scylladb/scylladb
NoSQL data store using the Seastar framework, compatible with Apache Cassandra and Amazon DynamoDB observed · 2026-08-28
Health v2 · maintenance only
77/100
- Activity 99
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4270
- days_rel: n/a
- days_push: 7
- n_releases_24m: 0
Adoption not part of the score
15723 stars · 1512 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
ScyllaDB is an open-source, high-performance NoSQL wide-column data store built in C++ on the shared-nothing Seastar framework. It is API-compatible with Apache Cassandra (CQL) and Amazon DynamoDB (via Alternator), delivering predictable low latency and high throughput on commodity hardware.
Use cases
- run a Cassandra-compatible NoSQL database with better performance
- self-host a DynamoDB-compatible database outside AWS
- store time-series or IoT telemetry at millions of ops per second
- migrate off Apache Cassandra to reduce hardware costs
- power real-time AI and recommendation workloads with low-latency lookups
- scale a wide-column datastore to billions of rows across a cluster
- run a vector search database for AI applications
When to choose
- you need Cassandra or DynamoDB API compatibility with lower latency and fewer nodes
- you have data-intensive workloads requiring predictable single-digit millisecond latencies
- you want a self-hosted or cloud-managed horizontally scalable NoSQL store
- you need high throughput on commodity or cloud hardware
When to avoid
- you need relational features like joins, foreign keys, or ACID transactions across entities
- your dataset is small enough for a single-node relational or document database
- you cannot operate a distributed database cluster or meet its Linux/hardware tuning requirements
- you need strong ad-hoc query flexibility rather than key-based access patterns
Facets
service · maturity stable
database caching vector-database databases big-data backend cloud self-hosted cpp nosql cassandra-compatible dynamodb-compatible seastar wide-column-store distributed-database low-latency real-time linux docker kubernetes
8 sources
- readme: https://github.com/scylladb/scylladb · fetched 2026-08-28 · e0d64ec0dbb7
- homepage: http://scylladb.com · fetched 2026-08-29 · 02481b88ac91
- site_page: https://docs.scylladb.com · fetched 2026-08-29 · 44136fa355b3
- site_page: https://docs.scylladb.com/manual/stable/getting-started/install-scylla/index.html · fetched 2026-08-29 · f0ad66ce6a4a
- site_page: https://docs.scylladb.com/ · fetched 2026-08-29 · 44136fa355b3
- site_page: https://www.scylladb.com/product/scylla-enterprise · fetched 2026-08-29 · 554da67739df
- site_page: https://www.scylladb.com/pricing · fetched 2026-08-29 · 3d0d577343d4
- site_page: https://www.scylladb.com/company · fetched 2026-08-29 · 66b51371580d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| scylladb/scylladb | main | 77 |
For agents
markdown · JSON · MCP: product_card(name="scylladb/scylladb")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem