head to head · open source
parse-server vs bigquery-utils
parse-server has 21,397 GitHub stars, 4,813 forks, 561 open issues and last shipped 2 days ago. bigquery-utils has 1,314 stars, 336 forks, 64 open issues and last shipped 4 months ago. parse-server leads on adoption by 1,528% (21,397 vs 1,314 stars). parse-server is written in JavaScript under Apache-2.0; bigquery-utils is written in Jupyter Notebook under Apache-2.0. parse-server has attracted 22% as many forks as stars, bigquery-utils 26%. parse-server was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| parse-server | bigquery-utils | |
|---|---|---|
| GitHub stars | ★ 21K | ★ 1.3K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | JavaScript | Jupyter Notebook |
| Last push | 2026-11-01 | 2026-07-03 |
| Forks | ⑂ 4.8K | ⑂ 336 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick parse-server if
- You weight community size — 21K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches JavaScript
- You value the larger contributor base for long-term maintenance
pick bigquery-utils if
- You want the bigquery-utils feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Jupyter Notebook
- You evaluated both and bigquery-utils fits your workflow better
About parse-server
[ ][open collective link] [ ][open collective link] Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. Parse Server works with the Express web application framework. It can be added to existing web applications, or run by itself. The full documentation for Parse Server is available in the wiki. The Parse Server guide is a good place to get started. An API reference and Cloud Code guide are also available. If you're interested in developing for Parse Server, the Development guide will help you get set up. A big thank you 🙏 to our sponsors and backers who…
read the full parse-server overview →
About bigquery-utils
BigQuery Utils BigQuery is a serverless, highly scalable, and cost effective cloud data warehouse with an in memory BI Engine and machine learning built in. This repository provides useful utilities to assist you in migration and usage of BigQuery. Getting Started This repository is broken up into: Dashboards Pre built dashboards for common use cases System Tables Looker Studio Dashboards built on BigQuery's INFORMATION SCHEMA metadata views to understand organization's slot and reservation utilization, job execution, and job errors. Notebooks Colab notebooks for various BigQuery related use cases. BigQuery…
read the full bigquery-utils overview →
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Frequently asked questions
Is parse-server or bigquery-utils more popular?
parse-server has 21,397 GitHub stars and bigquery-utils has 1,314. parse-server has the larger community by that measure.
Are parse-server and bigquery-utils free?
Both are open source. parse-server is licensed under Apache-2.0 and bigquery-utils under Apache-2.0. Neither carries a licence fee.
What is the difference between parse-server and bigquery-utils?
parse-server is written in JavaScript and bigquery-utils in Jupyter Notebook. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, parse-server or bigquery-utils?
Choose parse-server if you want the larger community (21,397 stars) or its Apache-2.0 licence terms. Choose bigquery-utils if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.