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DBMS > DolphinDB vs. Fujitsu Enterprise Postgres vs. SWC-DB

System Properties Comparison DolphinDB vs. Fujitsu Enterprise Postgres vs. SWC-DB

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A high performance, scalable Wide Column DBMS
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSWide column store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.54
Rank#102  Overall
#8  Time Series DBMS
#6  Vector DBMS
Score0.28
Rank#291  Overall
#132  Relational DBMS
Score0.01
Rank#382  Overall
#13  Wide column stores
Websitewww.dolphindb.comwww.postgres.global.fujitsu.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.postgres.global.fujitsu.com/­product-manuals
DeveloperDolphinDB, IncFujitsu LimitedAlex Kashirin
Initial release20182020
Current releasev2.00.4, January 2022Fujitsu Enterprise Postgres 16, May 20240.5, April 2021
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++
Server operating systemsLinux
Windows
Linux
Windows
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like query language
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standard

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More resources
DolphinDBFujitsu Enterprise PostgresSWC-DB infoSuper Wide Column Database
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