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DBMS > Drizzle vs. Google Cloud Datastore vs. MariaDB vs. Milvus vs. SQL.JS

System Properties Comparison Drizzle vs. Google Cloud Datastore vs. MariaDB vs. Milvus vs. SQL.JS

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMariaDB  Xexclude from comparisonMilvus  Xexclude from comparisonSQL.JS  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.A DBMS designed for efficient storage of vector data and vector similarity searchesPort of SQLite to JavaScript
Primary database modelRelational DBMSDocument storeRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score93.21
Rank#13  Overall
#9  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitecloud.google.com/­datastoremariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
milvus.iosql.js.org
Technical documentationcloud.google.com/­datastore/­docsmariadb.com/­kb/­en/­librarymilvus.io/­docs/­overview.mdsql.js.org/­documentation/­index.html
DeveloperDrizzle project, originally started by Brian AkerGoogleMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Alon Zakai infoenhancements implemented by others
Initial release200820082009 infoFork of MySQL, which was first released in 199520192012
Current release7.2.4, September 201211.3.2, February 20242.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++C and C++C++, GoJavaScript
Server operating systemsFreeBSD
Linux
OS X
hostedFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyes infoDynamic columns are supportedyes
Typing infopredefined data types such as float or dateyesyes, details hereyesVector, Numeric and Stringyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query language (GQL)yes infowith proprietary extensionsnoyes infoSQL-92 is not fully supported
APIs and other access methodsJDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Proprietary native API
RESTful HTTP APIJavaScript API
Supported programming languagesC
C++
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnousing Google App Engineyes infoPL/SQL compatibility added with version 10.3nono
Triggersno infohooks for callbacks inside the server can be used.Callbacks using the Google Apps Engineyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingseveral options for horizontal partitioning and ShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication using PaxosMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
none
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infonot for MyISAM storage enginenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infonot for in-memory storage engineyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infowith MEMORY storage engineyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardRole based access control and fine grained access rightsno
More information provided by the system vendor
DrizzleGoogle Cloud DatastoreMariaDBMilvusSQL.JS
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for MariaDB provides a native environment for MariaDB database management and development.
» more

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More resources
DrizzleGoogle Cloud DatastoreMariaDBMilvusSQL.JS
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