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

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

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonSQream DB  Xexclude from comparisonStarRocks  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache Trafodiona GPU-based, columnar RDBMS for big data analytics workloadsAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisA 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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.esgyn.cnsqream.comwww.starrocks.iosurrealdb.com
Technical documentationdocs.sqream.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introsurrealdb.com/­docs
DeveloperEsgynSQream TechnologiesThe Linux Foundation infosince Feb 2023SurrealDB Ltd
Initial release2015201720202022
Current release2022.1.6, December 20222.5.3, March 2023v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open 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 languageC++, JavaC++, CUDA, Haskell, Java, ScalaC++, JavaRust
Server operating systemsLinuxLinuxLinuxLinux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLyesyesyesSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
JDBC
MySQL protocol
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
Python
JavaDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions in Pythonuser defined functions
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal and vertical partitioninghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based access control and fine grained access rightsyes, based on authentication and database rules

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More resources
EsgynDBSQream DBStarRocksSurrealDB
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