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DBMS > 4D vs. GreptimeDB vs. Teradata Aster vs. TerminusDB

System Properties Comparison 4D vs. GreptimeDB vs. Teradata Aster vs. TerminusDB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonGreptimeDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
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 systemAn open source Time Series DBMS built for increased scalability, high performance and efficiencyPlatform for big data analytics on multistructured data sources and typesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.4d.comgreptime.comterminusdb.com
Technical documentationdeveloper.4d.comdocs.greptime.comterminusdb.github.io/­terminusdb/­#
Developer4D, IncGreptime Inc.TeradataDataChemist Ltd.
Initial release1984202220052018
Current releasev20, April 202311.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustProlog, Rust
Server operating systemsOS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
LinuxLinux
Data schemeyesschema-free, schema definition possibleFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyes infoin Aster File Storeno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yesyesSQL-like query language (WOQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
gRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages4D proprietary IDE
PHP
C++
Erlang
Go
Java
JavaScript
C
C#
C++
Java
Python
R
JavaScript
Python
Server-side scripts infoStored proceduresyesPythonR packagesyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers and groupsSimple rights management via user accountsfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
4D infoformer name: 4th DimensionGreptimeDBTeradata AsterTerminusDB infoformer name was DataChemist
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
4D infoformer name: 4th DimensionGreptimeDBTeradata AsterTerminusDB infoformer name was DataChemist
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