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DBMS > Datomic vs. DolphinDB vs. Hypertable vs. openGauss vs. SQream DB

System Properties Comparison Datomic vs. DolphinDB vs. Hypertable vs. openGauss vs. SQream DB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDolphinDB  Xexclude from comparisonHypertable  Xexclude from comparisonopenGauss  Xexclude from comparisonSQream DB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.An open source BigTable implementation based on distributed file systems such as HadoopAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huaweia GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSTime Series DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.datomic.comwww.dolphindb.comgitee.com/­opengauss
opengauss.org
sqream.com
Technical documentationdocs.datomic.comdocs.dolphindb.cn/­en/­help200/­index.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.sqream.com
DeveloperCognitectDolphinDB, IncHypertable Inc.Huawei and openGauss communitySQream Technologies
Initial release20122018200920192017
Current release1.0.6735, June 2023v2.00.4, January 20220.9.8.11, March 20163.0, March 20222022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infofree community version availableOpen Source infoGNU version 3. Commercial license availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C++C, C++, JavaC++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes, ANSI Standard SQL Types
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 indexesyesyesrestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLnoSQL-like query languagenoANSI SQL 2011yes
APIs and other access methodsRESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
C++ API
Thrift
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesClojure
Java
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Java
Perl
PHP
Python
Ruby
C
C++
Java
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesnoyesuser defined functions in Python
TriggersBy using transaction functionsnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningShardinghorizontal partitioning (by range, list and hash)horizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesselectable replication factor on file system levelSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 developmentyesno
User concepts infoAccess controlnoAdministrators, Users, GroupsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
DatomicDolphinDBHypertableopenGaussSQream DB
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