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DBMS > DolphinDB vs. EDB Postgres vs. H2 vs. SQream DB vs. Sqrrl

System Properties Comparison DolphinDB vs. EDB Postgres vs. H2 vs. SQream DB vs. Sqrrl

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonEDB Postgres  Xexclude from comparisonH2  Xexclude from comparisonSQream DB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionDolphinDB 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.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.a GPU-based, columnar RDBMS for big data analytics workloadsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.dolphindb.comwww.enterprisedb.comwww.h2database.comsqream.comsqrrl.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.enterprisedb.com/­docswww.h2database.com/­html/­main.htmldocs.sqream.com
DeveloperDolphinDB, IncEnterpriseDBThomas MuellerSQream TechnologiesAmazon infooriginally Sqrrl Data, Inc.
Initial release20182005200520172012
Current releasev2.00.4, January 202214, December 20212.2.220, July 20232022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infofree community version availablecommercial infoBSD for PostgreSQL-componentsOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaC++, CUDA, Haskell, Java, ScalaJava
Server operating systemsLinux
Windows
Linux
Windows
All OS with a Java VMLinuxLinux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, 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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyes infostandard with numerous extensionsyesyesno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
.Net
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
JavaC++
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Procedures and User-Defined Functionsuser defined functions in Pythonno
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoby hash, list or rangenonehorizontal and vertical partitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databasenoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
DolphinDBEDB PostgresH2SQream DBSqrrl
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