Database
OLAP vs OLTP — and Where ClickHouse Fits
OLAP (Online Analytical Processing) systems are databases optimized for complex analytical queries on large datasets, whereas OLTP (Online Transactional Processing) systems are designed for managing large numbers of short, atomic transactions.
Online Analytical Processing (OLAP) and Online Transactional Processing (OLTP) represent two fundamentally different approaches to database workload management, designed for distinct use cases. OLTP systems serve as the operational backbone for applications, optimized for high-throughput, low-latency transactions like creating, reading, updating, and deleting (CRUD) individual records. In contrast, OLAP systems are built for business intelligence and data warehousing, designed to execute complex, multi-dimensional queries across vast amounts of historical data to uncover trends and insights.
This functional divergence stems from a core architectural difference: data storage. OLTP systems, like PostgreSQL or MySQL, typically use a row-based storage model, where all data for a single record is stored contiguously. This is ideal for transactional workloads that need to retrieve or update an entire record quickly. OLAP systems, like ClickHouse or Snowflake, use a columnar storage model, storing all values for a single column together. This structure is vastly more efficient for analytical queries that aggregate data from a few columns across millions or billions of rows, as the database only needs to read the specific columns required for the query.
Latest briefings on OLAP vs OLTP — and Where ClickHouse Fits
Data
New Silk Runtime Slashes ClickHouse Latency
ClickHouse has released Silk, a new open-source C++ runtime. It uses advanced techniques to dramatically lower query latency and improve performance, making the database more efficient for demanding workloads.
Taranpreet Singh ·
Data
Keep Your Old PostgreSQL Database Secure for Longer
A new service from PGX offers security patches and bug fixes for old, unsupported versions of PostgreSQL. This helps companies that can't upgrade stay secure and maintain data integrity without a costly migration.
Taranpreet Singh ·
Data
Visa Cut Data Reporting From Days to Seconds
Visa built a conversational AI agent using ClickHouse and LibreChat to analyze payments data. The new system turns multi-day reporting tasks into sub-second queries, saving each user up to 10 hours of work every week.
Taranpreet Singh ·
Data
New Benchmark Tests Snowflake vs. ClickHouse on Cost
A new benchmark, CostBench, offers an end-to-end cost and performance comparison of Snowflake and ClickHouse Cloud. The analysis helps engineering leaders choose the right platform for real-time analytics by looking beyond just query speed.
Taranpreet Singh ·
Data
Test PostgreSQL Indexes Without Actually Building Them
HypoPG, a popular PostgreSQL extension for testing "hypothetical" indexes without the cost of building them, has a new update. Version 1.4.3 fixes a long-standing bug and adds early support for the upcoming PostgreSQL 19.
Taranpreet Singh ·
Data
A Key PostgreSQL Performance Tool Gets an Update
The PostgreSQL Workload Analyzer (PoWA) project has released version 5.1.2 of its core tool, powa-archivist. This update provides incremental improvements for developers and IT teams who use it to monitor database performance.
Taranpreet Singh ·
Data
PostgreSQL Anonymizer Now Offers Stronger Data Privacy
The new version of PostgreSQL Anonymizer introduces Local Differential Privacy, a sophisticated technique for data masking. This gives developers a more robust way to protect sensitive user information without compromising data utility.
Taranpreet Singh ·
Data
Redis 8.8 makes core commands faster
Redis has released version 8.8, focusing on significant performance enhancements. The update delivers faster execution for core commands like MGET and MSET, improves stream processing, and optimizes memory usage. This release continues Redis's commitment to increasing efficiency on the same hardware with each new version.
Taranpreet Singh ·
Data
Hibernate 7.4 Simplifies Data Queries
Hibernate 7.4 is now available, introducing significant quality-of-life improvements for Java developers. The update simplifies common but complex tasks, such as paginating queries with joined collections and accessing historical data for auditing. This release aims to streamline development and reduce boilerplate code for many applications.
Taranpreet Singh ·
Security
Appsmith Flaw Allows Code Injection
A stored cross-site scripting (XSS) vulnerability has been found in Appsmith's SQL query editor. Attackers with developer access to a shared PostgreSQL database can inject malicious code by creating specially named database objects. This code executes when the autocomplete feature is used by other users.
Neeraj Dhiman ·
Data
How Cloud Data Warehouses Bill You
A new guide breaks down the complex billing models of five major cloud data warehouses: Snowflake, Databricks, ClickHouse Cloud, BigQuery, and Redshift. It explains how each platform meters and bills for compute, helping engineering teams compare costs and make informed architectural decisions for their data infrastructure.
Taranpreet Singh ·
Security
Ubuntu Releases Critical MySQL Patches
Ubuntu has released critical security updates for MySQL to address multiple vulnerabilities. The patches update MySQL to version 8.0.46 on Ubuntu 22.04 and 24.04 LTS, and to 8.4.9 on newer versions. The updates also include bug fixes, new features, and potentially incompatible changes.
Neeraj Dhiman ·
Data
Microsoft Wants to Run Workflows Inside PostgreSQL
Microsoft has open-sourced a new tool for PostgreSQL called pg_durable. It allows developers to run complex workflows directly inside the database, which can simplify system design by removing the need for external orchestration tools.
Taranpreet Singh ·
Infra
AWS Now Lets You Use DynamoDB On PostgreSQL
AWS has released ExtendDB, an open-source tool that lets developers use the popular DynamoDB API with other databases, starting with PostgreSQL. This offers more flexibility and helps avoid being locked into a single cloud vendor.
Ashish Kale ·
Data
First Beta for PostgreSQL 19 Released
The first beta for PostgreSQL 19 is now available for download and testing. This early release provides a preview of new features and improvements coming in the next major version of the popular open-source database. It allows developers and IT teams to begin evaluating the update.
Taranpreet Singh ·
Data
AmEx: Democratize Analytics, Not Data
American Express's Chief Data Officer, Chris Gifford, argues against the buzzword 'data democratization.' He advocates for democratizing analytics instead, allowing employees and AI to generate insights within a governed framework, balancing access with security and privacy.
Taranpreet Singh ·
Data
ClickHouse Joins Are Now 26x Faster
ClickHouse has significantly improved its data join performance, achieving a 26x speed increase on a standard benchmark. This was the result of a two-year engineering effort focused on parallel hash joins, runtime filters, lazy column replication, and smarter query planning for complex analytical queries.
Taranpreet Singh ·
Data
Autobase PostgreSQL Platform Launches Enterprise Edition
Autobase, an open-source PostgreSQL platform, has released version 2.8, introducing a new commercial Enterprise Edition. The existing free version is now the Community Edition. This move provides a new option for businesses seeking managed database solutions as an alternative to traditional cloud-based Database-as-a-Service (DBaaS) offerings.
Taranpreet Singh ·
Data
ClickHouse Cloud Now Runs Python
ClickHouse Cloud has launched executable user-defined functions (UDFs) in public beta. This feature allows developers and data engineers to write functions in Python, upload them to a cluster, and call them directly from SQL queries, simplifying complex data processing and machine learning workflows.
Taranpreet Singh ·
Infra
Google Connects AI to Databases
Google Cloud has announced the general availability of its managed Remote MCP Server for AlloyDB. This new service provides a direct and secure connection for AI models and agents to access real-time data stored in AlloyDB databases, improving the quality of context for AI-powered applications.
Ashish Kale ·
Infra
ClickHouse Expands Its Observability Platform
ClickHouse has announced major updates to its observability platform, ClickStack. The new releases include ClickStack Cloud in private preview, AI-powered Notebooks in beta, and a new MCP server. These changes aim to simplify setup, improve investigation, and enhance the platform's composability for developers and IT teams.
Ashish Kale ·
Data
Redis Simplifies Stream Data Processing
Redis 8.4 introduces a new `CLAIM` option for its `XREADGROUP` command, simplifying how developers build reliable stream consumers. The update combines consuming new messages and reclaiming stalled ones into a single command, reducing code complexity and improving the robustness of event-driven applications.
Taranpreet Singh ·
Data
Snowflake on GCP Achieves Australian Security Clearance
Snowflake's platform on Google Cloud in Melbourne has successfully completed an IRAP assessment, meeting the Australian Government's 'Protected' security standard. This certification allows public sector agencies and regulated industries in Australia to use the data platform for handling sensitive information and critical workloads on GCP.
Taranpreet Singh ·
Data
ClickHouse Unveils Major Product Updates
ClickHouse announced several major updates at its Open House 2026 event. Key developments include deeper integration with Postgres, new data ingestion tools called ClickPipes and ClickHouse Agents, and a partnership with Langfuse for LLM observability. The updates aim to simplify real-time data analytics.
Taranpreet Singh ·
Infra
ClickStack Cloud Offers Serverless Observability
ClickHouse has introduced ClickStack Cloud, a new serverless observability platform. It's a fully managed service built on the ClickHouse database, designed to handle logs, metrics, and traces. The platform uses a managed endpoint for OpenTelemetry data, allowing teams to analyze systems without managing infrastructure.
Ashish Kale ·
AI
How ClickHouse Uses AI Coding Agents
Database company ClickHouse shared its year-long experience using AI coding agents. The team developed a practical framework to determine when agents are genuinely useful versus when traditional coding is better, moving beyond the general hype to offer specific, real-world guidance for engineering teams.
Neeraj Dhiman ·
Data
DuckDB Adds Client-Server Network Protocol
DuckDB, the popular in-process analytical database, has introduced a new remote protocol called Quack. It uses HTTP to enable a client-server model, allowing multiple users and applications to connect to and query the same database instance over a network, a significant shift from its embedded-only origins.
Taranpreet Singh ·
Infra
Jaeger Adds ClickHouse Database Support
The open-source tracing tool Jaeger now supports the ClickHouse database. This new integration is designed for large-scale telemetry, offering significant performance gains. In one test, it achieved an 8.6x compression rate on 10 million spans, helping teams better manage and store observability data.
Ashish Kale ·
Data
Get better answers from your data
Many organizations can't answer critical business questions because their data is siloed in separate systems. Databricks argues that by unifying disparate datasets—like customer records and sales figures—companies can uncover complex patterns, moving beyond basic historical reporting to make more informed decisions.
Taranpreet Singh ·
Data
dbt launches skills for AI agents
dbt Labs has launched dbt Agent Skills, a new feature in dbt Cloud. It allows developers to package data logic into reusable "skills" for AI agents. This helps agents answer data-related questions more reliably and accurately by using pre-defined logic instead of generating SQL from scratch.
Taranpreet Singh ·
Frequently asked questions
What is the main difference between OLAP and OLTP?
The primary difference is the workload type. OLTP systems handle a high volume of simple, concurrent transactions like bank transfers or order placements, prioritizing write speed and data integrity. OLAP systems handle a low volume of highly complex queries like quarterly sales analysis, prioritizing read speed and aggregation performance over large datasets.
Why is columnar storage better for OLAP?
Columnar storage is superior for OLAP because analytical queries typically only access a small subset of a table's columns. By storing data in columns, the database engine can read only the required data, dramatically reducing I/O and speeding up queries. This format also enables highly effective compression, further improving performance.
Can I use an OLTP database like PostgreSQL for analytics?
While you can run analytical queries on an OLTP database, performance will degrade rapidly as data volume increases. A row-based system like PostgreSQL must read entire rows from disk even if the query only needs data from a few columns, leading to inefficient I/O. For non-trivial analytical workloads, a dedicated OLAP system is the appropriate tool.
Where does ClickHouse fit in the OLAP vs. OLTP landscape?
ClickHouse is a purpose-built, open-source OLAP database system known for its extreme performance on analytical queries. Its columnar storage engine and massively parallel processing design make it ideal for real-time analytics, log and event data analysis, and interactive dashboards. It is not designed for OLTP workloads that require frequent updates or deletes of individual records.