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DBMS > Apache Druid vs. Databricks vs. Machbase Neo vs. Rockset

System Properties Comparison Apache Druid vs. Databricks vs. Machbase Neo vs. Rockset

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatabricks  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonRockset  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.TimeSeries DBMS for AIoT and BigDataA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMS
Time Series DBMS
Document store
Relational DBMS
Time Series DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.07
Rank#348  Overall
#34  Time Series DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Websitedruid.apache.orgwww.databricks.commachbase.comrockset.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.databricks.commachbase.com/­dbmsdocs.rockset.com
DeveloperApache Software Foundation and contributorsDatabricksMachbaseRockset
Initial release2012201320132019
Current release30.0.0, June 2024V8.0, August 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infofree test version availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemsLinux
OS X
Unix
hostedLinux
macOS
Windows
hosted
Data schemeyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLSQL for queryingwith Databricks SQLSQL-like query languageRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
HTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Python
R
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infovolatile and lookup table
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemsimple password-based access controlAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Apache DruidDatabricksMachbase Neo infoFormer name was InfinifluxRockset
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache DruidDatabricksMachbase Neo infoFormer name was InfinifluxRockset
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Apache® Druid Wins Best Big Data Product in the 2023 BigDATAwire Readers’ Choice Awards
26 January 2024, businesswire.com

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