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DBMS > Google Cloud Bigtable vs. gStore vs. Kinetica vs. OrientDB

System Properties Comparison Google Cloud Bigtable vs. gStore vs. Kinetica vs. OrientDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisongStore  Xexclude from comparisonKinetica  Xexclude from comparisonOrientDB  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.A native Graph DBMS to store and maintain very large RDF datasets.Fully vectorized database across both GPUs and CPUsMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelKey-value store
Wide column store
Graph DBMS
RDF store
Relational DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitecloud.google.com/­bigtableen.gstore.cnwww.kinetica.comorientdb.org
Technical documentationcloud.google.com/­bigtable/­docsen.gstore.cn/­#/­enDocsdocs.kinetica.comwww.orientdb.com/­docs/­last/­index.html
DeveloperGoogleKineticaOrientDB LTD; CallidusCloud; SAP
Initial release2015201620122010
Current release1.2, November 20237.1, August 20213.2.29, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++Java
Server operating systemshostedLinuxLinuxAll OS with a Java JDK (>= JDK 6)
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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.nononono
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language, no joins
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
SPARQL 1.1
JDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
PHP
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesuser defined functionsJava, Javascript
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeHooks
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 zonesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono 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 Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsyesnoACID
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.nonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissions, Role-Based Access Control (RBAC) supportedAccess rights for users and roles on table levelAccess rights for users and roles; record level security configurable

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More resources
Google Cloud BigtablegStoreKineticaOrientDB
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