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

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

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGeode  Xexclude from comparisonKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparisonMongoDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 databaseOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
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
Document store
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
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
Score423.96
Rank#5  Overall
#1  Document stores
Websitegithub.com/­apple/­foundationdbgeode.apache.orgwww.kinetica.comwww.marklogic.comwww.mongodb.com
Technical documentationapple.github.io/­foundationdbgeode.apache.org/­docsdocs.kinetica.comdocs.marklogic.comwww.mongodb.com/­docs/­manual
DeveloperFoundationDBOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.KineticaMarkLogic Corp.MongoDB, Inc
Initial release20132002201220012009
Current release6.2.28, November 20201.1, February 20177.1, August 202111.0, December 20226.0.7, June 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 infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonononono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC++JavaC, C++C++C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-free infosome layers support schemasschema-freeyesschema-free infoSchema can be enforcedschema-free infoAlthough 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.
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.nonoyes
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like query language (OQL)SQL-like DML and DDL statementsyes infoSQL92Read-only SQL queries via the MongoDB Atlas SQL Interface
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
HTTP REST
Prisma
proprietary protocol using JSON
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
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresin SQL-layer onlyuser defined functionsuser defined functionsyes infovia XQuery or JavaScriptJavaScript
Triggersnoyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationSource-replica replicationyesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integrityin SQL-layer onlynoyesnono infotypically not used, however similar functionality with DBRef possible
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 transactionMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptional, enabled by default
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 infoIn-memory storage engine introduced with MongoDB version 3.2
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 levelsAccess rights for users and roles
More information provided by the system vendor
FoundationDBGeodeKineticaMarkLogicMongoDB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
FoundationDBGeodeKineticaMarkLogicMongoDB
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