Columnar Databases Archives

Why is ClickHouse So Fast? The Architecture Behind Lightning-Speed Analytics

Why is ClickHouse So Fast? The Architecture Behind Lightning-Speed Analytics ClickHouse has revolutionized the world of analytical databases with its exceptional performance capabilities. While many databases claim to be fast, ClickHouse consistently delivers sub-second query […]

How Regular Expressions Are Implemented in ClickHouse

ClickHouse ReplacingMergeTree Explained

ChistaDATA Inc.

ClickHouse ReplacingMergeTree Introduction ClickHouse ReplacingMergeTree is a powerful table engine designed to handle data deduplication in analytical workloads. While it promises to solve duplicate data challenges, understanding its nuances is crucial for successful implementation. This […]

ColumnStore vs. Modern Data Warehousing

Shiv Iyer

ColumnStore vs. Modern Data Warehousing: Optimizing Real-Time Analytics Performance Introduction Real-time analytics has become the cornerstone of data-driven decision making, demanding storage architectures that can handle massive volumes while delivering sub-second query performance. This technical […]

Long integer query optimization in ClickHouse

Optimizing Long Integer Queries in ClickHouse: Strategies for High-Speed Data Analysis

Shiv Iyer

Introduction – Long Integer Queries Navigating the terrain of querying long integer data (64-bit integers) in ClickHouse is a journey of optimising performance through strategic choices in data types, leveraging indexing, and fine-tuning query operations. […]

Migrating From Google BigQuery to ChistaDATA Cloud for ClickHouse: Part 1

ChistaDATA Inc.

Introduction BigQuery is Google‘s fully managed, serverless data warehouse that enables scalable analysis over petabytes of data. – Wikipedia Google BigQuery has been around for over a decade and offers serverless / fully managed solutions for data warehouse/ analytical […]

Tuning index_granularity for ClickHouse Performance

Shiv Iyer

Understanding index granularity is crucial for troubleshooting performance issues in ClickHouse, especially when it comes to optimizing how ClickHouse uses indexes for query execution.

[…]

Tuning Index Granularity for ClickHouse in E-commerce

Tuning Index Granularity for ClickHouse Performance in E-commerce

ChistaDATA Inc.

Introduction In the world of data analytics and storage, databases are the backbone that supports businesses’ decision-making processes. ClickHouse, an open-source columnar database management system, has gained popularity for its exceptional speed and efficiency in […]

Introduction to Vectorized Query Processing in ClickHouse

ClickHouse Performance: Introduction to Vectorized Query Processing

Shiv Iyer

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 vectorized […]

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

Comparing Columnar Databases vs Row-based Databases

Shiv Iyer

Comparing Columnar Databases vs Row-based Databases 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. […]

🚀 Exciting Plans for MinervaDB Inc. and ChistaDATA Inc.! 🌟

Shiv Iyer

Empowering Data Management: The Vision for MinervaDB and ChistaDATA As the founder of MinervaDB Inc. and ChistaDATA Inc., I am thrilled to share our vision for the next two years. Our companies have been established […]

* Everything changes over time – Our blogs/posts and comments changes over time, That’s how it should be! Whatever we comment from ChistaDATA Inc. Teams (including Shiv Iyer) and other stakeholders or guest bloggers posted here are never permanent, These things worked for us. But, there is no guarantee they will work for you too, When using the recommendations from ChistaDATA or MinervaDB or MinervaSQL or any other online resources / Google, You must test the advice before applying them to your production systems, and always invest for a robust Database DR solution, Thank you for understanding.

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

PostgreSQL is a registered trademark of the PostgreSQL Community Association. ClickHouse is a registered trademark of ClickHouse, Inc. MongoDB is a registered trademark of MongoDB, Inc. Couchbase is a registered trademark of Couchbase, Inc. Redis is a registered trademark of Redis Ltd. Apache Cassandra is a registered trademark of the Apache Software Foundation. Milvus is a registered trademark of Zilliz. MinIO is a registered trademark of MinIO, Inc. Amazon Redshift and Amazon Aurora are registered trademarks of [Amazon.com](http://amazon.com/), Inc. Google Cloud is a registered trademark of Google LLC. Snowflake is a registered trademark of Snowflake Inc. Databricks is a registered trademark of Databricks, Inc. MySQL and InnoDB are registered trademarks of Oracle Corporation. MariaDB is a trademark of MariaDB Corporation Ab. All other trademarks are the property of their respective owners. Any other product or company names mentioned may be trademarks or trade names of their respective owners. Copyright © 2010–2026. All Rights Reserved by ChistaDATA®.

→ Index