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DBMS > DolphinDB vs. HarperDB vs. HugeGraph vs. IBM Db2 warehouse vs. SAP SQL Anywhere

System Properties Comparison DolphinDB vs. HarperDB vs. HugeGraph vs. IBM Db2 warehouse vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonHarperDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A fast-speed and highly-scalable Graph DBMSCloud-based data warehousing serviceRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelTime Series DBMSDocument storeGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitewww.dolphindb.comwww.harperdb.iogithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2/­warehousewww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.harperdb.io/­docshugegraph.apache.org/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperDolphinDB, IncHarperDBBaiduIBMSAP infoformerly Sybase
Initial release20182017201820141992
Current releasev2.00.4, January 20223.1, August 20210.917, July 2015
License infoCommercial or Open Sourcecommercial infofree community version availablecommercial infofree community edition availableOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Node.jsJava
Server operating systemsLinux
Windows
Linux
OS X
Linux
macOS
Unix
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesdynamic schemayesyesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesyes
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.nononono infoImport/export of XML data possibleyes
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like data manipulation statementsnoyesyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Groovy
Java
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesCustom Functions infosince release 3.1asynchronous Gremlin script jobsPL/SQL, SQL PLyes, in C/C++, Java, .Net or Perl
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningA table resides as a whole on one (or more) nodes in a clusteryes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedyes infodepending on used storage backend, e.g. Cassandra and HBaseyesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users and rolesUsers, roles and permissionsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DolphinDBHarperDBHugeGraphIBM Db2 warehouse infoformerly named IBM dashDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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