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DBMS > AgensGraph vs. BigObject vs. Google Cloud Spanner vs. MonetDB vs. Yaacomo

System Properties Comparison AgensGraph vs. BigObject vs. Google Cloud Spanner vs. MonetDB vs. Yaacomo

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBigObject  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMonetDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAnalytic DBMS for real-time computations and queriesA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A relational database management system that stores data in columnsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitebitnine.net/­agensgraphbigobject.iocloud.google.com/­spannerwww.monetdb.orgyaacomo.com
Technical documentationbitnine.net/­documentationdocs.bigobject.iocloud.google.com/­spanner/­docswww.monetdb.org/­Documentation
DeveloperBitnine Global Inc.BigObject, Inc.GoogleMonetDB BVQ2WEB GmbH
Initial release20162015201720042009
Current release2.1, December 2018Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree community edition availablecommercialOpen Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC
Server operating systemsLinux
OS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedFreeBSD
Linux
OS X
Solaris
Windows
Android
Linux
Windows
Data schemedepending on used data modelyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infoQuery statements complying to ANSI 2011yes infoSQL 2003 with some extensionsyes
APIs and other access methodsCypher Query Language
JDBC
fluentd
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesLuanoyes, in SQL, C, R
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneShardingSharding via remote tableshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication with 3 replicas for regional instances.none infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoautomatically between fact table and dimension tablesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AgensGraphBigObjectGoogle Cloud SpannerMonetDBYaacomo
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