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DBMS > DolphinDB vs. FatDB vs. TempoIQ vs. Yaacomo

System Properties Comparison DolphinDB vs. FatDB vs. TempoIQ vs. Yaacomo

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFatDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued 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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Scalable analytics DBMS for sensor data, provided as a service (SaaS)OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSDocument store
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Websitewww.dolphindb.comtempoiq.com (offline)yaacomo.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.html
DeveloperDolphinDB, IncFatCloudTempoIQQ2WEB GmbH
Initial release2018201220122009
Current releasev2.00.4, January 2022
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercialcommercial
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#
Server operating systemsLinux
Windows
WindowsAndroid
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageno infoVia inetgration in SQL Servernoyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP APIJDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyesyes infovia applicationsno
Triggersnoyes infovia applicationsyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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, Groupsno infoCan implement custom security layer via applicationssimple authentication-based access controlfine grained access rights according to SQL-standard

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