Articles by Shiv Iyer

About Shiv Iyer

Open Source Database Systems Engineer with a deep understanding of Optimizer Internals, Performance Engineering, Scalability and Data SRE. Shiv currently is the Founder, Investor, Board Member and CEO of multiple Database Systems Infrastructure Operations companies in the Transaction Processing Computing and ColumnStores ecosystem. He is also a frequent speaker in open source software conferences globally.

Choosing The ClickHouse Right CPU Infrastructure

ClickHouse Performance: Choosing the Right CPU Infrastructure

Shiv Iyer

Introduction Selecting the right CPU infrastructure is critical for optimizing ClickHouse performance. Faster CPUs with higher clock speeds are beneficial for single-threaded tasks, while multi-core CPUs excel in parallel processing scenarios. This article delves into […]

ClickHouse Row Number Functions for High Performance

Shiv Iyer

Introduction Row numbering methods play a crucial role in ClickHouse’s performance, particularly when dealing with extensive datasets and intricate queries. Different approaches, such as using the ROW_NUMBER() function, ARRAY JOIN clause, WITH ORDINALITY syntax, or […]

Real-time Analytics in Modern Banking with ChistaDATA’s ClickHouse

Shiv Iyer

Introduction In the fast-paced world of modern banking, making accurate and timely decisions is crucial for success. Traditional data analysis methods are no longer sufficient to keep up with the ever-increasing volumes of data and […]

Inside the ClickHouse Query Execution Pipeline

ClickHouse Performance: Inside the Query Execution Pipeline

Shiv Iyer

Introduction When it comes to high-performance analytics, ClickHouse stands out as a powerful columnar database. Behind its blazing-fast query processing lies a sophisticated execution pipeline that optimizes query performance and enables efficient data retrieval. In […]

eBPF

ClickHouse Troubleshooting: How to use eBPF to Profile Performance

Shiv Iyer

Introduction Using the eBPF-based tool “perf” for troubleshooting ClickHouse involves several steps to collect and analyze performance data. Here’s a general guide on how to utilize “perf” for ClickHouse troubleshooting: I/O Profiling: It’s important to […]

4 Reasons to Migrate from AWS Redshift to ChistaDATA Cloud for ClickHouse

Shiv Iyer

4 Reasons to Migrate from AWS Redshift to ChistaDATA Cloud for ClickHouse In today’s data-driven landscape, businesses require real-time analytics capabilities to stay competitive. While Amazon Redshift has been a popular choice for data warehousing, […]

Implementing Auditing and Log Capture In Clickhouse

ClickHouse Security: Implementing Auditing and Log Capture

Shiv Iyer

Introduction The objective of this run-book is to guide you through the process of implementing auditing and log capture in ClickHouse. By capturing detailed logs of query executions, user activities, and system events, you can […]

How is Spill-to-Disk Optimization implemented in ClickHouse Memory?

Shiv Iyer

Introduction Spill-to-Disk optimization is a pivotal feature in ClickHouse, designed to enhance both performance and reliability in scenarios where memory constraints arise during query execution. This optimization mechanism efficiently manages memory resources by temporarily storing […]

How to Implement Metrohash Function in ClickHouse for High Performance

Shiv Iyer

Introduction The MetroHash function implemented in ClickHouse offers performance benefits and low collision rates, contributing to the efficiency of hash-based operations. Features of Metrohash function in ClickHouse Here’s how the MetroHash function achieves these advantages: […]

10 Reasons to work with ChistaDATA for Real-time Analytics on ClickHouse

Shiv Iyer

Introduction Conclusion Partnering with ChistaDATA for real-time analytics on ClickHouse offers numerous benefits. With expertise in ClickHouse and a proven track record, ChistaDATA accelerates real-time analytics by integrating ClickHouse seamlessly with Databricks. From data processing […]

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Articles by Shiv Iyer

ClickHouse Performance: Choosing the Right CPU Infrastructure

ClickHouse Row Number Functions for High Performance

Real-time Analytics in Modern Banking with ChistaDATA’s ClickHouse

ClickHouse Performance: Inside the Query Execution Pipeline

ClickHouse Troubleshooting: How to use eBPF to Profile Performance

4 Reasons to Migrate from AWS Redshift to ChistaDATA Cloud for ClickHouse

ClickHouse Security: Implementing Auditing and Log Capture

How is Spill-to-Disk Optimization implemented in ClickHouse Memory?

How to Implement Metrohash Function in ClickHouse for High Performance

10 Reasons to work with ChistaDATA for Real-time Analytics on ClickHouse