DBMS > Drizzle vs. MongoDB vs. openGauss
System Properties Comparison Drizzle vs. MongoDB vs. openGauss
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|Editorial information provided by DB-Engines|
|Name||Drizzle Xexclude from comparison||MongoDB Xexclude from comparison||openGauss 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.||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei|
|Primary database model||Relational DBMS||Document store||Relational DBMS|
|Secondary database models||Spatial DBMS|
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
|Developer||Drizzle project, originally started by Brian Aker||MongoDB, Inc||Huawei and openGauss community|
|Current release||7.2.4, September 2012||6.0.1, August 2022||3.0, March 2022|
|License Commercial or Open Source||Open Source GNU GPL||Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.||Open Source|
|Cloud-based only Only available as a cloud service||no||no MongoDB available as DBaaS (MongoDB Atlas)||no|
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|Implementation language||C++||C++||C, C++, Java|
|Server operating systems||FreeBSD|
|Data scheme||yes||schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.||yes|
|Typing predefined data types such as float or date||yes||yes string, integer, double, decimal, boolean, date, object_id, geospatial||yes|
|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.||no|
|SQL Support of SQL||yes with proprietary extensions||Read-only SQL queries via the MongoDB Connector for BI||ANSI SQL 2011|
|APIs and other access methods||JDBC||proprietary protocol using JSON||JDBC|
|Supported programming languages||C|
|Actionscript unofficial driver|
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Triggers||no hooks for callbacks inside the server can be used.||yes in MongoDB Atlas only||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.||horizontal partitioning (by range, list and hash)|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|Multi-Source deployments with MongoDB Atlas Global Clusters|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Immediate Consistency can be individually decided for each write operation
|Foreign keys Referential integrity||yes||no typically not used, however similar functionality with DBRef possible||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||Multi-document ACID Transactions with snapshot isolation||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes optional, enabled by default||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes In-memory storage engine introduced with MongoDB version 3.2||no|
|User concepts Access control||Pluggable authentication mechanisms e.g. LDAP, HTTP||Access rights for users and roles||Access rights for users, groups and roles according to SQL-standard|
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