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DBMS > 4D vs. Apache Druid vs. TDSQL for MySQL vs. Teradata Aster

System Properties Comparison 4D vs. Apache Druid vs. TDSQL for MySQL vs. Teradata Aster

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTeradata Aster  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 systemOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#110  Overall
#54  Relational DBMS
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.96
Rank#192  Overall
#88  Relational DBMS
Websitewww.4d.comdruid.apache.orgwww.tencentcloud.com/­products/­dcdb
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designwww.tencentcloud.com/­document/­product/­1042
Developer4D, IncApache Software Foundation and contributorsTencentTeradata
Initial release1984201220132005
Current releasev20, April 202330.0.0, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialcommercial
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 languageJava
Server operating systemsOS X
Windows
Linux
OS X
Unix
hostedLinux
Data schemeyesyes infoschema-less columns are supportedyesFlexible 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 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.yesnonoyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingyesyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnoyesR packages
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
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 methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.nononono
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionApache DruidTDSQL for MySQLTeradata Aster
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