Distributed NoSQL database for massive scale
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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
Pricing checked Jul 8, 2026
Most Popular
Open Source
Free
Self-hosted
- NoSQL database
- High availability
- Linear scale
- Apache license
Reviews
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5.0/5
Across 5 verified user reviews on G2, Capterra
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Cassandra FAQ
How does Cassandra manage data distribution across different locations?
Cassandra is designed for geographic distribution, which allows it to keep data physically close to users. This architecture helps in maintaining high availability and reducing latency for globally distributed applications.
Which teams would benefit most from using Cassandra?
Teams that manage applications with massive write loads or require global data distribution will find Cassandra most suitable. It is built for internet-scale operations where traditional databases might struggle.
How does Cassandra compare to ScyllaDB for large-scale data handling?
Cassandra, like ScyllaDB, is a distributed NoSQL database designed for massive scale and high availability. Cassandra specifically excels in handling millions of writes per second across hundreds of nodes with no single point of failure.
What kind of operational challenges might users encounter with Cassandra?
Cassandra can be complex to operate and has a notable learning curve, making it more challenging for new users. It is also resource-intensive and not typically recommended for small-scale projects.
How is Cassandra priced?
Cassandra is free to use, as it is an open-source database. There are no paid plans required to utilize its features for distributed data management.
Can Cassandra scale to accommodate increasing data volumes and user traffic?
Yes, Cassandra offers linear scaling, which means its capacity can be increased simply by adding more nodes to the cluster. This allows it to handle growing data volumes and user traffic effectively.
Source: cassandra.apache.org