cassandra
Apache Cassandra is a distributed, NoSQL database designed for high-scale write-heavy workloads across clusters. It automatically spreads data across machines and continues operating even if nodes fail, without sacrificing performance.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | apache/cassandra |
| Owner | apache |
| Primary language | Java |
| License | Apache-2.0 — OSI-approved |
| Stars | 9.8k |
| Forks | 3.9k |
| Open issues | 425 |
| Latest release | Unknown |
| Last updated | 2026-07-07 |
| Source | https://github.com/apache/cassandra |
What cassandra is
Cassandra is a partitioned row store using consistent hashing for distribution; rows are organized into tables with required primary keys and queried via CQL (a SQL-like language). It provides tunable consistency, eventual consistency by default, and horizontal linear scalability via automatic repartitioning.
Get the cassandra source
Clone the repository and explore it locally.
git clone https://github.com/apache/cassandra.gitcd cassandra# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Requires careful schema design upfront; denormalization and query-driven modeling are standard (opposite of relational design).
- Tunable consistency (read/write quorum levels) must be configured per use case; default eventual consistency may surprise teams expecting strong consistency.
- Cluster sizing, replication factor, and compaction strategy significantly impact performance and storage; requires operational expertise to tune.
- CQL syntax is similar to SQL but semantically limited; developers must unlearn joins/subqueries and embrace single-partition queries.
- Python 3.x required for cqlsh; Java version compatibility (check build.xml) must align with your environment.
When to avoid it — and what to weigh
- Complex relational queries required — Cassandra has no joins, subqueries, or foreign keys. Applications needing relational integrity should use PostgreSQL or MySQL.
- Strong ACID transactions across partitions needed — While Cassandra supports transactions within a single partition, multi-partition transactions are not atomic. Applications requiring distributed ACID semantics should evaluate CockroachDB or similar.
- Ad-hoc query flexibility — Cassandra requires schema planning upfront; queries must align with the partition key and clustering order. Exploratory or unpredictable query patterns incur performance penalties.
- Small datasets or low-scale deployments — Cassandra's operational complexity (cluster coordination, tuning, monitoring) is overkill for single-node or low-throughput systems; simpler databases are more pragmatic.
License & commercial use
Apache License 2.0 (Apache-2.0), a permissive OSI-approved license. Allows commercial use, modification, and distribution with minimal restrictions (include license copy, note changes).
Apache 2.0 explicitly permits commercial use without royalties or licensing fees. No commercial support or SLA included in the license itself; commercial support must be sourced separately (e.g., from DataStax or other vendors). Requires review if your org mandates vendor SLAs.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | High |
| DEV.co fit | Good |
| Assessment confidence | High |
No security posture details provided. Standard considerations: network isolation (no built-in encryption mentioned in excerpt), authentication/authorization configuration, Java/dependency vulnerabilities (track security advisories), and access control to Jira/CI systems. Requires independent security review before production use.
Alternatives to consider
PostgreSQL (with citus for scale)
If relational schemas, ACID transactions, and joins are non-negotiable. Citus adds horizontal scalability but at higher operational cost.
DynamoDB / Google Cloud Firestore
Managed NoSQL with lower ops burden; prefer if cloud-native and acceptable to vendor lock-in.
CockroachDB
Distributed SQL with ACID across partitions and stronger consistency guarantees; higher resource overhead.
Build on cassandra with DEV.co software developers
Before adoption, validate schema design against your query patterns, test cluster ops in staging, and confirm monitoring/support strategy. Start with single-node proof-of-concept; complexity increases substantially at scale.
Talk to DEV.coRelated on DEV.co
Explore the category and the services that help you build with it.
cassandra FAQ
Is Cassandra eventually consistent?
Can I run Cassandra on a single node?
What languages does Cassandra support?
How do I monitor a Cassandra cluster?
Software development & web development with DEV.co
From first prototype to production, DEV.co delivers software development services around tools like cassandra. Our software development agency staffs experienced software developers and web developers for custom software development, web development, integrations, and ongoing support across open-source databases and beyond.
Ready to evaluate Cassandra?
Before adoption, validate schema design against your query patterns, test cluster ops in staging, and confirm monitoring/support strategy. Start with single-node proof-of-concept; complexity increases substantially at scale.