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DBMS > Datomic vs. EsgynDB vs. SQream DB vs. TerarkDB

System Properties Comparison Datomic vs. EsgynDB vs. SQream DB vs. TerarkDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEsgynDB  Xexclude from comparisonSQream DB  Xexclude from comparisonTerarkDB  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 Trafodiona GPU-based, columnar RDBMS for big data analytics workloadsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.datomic.comwww.esgyn.cnsqream.comgithub.com/­bytedance/­terarkdb
Technical documentationdocs.datomic.comdocs.sqream.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperCognitectEsgynSQream TechnologiesByteDance, originally Terark
Initial release2012201520172016
Current release1.0.6735, June 20232022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, JavaC++, CUDA, Haskell, Java, ScalaC++
Server operating systemsAll OS with a Java VMLinuxLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesno
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 indexesyesyesnono
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
C++ API
Java API
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored Proceduresuser defined functions in Pythonno
TriggersBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardinghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication between multi datacentersnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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)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 developmentnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
DatomicEsgynDBSQream DBTerarkDB
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