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DBMS > BigObject vs. Google Cloud Spanner vs. H2 vs. Microsoft Azure SQL Database vs. TerminusDB

System Properties Comparison BigObject vs. Google Cloud Spanner vs. H2 vs. Microsoft Azure SQL Database vs. TerminusDB

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionAnalytic 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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Database as a Service offering with high compatibility to Microsoft SQL ServerScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitebigobject.iocloud.google.com/­spannerwww.h2database.comazure.microsoft.com/­en-us/­products/­azure-sql/­databaseterminusdb.com
Technical documentationdocs.bigobject.iocloud.google.com/­spanner/­docswww.h2database.com/­html/­main.htmldocs.microsoft.com/­en-us/­azure/­azure-sqlterminusdb.github.io/­terminusdb/­#
DeveloperBigObject, Inc.GoogleThomas MuellerMicrosoftDataChemist Ltd.
Initial release20152017200520102018
Current release2.2.220, July 2023V1211.0.0, January 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Prolog, Rust
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAll OS with a Java VMhostedLinux
Data schemeyesyesyesyesyes
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.nononoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoQuery statements complying to ANSI 2011yesyesSQL-like query language (WOQL)
APIs and other access methodsfluentd
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
ODBC
ADO.NET
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Java.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresLuanoJava Stored Procedures and User-Defined FunctionsTransact SQLyes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.With clustering: 2 database servers on different computers operate on identical copies of a databaseyes, with always 3 replicas availableJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoAccess 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-standardRole-based access control

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More resources
BigObjectGoogle Cloud SpannerH2Microsoft Azure SQL Database infoformerly SQL AzureTerminusDB infoformer name was DataChemist
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