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DBMS > 4D vs. BigObject vs. Google Cloud Spanner vs. Microsoft Azure Cosmos DB

System Properties Comparison 4D vs. BigObject vs. Google Cloud Spanner vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonBigObject  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAnalytic 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.Globally distributed, horizontally scalable, multi-model database service
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitewww.4d.combigobject.iocloud.google.com/­spannerazure.microsoft.com/­services/­cosmos-db
Technical documentationdeveloper.4d.comdocs.bigobject.iocloud.google.com/­spanner/­docslearn.microsoft.com/­azure/­cosmos-db
Developer4D, IncBigObject, Inc.GoogleMicrosoft
Initial release1984201520172014
Current releasev20, April 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemsOS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedhosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON types
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.yesnono
Secondary indexesyesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsyes infoQuery statements complying to ANSI 2011SQL-like query language
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
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
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languages4D proprietary IDE
PHP
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresyesLuanoJavaScript
TriggersyesnonoJavaScript
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication with 3 replicas for regional instances.yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session 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 integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoStrict serializable isolationMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers and groupsnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item level

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More resources
4D infoformer name: 4th DimensionBigObjectGoogle Cloud SpannerMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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