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Database Insights, Tips & Expert Blogs
ClickHouse vs MongoDB: Choosing the Right Database for Your Use Case
Author : sukan
September 01, 2026
ClickHouse and MongoDB solve different problems: ClickHouse is a columnar OLAP database ideal for analytical queries over billions of rows, while MongoDB is a document store built for operational read-write workloads. This guide helps DBAs, architects, and CTOs choose the right database — or design a hybrid architecture that uses both. Mafiree's database engineers walk through storage models, indexing, HA, and real-world use cases.
Speeding up ClickHouse Queries: Materialized Views vs. Refreshable Views Explained
Author : Shenbaga Varna S
September 04, 2026
Learn how materialized views and their refreshable counterparts simplify complex analytics by precomputing results, boosting query performance, and enabling near real-time decision-making.
From Arrays to UUIDs: ClickHouse Functions That Will Surprise You!
Author : Shenbaga Varna S
April 07, 2026
Unlock the full potential of ClickHouse with these must-know functions. From data transformation to advanced analytics, elevate your database skills today!
What is Clickhouse
Author : Vignesh
November 29, 2024
Experience the future of analytics with ClickHouse! Its powerful columnar storage and vectorized execution allow for lightning-fast data processing, making it ideal for real-time insights.
Can effective archiving cut your infrastructure costs by 50%?
Author : sukan
September 11, 2024
Discover how effective data archival can slash your infrastructure costs by 50%! Learn how we helped one client streamline their database management and improve performance.
MySQL vs ColumnStore vs ClickHouse Benchmark
Author : Shenbaga Varna S
September 04, 2026
Choosing the right database for analytics depends on the workload, data size, and query patterns. This blog compares MySQL, MariaDB ColumnStore, and ClickHouse using a large time-series dataset. The benchmark compares storage usage and query performance, with ClickHouse delivering the best results for this particular workload and ultimately being selected for production.
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