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DBMS > Apache Druid vs. Greenplum vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Druid vs. Greenplum vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreenplum  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic 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.A multi-model DBMS and application serverElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitedruid.apache.orggreenplum.orgwww.intersystems.com/­products/­cacheazure.microsoft.com/­services/­synapse-analytics
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greenplum.orgdocs.intersystems.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation and contributorsPivotal Software Inc.InterSystemsMicrosoft
Initial release2012200519972016
Current release29.0.1, April 20247.0.0, September 20232018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
Unix
LinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hosted
Data schemeyes infoschema-less columns are supportedyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infosince Version 4.2yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyesyesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
Perl
Python
R
C#
C++
Java
C#
Java
PHP
Server-side scripts infoStored proceduresnoyesyesTransact SQL
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardAccess rights for users, groups and rolesyes

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More resources
Apache DruidGreenplumInterSystems CachéMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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