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DBMS > Datomic vs. EsgynDB vs. RocksDB

System Properties Comparison Datomic vs. EsgynDB vs. RocksDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEsgynDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.80
Rank#131  Overall
#65  Relational DBMS
Score0.23
Rank#281  Overall
#130  Relational DBMS
Score3.84
Rank#91  Overall
#15  Key-value stores
Websitewww.datomic.comwww.esgyn.cnrocksdb.org
Technical documentationdocs.datomic.comgithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectEsgynFacebook, Inc.
Initial release201220152013
Current release0.9.5951, July 20196.26.1, November 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, JavaC++
Server operating systemsAll OS with a Java VMLinux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyesno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
C++ API
Java API
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC/ADO.NetC++
Java
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored Proceduresno
TriggersBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
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)yesyes
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 controlnofine grained access rights according to SQL-standardno

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More resources
DatomicEsgynDBRocksDB
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