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DBMS > Fujitsu Enterprise Postgres vs. HarperDB vs. Kinetica vs. TDSQL for MySQL

System Properties Comparison Fujitsu Enterprise Postgres vs. HarperDB vs. Kinetica vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonHarperDB  Xexclude from comparisonKinetica  Xexclude from comparisonTDSQL for MySQL  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Fully vectorized database across both GPUs and CPUsA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.postgresql.fastware.comwww.harperdb.iowww.kinetica.comwww.tencentcloud.com/­products/­dcdb
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.harperdb.io/­docsdocs.kinetica.comwww.tencentcloud.com/­document/­product/­1042
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHarperDBKineticaTencent
Initial release201720122013
Current releaseFujitsu Enterprise Postgres 14, January 20223.1, August 20217.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCNode.jsC, C++
Server operating systemsLinux
Windows
Linux
OS X
Linuxhosted
Data schemeyesdynamic schemayesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like data manipulation statementsSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1user defined functionsyes
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashA table resides as a whole on one (or more) nodes in a clusterShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infothe nodes on which a table resides can be definedSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users and roles on table levelUsers with fine-grained authorization concept
More information provided by the system vendor
Fujitsu Enterprise PostgresHarperDBKineticaTDSQL for MySQL
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Fujitsu Enterprise PostgresHarperDBKineticaTDSQL for MySQL
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