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DBMS > 4D vs. Altibase vs. Atos Standard Common Repository vs. Drizzle vs. Google Cloud Datastore

System Properties Comparison 4D vs. Altibase vs. Atos Standard Common Repository vs. Drizzle vs. Google Cloud Datastore

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAltibase  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemAn enterprise grade, high-performance RDBMSHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Websitewww.4d.comaltibase.comatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­datastore
Technical documentationdeveloper.4d.comgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualscloud.google.com/­datastore/­docs
Developer4D, IncAltibaseAtos Convergence CreatorsDrizzle project, originally started by Brian AkerGoogle
Initial release19841999201620082008
Current releasev20, April 2023v7.3, 2023, August 202317037.2.4, September 2012
License infoCommercial or Open Sourcecommercialcommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsOS X
Windows
AIX
HP-UX
Linux
LinuxFreeBSD
Linux
OS X
hosted
Data schemeyesyesSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyesyes, details here
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.yesnoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92ANSI SQL-92noyes infowith proprietary extensionsSQL-like query language (GQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
Proprietary protocol
LDAPJDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
C
C++
Java
All languages with LDAP bindingsC
C++
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesstored procedures and stored functionsnonousing Google App Engine
Triggersyesyesyesno infohooks for callbacks inside the server can be used.Callbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesMulti-source replication
Source-replica replication
Multi-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate 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 integrityyesyesnoyesyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
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.noyesyesno
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
4D infoformer name: 4th DimensionAltibaseAtos Standard Common RepositoryDrizzleGoogle Cloud Datastore
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