Apache Cassandra is renowned in the industry as the only NoSQL solution that can accommodate the complex requirements of big data workloads. It’s architected from the ground up for real-time enterprise databases that require vast scalability, high-velocity performance, flexible schema and continuous availability.
Cassandra’s primary big data features include:
- Elastic scalability – Easily scales to terabytes and petabytes of data (even more if you need it). Can handle billions of columns per row and millions of operations per day. Scales down just as readily.
- Distributed database design with no single point of failure – Uses distributed architecture with no single point of failure (as with traditional master/slave RDBMS and other NoSQL solutions). The result – continuous availability for business-critical big data applications that can’t afford to ever go down.
- Blistering linear performance – Enables sub-second response times with linear scalability (double your throughput with two nodes, quadruple it with four, and so on) to deliver the blink-of-an-eye speed your customers have come to expect.
- Flexible, dynamic schema – Easily accommodates the full range of data formats – structured, semi-structured and unstructured – coursing through today’s big data applications. Also dynamically accommodates changes to schema as your data needs evolve.
- Multiple datacenter and cloud readiness – Gives you maximum flexibility to distribution wherever you need to by replicating easily across multiple datacenters, the cloud and even mixed cloud/on-premise environments.
- Location independence – Enables data to be read from and written to any node in a database no matter where it happens to be on the planet, a common requirement of big data environments when database clusters often span multiple geographies and datacenters.
- Tunable data consistency – Provides a means for “tuning” the level of consistency required (from very strong to eventual consistency) for individual use cases and available on a per-operation basis.
- Data durability – Delivers the “D” in ACID compliance through its use of a commit log to capture all writes and built-in redundancies that ensure data durability in the event of hardware failures.
In addition, Cassandra requires no new equipment and is very economical to run. It also provides data compression (up to 80% in some cases), eliminates the hassle of memory caching software (e.g., memcached), uses a query language (CQL) that’s familiar and easy to use.
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