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DBMS > Google Cloud Bigtable vs. JanusGraph vs. Sadas Engine vs. SpaceTime vs. TDSQL for MySQL

System Properties Comparison Google Cloud Bigtable vs. JanusGraph vs. Sadas Engine vs. SpaceTime vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpaceTime  Xexclude from comparisonTDSQL for MySQL  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 2017SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpaceTime is a spatio-temporal DBMS with a focus on performance.A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelKey-value store
Wide column store
Graph DBMSRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial 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
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitecloud.google.com/­bigtablejanusgraph.orgwww.sadasengine.comwww.mireo.com/­spacetimewww.tencentcloud.com/­products/­dcdb
Technical documentationcloud.google.com/­bigtable/­docsdocs.janusgraph.orgwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperGoogleLinux Foundation; originally developed as Titan by AureliusSADAS s.r.l.MireoTencent
Initial release20152017200620202013
Current release0.6.3, February 20238.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree trial version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemshostedLinux
OS X
Unix
Windows
AIX
Linux
Windows
Linuxhosted
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonononono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnonoyesA subset of ANSI SQL is implementedyes
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
Proprietary protocol
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C#
C++
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnonoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioningFixed-grid hypercubesAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyesnoneReal-time block device replication (DRBD)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics enginenonono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'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 ServerAccess rights for users, groups and roles according to SQL-standardyesUsers with fine-grained authorization concept

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More resources
Google Cloud BigtableJanusGraph infosuccessor of TitanSadas EngineSpaceTimeTDSQL for MySQL
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