StarRocks VS OctoSQL

StarRocks

StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.

OctoSQL

OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL. - cube2222/octosql

Landing page //
2023-09-21

Landing page //
2023-08-26

The Secrets Behind StarRocks' Blazing-Fast Query Performance

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Category Popularity

0-100% (relative to StarRocks and OctoSQL)

OctoSQL

Databases

43 43%

Databases

57% 57

Relational Databases

61 61%

Relational Databases

39% 39

Big Data

0 0%

Big Data

100% 100

Data Warehousing

100 100%

Data Warehousing

0% 0

User comments

Share your experience with using StarRocks and OctoSQL. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, OctoSQL seems to be more popular. It has been mentiond 22 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

StarRocks mentions (0)

We have not tracked any mentions of StarRocks yet. Tracking of StarRocks recommendations started around Jun 2023.

OctoSQL mentions (22)

Analyzing multi-gigabyte JSON files locally
OctoSQL[0] or DuckDB[1] will most likely be much simpler, while going through 10 GB of JSON in a couple seconds at most. Disclaimer: author of OctoSQL [0]: https://github.com/cube2222/octosql. - Source: Hacker News / over 1 year ago
DuckDB: Querying JSON files as if they were tables
This is really cool! With their Postgres scanner[0] you can now easily query multiple datasources using SQL and join between them (i.e. Postgres table with JSON file). Something I strived to build with OctoSQL[1] before. It's amazing to see how quickly DuckDB is adding new features. Not a huge fan of C++, which is right now used for authoring extensions, it'd be really cool if somebody implemented a Rust extension... - Source: Hacker News / over 1 year ago
Show HN: ClickHouse-local – a small tool for serverless data analytics
Congrats on the Show HN! It's great to see more tools in this area (querying data from various sources in-place) and the Lambda use case is a really cool idea! I've recently done a bunch of benchmarking, including ClickHouse Local and the usage was straightforward, with everything working as it's supposed to. Just to comment on the performance area though, one area I think ClickHouse could still possibly improve... - Source: Hacker News / over 1 year ago
Command-line data analytics made easy
SPyQL is really cool and its design is very smart, with it being able to leverage normal Python functions! As far as similar tools go, I recommend taking a look at DataFusion[0], dsq[1], and OctoSQL[2]. DataFusion is a very (very very) fast command-line SQL engine but with limited support for data formats. Dsq is based on SQLite which means it has to load data into SQLite first, but then gives you the whole breath... - Source: Hacker News / over 1 year ago
Steampipe – Select * from Cloud;
To add somewhat of a counterpoint to the other response, I've tried the Steampipe CSV plugin and got 50x slower performance vs OctoSQL[0], which is itself 5x slower than something like DataFusion[1]. The CSV plugin doesn't contact any external API's so it should be a good benchmark of the plugin architecture, though it might just not be optimized yet. That said, I don't imagine this ever being a bottleneck for the... - Source: Hacker News / over 1 year ago