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DBMS > DolphinDB vs. Hypertable vs. IBM Cloudant vs. Solr

System Properties Comparison DolphinDB vs. Hypertable vs. IBM Cloudant vs. Solr

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSolr  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 CouchDBA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelTime Series DBMSWide column storeDocument storeSearch engine
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.dolphindb.comwww.ibm.com/­products/­cloudantsolr.apache.org
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.ibm.com/­docs/­Cloudantsolr.apache.org/­resources.html
DeveloperDolphinDB, IncHypertable Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software Foundation
Initial release2018200920102006
Current releasev2.00.4, January 20220.9.8.11, March 20169.6.1, May 2024
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ErlangJava
Server operating systemsLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnonoyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagenonoSolr Parallel SQL Interface
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 APIJava API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoView functions (Map-Reduce) in JavaScriptJava plugins
Triggersnonoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono infoatomic operations within a document possibleoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes
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, GroupsnoAccess rights for users can be defined per databaseyes

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More resources
DolphinDBHypertableIBM CloudantSolr
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