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DBMS > 4D vs. Atos Standard Common Repository vs. CockroachDB vs. Google Cloud Datastore vs. SpatiaLite

System Properties Comparison 4D vs. Atos Standard Common Repository vs. CockroachDB vs. Google Cloud Datastore vs. SpatiaLite

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCockroachDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSpatiaLite  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSpatial extension of SQLite
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSDocument storeSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cockroachlabs.comcloud.google.com/­datastorewww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdeveloper.4d.comwww.cockroachlabs.com/­docscloud.google.com/­datastore/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
Developer4D, IncAtos Convergence CreatorsCockroach LabsGoogleAlessandro Furieri
Initial release19842016201520082008
Current releasev20, April 2023170324.1.0, May 20245.0.0, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemsOS X
Windows
LinuxLinux
macOS
Windows
hostedserver-less
Data schemeyesSchema and schema-less with LDAP viewsdynamic schemaschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesyes, details hereyes
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.yesyesnonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noyes, wire compatible with PostgreSQLSQL-like query language (GQL)yes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnonousing Google App Engineno
TriggersyesyesnoCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication using RAFTMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integrityyesnoyesyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnonoyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryCockroachDBGoogle Cloud DatastoreSpatiaLite
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