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DBMS > FatDB vs. Fujitsu Enterprise Postgres vs. Greenplum vs. Lovefield

System Properties Comparison FatDB vs. Fujitsu Enterprise Postgres vs. Greenplum vs. Lovefield

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGreenplum  Xexclude from comparisonLovefield  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Embeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitewww.postgresql.fastware.comgreenplum.orggoogle.github.io/­lovefield
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.greenplum.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperFatCloudPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyPivotal Software Inc.Google
Initial release201220052014
Current releaseFujitsu Enterprise Postgres 14, January 20227.0.0, September 20232.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#CJavaScript
Server operating systemsWindowsLinux
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesyesyes
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.yes infosince Version 4.2no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServeryesyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesC#.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Java
Perl
Python
R
JavaScript
Server-side scripts infoStored proceduresyes infovia applicationsuser defined functionsyesno
Triggersyes infovia applicationsyesyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDB
User concepts infoAccess controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
FatDBFujitsu Enterprise PostgresGreenplumLovefield
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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FatDBFujitsu Enterprise PostgresGreenplumLovefield
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