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DBMS > Apache Druid vs. Databricks vs. FileMaker vs. Greenplum

System Properties Comparison Apache Druid vs. Databricks vs. FileMaker vs. Greenplum

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatabricks  Xexclude from comparisonFileMaker  Xexclude from comparisonGreenplum  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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.
Primary database modelRelational DBMS
Time Series DBMS
Document store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Websitedruid.apache.orgwww.databricks.comwww.claris.com/­filemakergreenplum.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.databricks.comwww.claris.com/­resources/­documentationdocs.greenplum.org
DeveloperApache Software Foundation and contributorsDatabricksClaris infoa subsidiary of ApplePivotal Software Inc.
Initial release2012201319832005
Current release29.0.1, April 202419.4.1, November 20217.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
OS X
Unix
hostediOS infoclient part only
Linux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesyes infoA http query request can return the data in XML formatyes infosince Version 4.2
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingwith Databricks SQLyes infovia pluginsyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Python
R
Scala
PHPC
Java
Perl
Python
R
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesSource-replica replication, warm standby infosince Version 14Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidDatabricksFileMakerGreenplum
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache DruidDatabricksFileMakerGreenplum
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