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DBMS > 4D vs. Atos Standard Common Repository vs. Google BigQuery vs. Ignite

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Google BigQuery vs. Ignite

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonIgnite  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 networksLarge scale data warehouse service with append-only tablesApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#102  Overall
#52  Relational DBMS
Score43.79
Rank#25  Overall
#16  Relational DBMS
Score5.41
Rank#69  Overall
#9  Key-value stores
#38  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigqueryignite.apache.org
Technical documentationlivedoc.4d.comcloud.google.com/­bigquery/­docsapacheignite.readme.io/­docs
Developer4D, IncAtos Convergence CreatorsGoogleApache Software Foundation
Initial release1984201620102015
Current releasev18 R5, January 20211703Apache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, .Net
Server operating systemsOS X
Windows
LinuxhostedLinux
OS X
Solaris
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.yesyesnoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92noyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPRESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindings.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnouser defined functions infoin JavaScriptyes (compute grid and cache interceptors can be used instead)
Triggersyesyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesnoyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Security Hooks for custom implementations

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryGoogle BigQueryIgnite
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