Databaseopen-source
Apache Cassandra
Highly scalable distributed NoSQL database for handling large amounts of data
Visit websiteTechnical Profile
Scalability
very high
Performance
very high
Learning Curve
steep
Maturity
mature
Languages: Java
Architecture: wide-column, distributed
When to Use
- +Need massive write throughput
- +Multi-datacenter deployment
- +Time-series data
- +Always-on availability
When Not to Use
- -Complex queries needed
- -Small team
- -Limited ops expertise
Strengths
- Linear scalability
- No single point of failure
- Multi-datacenter replication
- Write optimization
- Tunable consistency
Weaknesses
- Complex operations
- Memory intensive
- Limited secondary indexes
- Steep learning curve
Operations
Maintenance
high
Monitoring
high
Backup/Recovery
moderate
Hosting: self-hosted, cloud, managed
Quick Facts
- Category
- Database
- License
- open source
- Pricing
- free (free tier)
- Community
- large
- Docs Quality
- good
- Trend
- stable
- Vendor Lock-in
- low
- Data Portability
- moderate
Compliance
GDPR
HIPAA
SOC 2
PCI-DSS
Encryption
Audit Logs
RBAC
MFA
Best For
largeenterprise
Use Cases
- Time-series data
- IoT data
- Messaging
- Product catalogs
- Write-heavy workloads
Alternatives to Apache Cassandra
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Apache CouchDB
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ClickHouse
Open-source column-oriented OLAP database for real-time analytics on large datasets
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CockroachDB
Distributed SQL database built for cloud applications with global scale
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DuckDB
In-process analytical database with rich SQL support, designed for fast analytics
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Evaluating Apache Cassandra for your stack?