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DBMS > Datomic vs. Hyprcubd vs. InterSystems Caché vs. LevelDB vs. RocksDB

System Properties Comparison Datomic vs. Hyprcubd vs. InterSystems Caché vs. LevelDB vs. RocksDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHyprcubd  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLevelDB  Xexclude from comparisonRocksDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is 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 durabilityServerless Time Series DBMSA multi-model DBMS and application serverEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Key-value storeKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitewww.datomic.comhyprcubd.com (offline)www.intersystems.com/­products/­cachegithub.com/­google/­leveldbrocksdb.org
Technical documentationdocs.datomic.comdocs.intersystems.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectHyprcubd, Inc.InterSystemsGoogleFacebook, Inc.
Initial release2012199720112013
Current release1.0.7180, July 20242018.1.4, May 20201.23, February 20219.4.0, June 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoBSDOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGoC++C++
Server operating systemsAll OS with a Java VMhostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
Data schemeyesyesdepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesnono
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.nonoyesnono
Secondary indexesyesnoyesnono
SQL infoSupport of SQLnoSQL-like query languageyesnono
APIs and other access methodsRESTful HTTP APIgRPC (https).NET Client API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesClojure
Java
C#
C++
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyesnono
TriggersBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infowith automatic compression on writesyes
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 developmentnoyesyes
User concepts infoAccess controlnotoken accessAccess rights for users, groups and rolesnono

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More resources
DatomicHyprcubdInterSystems CachéLevelDBRocksDB
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