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DBMS > DolphinDB vs. OrigoDB vs. searchxml

System Properties Comparison DolphinDB vs. OrigoDB vs. searchxml

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonsearchxml  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.A fully ACID in-memory object graph databaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelTime Series DBMS
Vector DBMS
Document store
Object oriented DBMS
Native XML DBMS
Search engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.dolphindb.comorigodb.comwww.searchxml.net/­category/­products
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlorigodb.com/­docswww.searchxml.net/­support/­handouts
DeveloperDolphinDB, IncRobert Friberg et alinformationpartners gmbh
Initial release20182009 infounder the name LiveDB2015
Current releasev2.00.4, January 20221.0
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#C++
Server operating systemsLinux
Windows
Linux
Windows
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes
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.nono infocan be achieved using .NETyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languagenono
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.NET Client API
HTTP API
LINQ
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.NetC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyesyesyes infoon the application server
Triggersnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAdministrators, Users, GroupsRole based authorizationDomain, group and role-based access control at the document level and for application services

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