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DBMS > Google Cloud Bigtable vs. Google Cloud Datastore vs. Graphite vs. PlanetScale vs. RDFox

System Properties Comparison Google Cloud Bigtable vs. Google Cloud Datastore vs. Graphite vs. PlanetScale vs. RDFox

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGraphite  Xexclude from comparisonPlanetScale  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperScalable, distributed, serverless MySQL database platform built on top of VitessHigh performance knowledge graph and semantic reasoning engine
Primary database modelKey-value store
Wide column store
Document storeTime Series DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
Relational 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
Score4.36
Rank#72  Overall
#12  Document stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitecloud.google.com/­bigtablecloud.google.com/­datastoregithub.com/­graphite-project/­graphite-webplanetscale.comwww.oxfordsemantic.tech
Technical documentationcloud.google.com/­bigtable/­docscloud.google.com/­datastore/­docsgraphite.readthedocs.ioplanetscale.com/­docsdocs.oxfordsemantic.tech
DeveloperGoogleGoogleChris DavisPlanetScaleOxford Semantic Technologies
Initial release20152008200620202017
Current release6.0, Septermber 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonGoC++
Server operating systemshostedhostedLinux
Unix
Docker
Linux
macOS
Linux
macOS
Windows
Data schemeschema-freeschema-freeyesyesyes infoRDF schemas
Typing infopredefined data types such as float or datenoyes, details hereNumeric data onlyyesyes
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.nonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like query language (GQL)noyes infowith proprietary extensionsno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
Sockets
ADO.NET
JDBC
MySQL protocol
ODBC
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
Java
Server-side scripts infoStored proceduresnousing Google App Enginenoyes infoproprietary syntax
TriggersnoCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication using PaxosnoneMulti-source replication
Source-replica replication
replication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownono
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 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.noneEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyes infotable locks or row locks depending on storage engine
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)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers with fine-grained authorization concept infono user groups or rolesRoles, resources, and access types

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Google Cloud BigtableGoogle Cloud DatastoreGraphitePlanetScaleRDFox
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