Tokutek: Database
Tokutek is a storage engine for the MySQL and MariaDB relational database management systems that provides fast indexing and querying of large volumes of data.
- Since:2006
- Changelog:www.percona.com
- Dockerhub:tokudb
- Docs:www.percona.com
- Github Topic:tokutek
- Official:www.percona.com
- Reddit:r/Percona
- Repository:github.com
- Twitter:@Percona
- Wikipedia:TokuDB
#What is Tokutek:?
Tokutek is a high-performance database built on top of MySQL. It was created to address the limitations of MySQL in managing large and rapidly-growing datasets. Tokutek uses a unique indexing technology that allows for faster insertion and retrieval of data while minimizing disk space usage.
#Tokutek: Key Features
Here are six recognizable features of Tokutek database:
- Supports multiple data access methods including SQL and NoSQL APIs.
- Offers superior write and read performance compared to traditional MySQL databases.
- Features a patented Fractal Tree indexing technology that enables fast data insertions and queries.
- Provides transparent data compression to minimize storage requirements.
- Supports replication and sharding for high availability and scalability.
- Offers a powerful backup and restore feature for disaster recovery.
#Tokutek: Use-Cases
Here are six common use-cases for Tokutek database:
- High-speed data ingestion and processing for real-time analytics and reporting.
- Managing high-velocity data streams such as log files and social media feeds.
- Storing and analyzing large datasets with complex relationships.
- Deploying high-performance data storage and retrieval systems for web applications.
- Managing high-traffic e-commerce sites and online transaction processing (OLTP) applications.
- Deploying cost-effective, high-performance big data platforms in the cloud.
#Tokutek: Summary
Tokutek is a high-performance database built on top of MySQL, featuring a unique indexing technology that allows for faster data retrieval and minimal disk space usage, making it ideal for handling high-velocity data streams and large, rapidly-growing datasets.
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