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DBMS > FoundationDB vs. Geode vs. Kinetica vs. MarkLogic vs. Weaviate

System Properties Comparison FoundationDB vs. Geode vs. Kinetica vs. MarkLogic vs. Weaviate

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGeode  Xexclude from comparisonKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparisonWeaviate  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesFully vectorized database across both GPUs and CPUsOperational and transactional Enterprise NoSQL databaseAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Vector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score1.99
Rank#133  Overall
#23  Key-value stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitegithub.com/­apple/­foundationdbgeode.apache.orgwww.kinetica.comwww.marklogic.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationapple.github.io/­foundationdbgeode.apache.org/­docsdocs.kinetica.comdocs.marklogic.comweaviate.io/­developers/­weaviate
DeveloperFoundationDBOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.KineticaMarkLogic Corp.Weaviate B.V.
Initial release20132002201220012019
Current release6.2.28, November 20201.1, February 20177.1, August 202111.0, December 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial inforestricted free version is availableOpen 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++JavaC, C++C++Go
Server operating systemsLinux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
OS X
Windows
Data schemeschema-free infosome layers support schemasschema-freeyesschema-free infoSchema can be enforcedyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyesyes 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.nonoyesno
Secondary indexesnonoyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like query language (OQL)SQL-like DML and DDL statementsyes infoSQL92GraphQL is used as query language
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresin SQL-layer onlyuser defined functionsuser defined functionsyes infovia XQuery or JavaScriptno
Triggersnoyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenoACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes, with Range Indexesyes
User concepts infoAccess controlnoAccess rights per client and object definableAccess rights for users and roles on table levelRole-based access control at the document and subdocument levelsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
FoundationDBGeodeKineticaMarkLogicWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
FoundationDBGeodeKineticaMarkLogicWeaviate
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