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DBMS > DolphinDB vs. Netezza vs. Oracle Rdb vs. Prometheus

System Properties Comparison DolphinDB vs. Netezza vs. Oracle Rdb vs. Prometheus

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle Rdb  Xexclude from comparisonPrometheus  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.Data warehouse and analytics appliance part of IBM PureSystemsOpen-source Time Series DBMS and monitoring system
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series 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
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitewww.dolphindb.comwww.ibm.com/­products/­netezzawww.oracle.com/­database/­technologies/­related/­rdb.htmlprometheus.io
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlprometheus.io/­docs
DeveloperDolphinDB, IncIBMOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2018200019842015
Current releasev2.00.4, January 20227.4.1.1, 2021
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Go
Server operating systemsLinux
Windows
Linux infoincluded in applianceHP Open VMSLinux
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesyesno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
OLE DB
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyes, on a single nodeno
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.yesnono
User concepts infoAccess controlAdministrators, Users, GroupsUsers with fine-grained authorization conceptno

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More resources
DolphinDBNetezza infoAlso called PureData System for Analytics by IBMOracle RdbPrometheus
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