Shiv Iyer, Author at ChistaDATA Inc.

ClickHouse Performance: Advanced Optimizations for Ultra-low Latency

ClickHouse Optimization: Advanced Techniques for Ultra-Low Latency

Introduction ClickHouse, an open-source columnar database management system, is renowned for its exceptional performance when it comes to analytical queries and handling massive datasets. However, as your data grows and your query complexity increases, optimizing […]

Top 10 Reasons to Choose ChistaDATA's ClickHouse for Real-time Analytics

Top 10 Reasons to choose ClickHouse for Real-time Analytics

Shiv Iyer

Top 10 Reasons to choose ClickHouse for Real-time Analytics In today’s data-driven world, businesses can no longer afford to wait hours or even minutes for analytical insights. Real-time analytics has become the cornerstone of competitive […]

Overview of Vectorized Query Processing in ClickHouse

Vectorized Query Execution in ClickHouse: Performance Benefits

Shiv Iyer

Introduction: Vectorized query computing is a crucial optimization technique that significantly influences the performance of real-time analytics solutions. It transforms the way queries are processed by simultaneously operating on multiple data elements, maximizing hardware resources […]

Three paths for archiving data to ClickHouse from PostgreSQL or MySQL: one-time bulk via object storage, direct pull with table functions, and continuous CDC through Debezium and Kafka

Archiving Data to ClickHouse: The Proven Engineering Guide for PostgreSQL and MySQL (2026)

Shiv Iyer

ChistaDATA · ClickHouse as the archive store for PostgreSQL and MySQL Archiving data to ClickHouse is the most reliable way we know to make a transactional database smaller and faster without losing a single historical […]

When to Avoid Indexing in ClickHouse for Optimal Performance

Shiv Iyer

Introduction Indexing is a powerful technique that enhances database query performance by allowing rapid data retrieval. However, there are scenarios where indexing might not be the optimal choice. This article delves into situations where avoiding […]

ClickHouse JOIN: Deep Dive into Nested Loop and Merge Scan Joins

Shiv Iyer

Introduction Choosing the right join strategy is crucial for optimizing query performance in ClickHouse. ClickHouse supports two main types of joins: Nested-Loop Join and Merge-Scan Join. Let’s delve into each join type, explain how they […]

Conditional Analysis in ClickHouse with ‘IS’ Operator

Shiv Iyer

Introduction The “IS” operator in ClickHouse is used to compare a value against a set of values or conditions and returns a Boolean result. It’s often used to check if a value matches a specific […]

Window Functions in ClickHouse with ‘OVER’ Clause

Shiv Iyer

Introduction The “OVER” clause in ClickHouse is used to perform window functions, which allow you to calculate values across a set of table rows related to the current row. Window functions provide a way to […]

5 Reasons to use ChistaDATA’s ClickHouse for Real-time Analytics

Shiv Iyer

Introduction: ChistaDATA’s ClickHouse for Real-time Analytics As technology leaders, understanding the intricacies of data management systems is crucial for making informed decisions. ClickHouse, an open source columnar database management system, offers a unique perspective on […]

From Batch Processing to Real-Time Analytics with ChistaDATA's ClickHouse

Batch Processing to Real-Time Analytics with ClickHouse

Shiv Iyer

ChistaDATA · Real-Time Analytics · 24×7 ClickHouse Consultative Support and Managed Services From Batch Processing to Real-Time Analytics with ClickHouse Moving from batch processing to real-time analytics with ClickHouse means replacing nightly ETL windows with […]

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Articles by Shiv Iyer

ClickHouse Optimization: Advanced Techniques for Ultra-Low Latency

Top 10 Reasons to choose ClickHouse for Real-time Analytics

Vectorized Query Execution in ClickHouse: Performance Benefits

Archiving Data to ClickHouse: The Proven Engineering Guide for PostgreSQL and MySQL (2026)

When to Avoid Indexing in ClickHouse for Optimal Performance

ClickHouse JOIN: Deep Dive into Nested Loop and Merge Scan Joins

Conditional Analysis in ClickHouse with ‘IS’ Operator

Window Functions in ClickHouse with ‘OVER’ Clause

5 Reasons to use ChistaDATA’s ClickHouse for Real-time Analytics

Batch Processing to Real-Time Analytics with ClickHouse