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DBMS > Apache Pinot vs. Microsoft Azure Table Storage vs. PouchDB vs. RavenDB

System Properties Comparison Apache Pinot vs. Microsoft Azure Table Storage vs. PouchDB vs. RavenDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPouchDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA Wide Column Store for rapid development using massive semi-structured datasetsJavaScript DBMS with an API inspired by CouchDBOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSWide column storeDocument storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score2.18
Rank#114  Overall
#21  Document stores
Score2.68
Rank#102  Overall
#19  Document stores
Websitepinot.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablespouchdb.comravendb.net
Technical documentationdocs.pinot.apache.orgpouchdb.com/­guidesravendb.net/­docs
DeveloperApache Software Foundation and contributorsMicrosoftApache Software FoundationHibernating Rhinos
Initial release2015201220122010
Current release1.0.0, September 20237.1.1, June 20195.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC#
Server operating systemsAll OS with a Java JDK11 or higherhostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.nono
Secondary indexesnoyes infovia viewsyes
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language (RQL)
APIs and other access methodsJDBCRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGo
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoView functions in JavaScriptyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesnoAuthorization levels configured per client per database

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More resources
Apache PinotMicrosoft Azure Table StoragePouchDBRavenDB
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
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