Cassandra has become a very popular NoSQL database. Cassandra, like other NoSQL databases, was originally designed to solve the scalability and availability problems in web-scale applications and it does that well. Using it in financial services should be given serious consideration, however, due to some of its limitations, including:
- Lack of ACID Guarantees – Cassandra is an eventually-consistent database
- SQL vs CQL – Cassandra’s CQL query language lacks the power of standard SQL
- Structured vs Unstructured Data – Developed to handle large amounts of unstructured data, Cassandra is not well suited to highly structured financial data
- Data Modeling – Based on query patterns, data models in Cassandra must be changed, and data migrated, for new use cases.
How Does Volt Active Data Compare to Cassandra?
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