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DBMS > Google Cloud Datastore vs. IBM Db2 warehouse vs. PostGIS vs. Teradata vs. Transwarp ArgoDB

System Properties Comparison Google Cloud Datastore vs. IBM Db2 warehouse vs. PostGIS vs. Teradata vs. Transwarp ArgoDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonPostGIS  Xexclude from comparisonTeradata  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCloud-based data warehousing serviceSpatial extension of PostgreSQLA hybrid cloud data analytics software platform (Teradata Vantage)Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelDocument storeRelational DBMSSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websitecloud.google.com/­datastorewww.ibm.com/­products/­db2/­warehousepostgis.netwww.teradata.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationcloud.google.com/­datastore/­docspostgis.net/­documentationdocs.teradata.comdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperGoogleIBMTeradataTranswarp
Initial release2008201420051984
Current release3.4.2, February 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedhostedhosted
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes
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.nono infoImport/export of XML data possibleyesyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like query language (GQL)yesyesyes infoSQL 2016 + extensionsyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
OLE DB
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresusing Google App EnginePL/SQL, SQL PLuser defined functionsyes infoUDFs, stored procedures, table functions in parallel
TriggersCallbacks using the Google Apps Engineyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQLSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyesyes infobased on PostgreSQLMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
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.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes infobased on PostgreSQLfine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreIBM Db2 warehouse infoformerly named IBM dashDBPostGISTeradataTranswarp ArgoDB
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