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DBMS > DolphinDB vs. Fujitsu Enterprise Postgres vs. InfluxDB vs. Microsoft Azure Table Storage

System Properties Comparison DolphinDB vs. Fujitsu Enterprise Postgres vs. InfluxDB vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonInfluxDB  Xexclude from comparisonMicrosoft Azure Table Storage  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.DBMS for storing time series, events and metricsA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSTime Series DBMSWide column store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Spatial DBMS infowith GEO package
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
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Websitewww.dolphindb.comwww.postgresql.fastware.comwww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.postgresql.fastware.com/­product-manualsdocs.influxdata.com/­influxdb
DeveloperDolphinDB, IncPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMicrosoft
Initial release201820132012
Current releasev2.00.4, January 2022Fujitsu Enterprise Postgres 14, January 20222.7.6, April 2024
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CGo
Server operating systemsLinux
Windows
Linux
Windows
Linux
OS X infothrough Homebrew
hosted
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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 indexesyesyesnono
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languageno
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
HTTP API
JSON over UDP
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningpartitioning by range, list and by hashSharding infoin enterprise version onlySharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor infoin enterprise version onlyyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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 infoDepending on used storage engineno
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardsimple rights management via user accountsAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
DolphinDBFujitsu Enterprise PostgresInfluxDBMicrosoft Azure Table Storage
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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