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DBMS > Couchbase vs. LevelDB vs. MariaDB vs. Valentina Server vs. Weaviate

System Properties Comparison Couchbase vs. LevelDB vs. MariaDB vs. Valentina Server vs. Weaviate

Editorial information provided by DB-Engines
NameCouchbase infoOriginally called Membase  Xexclude from comparisonLevelDB  Xexclude from comparisonMariaDB  Xexclude from comparisonValentina Server  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMySQL 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.Object-relational database and reports serverAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeKey-value storeRelational DBMSRelational DBMSVector DBMS
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Document store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.46
Rank#36  Overall
#5  Document stores
Score2.75
Rank#107  Overall
#19  Key-value stores
Score93.81
Rank#13  Overall
#9  Relational DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitewww.couchbase.comgithub.com/­google/­leveldbmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
www.valentina-db.netgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.couchbase.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmariadb.com/­kb/­en/­libraryvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpweaviate.io/­developers/­weaviate
DeveloperCouchbase, Inc.GoogleMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Paradigma SoftwareWeaviate B.V.
Initial release201120112009 infoFork of MySQL, which was first released in 199519992019
Current releaseServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20231.23, February 202111.3.2, February 20245.7.51.19, May 2023
License infoCommercial or Open SourceOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Source infoBSDOpen Source infoGPL version 2, commercial enterprise subscription availablecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, Go and ErlangC++C and C++Go
Server operating systemsLinux
OS X
Windows
Illumos
Linux
OS X
Windows
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infoDynamic columns are supportedyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.noyesno
Secondary indexesyesnoyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesnoyes infowith proprietary extensionsyesGraphQL is used as query language
APIs and other access methodsCLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
ADO.NET
JDBC
ODBC
Proprietary native API
ODBCGraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresFunctions and timers in JavaScript and UDFs in Java, Python, SQL++noyes infoPL/SQL compatibility added with version 10.3yesno
Triggersyes infovia the TAP protocolnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic Shardingnoneseveral options for horizontal partitioning and ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoincluding cross data center replication
Source-replica replication
noneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infonot for in-memory storage engineyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoEphemeral bucketsyes infowith MEMORY storage engineyesyes
User concepts infoAccess controlUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.nofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Couchbase infoOriginally called MembaseLevelDBMariaDBValentina ServerWeaviate
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
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Weaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
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As a database supporting the development of generative AI and semantic search applications...
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Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
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All companies that have data. ​
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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More resources
Couchbase infoOriginally called MembaseLevelDBMariaDBValentina ServerWeaviate
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