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DBMS > IBM Db2 Event Store vs. PouchDB vs. Quasardb vs. YottaDB

System Properties Comparison IBM Db2 Event Store vs. PouchDB vs. Quasardb vs. YottaDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries databaseA fast and solid embedded Key-value store
Primary database modelEvent Store
Time Series DBMS
Document storeTime Series DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.ibm.com/­products/­db2-event-storepouchdb.comquasar.aiyottadb.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storepouchdb.com/­guidesdoc.quasar.ai/­masteryottadb.com/­resources/­documentation
DeveloperIBMApache Software FoundationquasardbYottaDB, LLC
Initial release2017201220092001
Current release2.07.1.1, June 20193.14.1, January 2024
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaScriptC++C
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Docker
Linux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes infointeger and binaryno
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.nononono
Secondary indexesnoyes infovia viewsyes infowith tagsno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoSQL-like query languageby using the Octo plugin
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesView functions in JavaScriptno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trailUsers and groups based on OS-security mechanisms

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More resources
IBM Db2 Event StorePouchDBQuasardbYottaDB
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