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DBMS > Datomic vs. FoundationDB vs. GeoSpock vs. Hive vs. InterSystems Caché

System Properties Comparison Datomic vs. FoundationDB vs. GeoSpock vs. Hive vs. InterSystems Caché

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFoundationDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonInterSystems Caché  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOrdered key-value store. Core features are complimented by layers.Spatial and temporal data processing engine for extreme data scaledata warehouse software for querying and managing large distributed datasets, built on HadoopA multi-model DBMS and application server
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websitewww.datomic.comgithub.com/­apple/­foundationdbgeospock.comhive.apache.orgwww.intersystems.com/­products/­cache
Technical documentationdocs.datomic.comapple.github.io/­foundationdbcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.intersystems.com
DeveloperCognitectFoundationDBGeoSpockApache Software Foundation infoinitially developed by FacebookInterSystems
Initial release2012201320121997
Current release1.0.6735, June 20236.2.28, November 20202.0, September 20193.1.3, April 20222018.1.4, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++Java, JavascriptJava
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
hostedAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-free infosome layers support schemasyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesyes
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 indexesyesnotemporal, categoricalyesyes
SQL infoSupport of SQLnosupported in specific SQL layer onlyANSI SQL for query only (using Presto)SQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP APIJDBCJDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
Java
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
PHP
Python
C#
C++
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsin SQL-layer onlynoyes infouser defined functions and integration of map-reduceyes
TriggersBy using transaction functionsnononoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnonoAccess rights for users can be defined per tableAccess rights for users, groups and rolesAccess rights for users, groups and roles

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More resources
DatomicFoundationDBGeoSpockHiveInterSystems Caché
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