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SlateDB
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Added:10/23/2025
Type:Saas
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Pricing:
FREE
Cloud-BasedOpen SourceDevelopersDatabase Management
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What is SlateDB

SlateDB is an embedded storage engine that uses a log-structured merge-tree design and writes everything to cloud object storage. You include it as a library in your Rust applications, and it handles data storage through services like S3 or Google Cloud Storage.

The main advantage is unlimited storage capacity. Cloud storage can hold any amount of data without you managing servers or disks. It also provides automatic backups and can handle multiple readers at once, though only one writer at a time.

The trade-off is slightly higher response times compared to local disk storage. Write operations typically take 50-100 milliseconds. This makes SlateDB perfect for applications where cost and reliability matter more than ultra-fast response times.

How to Use SlateDB

Using SlateDB involves adding it to your Rust project and connecting it to object storage. Here are the steps:

  • Add SlateDB to your project using Cargo by running cargo add slatedb tokio object-store in your terminal.

  • Choose your object storage provider (Amazon S3, Google Cloud Storage, Azure Blob Storage, or others) and set up credentials and bucket access.

  • Write code to open a database connection using the SlateDB library, pointing it to your storage bucket with proper settings.

  • Use simple commands like put, get, and delete to store and retrieve data using key-value pairs.

  • Configure settings like flush intervals, cache sizes, and compression options based on your needs.

  • For production use, set up proper error handling and decide whether writes should wait for cloud confirmation or return immediately.

The library handles all the complex work of managing storage, caching, and keeping data organized.

Features of SlateDB

  • Cloud-native embedded database for Rust applications

  • Unlimited storage through S3, GCS, Azure Blob

  • Single writer with multiple concurrent readers

  • Batched writes reduce API costs

  • Configurable durability and latency trade-offs

  • Built-in compression and caching

  • Transaction support with snapshots

  • Garbage collection and compaction

  • Open source Apache 2.0 license

  • Active community and regular updates

SlateDB Pricing

Most Popular
Free Open Source

Free

What's included:
  • Complete database engine
  • Apache 2.0 license
  • Unlimited storage capacity (based on cloud provider)
  • Support for S3, GCS, Azure Blob, MinIO
  • Transaction support
  • Compression and caching
  • Multiple concurrent readers
  • Community support
  • Full source code access
  • Regular updates and improvements

SlateDB Repository

View on Github
Stars2,405
Forks148
Repository Age1 year
Last Commit5 days ago

FAQ's About SlateDB

Is SlateDB completely free to use?
Yes, SlateDB is 100% free and open source under the Apache 2.0 license. You only pay for the cloud storage costs from providers like AWS S3, Google Cloud Storage, or Azure Blob Storage based on your usage.
What programming languages can I use SlateDB with?
SlateDB is currently built as a Rust library. While it's designed primarily for Rust applications, the project is working on language bindings for other programming languages. You can also generate your own bindings if needed.
How is SlateDB different from traditional databases like PostgreSQL or MySQL?
SlateDB is an embedded database that runs inside your application rather than as a separate server. It stores all data in cloud object storage instead of local disks, giving you unlimited capacity. It's ideal for key-value storage needs rather than complex relational queries.
Can I use SlateDB for production applications?
SlateDB is in active development and improving rapidly. While the core features work well, the project maintainers recommend careful testing for your specific use case before production deployment. Check the latest release notes for current status and stability improvements.
What happens if my application crashes before data is saved?
By default, SlateDB's write operations wait until data is safely stored in cloud storage before confirming success. This ensures no data loss during crashes. You can change this setting for faster writes if you can accept some data loss risk.

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