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DBMS > Atos Standard Common Repository vs. GigaSpaces vs. Postgres-XL vs. SpatiaLite vs. TDengine

System Properties Comparison Atos Standard Common Repository vs. GigaSpaces vs. Postgres-XL vs. SpatiaLite vs. TDengine

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTDengine  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpatial extension of SQLiteTime Series DBMS and big data platform
Primary database modelDocument store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSSpatial DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gigaspaces.comwww.postgres-xl.orgwww.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.postgres-xl.org/­documentationwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmldocs.tdengine.com
DeveloperAtos Convergence CreatorsGigaspaces TechnologiesAlessandro FurieriTDEngine, previously Taos Data
Initial release201620002014 infosince 2012, originally named StormDB20082019
Current release170315.5, September 202010 R1, October 20185.0.0, August 20203.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoMozilla public licenseOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetCC++C
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linux
macOS
server-lessLinux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesno infoXML can be used for describing objects metadatayes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyes infodistributed, parallel query executionyesStandard SQL with extensions for time-series applications
APIs and other access methodsLDAPGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C++
Java
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesuser defined functionsnono
Triggersyesyes, event driven architectureyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationRole-based access controlfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
Atos Standard Common RepositoryGigaSpacesPostgres-XLSpatiaLiteTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Atos Standard Common RepositoryGigaSpacesPostgres-XLSpatiaLiteTDengine
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