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DBMS > Google Cloud Bigtable vs. RDF4J vs. SingleStore vs. STSdb

System Properties Comparison Google Cloud Bigtable vs. RDF4J vs. SingleStore vs. STSdb

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSTSdb  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.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value store
Wide column store
RDF storeRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector 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
Score0.72
Rank#222  Overall
#9  RDF stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Websitecloud.google.com/­bigtablerdf4j.orgwww.singlestore.comgithub.com/­STSSoft/­STSdb4
Technical documentationcloud.google.com/­bigtable/­docsrdf4j.org/­documentationdocs.singlestore.com
DeveloperGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SingleStore Inc.STS Soft SC
Initial release2015200420132011
Current release8.5, January 20244.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree developer edition availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, GoC#
Server operating systemshostedLinux
OS X
Unix
Windows
Linux info64 bit version requiredWindows
Data schemeschema-freeyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or datenoyesyesyes infoprimitive types and user defined types (classes)
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 indexesnoyesyesno
SQL infoSupport of SQLnonoyes infobut no triggers and foreign keysno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
.NET Client API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Java
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresnoyesyesno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoIsolation support depends on the API usedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noFine grained access control via users, groups and rolesno

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More resources
Google Cloud BigtableRDF4J infoformerly known as SesameSingleStore infoformer name was MemSQLSTSdb
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