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DBMS > Google Cloud Bigtable vs. JanusGraph vs. Kyligence Enterprise vs. Microsoft Azure SQL Database

System Properties Comparison Google Cloud Bigtable vs. JanusGraph vs. Kyligence Enterprise vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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 Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A distributed analytics engine for big data, built on top of Apache KylinDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelKey-value store
Wide column store
Graph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial 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
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score0.44
Rank#259  Overall
#118  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Websitecloud.google.com/­bigtablejanusgraph.orgkyligence.io/­kyligence-enterpriseazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationcloud.google.com/­bigtable/­docsdocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperGoogleLinux Foundation; originally developed as Titan by AureliusKyligence, Inc.Microsoft
Initial release2015201720162010
Current release1.0.0, October 2023V12
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemshostedLinux
OS X
Unix
Windows
Linuxhosted
Data schemeschema-freeyesyesyes
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.nononoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesTransact SQL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyesyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics engineyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)User authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableJanusGraph infosuccessor of TitanKyligence EnterpriseMicrosoft Azure SQL Database infoformerly SQL Azure
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