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DBMS > Apache Drill vs. Greenplum vs. GridGain vs. InterSystems IRIS

System Properties Comparison Apache Drill vs. Greenplum vs. GridGain vs. InterSystems IRIS

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonGreenplum  Xexclude from comparisonGridGain  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic 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.GridGain is an in-memory computing platform, built on Apache IgniteA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Websitedrill.apache.orggreenplum.orgwww.gridgain.comwww.intersystems.com/­products/­intersystems-iris
Technical documentationdrill.apache.org/­docsdocs.greenplum.orgwww.gridgain.com/­docs/­index.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperApache Software FoundationPivotal Software Inc.GridGain Systems, Inc.InterSystems
Initial release2012200520072018
Current release1.20.3, January 20237.0.0, September 2023GridGain 8.5.12023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
Data schemeschema-freeyesyesdepending on used data model
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 4.2yesyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++C
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsyesyes (compute grid and cache interceptors can be used instead)yes
Triggersnoyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
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 persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyesyes
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardSecurity Hooks for custom implementationsyes
More information provided by the system vendor
Apache DrillGreenplumGridGainInterSystems IRIS
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Apache DrillGreenplumGridGainInterSystems IRIS
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