DBMS > Drizzle vs. MongoDB vs. Stardog
System Properties Comparison Drizzle vs. MongoDB vs. Stardog
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|Editorial information provided by DB-Engines|
|Name||Drizzle Xexclude from comparison||MongoDB Xexclude from comparison||Stardog 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||Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization|
|Primary database model||Relational DBMS||Document store||Graph 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
Vector DBMS currently available in the MongoDB Atlas cloud service only
|Developer||Drizzle project, originally started by Brian Aker||MongoDB, Inc||Stardog-Union|
|Current release||7.2.4, September 2012||6.0.7, June 2023||7.3.0, May 2020|
|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.||commercial 60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students|
|Cloud-based only Only available as a cloud service||no||no MongoDB available as DBaaS (MongoDB Atlas)||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.|
|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.||schema-free and OWL/RDFS-schema support|
|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 Import/export of XML data possible|
|Secondary indexes||yes||yes||yes supports real-time indexing in full-text and geospatial|
|SQL Support of SQL||yes with proprietary extensions||Read-only SQL queries via the MongoDB Atlas SQL Interface||Yes, compatible with all major SQL variants through dedicated BI/SQL Server|
|APIs and other access methods||JDBC||GraphQL|
proprietary protocol using JSON
|GraphQL query language|
Jena RDF API
Sesame REST HTTP Protocol
|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 via event handlers|
|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.||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|Multi-Source deployments with MongoDB Atlas Global Clusters|
|Multi-source replication in HA-Cluster|
|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 can be individually decided for each read operation|
Immediate Consistency default behaviour
|Immediate Consistency in HA-Cluster|
|Foreign keys Referential integrity||yes||no typically not used, however similar functionality with DBRef possible||yes relationships in graphs|
|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||yes|
|User concepts Access control||Pluggable authentication mechanisms e.g. LDAP, HTTP||Access rights for users and roles||Access rights for users and roles|
|More information provided by the system vendor|
|Specific characteristics||MongoDB provides an integrated suite of cloud database and data services to accelerate...|
|Competitive advantages||Built around the flexible document data model and unified API, MongoDB is a developer...|
|Typical application scenarios||AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...|
|Key customers||ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...|
|Market metrics||Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...|
|Licensing and pricing models||MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...|
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|3rd parties||Studio 3T: The world's favorite IDE for working with MongoDB|
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