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DBMS > Apache Druid vs. Databricks vs. IBM Cloudant vs. Transbase

System Properties Comparison Apache Druid vs. Databricks vs. IBM Cloudant vs. Transbase

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatabricks  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Database as a Service offering based on Apache CouchDBA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMS
Time Series DBMS
Document store
Relational DBMS
Document storeRelational 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
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitedruid.apache.orgwww.databricks.comwww.ibm.com/­products/­cloudantwww.transaction.de/­en/­products/­transbase.html
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.databricks.comcloud.ibm.com/­docs/­Cloudantwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software Foundation and contributorsDatabricksIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Transaction Software GmbH
Initial release2012201320101987
Current release29.0.1, April 2024Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC and C++
Server operating systemsLinux
OS X
Unix
hostedhostedFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingwith Databricks SQLnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Python
R
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesView functions (Map-Reduce) in JavaScriptyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a document possibleyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
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 controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidDatabricksIBM CloudantTransbase
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache DruidDatabricksIBM CloudantTransbase
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