ChistaDATA Cloud Archives | Page 2 of 5

Data Compression in ClickHouse vs Cassandra

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 […]

Implementing Branching on ChistaDATA Cloud for ClickHouse

ChistaDATA Inc.

Introduction In the world of modern software development, managing data efficiently and effectively is crucial for maintaining a successful and scalable application. One of the techniques that has gained popularity in recent years is […]

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

ChistaDATA Inc.

Introduction Amazon Redshift is a proprietary cloud data warehouse offered by AWS. It is based on PostgreSQL but with modifications. Amazon RedShift is an OLAP data store, whereas PostgreSQL is an OLTP database system. […]

🚀 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 […]

ClickHouse Wait Events Troubleshooting: A Deep Dive

Shiv Iyer

Introduction ClickHouse Wait Events are specific events or conditions that can cause the system to pause or wait during query execution. These events can significantly influence the performance of ClickHouse, as they impact query execution […]

Connecting ChistaDATA Cloud for ClickHouse with Ruby

ChistaDATA Inc.

Introduction Database as a Service (DBaaS) is a managed service offered by the cloud that allows access to databases without the demand for physical hardware setup, software installation, or database setup. The ChistaDATA Cloud (DBaaS) […]

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

Shiv Iyer

Introduction: Real-time Analytics in Modern Banking 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 […]

ChistaDATA Cloud for ClickHouse v/s Google BigQuery: Comparative Benchmarking

ChistaDATA Inc.

Introduction BigQuery is Google’s fully managed data warehouse which is offered with its own SQL dialect support. BigQuery was launched in the year 2011 and has been a mature cloud offering ever since. BigQuery is […]

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, […]

Migrating from Hadoop to ChistaDATA's ClickHouse

Hadoop to ClickHouse Migration: A Practical Runbook

Shiv Iyer

Introduction: The landscape of data analytics is evolving rapidly, and businesses are increasingly demanding real-time insights for faster decision-making. Hadoop, a popular big data processing framework, has been widely used for its ability to handle large volumes of […]

* 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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