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DBMS > Apache Druid vs. Greenplum vs. Microsoft Azure Cosmos DB

System Properties Comparison Apache Druid vs. Greenplum vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  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.Globally distributed, horizontally scalable, multi-model database service
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#99  Overall
#51  Relational DBMS
#7  Time Series DBMS
Score9.20
Rank#48  Overall
#30  Relational DBMS
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitedruid.apache.orggreenplum.orgazure.microsoft.com/­services/­cosmos-db
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greenplum.orglearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software Foundation and contributorsPivotal Software Inc.Microsoft
Initial release201220052014
Current release29.0.0, February 20247.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
OS X
Unix
Linuxhosted
Data schemeyes infoschema-less columns are supportedyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON types
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 4.2
Secondary indexesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL for queryingyesSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
Perl
Python
R
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnoyesJavaScript
TriggersnoyesJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDMulti-item ACID transactions with snapshot isolation within a partition
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.nono
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 can be defined down to the item level

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More resources
Apache DruidGreenplumMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Recent citations in the news

Part 1: Apache Druid for real-time OLAP | by Subhashini | Mar, 2024
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Public preview: Change partition key of a container in Azure Cosmos DB (NoSQL API) | Azure updates
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13 March 2024, azure.microsoft.com

Azure Cosmos DB Conf 2023
12 January 2024, Microsoft

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5 October 2023, azure.microsoft.com

Azure Synapse Link for Cosmos DB: New Analytics Capabilities
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