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DBMS > Google Cloud Bigtable vs. H2GIS vs. PouchDB vs. RDFox vs. TinkerGraph

System Properties Comparison Google Cloud Bigtable vs. H2GIS vs. PouchDB vs. RDFox vs. TinkerGraph

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonH2GIS  Xexclude from comparisonPouchDB  Xexclude from comparisonRDFox  Xexclude from comparisonTinkerGraph  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.Spatial extension of H2JavaScript DBMS with an API inspired by CouchDBHigh performance knowledge graph and semantic reasoning engineA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Wide column store
Spatial DBMSDocument storeGraph DBMS
RDF store
Graph DBMS
Secondary database modelsRelational DBMSRelational 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
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitecloud.google.com/­bigtablewww.h2gis.orgpouchdb.comwww.oxfordsemantic.techtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationcloud.google.com/­bigtable/­docswww.h2gis.org/­docs/­homepouchdb.com/­guidesdocs.oxfordsemantic.tech
DeveloperGoogleCNRSApache Software FoundationOxford Semantic Technologies
Initial release20152013201220172009
Current release7.1.1, June 20196.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++Java
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Data schemeschema-freeyesschema-freeyes infoRDF schemasschema-free
Typing infopredefined data types such as float or datenoyesnoyesyes
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 infovia viewsno
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
SPARQL 1.1
TinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaJavaScriptC
Java
Groovy
Java
Server-side scripts infoStored proceduresnoyes infobased on H2View functions in JavaScriptno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infobased on H2Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
replication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsnone
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)no
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on H2noRoles, resources, and access typesno

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More resources
Google Cloud BigtableH2GISPouchDBRDFoxTinkerGraph
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