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OctoSQL VS jello

Compare OctoSQL VS jello and see what are their differences

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

jello logo jello

jello is a command line tool that filters JSON data using pure python syntax.
  • OctoSQL Landing page
    Landing page //
    2023-08-26
  • jello Landing page
    Landing page //
    2023-08-19

OctoSQL videos

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jello videos

Koolaid Gels Jello Review

More videos:

  • Review - Jello Zombie Brain Gelatin Mold Review

Category Popularity

0-100% (relative to OctoSQL and jello)
Databases
100 100%
0% 0
File Manager
0 0%
100% 100
Big Data
100 100%
0% 0
File Explorer
0 0%
100% 100

User comments

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Social recommendations and mentions

OctoSQL might be a bit more popular than jello. We know about 22 links to it since March 2021 and only 20 links to jello. 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.

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
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jello mentions (20)

  • jq 1.7 Released
    Jello let’s you use python syntax with dot notation without the stdin/stdout/json.loads boilerplate. https://github.com/kellyjonbrazil/jello. - Source: Hacker News / 10 months ago
  • jq 1.7 Released
    A couple more alternatives: https://github.com/kellyjonbrazil/jello. - Source: Hacker News / 10 months ago
  • Simple Apache Log Parser
    Yep, you can create a filter in jq to do that. Alternatively, if you prefer Python syntax you could try jello, which works like jq but is really Python under the hood. (I am also the author of jello). Source: over 1 year ago
  • Jc – JSONifies the output of many CLI tools
    Hi there - I'm the author of `jc`. I also created `jello`[0], which works just like `jq` but uses python syntax. I find `jq` is great for many things but sometimes more complex operations are easier for me to grok in python. [0] https://github.com/kellyjonbrazil/jello. - Source: Hacker News / over 1 year ago
  • An introduction to the magic of jq - Understanding the basics of jq with a realistic example
    I'm no expert in any of these tools, but here are some yamlpath and jello examples to match:. Source: about 2 years ago
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What are some alternatives?

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

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

fx - Command-line JSON processing tool

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

jq - jq is like sed for JSON data - you can use it to slice and filter and map and transform structured...

Materialize - A Streaming Database for Real-Time Applications

Emuto - Emuto is a small language for manipulating and restructuring JSON and other data files.