ChistaDATA Cloud Archives | ChistaDATA Inc.

ClickHouse Data Compression Techniques for Time-series Datasets

Optimizing Non-SARGable Predicates in ClickHouse for Improved Query Performance

Non-SARGable (Search ARGument ABLE) predicates are conditions in SQL queries that prevent the database engine from using indexes efficiently, leading to full table scans and degraded query performance. Implementing and handling Non-SARGable predicates in ClickHouse […]

Optimising ClickHouse Queries – Turbocharge your queries

ChistaDATA Inc.

Pic Courtesy – Pexels ClickHouse is an open-source online analytical database system for real-time analytics and super-fast queries on large datasets. While ClickHouse is inherently optimized for read speeds, it is still possible to end […]

Optimizing Query Performance: Understanding Criterion Indexability in ClickHouse

Shiv Iyer

Criterion indexability in ClickHouse refers to the database’s ability to efficiently utilize indexes for filtering data based on query conditions. ClickHouse, designed for fast analytical queries over large datasets, employs various indexing strategies to speed […]

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 […]

Asabru Proxy + ChistaDATA Cloud for ClickHouse

Understanding the Crucial Role of Proxy Server in Database Management

ChistaDATA Inc.

Introduction In the ever-evolving landscape of technology, businesses rely heavily on databases to store and manage vast amounts of data. As the volume of data continues to grow, ensuring efficient and secure database management becomes […]

Architecture & Design of ChistaDATA Cloud for ClickHouse – Part 2

ChistaDATA Inc.

Introduction In part 2 of this 2 part series, we detail the architectural and design choices behind ChistaDATA Cloud for ClickHouse, an end-to-end managed cloud service for ClickHouse, the world’s fastest real-time analytics DBMS. Commence […]

Architecture & Design of ChistaDATA Cloud for ClickHouse – Part 1

ChistaDATA Inc.

In my recent collaboration with one of our esteemed channel partners, an intriguing insight emerged: there’s a growing curiosity among people about the intricacies of Database as a Service (DBaaS). They are keen to understand […]

Migrating from Databricks to ChistaDATA's ClickHouse

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

ChistaDATA Inc.

Introduction Databricks is an enterprise software company founded by the creators of Apache Spark. The unique feature of Databricks is that it combines data warehouses & data lakes into a lakehouse architecture. Databricks SQL is […]

Linux Swaps in ClickHouse: Peak Performance in Memory-Intensive Operations

Shiv Iyer

Introduction “Swap wisely, perform optimally: Fine-tuning Linux swap is the silent key to unleashing ClickHouse’s full potential.” Excessive Linux swaps can significantly degrade the performance of memory-intensive applications, including databases like ClickHouse. When the system […]

Data Compression in ClickHouse vs Cassandra

Shiv Iyer

Introduction ClickHouse and Cassandra: two different databases optimized for different use cases. ClickHouse is a columnar database designed for analytical queries, while Cassandra is a NoSQL database designed for write-heavy workloads and scalability. Because of these fundamental differences in design and use […]

* 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.

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