Distributed NoSQL database for massive scale
Visit WebsiteReviews onG2Capterra
5 reviews trackedThe Bottom Line
Entry price
Free, no paid tier
Biggest pro
Highly scalable
Biggest con
Complex to operate
TL;DR - Cassandra
- Apache Cassandra is a distributed NoSQL database designed for massive scalability
- It handles petabytes of data across multiple data centers with no single point of failure
- Free and open-source, managed options available
Pricing: Free forever
Best for: Individuals & startups
5.0/5 across review platforms
What is Cassandra?
Cassandra handles data at scales where traditional databases fail. Distribute data across hundreds of nodes with no single point of failure, handling millions of writes per second without breaking.
The architecture is designed for availability over consistency. Geographic distribution keeps data close to users. Linear scaling adds capacity by adding nodes.
Organizations with massive write loads or global distribution requirements choose Cassandra when they need a database built for internet scale.
Available on: Web
Pros & Cons
Pros
- Highly scalable
- No single point of failure
- Good for write-heavy
- Geo-distribution
- Open source
Cons
- Complex to operate
- Learning curve
- Query limitations
- Resource intensive
- Not for small scale
Ratings Across the Web
5(5 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
NoSQL databaseDistributedLinear scalabilityNo single point of failureApacheOpen source
Pricing Plans
Most Popular
Open Source
Free
Self-hosted
- NoSQL database
- High availability
- Linear scale
- Apache license
Reviews
5.0/5
Across 5 verified user reviews on G2, Capterra
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Cassandra FAQ
Is Cassandra free?
Yes, Apache Cassandra is free and open source. Apache 2.0 license. Commercial support available from DataStax.
What is Cassandra?
Cassandra is a distributed NoSQL database. High availability, no single point of failure. Used by Netflix, Apple, and more.
Cassandra vs MongoDB?
Cassandra excels at write-heavy workloads. MongoDB is more flexible for queries. Cassandra for scale; MongoDB for flexibility.
When should I use Cassandra?
High write throughput, global distribution, always-on requirements. Time-series data, IoT, messaging. Not for complex queries.
Source: cassandra.apache.org