Apache Cassandra vs SQL Server

The distributed database that scales like a dream but queries like a nightmare meets the corporate database that loves windows and hates your budget. Here's our take.

Apache Cassandra

Nice Pick

The distributed database that scales like a dream but queries like a nightmare.

Pros

• Massive horizontal scalability with no single point of failure
• Excellent write performance for time-series and IoT data
• Flexible schema design that evolves without downtime

Cons

• Complex querying with limited JOIN support
• Steep learning curve for data modeling and tuning

SQL Server

The corporate database that loves Windows and hates your budget.

Pros

• Excellent integration with Microsoft ecosystem (e.g., .NET, Azure)
• Strong security and compliance features out of the box
• Powerful business intelligence tools like SSRS and SSAS

Cons

• Licensing costs can be eye-watering for enterprise use
• Limited cross-platform support (primarily Windows-focused)

The Verdict

Use Apache Cassandra if: You want massive horizontal scalability with no single point of failure and can live with complex querying with limited join support.

Use SQL Server if: You prioritize excellent integration with microsoft ecosystem (e.g., .net, azure) over what Apache Cassandra offers.

The Bottom Line

Apache Cassandra wins

The distributed database that scales like a dream but queries like a nightmare.