Sirix

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SirixDB is an embeddable, bitemporal, append-only database system that stores immutable lightweight snapshots. It keeps the full history of each resource, allowing queries of any revision as fast as the latest.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is sirix?

SirixDB is an embeddable, bitemporal, append-only database system and event store designed to keep the full history of each resource. Unlike traditional databases that overwrite data, SirixDB stores immutable lightweight snapshots, ensuring that every revision is a first-class citizen. It uses structural sharing, where only changed pages are written, and unchanged data is shared between revisions via copy-on-write, leading to efficient storage. SirixDB tracks both transaction time (when committed) and valid time (when true in the real world), providing a robust audit trail. It offers various page versioning strategies, including FULL, INCREMENTAL, DIFFERENTIAL, and SLIDING SNAPSHOT, to balance storage cost and read performance. The system is embeddable as a single JAR or can run as a REST server, and provides CLI tools for database operations.

Best used for

Ideal for developers and data scientists who need to maintain a complete, immutable history of their data, perform time-travel queries, and implement robust auditing. Especially valuable for applications requiring bitemporal data management and efficient storage of historical snapshots.

Common actions

manage data history

query past revisions

store immutable data

implement event sourcing

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Capabilities

Key features

Bitemporal versioning
Append-only storage
Structural sharing
Snapshot isolation
Embeddable database
CLI tools
Page-level versioning

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is bitemporal versioning in SirixDB?

Bitemporal versioning in SirixDB means it tracks two types of time: transaction time (when data was committed to the database) and valid time (when the data was true in the real world). This allows users to query data based on when it was recorded and when it was actually valid, providing a comprehensive historical view.

How does SirixDB achieve efficient storage for historical data?

SirixDB uses structural sharing and a copy-on-write mechanism. When data is modified, only the changed pages are written, and unchanged pages are referenced from previous revisions. This append-only approach ensures that storage cost is proportional to the changes per revision, not the total data size multiplied by revisions.

Can SirixDB be used as an embedded database?

Yes, SirixDB is designed to be embeddable. It can be used as a single JAR file with no external dependencies, making it easy to integrate directly into applications. Alternatively, it can also be run as a standalone REST server for more distributed deployments.

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