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DBMS > Google Cloud Datastore vs. Graph Engine vs. GridGain vs. OpenMLDB vs. Oracle Rdb

System Properties Comparison Google Cloud Datastore vs. Graph Engine vs. GridGain vs. OpenMLDB vs. Oracle Rdb

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridGain  Xexclude from comparisonOpenMLDB  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineGridGain is an in-memory computing platform, built on Apache IgniteAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelDocument storeGraph DBMS
Key-value store
Key-value store
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitecloud.google.com/­datastorewww.graphengine.iowww.gridgain.comopenmldb.aiwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationcloud.google.com/­datastore/­docswww.graphengine.io/­docs/­manualwww.gridgain.com/­docs/­index.htmlopenmldb.ai/­docs/­zh/­mainwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperGoogleMicrosoftGridGain Systems, Inc.4 Paradigm Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20082010200720201984
Current releaseGridGain 8.5.12024-2 February 20247.4.1.1, 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialOpen Sourcecommercial
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 language.NET and CJava, C++, .NetC++, Java, Scala
Server operating systemshosted.NETLinux
OS X
Solaris
Windows
LinuxHP Open VMS
Data schemeschema-freeyesyesFixed schemaFlexible Schema (defined schema, partial schema, schema free)
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.nonoyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
SQLAlchemy
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresusing Google App Engineyesyes (compute grid and cache interceptors can be used instead)no
TriggersCallbacks using the Google Apps Enginenoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes (compute grid and hadoop accelerator)no
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 pathsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDnoyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreGraph Engine infoformer name: TrinityGridGainOpenMLDBOracle Rdb
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