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DBMS > DolphinDB vs. JaguarDB vs. Microsoft Azure Table Storage vs. Teradata Aster vs. TerarkDB

System Properties Comparison DolphinDB vs. JaguarDB vs. Microsoft Azure Table Storage vs. Teradata Aster vs. TerarkDB

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTerarkDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be 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.Performant, highly scalable DBMS for AI and IoT applicationsA Wide Column Store for rapid development using massive semi-structured datasetsPlatform for big data analytics on multistructured data sources and typesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelTime Series DBMSKey-value store
Vector DBMS
Wide column storeRelational DBMSKey-value store
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
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.dolphindb.comwww.jaguardb.comazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­bytedance/­terarkdb
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.jaguardb.com/­support.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDolphinDB, IncDataJaguar, Inc.MicrosoftTeradataByteDance, originally Terark
Initial release20182015201220052016
Current releasev2.00.4, January 20223.3 July 2023
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGPL V3.0commercialcommercialcommercial inforestricted open source version available
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 languageC++C++ infothe server part. Clients available in other languagesC++
Server operating systemsLinux
Windows
LinuxhostedLinux
Data schemeyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononoyes infoin Aster File Storeno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like query languageA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyesno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
C++ API
Java API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored proceduresyesnonoR packagesno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnooptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnononoyes
User concepts infoAccess controlAdministrators, Users, Groupsrights management via user accountsAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardno

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More resources
DolphinDBJaguarDBMicrosoft Azure Table StorageTeradata AsterTerarkDB
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