UStore
Multi-Modal Database replacing traditional databases with faster ACID compliant solution
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Decision brief
UStore is a multi-modal database offering faster ACID transactions compared to traditional databases like MongoDB or Neo4J via NetworkX and Pandas interfaces.
Good fit when
- When you need ACID-compliant transactions in handling large volumes of multi-modal data
- For applications needing performance improvements over MongoDB, Neo4J, and ElasticSearch
Avoid when
- In environments where only traditional relational databases are allowed due to legacy constraints
- When specific features of specialized databases like Neo4J (graph analytics) or ElasticSearch (full-text search) are critical and cannot be replaced by alternatives in UStore
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (1086d since push)
- As of today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/unum-cloud/UStoreSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
UStore is a database system that supports multi-modal data storage and retrieval, designed to replace MongoDB, Neo4J, ElasticSearch with faster ACID transactions. It offers interfaces compatible with NetworkX and Pandas and includes bindings for multiple programming languages including C++, Python, Java, GoLang.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 23, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 23, 2026
- Languages
- c++, python
Source: github.language+pyproject.toml · Aug 23, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
UStore
Modular 1 Multi-Modal 2 Transactional 3 Database
For Artificial Intelligence 4 and Semantic Search 5
2. can store: Blobs • Documents • Graphs • 🔜 Features • 🔜 Texts
3: guarantees Atomicity • Consistency • Isolation • Durability
4: comes with Pandas and NetworkX API and 🔜 PyTorch data-loaders
5: brings vector-search integrated with USearch and UForm
packages: PyPI • CMake • Docker Hub
Youtube intro • Discord chat • Full documentation
Quickstart
Installing UStore is a breeze, and the usage is about as simple as a Python dict.
$ pip install ukv
$ python
from ukv import umem
db = umem.DataBase()
db.main[42] = 'Hi'
We have just create an in-memory embedded transactional database and added one entry in its main collection.
Would you prefer that data on disk?
Change one line.
from ukv import rocksdb
db = rocksdb.DataBase('/
For agents
This page has a .md twin and JSON over the API.