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DBMS > EsgynDB vs. Fujitsu Enterprise Postgres vs. gStore vs. HEAVY.AI

System Properties Comparison EsgynDB vs. Fujitsu Enterprise Postgres vs. gStore vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisongStore  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A native Graph DBMS to store and maintain very large RDF datasets.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websitewww.esgyn.cnwww.postgresql.fastware.comen.gstore.cngithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationwww.postgresql.fastware.com/­product-manualsen.gstore.cn/­#/­enDocsdocs.heavy.ai
DeveloperEsgynPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHEAVY.AI, Inc.
Initial release201520162016
Current releaseFujitsu Enterprise Postgres 14, January 20221.2, November 20235.10, January 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaCC++C++ and CUDA
Server operating systemsLinuxLinux
Windows
LinuxLinux
Data schemeyesyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLyesyesnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
SPARQL 1.1
JDBC
ODBC
Thrift
Vega
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationMulti-source replication
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 integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers, roles and permissions, Role-Based Access Control (RBAC) supportedfine grained access rights according to SQL-standard
More information provided by the system vendor
EsgynDBFujitsu Enterprise PostgresgStoreHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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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EsgynDBFujitsu Enterprise PostgresgStoreHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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