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DBMS > LeanXcale vs. MariaDB vs. Weaviate

System Properties Comparison LeanXcale vs. MariaDB vs. Weaviate

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonMariaDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMySQL 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.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value store
Relational DBMS
Relational DBMSVector 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
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score93.81
Rank#13  Overall
#9  Relational DBMS
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitewww.leanxcale.commariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationmariadb.com/­kb/­en/­libraryweaviate.io/­developers/­weaviate
DeveloperLeanXcaleMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Weaviate B.V.
Initial release20152009 infoFork of MySQL, which was first released in 19952019
Current release11.3.2, February 20241.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Go
Server operating systemsFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Data schemeyesyes infoDynamic columns are supportedyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes 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.yesno
Secondary indexesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyes infothrough Apache Derbyyes infowith proprietary extensionsGraphQL is used as query language
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
Proprietary native API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
Java
Scala
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes infoPL/SQL compatibility added with version 10.3no
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesseveral options for horizontal partitioning and ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infonot for in-memory storage engineyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infowith MEMORY storage engineyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
LeanXcaleMariaDBWeaviate
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
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...
» more

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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
LeanXcaleMariaDBWeaviate
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