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DBMS > Apache IoTDB vs. DolphinDB vs. IBM Db2 warehouse vs. Quasardb vs. SAP SQL Anywhere

System Properties Comparison Apache IoTDB vs. DolphinDB vs. IBM Db2 warehouse vs. Quasardb vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkDolphinDB 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.Cloud-based data warehousing serviceDistributed, high-performance timeseries databaseRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websiteiotdb.apache.orgwww.dolphindb.comwww.ibm.com/­products/­db2/­warehousequasar.aiwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.dolphindb.cn/­en/­help200/­index.htmldoc.quasar.ai/­masterhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperApache Software FoundationDolphinDB, IncIBMquasardbSAP infoformerly Sybase
Initial release20182018201420091992
Current release1.1.0, April 2023v2.00.4, January 20223.14.1, January 202417, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community version availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
hostedBSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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 infoImport/export of XML data possiblenoyes
Secondary indexesyesyesyesyes infowith tagsyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyesSQL-like query languageyes
APIs and other access methodsJDBC
Native API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.NET Client API
JDBC
ODBC
OLE DB
HTTP APIADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesPL/SQL, SQL PLnoyes, in C/C++, Java, .Net or Perl
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioningShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesyesSource-replica replication with selectable replication factorSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoTransient modeyes
User concepts infoAccess controlyesAdministrators, Users, Groupsfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
Apache IoTDBDolphinDBIBM Db2 warehouse infoformerly named IBM dashDBQuasardbSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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