DBMS > Brytlyt vs. Drizzle vs. TerarkDB
System Properties Comparison Brytlyt vs. Drizzle vs. TerarkDB
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|Editorial information provided by DB-Engines
|Brytlyt Xexclude from comparison
|Drizzle Xexclude from comparison
|TerarkDB Xexclude from comparison
|Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
|Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL
|MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.
|A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
|Primary database model
|Drizzle project, originally started by Brian Aker
|ByteDance, originally Terark
|5.0, August 2023
|7.2.4, September 2012
|License Commercial or Open Source
|Open Source GNU GPL
|commercial restricted open source version available
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|C, C++ and CUDA
|Server operating systems
|Typing predefined data types such as float or date
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|yes specific XML-type available, but no XML query functionality.
|SQL Support of SQL
|yes with proprietary extensions
|APIs and other access methods
native C library
streaming API for large objects
|Supported programming languages
|Server-side scripts Stored procedures
|user defined functions in PL/pgSQL
|no hooks for callbacks inside the server can be used.
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|fine grained access rights according to SQL-standard
|Pluggable authentication mechanisms e.g. LDAP, HTTP
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|DB-Engines blog posts
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