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DBMS > Fujitsu Enterprise Postgres vs. Splice Machine vs. STSdb vs. TDengine

System Properties Comparison Fujitsu Enterprise Postgres vs. Splice Machine vs. STSdb vs. TDengine

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTime Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.postgresql.fastware.comsplicemachine.comgithub.com/­STSSoft/­STSdb4github.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.postgresql.fastware.com/­product-manualssplicemachine.com/­how-it-worksdocs.tdengine.com
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologySplice MachineSTS Soft SCTDEngine, previously Taos Data
Initial release201420112019
Current releaseFujitsu Enterprise Postgres 14, January 20223.1, March 20214.0.8, September 20153.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC#C
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
WindowsLinux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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.no
Secondary indexesyesyesnono
SQL infoSupport of SQLyesyesnoStandard SQL with extensions for time-series applications
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
.NET Client APIJDBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsyes infoJavanono
Triggersyesyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, 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.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardnoyes
More information provided by the system vendor
Fujitsu Enterprise PostgresSplice MachineSTSdbTDengine
Specific characteristics100% compatible with community PostgreSQL
» more
TDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsCore based licensing
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Fujitsu Enterprise PostgresSplice MachineSTSdbTDengine
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