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.

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 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 data analytics, especially in the […]

From Batch Processing to Real-time Analytics with ChistaDATA’s ClickHouse

Shiv Iyer

Introduction The landscape of data analytics has evolved rapidly, and while batch processing systems like Hadoop have their merits, they can introduce complexities that challenge engineering and operations. In this article, we’ll explore how such […]

ClickHouse Thread Performance Analysis with eBPF

Shiv Iyer

Introduction eBPF (extended Berkeley Packet Filter) is a powerful tool for tracing and profiling various aspects of a running Linux system, including applications like ClickHouse. Leveraging eBPF for monitoring ClickHouse’s thread performance provides deep insights […]

ClickHouse Data Compression Techniques for Time-series Datasets

Shiv Iyer

Introduction ClickHouse, a powerful columnar database management system, employs various techniques to optimize data storage and retrieval. Among these techniques, delta-encoding and dictionary encoding play a pivotal role in enhancing compression, particularly for time-series and […]

Introduction to Vectorized Query Processing in ClickHouse

ClickHouse Performance: Introduction to Vectorized Query Processing

Shiv Iyer

Introduction In the world of data analytics, speed is of the essence. ClickHouse, an innovative columnar database management system, has gained prominence for its exceptional query performance. At the heart of this prowess lies ClickHouse’s […]

Comparing Columnar vs Row-based Databases for Real-time Analytics

Shiv Iyer

Introduction In the dynamic landscape of data management, the choice between columnar stores and ROW-based databases has a profound impact on performance, especially in scenarios requiring rapid data retrieval and analytical prowess. These two approaches, though fundamentally […]

Real-time Analytics in ClickHouse for Risk Management in Banking

Real-time Analytics with ClickHouse for Risk Management in Banking

Shiv Iyer

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 […]

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Articles by Shiv Iyer

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

From Batch Processing to Real-time Analytics with ChistaDATA’s ClickHouse

ClickHouse Thread Performance Analysis with eBPF

ClickHouse Data Compression Techniques for Time-series Datasets

ClickHouse Performance: Introduction to Vectorized Query Processing

Comparing Columnar vs Row-based Databases for Real-time Analytics

Real-time Analytics with ClickHouse for Risk Management in Banking