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DBMS > 4D vs. Apache Druid vs. Apache Kylin vs. Atos Standard Common Repository vs. Microsoft Azure Table Storage

System Properties Comparison 4D vs. Apache Druid vs. Apache Kylin vs. Atos Standard Common Repository vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
This system has been discontinued and 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 distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSDocument store
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitewww.4d.comdruid.apache.orgkylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designkylin.apache.org/­docs
Developer4D, IncApache Software Foundation and contributorsApache Software Foundation, originally contributed from eBay IncAtos Convergence CreatorsMicrosoft
Initial release19842012201520162012
Current releasev20, April 202329.0.1, April 20243.1.0, July 20201703
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsOS X
Windows
Linux
OS X
Unix
LinuxLinuxhosted
Data schemeyesyes infoschema-less columns are supportedyesSchema and schema-less with LDAP viewsschema-free
Typing infopredefined data types such as float or dateyesyesyesoptionalyes
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.yesnonoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingANSI SQL for queries (using Apache Calcite)nono
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
LDAPRESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindings.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnonono
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedSharding infocell divisionSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsoptimistic locking
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.nononoyesno
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationAccess rights based on private key authentication or shared access signatures

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More resources
4D infoformer name: 4th DimensionApache DruidApache KylinAtos Standard Common RepositoryMicrosoft Azure Table Storage
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