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DBMS > Datomic vs. Hypertable vs. InterSystems Caché vs. Oracle Berkeley DB vs. TempoIQ

System Properties Comparison Datomic vs. Hypertable vs. InterSystems Caché vs. Oracle Berkeley DB vs. TempoIQ

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed 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.TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as HadoopA multi-model DBMS and application serverWidely used in-process key-value storeScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSWide column storeKey-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
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitewww.datomic.comwww.intersystems.com/­products/­cachewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmltempoiq.com (offline)
Technical documentationdocs.datomic.comdocs.intersystems.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperCognitectHypertable Inc.InterSystemsOracle infooriginally developed by Sleepycat, which was acquired by OracleTempoIQ
Initial release20122009199719942012
Current release1.0.6735, June 20230.9.8.11, March 20162018.1.4, May 202018.1.40, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freedepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnoyes
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 indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnonoyesyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesClojure
Java
C++
Java
Perl
PHP
Python
Ruby
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
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyesnono
TriggersBy using transaction functionsnoyesyes infoonly for the SQL APIyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 developmentyesyesno
User concepts infoAccess controlnonoAccess rights for users, groups and rolesnosimple authentication-based access control

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More resources
DatomicHypertableInterSystems CachéOracle Berkeley DBTempoIQ infoformerly TempoDB
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