Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more. (by multiprocessio)

Dsq Alternatives

Similar projects and alternatives to dsq

  • AutoHotkey

    AutoHotkey - macro-creation and automation-oriented scripting utility for Windows.

  • fzf

    408 dsq VS fzf

    :cherry_blossom: A command-line fuzzy finder

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • jq

    306 dsq VS jq

    Discontinued Command-line JSON processor [Moved to: https://github.com/jqlang/jq] (by stedolan)

  • steampipe

    Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.

  • Ditto

    Ditto is an extension to the Windows Clipboard. You copy something to the Clipboard and Ditto takes what you copied and stores it in a database to retrieve at a later time.

  • gron

    64 dsq VS gron

    Make JSON greppable!

  • xsv

    64 dsq VS xsv

    A fast CSV command line toolkit written in Rust.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  • datafusion

    Apache DataFusion SQL Query Engine

  • q

    46 dsq VS q

    q - Run SQL directly on delimited files and multi-file sqlite databases (by harelba)

  • fx

    50 dsq VS fx

    Terminal JSON viewer & processor

  • dasel

    44 dsq VS dasel

    Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.

  • octosql

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

  • jless

    34 dsq VS jless

    jless is a command-line JSON viewer designed for reading, exploring, and searching through JSON data.

  • zsv

    zsv+lib: tabular data swiss-army knife CLI + world's fastest (simd) CSV parser

  • roapi

    24 dsq VS roapi

    Create full-fledged APIs for slowly moving datasets without writing a single line of code.

  • spyql

    23 dsq VS spyql

    Query data on the command line with SQL-like SELECTs powered by Python expressions

  • textql

    Execute SQL against structured text like CSV or TSV

  • filter

    Simple apply/filter/reduce package.

  • jid

    15 dsq VS jid

    json incremental digger

  • zed

    13 dsq VS zed

    A novel data lake based on super-structured data (by brimdata)

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better dsq alternative or higher similarity.

dsq reviews and mentions

Posts with mentions or reviews of dsq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-02.
  • Tracking SQLite Database Changes in Git
    7 projects | news.ycombinator.com | 2 Nov 2023
    You might want to look at tsv-utils, or a similar project: https://github.com/eBay/tsv-utils

    For the SQL part, but maybe a lot heavier, you can use one of the projects listed on this page: https://github.com/multiprocessio/dsq (No longer maintained, but has links to lots of other projects)

  • DuckDB: Querying JSON files as if they were tables
    9 projects | news.ycombinator.com | 3 Mar 2023
    Welcome to the gang! :)


  • Ask HN: Programs that saved you 100 hours? (2022 edition)
    69 projects | news.ycombinator.com | 20 Dec 2022
  • Command-line data analytics made easy
    6 projects | news.ycombinator.com | 3 Nov 2022
    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 of SQLite, it also supports many data formats, but is slower at the same time.

    OctoSQL is faster, extensible through plugins, and supports incremental query execution, so you can i.e. calculate a running group by + count while tailing a log file. It also supports normal databases, not just file formats, so you can i.e. join with a Postgres table.

    [0]: https://github.com/apache/arrow-datafusion

    [1]: https://github.com/multiprocessio/dsq

    [2]: https://github.com/cube2222/octosql

    Disclaimer: Author of OctoSQL

  • Jq Internals: Backtracking
    10 projects | news.ycombinator.com | 5 Oct 2022
    > dsq registers go-sqlite3-stdlib so you get access to numerous statistics, url, math, string, and regexp functions that aren't part of the SQLite base. (https://github.com/multiprocessio/dsq#standard-library)

    Ah, I wondered if they rolled their own SQL parser, but no, I now see the sqlite.go in the repo and all is made clear

  • Run SQL on CSV, Parquet, JSON, Arrow, Unix Pipes and Google Sheet
    9 projects | news.ycombinator.com | 24 Sep 2022
    I am currently evaluating dsq and its partner desktop app DataStation. AIUI, the developer of DataStation realised that it would be useful to extract the underlying pieces into a standalone CLI, so they both support the same range of sources.

    dsq CLI - https://github.com/multiprocessio/dsq

  • multiprocessio / dsq :
    1 project | /r/golang | 1 Sep 2022
  • OctoSQL allows you to join data from different sources using SQL
    13 projects | news.ycombinator.com | 14 Jul 2022
    OctoSQL is an awesome project and Kuba has a lot of great experience to share from building this project I'm excited to learn from.

    And while building a custom database engine does allow you to do pretty quick queries, there are a few issues.

    First, the SQL implemented is nonstandard. As I was looking for documentation and it pointed me to `SELECT * FROM docs.functions fs`. I tried to count the number of functions but octosql crashed (a Go panic) when I ran `SELECT count(1) FROM docs.functions fs` and `SELECT count() FROM docs.functions fs` which is what I lazily do in standard SQL databases. (`SELECT count(fs.name) FROM docs.function fs` worked.)

    This kind of thing will keep happening because this project just doesn't have as much resources today as SQLite, Postgres, DuckDB, etc. It will support a limited subset of SQL.

    Second, the standard library seems pretty small. When I counted the builtin functions there were only 29. Now this is an easy thing to rectify over time but just noting about the state today.

    And third this project only has builtin support for querying CSV and JSON files. Again this could be easy to rectify over time but just mentioning the state today.

    octosql is a great project but there are also different ways to do the same thing.

    I build dsq [0] which runs all queries through SQLite so it avoids point 1. It has access to SQLite's standard builtin functions plus* a battery of extra statistic aggregation, string manipulation, url manipulation, date manipulation, hashing, and math functions custom built to help this kind of interactive querying developers commonly do [1].

    And dsq supports not just CSV and JSON but parquet, excel, ODS, ORC, YAML, TSV, and Apache and nginx logs.

    A downside to dsq is that it is slower for large files (say over 10GB) when you only want a few columns whereas octosql does better in some of those cases. I'm hoping to improve this over time by adding a SQL filtering frontend to dsq but in all cases dsq will ultimately use SQLite as the query engine.

    You can find more info about similar projects in octosql's Benchmark section but I also have a comparison section in dsq [2] and an extension of the octosql benchmark with different set of tools [3] including duckdb.

    Everyone should check out duckdb. :)

    [0] https://github.com/multiprocessio/dsq

    [1] https://github.com/multiprocessio/go-sqlite3-stdlib

    [2] https://github.com/multiprocessio/dsq#comparisons

    [3] https://github.com/multiprocessio/dsq#benchmark

  • GitHub Actions are down again
    2 projects | news.ycombinator.com | 29 Jun 2022
    What's annoying about this is that the PR doesn't even say it's trying to run tests. It says everything is passing and just doesn't list the actions.

    For a second I thought someone must have deleted the actions yaml files.

    This is a dangerous failure mode.


  • Xlite: Query Excel, Open Document spreadsheets (.ods) as SQLite virtual tables
    6 projects | news.ycombinator.com | 25 Jun 2022
    This is a cool project! But if you query Excel and ODS files with dsq you get the same thing plus a growing standard library of functions that don't come built into SQLite such as best-effort date parsing, URL parsing/extraction, statistical aggregation functions, math functions, string and regex helpers, hashing functions and so on [1].

    [0] https://github.com/multiprocessio/dsq

    [1] https://github.com/multiprocessio/go-sqlite3-stdlib

  • A note from our sponsor - InfluxDB
    www.influxdata.com | 26 May 2024
    Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →


Basic dsq repo stats
8 months ago

multiprocessio/dsq is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.

The primary programming language of dsq is Go.

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