Cassandra Consulting, Implementation, and Support Services

Apache Cassandra handles big data workloads across multiple nodes with no single point of failure.

Choosing NoSQL over RDBMS

RDBMSes are ideally suited for complex query and analysis. Originally DB2 and Oracle were mostly used for query-intensive workloads. Data from production systems were extracted and transformed (via ETL processes) and loaded into an RDBMS for slicing and dicing. Even in today’s world, Hadoop data is sometimes loaded back to an RDBMS for reporting purposes. So an RDBMS is a good choice if the query and reporting needs are very critical.
Real time analytics for operational data is better suited to a NoSQL setting. Further, in cases where data is brought together from many upstream systems to build an application (not just reporting), NoSQL is a must. Today, BI tool-support for NoSQL is new, but growing rapidly.

Cassandra Architecture

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Application Development

The developer requires high coding velocity and great agility in the application building process. NoSQL databases have proven to be a better choice in that regard, using object-focused technologies such as JSON, for example. Even if you are a SQL shop, the incremental time to learn emerging database technologies will save lots of development cost over time.

Operational Issues

If an organization is facing such issues, then it should consider NoSQL technologies, as many of them were designed specifically to address these scale and performance issues. Redundancy is implemented here for high availability

Data Warehousing & analytics

Real time analytics for operational data is better suited to a NoSQL setting. Further, in cases where data is brought together from many upstream systems to build an application (not just reporting), NoSQL is a must. Today, BI tool-support for NoSQL is new, but growing rapidly.

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