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Apache Parquet VS SQLite

Compare Apache Parquet VS SQLite and see what are their differences

Apache Parquet logo Apache Parquet

Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.

SQLite logo SQLite

SQLite Home Page
  • Apache Parquet Landing page
    Landing page //
    2022-06-17
  • SQLite Landing page
    Landing page //
    2023-10-21

Apache Parquet videos

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SQLite videos

SQLite | What, Why , Where

More videos:

  • Review - W20 PROG1442 3.3 UWP sqLite Review
  • Tutorial - How To Create SQLite Databases From Scratch For Beginners - Full Tutorial

Category Popularity

0-100% (relative to Apache Parquet and SQLite)
Databases
11 11%
89% 89
Big Data
100 100%
0% 0
Relational Databases
0 0%
100% 100
NoSQL Databases
7 7%
93% 93

User comments

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Social recommendations and mentions

Apache Parquet might be a bit more popular than SQLite. We know about 19 links to it since March 2021 and only 18 links to SQLite. 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.

Apache Parquet mentions (19)

  • [D] Is there other better data format for LLM to generate structured data?
    The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json. Source: 5 months ago
  • Demystifying Apache Arrow
    Apache Parquet (Parquet for short), which nowadays is an industry standard to store columnar data on disk. It compress the data with high efficiency and provides fast read and write speeds. As written in the Arrow documentation, "Arrow is an ideal in-memory transport layer for data that is being read or written with Parquet files". - Source: dev.to / 12 months ago
  • Parquet: more than just "Turbo CSV"
    Googling that suggests this page: https://parquet.apache.org/. Source: about 1 year ago
  • Beginner question about transformation
    You should also consider distribution of data because in a company that has machine learning workflows, the same data may need to go through different workflows using different technologies and stored in something other than a data warehouse, e.g. Feature engineering in Spark and loaded/stored in binary format such as Parquet in a data lake/object store. Source: about 1 year ago
  • Pandas Free Online Tutorial In Python — Learn Pandas Basics In 5 Lessons!
    This section will teach you how to read and write data to and from a variety of file types, including CSV, Excel, SQL, HTML, Parquet, JSON etc. You’ll also learn how to manipulate data from other sources, such as databases and web sites. Source: about 1 year ago
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SQLite mentions (18)

  • Can I have my Lightroom catalogue pointing at two sources...?
    Yes. A Lightroom catalog file is, after all, just a SQLite database. (Srsly, make a copy of your catalog file, rename it whatever.sqlite and use your favorite SQLite GUI to rip it open and look at the tables and fields). It's just storing the pathame to the RAW file for that file's record in the database. Source: 12 months ago
  • Building a database to search Excel files
    I use visidata with a playback script I recorded to open the sheet to a specific Excel tab, add a column, save the sheet as a csv file. Then I have a sqlite script that takes the csv file and puts it in a database, partitioned by monthYear. Source: about 1 year ago
  • Saw this on my friends Snapchat story, this hurts my heart
    Use the most-used database in the world: https://sqlite.org/index.html. Source: over 1 year ago
  • "Managing" a SQLite Database with J (Part 2)
    With this in mind, I wrote a few versions of this post, but I hated them all. Then I realized that jodliterate PDF documents mostly do what I want. So, instead of rewriting MirrorXref.pdf, I will make a few comments about jodliterate group documents in general. If you're interested in using SQLite with J, download the self-contained GitHub files MirrorXref.ijs and MirrorXref.pdf and have a look. - Source: dev.to / almost 2 years ago
  • "Managing" a SQLite Database with J (Part 1)
    SQLite, by many estimates, is the most widely deployed SQL database system on Earth. It's everywhere. It's in your phone, your laptop, your cameras, your car, your cloud, and your breakfast cereal. SQLite's global triumph is a gratifying testament to the virtues of technical excellence and the philosophy of "less is more.". - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing Apache Parquet and SQLite, you can also consider the following products

Apache Arrow - Apache Arrow is a cross-language development platform for in-memory data.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

MySQL - The world's most popular open source database

Apache ORC - Apache ORC is a columnar storage for Hadoop workloads.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.