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Dev tools · August 14, 2024

SlateDB – An embedded storage engine built on object storage

SlateDB is an embedded storage engine built as a log-structured merge-tree. Unlike traditional LSM-tree storage engines, SlateDB writes data to object storage (S3, GCS, ABS, MinIO, Tigris, and so on). Leveraging object storage allows SlateDB to provide bottomless storage capacity, high durability, and easy replication. The trade-off is that object storage has a higher latency and higher API cost than local disk. To mitigate high write API costs (PUTs), SlateDB batches writes. Rather than writing every put() call to object storage, MemTables are flushed periodically to object storage as a…

SlateDB – An embedded storage engine built on object storage launched on August 14, 2024 with 26 votes, #889 of 5,471 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.

Visit github.com ↗Alternativestop 16% of August 2024

In plain words

SlateDB is an embedded storage engine that uses object storage services like S3 and GCS instead of local disk. Built as a log-structured merge-tree, it offers unlimited storage capacity, high durability, and simple replication across systems. To overcome object storage's higher latency and API costs, SlateDB batches writes into periodic flushes and provides an async put method, letting developers choose between strong durability and lower latency. It's designed for applications needing scalable embedded storage without traditional disk constraints.

written from the facts on this page · September 2026

From the sources

A cloud native embedded storage engine built on object storage. - slatedb/slatedb

In the maker’s words, at launch

SlateDB is an embedded storage engine built as a log-structured merge-tree. Unlike traditional LSM-tree storage engines, SlateDB writes data to object storage (S3, GCS, ABS, MinIO, Tigris, and so on). Leveraging object storage allows SlateDB to provide bottomless storage capacity, high durability, and easy…

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