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DBMS > GridDB vs. Postgres-XL vs. SAP SQL Anywhere vs. Teradata

System Properties Comparison GridDB vs. Postgres-XL vs. SAP SQL Anywhere vs. Teradata

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitegriddb.netwww.postgres-xl.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.teradata.com
Technical documentationdocs.griddb.netwww.postgres-xl.org/­documentationhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.teradata.com
DeveloperToshiba CorporationSAP infoformerly SybaseTeradata
Initial release20132014 infosince 2012, originally named StormDB19921984
Current release5.1, August 202210 R1, October 201817, July 2015Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMozilla public licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemsLinuxLinux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
hosted
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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.noyes infoXML type, but no XML query functionalityyesyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yes infodistributed, parallel query executionyesyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
HTTP API
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyes, in C/C++, Java, .Net or Perlyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoDatabase mirroringMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID infoMVCCACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyesyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBPostgres-XLSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTeradata
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GridDBPostgres-XLSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTeradata
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