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SlateDB - Database Management Tool

SlateDB

SlateDB

Store data using object storage backends

Cost

Free

Rating

Mixed Reviews

Time to value

Quick Setup (< 1 hour)

You can use SlateDB to build applications that need a key-value database without managing local disk storage. It stores all data on object storage services like S3, providing high durability and allowing multiple readers to access the same data. The database supports ACID transactions, range scans, and time-to-live features. You get automatic data replication across storage systems without network costs, plus built-in checkpoints and snapshots for data recovery.

What SlateDB does

Set up key-value storage using S3 or compatible servicesRead and write data using ACID transactionsScan data across key ranges for analyticsConfigure automatic data expiration with TTLCreate data snapshots for backup and recoveryScale read operations across multiple application instancesIntegrate database into Rust, Python, or Go applicationsMonitor and tune database compaction processesStores data directly on object storage without local disksSupports multiple concurrent readers on same datasetACID transaction support with rollback capabilitiesRange scans across key rangesTime-to-live automatic data expirationBuilt-in checkpoints and snapshots for recoverySeparate compaction process for performance tuningAvailable in Rust, Python, and Go languages

Tutorials & Demos

Frequently asked

AWS S3

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SlateDB, embedded database, object storage, key-value database, S3, ACID transactions, range scans, TTL, checkpoints, snapshots, Rust, Python, Golang, diskless architecture, data durability