our attention at Altinity. The title is The Future of Database Management Systems is Cloud! and it makes the not-so sensational claim that public cloud is now the default platform for managing data.What’s…
July 24, 2019If you’re a business that manages a lot of commercial data, and you need a solution that reliably stores and analyzes that information, then this call is for you!Robert Hodges, Altinity CEO with Rick Nuske, My Future Business
July 10, 2019Modern analytical databases would not exist without efficient data compression. Storage gets cheaper and more performant, but data sizes typically grow even faster. Moore’s Law for big data outperforms its analogy in hardware. In our blog we already…
July 8, 2019Robert Hodges and Alexander Zaitsev on Data Engineering Podcast with Tobias Macey The market for data warehouse platforms is large and varied, with options for every use case. ClickHouse is an open source, column-oriented database engine built for…
July 1, 2019Large datasets are critical for anyone trying out or testing ClickHouse. ClickHouse is so fast that you typically need at least 100M rows to discern differences when tuning queries. Also, killer features like materialized views are much more…
Materialized views are a killer feature of ClickHouse that can speed up queries 200X or more. Our webinar will teach you how to use this potent tool starting with how to create materialized views and load data. We’ll then walk…
June 11, 2019The most interesting innovations in databases come from asking simple questions. For example: what if you could run ClickHouse queries without a server or attached storage? It would just be SQL queries and the rich ClickHouse function library….
June 10, 2019The last two weeks have been a busy time for ClickHouse-related events. Altinity as well as the Yandex teams have been doing a world tour that included events in the US as well as Asia. Besides the opportunity…
This talk shows how to get a sub-second response from datasets containing a billion rows or more. We’ll start with defining schema and loading quickly data in parallel. We will then introduce tricks like LowCardinality datatype, ASOF joins, and materialized…
May 23, 2019ClickHouse offers incredible flexibility to solve almost any business problem in a multiple of ways. Schema design plays a major role in this. For our recent benchmarking using the Time Series Benchmark Suite (TSBS) we replicated TimescaleDB schema…
May 21, 2019One of our customers recently had a problem using CickHouse: the simple workflow of load-analyze-present wasn’t as efficient as they were expecting. The body of the problem was with loading and presenting IPv4 and IPv6 addresses, which are…
May 3, 2019The previous post surveyed connectivity benchmarks for ClickHouse to estimate general performance of server concurrency. In this next post we will take on real-life examples and explore concurrency performance when actual data are involved.
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