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DBMS > Fujitsu Enterprise Postgres vs. Geode vs. Heroic vs. SingleStore vs. SWC-DB

System Properties Comparison Fujitsu Enterprise Postgres vs. Geode vs. Heroic vs. SingleStore vs. SWC-DB

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonGeode  Xexclude from comparisonHeroic  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.postgresql.fastware.comgeode.apache.orggithub.com/­spotify/­heroicwww.singlestore.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.postgresql.fastware.com/­product-manualsgeode.apache.org/­docsspotify.github.io/­heroicdocs.singlestore.com
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.SpotifySingleStore Inc.Alex Kashirin
Initial release2002201420132020
Current releaseFujitsu Enterprise Postgres 14, January 20221.1, February 20178.5, January 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0commercial infofree developer edition availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJavaC++, GoC++
Server operating systemsLinux
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux info64 bit version requiredLinux
Data schemeyesschema-freeschema-freeyesschema-free
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.nononono
Secondary indexesyesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLyesSQL-like query language (OQL)noyes infobut no triggers and foreign keysSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java Client API
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Proprietary protocol
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
All JVM based languages
C++
Groovy
Java
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoyesno
Triggersyesyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingShardingSharding infohash partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definableFine grained access control via users, groups and roles
More information provided by the system vendor
Fujitsu Enterprise PostgresGeodeHeroicSingleStore infoformer name was MemSQLSWC-DB infoSuper Wide Column Database
Specific characteristics100% compatible with community PostgreSQL
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
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SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Typical application scenariosTransactional payments applications, reporting and mixed workloads.
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Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
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Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
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Customers in various industries worldwide including US and International Industry...
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Licensing and pricing modelsCore based licensing
» more
F ree Tier and Enterprise Edition
» more

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More resources
Fujitsu Enterprise PostgresGeodeHeroicSingleStore infoformer name was MemSQLSWC-DB infoSuper Wide Column Database
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