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DBMS > Apache Pinot vs. ClickHouse vs. Microsoft Azure Cosmos DB

System Properties Comparison Apache Pinot vs. ClickHouse vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonClickHouse  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Globally distributed, horizontally scalable, multi-model database service
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#263  Overall
#121  Relational DBMS
Score18.71
Rank#30  Overall
#18  Relational DBMS
Score22.13
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitepinot.apache.orgclickhouse.comazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.pinot.apache.orgclickhouse.com/­docslearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software Foundation and contributorsClickhouse Inc.Microsoft
Initial release201520162014
Current release1.0.0, September 2023v24.6.2.17-stable, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open 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 languageJavaC++
Server operating systemsAll OS with a Java JDK11 or higherFreeBSD
Linux
macOS
hosted
Data schemeyesyesschema-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.no
Secondary indexesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL-like query languageClose to ANSI SQL (SQL/JSON + extensions)SQL-like query language
APIs and other access methodsJDBCgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesGo
Java
Python
C# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresyesJavaScript
TriggersnoJavaScript
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningkey based and customSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Access rights can be defined down to the item level

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More resources
Apache PinotClickHouseMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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