meerkat VS duckdb-wasm

Compare meerkat vs duckdb-wasm and see what are their differences.

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meerkat duckdb-wasm
1 14
53 1,024
- 6.4%
8.5 9.5
8 days ago 5 days ago
TypeScript C++
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

meerkat

Posts with mentions or reviews of meerkat. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-15.

duckdb-wasm

Posts with mentions or reviews of duckdb-wasm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-06-26.
  • What Happens When You Put a Database in the Browser?
    5 projects | news.ycombinator.com | 26 Jun 2024
    I tried https://shell.duckdb.org/, but it was a very rough experience.

    The "delete" button does not work. The "home" button inserts a whitespace. Pasting with "Ctrl+v" also does not work. Every keypress results in blinking, and there is a notable input lag.

    When I tried a query

        duckdb> SELECT * FROM 'https://clickhouse-public-datasets.s3.amazonaws.com/github_events/partitioned_json/*.gz'
  • Big Data Is Dead
    3 projects | news.ycombinator.com | 27 May 2024
    I witness the overengineering regarding "big" data tools and pipelines since many years... For a lot of use cases, data warehouses and data lakes are only in the gigabytes or single-digit terabytes range, thus their architecture could be much more simplified, e.g. running DuckDB on a decent EC2 instance.

    In my experience, doing this will yield the query results faster than some other systems even starting the query execution (yes, I'm looking at you Athena)...

    I even think that a lot of queries can be run from a browser nowadays, that's why I created https://sql-workbench.com/ with the help of DuckDB WASM (https://github.com/duckdb/duckdb-wasm) and perspective.js (https://github.com/finos/perspective).

  • Lo – simple WASM native language
    11 projects | news.ycombinator.com | 26 May 2024
  • Parquet-WASM: Rust-based WebAssembly bindings to read and write Parquet data
    5 projects | news.ycombinator.com | 22 Apr 2024
    i think duckdb-wasm is closer to 6MB over wire, but ~36MB once decompressed. (see net panel when loading https://shell.duckdb.org/)

    the decompressed size should be okay since it's not the same as parsing and JITing 36MB of JS.

  • 42.parquet – A Zip Bomb for the Big Data Age
    1 project | news.ycombinator.com | 26 Mar 2024
  • Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
    11 projects | news.ycombinator.com | 15 Mar 2024
    Hey HN! We’ve built Pretzel, an open-source data exploration and visualization tool that runs fully in the browser and can handle large files (200 MB CSV on my 8gb MacBook air is snappy). It’s also reactive - so if, for example, you change a filter, all the data transform blocks after it re-evaluate automatically. You can try it here: https://pretzelai.github.io/ (static hosted webpage) or see a demo video here: https://www.youtube.com/watch?v=73wNEun_L7w

    You can play with the demo CSV that’s pre-loaded (GitHub data of text-editor adjacent projects) or upload your own CSV/XLSX file. The tool runs fully in-browser—you can disconnect from the internet once the website loads—so feel free to use sensitive data if you like.

    Here’s how it works: You upload a CSV file and then, explore your data as a series of successive data transforms and plots. For example, you might: (1) Remove some columns; (2) Apply some filters (remove nulls, remove outliers, restrict time range etc); (3) Do a pivot (i.e, a group-by but fancier); (4) Plot a chart; (5) Download the chart and the the transformed data. See screenshot: https://imgur.com/a/qO4yURI

    In the UI, each transform step appears as a “Block”. You can always see the result of the full transform in a table on the right. The transform blocks are editable - for instance in the example above, you can go to step 2, change some filters and the reactivity will take care of re-computing all the cells that follow, including the charts.

    We wanted Pretzel to run locally in the browser and be extremely performant on large files. So, we parse CSVs with the fastest CSV parser (uDSV: https://github.com/leeoniya/uDSV) and use DuckDB-Wasm (https://github.com/duckdb/duckdb-wasm) to do all the heavy lifting of processing the data. We also wanted to allow for chained data transformations where each new block operates on the result of the previous block. For this, we’re using PRQL (https://prql-lang.org/) since it maps 1-1 with chained data transform blocks - each block maps to a chunk of PRQL which when combined, describes the full data transform chain. (PRQL doesn’t support DuckDB’s Pivot statement though so we had to make some CTE based hacks).

    There’s also an AI block: This is the only (optional) feature that requires an internet connection but we’re working on adding local model support via Ollama. For now, you can use your own OpenAI API key or use an AI server we provide (GPT4 proxy; it’s loaded with a few credits), specify a transform in plain english and get back the SQL for the transform which you can edit.

    Our roadmap includes allowing API calls to create new columns; support for an SQL block with nice autocomplete features, and a Python block (using Pyodide to run Python in the browser) on the results of the data transforms, much like a jupyter notebook.

    There’s two of us and we’ve only spent about a week coding this and fixing major bugs so there are still some bugs to iron out. We’d love for you to try this and to get your feedback!

  • DuckDB-WASM: WebAssembly Version of DuckDB
    1 project | news.ycombinator.com | 22 Jan 2024
  • Show HN: DuckDB-WASM, execute queries in a browser, and share them as links
    1 project | news.ycombinator.com | 19 Dec 2023
    Amazing, I was eagerly waiting for this one. Loading extensions in previous DuckDB-WASM releases didn't work seamlessly. Looks like now it's the case :D

    ref: https://github.com/duckdb/duckdb-wasm/issues/1542#issuecomme...

    Thanks!!

  • DuckDB 0.9.0
    3 projects | news.ycombinator.com | 26 Sep 2023
    Btw, it's already happening:

    Go to https://shell.duckdb.org, and type

  • Does anyone else hate Pandas?
    2 projects | /r/dataengineering | 11 Jun 2023
    I like Pandas, but you will love duckdb, which is solving this exact problem: https://duckdb.org/; https://shell.duckdb.org/

What are some alternatives?

When comparing meerkat and duckdb-wasm you can also consider the following projects:

web-llm - High-performance In-browser LLM Inference Engine

mutable - A Database System for Research and Fast Prototyping

chdb - chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse

ch32v003fun - Open source minimal stack for the ch32 line of WCH processors, including the ch32v003, a 10¢ 48 MHz RISC-V Microcontroller - as well as many other chips within the ch32v/x line.

bacalhau - Compute over Data framework for public, transparent, and optionally verifiable computation

xlsx-wasm-parser - A WebAssembly wrapper over the Rust Calaminecrate, bringing Blazingly Fast (🔥) XLSX deserialization to the browser and Node.

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

onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

pgress - Native PostgreSQL JavaScript client library for web browsers

explorer - Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir

TablaM - The practical relational programing language for data-oriented applications

tad - A desktop application for viewing and analyzing tabular data

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.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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