jq
fx
jello
fzf
HTTPie
Emuto
Bat
Google BigQuery
OctoSQL
LNAV
Materialize
DuckDB
DSQ
Slicing Pie
DataGrip
Freelancer.com
jq OctoSQLNo OctoSQL videos yet. You could help us improve this page by suggesting one.
Based on our record, jq should be more popular than OctoSQL. It has been mentiond 155 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.
I'd you're trying to bring this to a wider audience not already familiar with q, then the name collision with the more widely known jq project is a problem: https://stedolan.github.io/jq/. - Source: Hacker News / 5 months ago
First, we need to install jq via the installer available at https://stedolan.github.io/jq/. - Source: dev.to / 6 months ago
JQ is a lightweight and powerful command-line JSON processor. It's a time-saving tool for manipulating and extracting data from JSON files effortlessly. - Source: dev.to / 8 months ago
If you have jq installed you can use it to make the output look nicer. - Source: dev.to / about 1 year ago
It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks. - Source: dev.to / about 1 year ago
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
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
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
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
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
fx - Command-line JSON processing tool
LNAV - The Log File Navigator (lnav) is an advanced log file viewer for the console.
jello - jello is a command line tool that filters JSON data using pure python syntax.
Materialize - A Streaming Database for Real-Time Applications
fzf - A command-line fuzzy finder written in Go
DuckDB - DuckDB is an in-process SQL OLAP database management system
