/plushcap/analysis/datastax/datastax-relational-and-cassandra-compared

Relational and Cassandra. Compared.

What's this blog post about?

The text discusses an eBook by DataStax titled "Getting Started with NoSQL and Apache Cassandra®". It highlights how to migrate to Apache Cassandra, a distributed, elastically scalable, highly available and fault-tolerant platform. Applications that require high security, resiliency like eCommerce apps, time-series based applications, those with high data volumes such as IoT use cases or real-time transaction-based ones are ideal candidates for this migration. The text also mentions DataStax distributions which expand on Cassandra's benefits with advanced security, performance, multi-model, and operational management capabilities. It introduces the concept of a graph database option provided by DataStax called DataStax Graph, which leverages all the benefits of Cassandra for building complex data models representing relationships between people, products, interactions, transactions etc., essential for applications that glean insights from connected data like fraud detection, supply chain optimization, social network analysis and customer-facing recommendation engines. Unlike relational databases, graph databases do not require foreign keys or JOIN operations as data is retrieved by traversing the graph. The text ends with an invitation to download the full eBook or tune in next week for another excerpt.

Company
DataStax

Date published
Jan. 17, 2020

Author(s)
DataStax

Word count
265

Hacker News points
None found.

Language
English


By Matt Makai. 2021-2024.