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HomeColumnar Databases

Columnar Databases

Long integer query optimization in ClickHouse
ClickHouse

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

Shiv Iyer

Introduction Navigating the terrain of querying long integer data (64-bit integers) in ClickHouse is a journey of optimizing performance through strategic choices in data types, leveraging indexing, and fine-tuning query operations. ClickHouse’s architecture is primed […]

BigQuery to ChistaDATA Cloud for ClickHouse
ChistaDATA

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

Vijay Anand

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
ClickHouse

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
ChistaDATA

Tuning Index Granularity for ClickHouse Performance in E-commerce

Can Sayn

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
ChistaDATA

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
Analytics

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 […]

Plans for MinervaDB Inc. and ChistaDATA Inc
ChistaDATA

🚀 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 […]

ChistaDATA's Expertise in ClickHouse Vulnerability Remediation
ChistaDATA

ClickHouse Security: ChistaDATA’s Expertise in Vulnerability Remediation

Shiv Iyer

Introduction ClickHouse is a robust and high-performance columnar database widely used for real-time analytics and big data processing. Like any software, ClickHouse may have vulnerabilities that could potentially expose organizations to security risks. Understanding the anatomy […]

ClickHouse MergeTree: Understanding Storage Policies and Load Balancing
ChistaDATA

ClickHouse MergeTree: Understanding Storage Policies and Load Balancing

Ashwini Ahire

Introduction Optimizing data distribution and storage utilization is paramount when working with MergeTree tables in ClickHouse. This involves understanding and leveraging storage policies and load balancing mechanisms to ensure efficient data placement across disks and […]

Migrating from Snowflak
ChistaDATA

Runbook for Migration from Snowflake to ChistaDATA Cloud for ClickHouse: Part 1

Vijay Anand

Introduction Snowflake is a fully managed SaaS (Software as a service) used for data warehousing, data engineering, data lakes, and data science applications. Snowflake is a proven cloud-based data platform, and it is one of […]

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ChistaDATA is committed to open source software and building high performance ColumnStores

In the spirit of freedom, independence and innovation. ChistaDATA Corporation is not affiliated with ClickHouse Corporation 

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* 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. 

Recent Posts from ChistaDATA

  • ClickHouse Storage Engines
  • ClickHouse Thread Architecture
  • Advanced ClickHouse SQL: Window Functions, Array, and JSON Processing
  • Untangling the Spaghetti: Writing Efficient ClickHouse SQL
  • Troubleshooting Suboptimal ClickHouse Queries

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