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DBMS > DolphinDB vs. FatDB vs. OceanBase vs. Teradata

System Properties Comparison DolphinDB vs. FatDB vs. OceanBase vs. Teradata

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFatDB  Xexclude from comparisonOceanBase  Xexclude from comparisonTeradata  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the 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.A distributed, high available RDBMS compatible with Oracle and MySQLA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMSDocument store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Wide column store
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.dolphindb.comen.oceanbase.comwww.teradata.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlen.oceanbase.com/­docs/­oceanbase-databasedocs.teradata.com
DeveloperDolphinDB, IncFatCloudOceanBase infopreviously Alibaba and Ant GroupTeradata
Initial release2018201220101984
Current releasev2.00.4, January 20224.3.0, April 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoCommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#C++
Server operating systemsLinux
Windows
WindowsLinuxhosted
Linux
Data schemeyesschema-freeyesyes
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.noyesyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languageno infoVia inetgration in SQL Serveryesyes infoSQL 2016 + extensions
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
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes infovia applicationsPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes infovia applicationsyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replication using PaxosMulti-source replication
Source-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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
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.yesyes
User concepts infoAccess controlAdministrators, Users, Groupsno infoCan implement custom security layer via applicationsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DolphinDBFatDBOceanBaseTeradata
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