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

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

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEsgynDB  Xexclude from comparisonSQream DB  Xexclude from comparisonSurrealDB  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 fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.datomic.comwww.esgyn.cnsqream.comsurrealdb.com
Technical documentationdocs.datomic.comdocs.sqream.comsurrealdb.com/­docs
DeveloperCognitectEsgynSQream TechnologiesSurrealDB Ltd
Initial release2012201520172022
Current release1.0.6735, June 20232022.1.6, December 2022v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source
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++, JavaC++, CUDA, Haskell, Java, ScalaRust
Server operating systemsAll OS with a Java VMLinuxLinuxLinux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyesyesSQL-like query language
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored Proceduresuser defined functions in Python
TriggersBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardinghorizontal and vertical partitioning
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 methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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 developmentno
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes, based on authentication and database rules

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More resources
DatomicEsgynDBSQream DBSurrealDB
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