ReductStore is a time-series database designed specifically for blob data, written in C++ and Rust.


ReductStore is a personal project started by Alexey Timin in 2021 with no publicly stated derivations or inspirations from other existing database systems. It has since received monthly releases and bug fixes. Alexey Timin remains the sole major contributor to this project. The project is currently undergoing a major rewrite with Rust and is actively seeking new collaborators to join.


Not Supported


Naïve (Page-Level)

ReductStore packs entries (blobs) that are smaller than the minimum size of file system blocks into larger blocks that are stored as files to reduce wasted disk space. No compression algorithm is applied at any level.

Concurrency Control

Not Supported

Executor tasks are created from query strings strictly in FIFO order of their arrival time. There is no guarantee that tasks will run in the same order as they're created.

Data Model


Each entry is a blob associated with a key and a timestamp. Entries smaller than the file system's minimum file size are grouped and stored together in a block backed by files. A bucket contains multiple blocks. Buckets enforce storage limits (the total blob size and the total number of entries) and write behavior (reject write or delete earliest) when the storage limit is reached .

Deleting a single entry is not supported. The minimum deletion level is a bucket.

Foreign Keys

Not Supported


Block Range Index (BRIN)

Block begin time is defined as the creation time of the block, with microsecond precision. Multiple logical blocks with the same begin time are grouped and stored as a single file on disk. Block start timestamp is embedded in the filename for range queries to perform binary search to locate the first relevant block. No other indexes are supported.

Isolation Levels

Not Supported

No isolation control mechanism is implemented. Effectively Read Uncommitted.


Not Supported

Only range queries and continuous queries are supported.


Not Supported

No logging mechanism is implemented. Pending writes are all lost on system crash.

Query Compilation

Not Supported

Query Execution

Tuple-at-a-Time Model

Each executor scans blocks from files one entry at a time. Executors are allowed to read/write blocks that reside in different files concurrently.

Query Interface


Provides HTTP methods for Entry level read, write, and range query. Provides HTTP methods for Bucket level metadata read, metadata update, create, and remove. Provides HTTP methods for Server level statistics read, bucket statistics read, and engine health check. Provides HTTP methods for token-based access control.

Storage Architecture


Storage Organization

Sorted Files

Blocks are sorted by timestamp, grouped by microsecond level begin time, and stored as individual files on disk. Binary search is used to locate starting entry for range queries.

Stored Procedures

Not Supported

System Architecture


ReductStore is intended for single node deployment.

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