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DBMS > Ignite vs. LevelDB vs. Microsoft Azure AI Search vs. PouchDB

System Properties Comparison Ignite vs. LevelDB vs. Microsoft Azure AI Search vs. PouchDB

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSearch-as-a-service for web and mobile app developmentJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value store
Relational DBMS
Key-value storeSearch engineDocument store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Score2.34
Rank#112  Overall
#21  Document stores
Websiteignite.apache.orggithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­searchpouchdb.com
Technical documentationapacheignite.readme.io/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdlearn.microsoft.com/­en-us/­azure/­searchpouchdb.com/­guides
DeveloperApache Software FoundationGoogleMicrosoftApache Software Foundation
Initial release2015201120152012
Current releaseApache Ignite 2.61.23, February 2021V17.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++JavaScript
Server operating systemsLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.yesnonono
Secondary indexesyesnoyesyes infovia views
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
Java
JavaScript
Python
JavaScript
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoView functions in JavaScript
Triggersyes (cache interceptors and events)nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneyes infoImplicit feature of the cloud serviceMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnoyes infousing Azure authenticationno

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IgniteLevelDBMicrosoft Azure AI SearchPouchDB
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