Uses for a Hybrid Transactional and Analytical Processing Database
With a Hybrid Transactional and Analytical Processing (HTAP) database like TiDB, you get the benefits of the transactional database, plus the goodness of an analytical database, all in a single package. But whether you need it depends on your application scenarios.
How a NewSQL Database Helps Keep Data Fresh and Maximize Its Business Value
This post talks about the pain points of current data solutions and shares how TiDB, a highly scalable enterprise-level distributed database, helps businesses keep their data fresh and realize the data’s business value.
The Past, Present, and Future of TiDB as an HTAP Database
Author: Shawn Ma (Tech Lead of the Real-time Analytics team at PingCAP) Transcreator: Ran Huang; Editor: Tom Dewan As the novel Romance of the Three Kingdoms tells us, “The empire, long divided, must unite; long united, must divide.” The same ebb and flow are taking place in the database world. In the beginning, one type of DBMS served all data requests. But […]
The Benefits of a Hybrid Transactional and Analytical Processing Database
Hybrid Transactional and Analytical Processing, or HTAP, is a defining feature of TiDB. It means that you can run both transactional and analytical queries from within the same database. TiDB provides HTAP, ensuring that your queries are always running against the most current data available.
Building a Real-Time Data Warehouse with TiDB and Pravega
This article introduces a new solution for real-time data warehouse: Pravega + TiDB. This combination resolves Kafka's data persistence dilemma and provides auto scaling capabilities.
Flink on TiDB: Reliable, Convenient Real-Time Data Service
Combining Flink and TiDB provide powerful support for real-time data processing. In this article, a NetEase senior engineer introduces how they use Flink on TiDB to guarantee end-to-end exactly-once semantics.
TiDB 5.0: A One-Stop HTAP Database Solution
TiDB 5.0 features a comprehensive HTAP solution enhanced by an MPP analytical query engine. This article introduces the new TiDB 5.0 HTAP architecture and how TiDB 5.0 serves various transactional & analytical hybrid workload scenarios.
Empower Your Business with Big Data + Real-time Analytics in TiDB
Big data is a growing need for ambitious companies. Learn the usage, cost, and technology selection of real-time big data analytics and how TiDB prevails over other solutions.
TiDB on JD Cloud: A Cloud-native Distributed Database Service
PingCAP teams up with JD Cloud to provide Cloud-TiDB service on the JD Cloud platform.
Apache Flink + TiDB: A Scale-Out Real-Time Data Warehouse for Analytics Within Seconds
By combining Apache Flink and TiDB, we offer an efficient, easy-to-use, real-time data warehouse with horizontal scalability and high availability.
How We Build an HTAP Database That Simplifies Your Data Platform
This post talks about why HTAP matters in a database platform, how TiDB implements HTAP, and how you can apply TiDB in different scenarios.
Delivering Real-time Analytics and True HTAP by Combining Columnstore and Rowstore
TiDB is an HTAP database that targets both OLTP and OLAP scenarios. TiFlash is its extended analytical engine. This post introduces how TiFlash fuels TiDB to become a true HTAP database that lets users perform real-time analytics.