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DBMS > Google Cloud Bigtable vs. Hypertable vs. RDF4J vs. TerminusDB

System Properties Comparison Google Cloud Bigtable vs. Hypertable vs. RDF4J vs. TerminusDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHypertable  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An open source BigTable implementation based on distributed file systems such as HadoopRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value store
Wide column store
Wide column storeRDF storeGraph DBMS
Secondary database modelsDocument store
RDF store
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
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitecloud.google.com/­bigtablerdf4j.orgterminusdb.com
Technical documentationcloud.google.com/­bigtable/­docsrdf4j.org/­documentationterminusdb.github.io/­terminusdb/­#
DeveloperGoogleHypertable Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.DataChemist Ltd.
Initial release2015200920042018
Current release0.9.8.11, March 201611.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaProlog, Rust
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or datenonoyesyes
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.nono
Secondary indexesnorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnononoSQL-like query language (WOQL)
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
C++ API
Thrift
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
Java
PHP
Python
JavaScript
Python
Server-side scripts infoStored proceduresnonoyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor on file system levelnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
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
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonoRole-based access control

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More resources
Google Cloud BigtableHypertableRDF4J infoformerly known as SesameTerminusDB infoformer name was DataChemist
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