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DBMS > Google Cloud Bigtable vs. GridGain vs. OrientDB vs. RDFox

System Properties Comparison Google Cloud Bigtable vs. GridGain vs. OrientDB vs. RDFox

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGridGain  Xexclude from comparisonOrientDB  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.GridGain is an in-memory computing platform, built on Apache IgniteMulti-model DBMS (Document, Graph, Key/Value)High performance knowledge graph and semantic reasoning engine
Primary database modelKey-value store
Wide column store
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Graph DBMS
Key-value store
Graph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Websitecloud.google.com/­bigtablewww.gridgain.comorientdb.orgwww.oxfordsemantic.tech
Technical documentationcloud.google.com/­bigtable/­docswww.gridgain.com/­docs/­index.htmlwww.orientdb.com/­docs/­last/­index.htmldocs.oxfordsemantic.tech
DeveloperGoogleGridGain Systems, Inc.OrientDB LTD; CallidusCloud; SAPOxford Semantic Technologies
Initial release2015200720102017
Current releaseGridGain 8.5.13.2.29, March 20246.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercial, open sourceOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLJavaC++
Server operating systemshostedLinux
OS X
Solaris
Windows
z/OS
All OS with a Java JDK (>= JDK 6)Linux
macOS
Windows
Data schemeschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infoRDF schemas
Typing infopredefined data types such as float or datenoyesyesyes
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query language, no joinsno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)Java, Javascript
Triggersnoyes (cache interceptors and events)Hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes (replicated cache)Multi-source replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)no infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control
Security Hooks for custom implementations
Access rights for users and roles; record level security configurableRoles, resources, and access types

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More resources
Google Cloud BigtableGridGainOrientDBRDFox
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