Ingestr
Claim this toolIngest data from any source to any destination with simple command-line flags.
Free, no paid tier Visit WebsiteThe Bottom Line
- Price
- Free, no paid tier. Compare plans
Key facts
- Command-line tool for data ingestion.
- Supports copying data from any source to any destination.
- Offers incremental loading capabilities (append, merge, delete+insert).
Pros
- Simplifies data ingestion without coding.
- Easy to install and use via command line.
- Supports various incremental loading strategies.
- Eliminates the need for backend management.
Cons
- Relies on command-line interface, which might not suit all users.
- Vanilla pip installation is slower.
What is Ingestr?
Available on: Web
Key Features
- Command-line interface (CLI)
- Data ingestion from any source
- Data ingestion to any destination
- Incremental loading (append)
- Incremental loading (merge)
- Incremental loading (delete+insert)
- No code required
- Single-command installation
Pricing Plans
Pricing checked Oct 5, 2026. Source: bruin-data.github.io/ingestr, read Oct 5, 2026
| Plan | Price | Details |
|---|---|---|
| Free | Free |
|
Is Ingestr worth the price?
Ingestr's pricing is extremely generous, offering a fully functional data ingestion tool for free.
This makes it an excellent choice for individual developers, small teams, or anyone needing to move data without budget constraints. It's best for users who prioritize cost-effectiveness and command-line simplicity.
Ingestr by the numbers
| Metric | Ingestr | Peer median | Position (1 is best) |
|---|---|---|---|
| Free plan | Yes | 61% have one | n/a |
| Integrations listed | 15 | 3 | #3 of 22 tools with at least one integration recorded |
Each position is counted among the tools that have data for that row, as noted under it. All ETL & Data Pipelines data · How we compute this. Advertising and placement fees are not inputs to any position.
Cite this: Toolradar, “Ingestr by the numbers”, Oct 2026.
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Ingestr FAQ
How does Ingestr simplify data ingestion for developers?
Which teams would benefit most from using Ingestr?
How does Ingestr compare to tools like Singer for data movement?
What kind of incremental loading strategies does Ingestr support?
Does Ingestr include a free tier?
What are the main trade-offs when choosing Ingestr for data pipelines?
Can Ingestr be used to move data from databases to other destinations?
Source: bruin-data.github.io