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DBMS > Apache Druid vs. Apache IoTDB vs. Atos Standard Common Repository vs. Interbase

System Properties Comparison Apache Druid vs. Apache IoTDB vs. Atos Standard Common Repository vs. Interbase

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache IoTDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonInterbase  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksLight-weight proven RDBMS infooriginally from Borland
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSDocument store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Websitedruid.apache.orgiotdb.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.embarcadero.com/­products/­interbase
Technical documentationdruid.apache.org/­docs/­latest/­designiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.embarcadero.com/­products/­interbase
DeveloperApache Software Foundation and contributorsApache Software FoundationAtos Convergence CreatorsEmbarcadero
Initial release2012201820161984
Current release29.0.1, April 20241.1.0, April 20231703InterBase 2020, December 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC
Server operating systemsLinux
OS X
Unix
All OS with a Java VM (>= 1.8)LinuxAndroid
iOS
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesSchema and schema-less with LDAP viewsyes
Typing infopredefined data types such as float or dateyesyesoptionalyes
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.nonoyesno infoexport as XML data possible
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query languagenoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Native API
LDAPADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
All languages with LDAP bindings.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresnoyesnoyes infoInterbase procedure and trigger language
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infocell divisionnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny control
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.noyesyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesLDAP bind authenticationfine grained access rights according to SQL-standard

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More resources
Apache DruidApache IoTDBAtos Standard Common RepositoryInterbase
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