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DBMS > DolphinDB vs. Sphinx vs. Ultipa

System Properties Comparison DolphinDB vs. Sphinx vs. Ultipa

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonSphinx  Xexclude from comparisonUltipa  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.Open source search engine for searching in data from different sources, e.g. relational databasesHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelTime Series DBMSSearch engineGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score0.16
Rank#332  Overall
#29  Graph DBMS
Websitewww.dolphindb.comsphinxsearch.comwww.ultipa.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlsphinxsearch.com/­docswww.ultipa.com/­document
DeveloperDolphinDB, IncSphinx Technologies Inc.Ultipa
Initial release201820012019
Current releasev2.00.4, January 20223.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesno
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.no
Secondary indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Proprietary protocolRESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAdministrators, Users, Groupsno

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