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Real-time Analytics in ClickHouse for Risk Management in Banking

Real-time Analytics with ClickHouse for Risk Management in Banking

Introduction In the dynamic realm of consumer banking, where transactions happen at lightning speed and risks lurk around every corner, the ability to predict and manage these risks in real time is not just an […]

Data Compression in ClickHouse vs Cassandra

Shiv Iyer

Introduction ClickHouse and Cassandra: two different databases optimized for different use cases. ClickHouse is a columnar database designed for analytical queries, while Cassandra is a NoSQL database designed for write-heavy workloads and scalability. Because of these fundamental differences in design and use […]

Cassandra’s Indexing Limitations for Real-time Analytics

Shiv Iyer

Introduction Cassandra, a highly-scalable NoSQL database, is renowned for its write-optimized architecture and resilience. With its capacity to handle vast volumes of data across distributed systems, many consider it a go-to choice for various applications. […]

ClickHouse vs Hadoop for Real-time Analytics

Shiv Iyer

Introduction This article highlights why Hadoop may not be the best fit for real-time analytics and discusses how ClickHouse emerges as a more suitable solution. 10 Reasons Why Hadoop is Not Recommended for Real-Time Analytics: […]

ClickHouse vs Cassandra for Real-time Analytics

Shiv Iyer

Introduction ClickHouse and Cassandra are both powerful data management systems, but they are designed for different use cases. 1. Data Model 2. Query Language 3. Aggregation 4. Data Compression 5. Indices 6. Throughput Conclusion The […]

ClickHouse Performance: Mastering ClickHouse Thread Tuning

Shiv Iyer

Introduction ClickHouse is renowned for its high-speed data processing capabilities, making it a popular choice for real-time analytics and big data applications. To extract the maximum potential from ClickHouse, optimizing thread performance is crucial. Thread […]