DBMS > Drizzle vs. Manticore Search vs. searchxml vs. TerarkDB

System Properties Comparison Drizzle vs. Manticore Search vs. searchxml vs. TerarkDB

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Name	Drizzle  Xexclude from comparison	Manticore Search  Xexclude from comparison	searchxml  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.
Description	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Multi-storage database for search, including full-text search.	DBMS for structured and unstructured content wrapped with an application server	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	Relational DBMS	Search engine	Native XML DBMS Search engine	Key-value store
Secondary database models		Time Series DBMS using the Manticore Columnar Library
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #322   Overall #20   Search engines	Score 0.00 Rank #356   Overall #7   Native XML DBMS #23   Search engines	Score 0.00 Rank #356   Overall #57   Key-value stores
Website		manticoresearch.com	www.searchxml.net/­category/­products	github.com/­Terark/­terarkdb
Technical documentation		manual.manticoresearch.com	www.searchxml.net/­support/­handouts	github.com/­Terark/­terarkdb/­wiki
Developer	Drizzle project, originally started by Brian Aker	Manticore Software	informationpartners gmbh	Terark
Initial release	2008	2017	2015	2016
Current release	7.2.4, September 2012	4.2, December 2021	1.0
License Commercial or Open Source	Open Source GNU GPL	Open Source GPL version 2	commercial	commercial restricted open source version available
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++	C++	C++	C++
Server operating systems	FreeBSD Linux OS X	FreeBSD Linux macOS Windows	Windows
Data scheme	yes	Fixed schema	schema-free	schema-free
Typing predefined data types such as float or date	yes	Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean	yes	no
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.		Can index from XML	yes	no
Secondary indexes	yes	yes full-text index on all search fields	yes	no
SQL Support of SQL	yes with proprietary extensions	SQL-like query language	no	no
APIs and other access methods	JDBC	Binary API RESTful HTTP/JSON API RESTful HTTP/SQL API SQL over MySQL	RESTful HTTP API WebDAV XQuery XSLT	C++ API Java API
Supported programming languages	C C++ Java PHP	Elixir Go Java JavaScript (Node.js) Perl PHP Python	C++ most other programming languages supported via APIs	C++ Java
Server-side scripts Stored procedures	no	user defined functions	yes on the application server	no
Triggers	no hooks for callbacks inside the server can be used.	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding Partitioning is done manually, search queries against distributed index is supported	none	none
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication Source-replica replication	Synchronous replication based on Galera library	yes sychronisation to multiple collections	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system			Immediate Consistency
Foreign keys Referential integrity	yes	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	yes isolated transactions for atomic changes and binary logging for safe writes	multiple readers, single writer	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes The original contents of fields are not stored in the Manticore index.	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.			no	yes
User concepts Access control	Pluggable authentication mechanisms e.g. LDAP, HTTP	no	Domain, group and role-based access control at the document level and for application services	no
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	Drizzle	Manticore Search	searchxml	TerarkDB
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