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Comment by asteroidtunnel | Hacker News Reader

When I search for "high performance analytical database" in Bing, Ai summarized results are ClickHouse, Apache Druid, Singlestore, Couchbase, and Apache Pinot are considered among the best databases for real-time analytics due to their low query latency and high performance.

In Google, Ai summarized results are ClickHouse, StarRocks, Snowflake, and Google BigQuery.

Clickhouse is there in both of them and Exasol is not mentioned. If these claims were relevant, why is it not in the limelight?

Clickhouse is known to ingest and analyze massive volumes of time-series data in real-time. How good is Exasol for this use case?

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You need to look at use-case alignment as well as performance.

Apache Pinot, Druid and Clickhouse are designed for low-latency analytical queries at high concurrency with continuous ingestion. Pinot is popular because of it's native integration with streaming systems like Kafka, varied indexing, and it's ability to scale efficiently. They're widely used in observability and user-facing analytics – which are how “real-time analytics databases” are commonly perceived today.

Exasol (and SingleStore, Snowflake, BigQuery, etc) are more focused on enterprise BI and complex SQL analytics rather than application serving, or ultra-high ingest workloads. It performs well for structured analytical queries and joins, but it’s less commonly deployed with the user-facing analytics or high volume usage.

A good rundown from Tim Berglund in this video here: https://startree.ai/resources/what-is-real-time-analytics/

In case you have a single table with time-series data, then Clickhouse will perform typically better. It's very much optimized for this type of use cases. Once you are joining tables and having more advanced analytics, than Exasol will easily outperform it.

Exasol has been performance leader for more than 15 years in the market, as you can see in the official TPC-H publications, but has not gotten the broader market attention yet. We are trying to change that now and have recently been more active in the developer communities. We also just launched a completely free Exasol Personal edition that can be used for production use cases.

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