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DBMS > 4D vs. Apache Pinot vs. Atos Standard Common Repository vs. Ignite vs. Teradata Aster

System Properties Comparison 4D vs. Apache Pinot vs. Atos Standard Common Repository vs. Ignite vs. Teradata Aster

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Pinot  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonIgnite  Xexclude from comparisonTeradata Aster  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitewww.4d.compinot.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryignite.apache.org
Technical documentationdeveloper.4d.comdocs.pinot.apache.orgapacheignite.readme.io/­docs
Developer4D, IncApache Software Foundation and contributorsAtos Convergence CreatorsApache Software FoundationTeradata
Initial release19842015201620152005
Current releasev20, April 20231.0.0, September 20231703Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++, Java, .Net
Server operating systemsOS X
Windows
All OS with a Java JDK11 or higherLinuxLinux
OS X
Solaris
Windows
Linux
Data schemeyesyesSchema and schema-less with LDAP viewsyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.yesyesyesyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query languagenoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBCLDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages4D proprietary IDE
PHP
Go
Java
Python
All languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnoyes (compute grid and cache interceptors can be used instead)R packages
Triggersyesyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes (replicated cache)yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes infoSQL Map-Reduce Framework
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 configuration
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID
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.noyesyesno
User concepts infoAccess controlUsers and groupsLDAP bind authenticationSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionApache PinotAtos Standard Common RepositoryIgniteTeradata Aster
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