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DBMS > DolphinDB vs. Hypertable vs. IBM Cloudant vs. Microsoft Azure AI Search vs. VelocityDB

System Properties Comparison DolphinDB vs. Hypertable vs. IBM Cloudant vs. Microsoft Azure AI Search vs. VelocityDB

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonVelocityDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is 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.An open source BigTable implementation based on distributed file systems such as HadoopDatabase as a Service offering based on Apache CouchDBSearch-as-a-service for web and mobile app developmentA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSWide column storeDocument storeSearch engineGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score5.59
Rank#63  Overall
#7  Search engines
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.dolphindb.comwww.ibm.com/­products/­cloudantazure.microsoft.com/­en-us/­services/­searchvelocitydb.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.ibm.com/­docs/­Cloudantlearn.microsoft.com/­en-us/­azure/­searchvelocitydb.com/­UserGuide
DeveloperDolphinDB, IncHypertable Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftVelocityDB Inc
Initial release20182009201020152011
Current releasev2.00.4, January 20220.9.8.11, March 2016V17.x
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGNU version 3. Commercial license availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ErlangC#
Server operating systemsLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
hostedhostedAny that supports .NET
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLSQL-like query languagenononono
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
C++ API
Thrift
RESTful HTTP/JSON APIRESTful HTTP API.Net
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
Java
JavaScript
Python
.Net
Server-side scripts infoStored proceduresyesnoView functions (Map-Reduce) in JavaScriptnono
TriggersnonoyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono infoatomic operations within a document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
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.yesnonoyes
User concepts infoAccess controlAdministrators, Users, GroupsnoAccess rights for users can be defined per databaseyes infousing Azure authenticationBased on Windows Authentication

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More resources
DolphinDBHypertableIBM CloudantMicrosoft Azure AI SearchVelocityDB
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