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DBMS > Apache Druid vs. Greenplum vs. InterSystems IRIS vs. LevelDB

System Properties Comparison Apache Druid vs. Greenplum vs. InterSystems IRIS vs. LevelDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreenplum  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonLevelDB  Xexclude from comparison
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 containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
Secondary database modelsDocument store
Spatial DBMS
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
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score2.98
Rank#91  Overall
#17  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Websitedruid.apache.orggreenplum.orgwww.intersystems.com/­products/­intersystems-irisgithub.com/­google/­leveldb
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greenplum.orgdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperApache Software Foundation and contributorsPivotal Software Inc.InterSystemsGoogle
Initial release2012200520182011
Current release30.0.0, June 20247.0.0, September 20232023.3, June 20231.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
Unix
LinuxAIX
Linux
macOS
Ubuntu
Windows
Illumos
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesdepending on used data modelschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingyesyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
Perl
Python
R
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnoyesyesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationSource-replica replicationnone
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
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writes
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-standardyesno
More information provided by the system vendor
Apache DruidGreenplumInterSystems IRISLevelDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Apache DruidGreenplumInterSystems IRISLevelDB
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