Software Alternatives & Reviews

MonetDB VS OctoSQL

Compare MonetDB VS OctoSQL and see what are their differences

MonetDB logo MonetDB

Column-store database

OctoSQL logo 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
  • MonetDB Landing page
    Landing page //
    2023-09-23
  • OctoSQL Landing page
    Landing page //
    2023-08-26

MonetDB videos

MonetDB on Azure - Deployment and First Query

More videos:

  • Review - My uninformed attempt at running open source high speed monetDB
  • Review - DB2 — Chapter 03 — Video #10 — Column storage in MonetDB, NSM vs. DSM, positional BAT "joins"

OctoSQL videos

No OctoSQL videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to MonetDB and OctoSQL)
Relational Databases
100 100%
0% 0
Databases
20 20%
80% 80
Database Tools
0 0%
100% 100
Big Data
34 34%
66% 66

User comments

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

MonetDB mentions (0)

We have not tracked any mentions of MonetDB yet. Tracking of MonetDB recommendations started around Mar 2021.

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 / about 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 / about 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
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What are some alternatives?

When comparing MonetDB and OctoSQL, you can also consider the following products

DuckDB - DuckDB is an in-process SQL OLAP database management system

Materialize - A Streaming Database for Real-Time Applications

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

LNAV - The Log File Navigator (lnav) is an advanced log file viewer for the console.

DataGrip - Tool for SQL and databases

Slicing Pie - Perfect equity splits for Bootstrapped Startups