Explore ClickHouse Insights on ChistaDATA's Blog

Leveraging ClickHouse for Real-Time Predictive Analytics

Introduction Predictive analytics solutions require fast and scalable storage solutions that can handle large amounts of data and support real-time analysis. ClickHouse is a columnar database management system optimized for OLAP (Online Analytical Processing) workloads […]

Monitoring ClickHouse Query Parser Performance

Shiv Iyer

Introduction To monitor the Parser performance in ClickHouse, you can use the system.query_log system table, which contains information about all queries executed in the cluster. Here’s an example SQL code that you can use to […]

How does ClickHouse Resource Governor work?

Shiv Iyer

Introduction ClickHouse Resource Governor is a feature that allows DBAs to allocate system resources, such as CPU, memory, and I/O operations, to specific users or groups of users. The Resource Governor provides a way to […]

Why do you need great investor teams when you are serious about building a large corporation?

Shiv Iyer

I very rarely write blogs outside Tech., This blog is my experience with Sequoia Capital (investor in both MinervaDB and ChistaDATA); during the worst scenario, any business owner/Founder/CEO can be in. Yes, We have massive […]

Digital Transformation in Modern Banking with ClickHouse-powered Real-time Analytics

Shiv Iyer

Introduction Internal and external frauds can devastate the digital banking business, both in terms of financial losses and damage to the institution’s reputation. Here are some ways in which internal and external frauds can destroy […]

ClickHouse Performance: Disabling Transparent Huge Pages (THP) in Linux

Shiv Iyer

Introduction Transparent Huge Pages (THP) is a memory management feature in the Linux kernel that allows the operating system to manage memory pages more efficiently. It works by grouping smaller memory pages into larger pages, […]

Tuning Linux for ClickHouse Performance

Shiv Iyer

Introduction Tuning the Linux kernel can significantly improve the performance of ClickHouse, a popular open-source columnar database management system. Here are some of the Linux kernel parameters that can be tuned to optimize ClickHouse performance: […]

ClickHouse Troubleshooting: Avoiding Excessive Disk Swaps

Shiv Iyer

Introduction Disk swapping is a technique used by operating systems to manage memory usage when the amount of available physical memory is limited. When the operating system runs out of available physical memory, it uses […]

ClickHouse MergeTree: Introduction to ReplicatedMergeTree

ChistaDATA Inc.

Introduction ClickHouse has MergeTree family of engines and data replication can be achieved through the replicated version of the MergeTree family engines. This replication works on an individual table level. ClickHouse has recently added support […]

Implementing Chebyshev's Inequality in ClickHouse

Data Science in ClickHouse: How to implement Chebyshev’s Inequality?

Shiv Iyer

Introduction Chebyshev’s inequality is a statistical theorem that provides a bound on the probability that a random variable deviates from its mean by more than a certain number of standard deviations. Specifically, it states that […]