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DBMS > 4D vs. Atos Standard Common Repository vs. QuestDB vs. Splunk vs. Teradata Aster

System Properties Comparison 4D vs. Atos Standard Common Repository vs. QuestDB vs. Splunk vs. Teradata Aster

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonQuestDB  Xexclude from comparisonSplunk  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 systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA high performance open source SQL database for time series dataAnalytics Platform for Big DataPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSSearch engineRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Score88.71
Rank#14  Overall
#2  Search engines
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositoryquestdb.iowww.splunk.com
Technical documentationdeveloper.4d.comquestdb.io/­docsdocs.splunk.com/­Documentation/­Splunk
Developer4D, IncAtos Convergence CreatorsQuestDB Technology IncSplunk Inc.Teradata
Initial release19842016201420032005
Current releasev20, April 20231703
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoLimited free edition and free developer edition availablecommercial
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 languageJavaJava (Zero-GC), C++, Rust
Server operating systemsOS X
Windows
LinuxLinux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesSchema and schema-less with LDAP viewsyes infoschema-free via InfluxDB Line ProtocolyesFlexible 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 dateyesoptionalyesyesyes
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.yesyesnoyesyes infoin Aster File Store
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noSQL with time-series extensionsno infoSplunk Search Processing Language for search commandsyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP RESTADO.NET
JDBC
ODBC
OLE DB
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnonoyesR packages
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionhorizontal partitioning (by timestamps)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replication with eventual consistencyMulti-source replicationyes 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 methodsnonoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID for single-table writesno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
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.noyesyes infothrough memory mapped filesnono
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryQuestDBSplunkTeradata Aster
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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4D infoformer name: 4th DimensionAtos Standard Common RepositoryQuestDBSplunkTeradata Aster
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