Comparison
electric vs matrixone
Verdict
Pick electric if electric is a platform facilitating data synchronization with Postgres via HTTP API or client integrations, leveraging CRDTs for conflict-free replicated data types; pick matrixone if matrixOne is designed for AI-native projects needing hybrid transactional and analytical processing capabilities with integrated vector search and Git-for-Data options.
Markdown twin · electric alternatives · matrixone alternatives
GraphCanon updated 4w
Trust & integrity
| Signal | electric | matrixone |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1mo · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1mo · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- electric
- An agent platform built on sync.
- matrixone
- AI-native HTAP database with Git-for-Data and built-in vector search
Stars
- electric
- 10k
- matrixone
- 1.9k
Forks
- electric
- 349
- matrixone
- 305
Open issues
- electric
- 258
- matrixone
- 751
Language
- electric
- TypeScript
- matrixone
- Go
Adopt for
- electric
- Electric is a platform facilitating data synchronization with Postgres via HTTP API or client integrations, leveraging CRDTs for conflict-free replicated data types.
- matrixone
- MatrixOne is designed for AI-native projects needing hybrid transactional and analytical processing capabilities with integrated vector search and Git-for-Data options.
Persona
- electric
- -
- matrixone
- -
Runtime
- electric
- -
- matrixone
- -
License
- electric
- Apache-2.0
- matrixone
- Apache-2.0
Last pushed
- electric
- Jul 17, 2026
- matrixone
- Jul 21, 2026
Categories
- electric
- AI Agents, Data & Retrieval
- matrixone
- AI Agents, Data & Retrieval, Vector Databases
Trust and health
Days since push
- electric
- 2d
- matrixone
- 0d
Open issues (now)
- electric
- 258
- matrixone
- 751
Full report
- electric
- Trust report
- matrixone
- Trust report
Choose electric if…
- electric is primarily TypeScript; matrixone is Go.
- Tags unique to electric: agent, crdt, crdts, data.
- You require conflict-free replication for distributed systems where ensuring consistency and managing concurrent updates are critical.
When NOT to use electric
- If your project does not involve handling concurrent updates across multiple nodes or needs minimal consistency guarantees since Electric's strength lies in its robust synchronization mechanisms.
- For scenarios where the primary requirement is rapid data retrieval (read-heavy operations) from a central database without much need for distributed sync capabilities, as Electric might introduce an
Choose matrixone if…
- matrixone is primarily Go; electric is TypeScript.
- Tags unique to matrixone: ai-native, cloud-native, distributed-database, distributed-systems.
- Also covers Vector Databases.
- When you require an HTAP solution that also supports efficient integration of AI components like vector searches within a database environment
When NOT to use matrixone
- When the primary focus is on operations that do not benefit from vector search capabilities, as this might add unnecessary overhead
- In scenarios where maintaining multiple data versions using Git-like features for each transaction or query significantly impacts performance
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (electric-sql/electric) · observed Jul 20, 2026
- GitHub forks (electric-sql/electric) · observed Jul 20, 2026
- Last push (electric-sql/electric) · observed Jul 17, 2026
- License file (Apache-2.0) · observed Jul 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (matrixorigin/matrixone) · observed Jul 22, 2026
- GitHub forks (matrixorigin/matrixone) · observed Jul 22, 2026
- Last push (matrixorigin/matrixone) · observed Jul 21, 2026
- License file (Apache-2.0) · observed Jul 22, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: electric 10k · matrixone 1.9k (synced Jul 20, 2026).
Common questions
- What is the difference between electric and matrixone?
- electric: An agent platform built on sync.. matrixone: AI-native HTAP database with Git-for-Data and built-in vector search. See the comparison table for live GitHub stats and shared categories.
- When should I choose electric over matrixone?
- Choose electric over matrixone when electric is primarily TypeScript; matrixone is Go; Tags unique to electric: agent, crdt, crdts, data; You require conflict-free replication for distributed systems where ensuring consistency and managing concurrent updates are critical.
- When should I choose matrixone over electric?
- Choose matrixone over electric when matrixone is primarily Go; electric is TypeScript; Tags unique to matrixone: ai-native, cloud-native, distributed-database, distributed-systems; Also covers Vector Databases; When you require an HTAP solution that also supports efficient integration of AI components like vector searches within a database environment.
- When should I avoid electric?
- If your project does not involve handling concurrent updates across multiple nodes or needs minimal consistency guarantees since Electric's strength lies in its robust synchronization mechanisms. For scenarios where the primary requirement is rapid data retrieval (read-heavy operations) from a central database without much need for distributed sync capabilities, as Electric might introduce an
- When should I avoid matrixone?
- When the primary focus is on operations that do not benefit from vector search capabilities, as this might add unnecessary overhead In scenarios where maintaining multiple data versions using Git-like features for each transaction or query significantly impacts performance
- Is electric or matrixone more popular on GitHub?
- electric has more GitHub stars (10,274 vs 1,861). Stars measure visibility, not whether either tool fits your constraints.
- Are electric and matrixone open source?
- Yes - both are open-source projects on GitHub (electric: Apache-2.0, matrixone: Apache-2.0).
- Where can I find alternatives to electric or matrixone?
- GraphCanon lists graph-backed alternatives at electric alternatives and matrixone alternatives (electric markdown twin, matrixone markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, electric or matrixone?
- electric: Very active. matrixone: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for electric and matrixone?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: electric trust report; matrixone trust report.