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DBMS > atoti vs. Fujitsu Enterprise Postgres vs. Geode vs. Kinetica vs. SpaceTime

System Properties Comparison atoti vs. Fujitsu Enterprise Postgres vs. Geode vs. Kinetica vs. SpaceTime

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGeode  Xexclude from comparisonKinetica  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Enterprise-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 processesFully vectorized database across both GPUs and CPUsSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelObject oriented DBMSRelational DBMSKey-value storeRelational DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websiteatoti.iowww.postgresql.fastware.comgeode.apache.orgwww.kinetica.comwww.mireo.com/­spacetime
Technical documentationdocs.atoti.iowww.postgresql.fastware.com/­product-manualsgeode.apache.org/­docsdocs.kinetica.com
DeveloperActiveViamPostgreSQL 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.KineticaMireo
Initial release200220122020
Current releaseFujitsu Enterprise Postgres 14, January 20221.1, February 20177.1, August 2021
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaC, C++C++
Server operating systemsLinux
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
Data schemeyesschema-freeyesyes
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 indexesyesnoyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-like query language (OQL)SQL-like DML and DDL statementsA subset of ANSI SQL is implemented
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
C#
C++
Python
Server-side scripts infoStored proceduresPythonuser defined functionsuser defined functionsuser defined functionsno
Triggersyesyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningpartitioning by range, list and by hashShardingShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationSource-replica replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 dataACIDyes, on a single nodenono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definableAccess rights for users and roles on table levelyes

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More resources
atotiFujitsu Enterprise PostgresGeodeKineticaSpaceTime
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