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DBMS > Google Cloud Datastore vs. Greenplum vs. IBM Db2 vs. SiriDB vs. Transwarp Hippo

System Properties Comparison Google Cloud Datastore vs. Greenplum vs. IBM Db2 vs. SiriDB vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGreenplum  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonSiriDB  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Common in IBM host environments, 2 different versions for host and Windows/LinuxOpen Source Time Series DBMSCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument storeRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBTime Series DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score0.05
Rank#386  Overall
#15  Vector DBMS
Websitecloud.google.com/­datastoregreenplum.orgwww.ibm.com/­products/­db2siridb.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationcloud.google.com/­datastore/­docsdocs.greenplum.orgwww.ibm.com/­docs/­en/­db2docs.siridb.com
DeveloperGooglePivotal Software Inc.IBMCesbit
Initial release200820051983 infohost version20172023
Current release7.0.0, September 202312.1, October 20161.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree version is availableOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CC++
Server operating systemshostedLinuxAIX
HP-UX
Linux
Solaris
Windows
z/OS
LinuxLinux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyes infoNumeric dataVector, Numeric and String
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 infosince Version 4.2nono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query language (GQL)yesyesnono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
HTTP APIRESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
Perl
Python
R
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Python
Server-side scripts infoStored proceduresusing Google App Engineyesyesnono
TriggersCallbacks using the Google Apps Engineyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoonly with Windows/Unix/Linux VersionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationyes infowith separate tools (MQ, InfoSphere)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnonono
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 Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDnono
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.nonoyesyes
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-standardfine grained access rights according to SQL-standardsimple rights management via user accountsRole based access control and fine grained access rights

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More resources
Google Cloud DatastoreGreenplumIBM Db2 infoformerly named DB2 or IBM Database 2SiriDBTranswarp Hippo
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