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DBMS > Datomic vs. InterSystems Caché vs. Oracle Berkeley DB vs. RocksDB

System Properties Comparison Datomic vs. InterSystems Caché vs. Oracle Berkeley DB vs. RocksDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA multi-model DBMS and application serverWidely used in-process key-value storeEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.83
Rank#101  Overall
#49  Relational DBMS
Score3.54
Rank#88  Overall
#16  Key-value stores
#1  Object oriented DBMS
#44  Relational DBMS
Score3.56
Rank#87  Overall
#15  Key-value stores
#2  Native XML DBMS
Score3.65
Rank#86  Overall
#14  Key-value stores
Websitewww.datomic.comwww.intersystems.com/­products/­cachewww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlrocksdb.org
Technical documentationdocs.datomic.comdocs.intersystems.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectInterSystemsOracle infooriginally developed by Sleepycat, which was acquired by OracleFacebook, Inc.
Initial release2012199719942013
Current release0.9.5951, July 20192017.2, October 201718.1 (Core), June 20186.11.4, July 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infocommercial license availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesdepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.noyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesClojure
Java
C#
C++
Java
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesnono
TriggersBy using transaction functionsyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyesyesyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesnono

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More resources
DatomicInterSystems CachéOracle Berkeley DBRocksDB
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