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DBMS > Apache Druid vs. Databricks vs. GeoSpock

System Properties Comparison Apache Druid vs. Databricks vs. GeoSpock

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatabricks  Xexclude from comparisonGeoSpock  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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.Spatial and temporal data processing engine for extreme data scale
Primary database modelRelational DBMS
Time Series DBMS
Document store
Relational DBMS
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Websitedruid.apache.orgwww.databricks.comgeospock.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.databricks.com
DeveloperApache Software Foundation and contributorsDatabricksGeoSpock
Initial release20122013
Current release29.0.1, April 20242.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Javascript
Server operating systemsLinux
OS X
Unix
hostedhosted
Data schemeyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes
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.noyesno
Secondary indexesyesyestemporal, categorical
SQL infoSupport of SQLSQL for queryingwith Databricks SQLANSI SQL for query only (using Presto)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
JDBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
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 table
More information provided by the system vendor
Apache DruidDatabricksGeoSpock
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache DruidDatabricksGeoSpock
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