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DBMS > HEAVY.AI vs. Immudb vs. Kinetica vs. Microsoft Azure AI Search vs. PouchDB

System Properties Comparison HEAVY.AI vs. Immudb vs. Kinetica vs. Microsoft Azure AI Search vs. PouchDB

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonImmudb  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Fully vectorized database across both GPUs and CPUsSearch-as-a-service for web and mobile app developmentJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSKey-value storeRelational DBMSSearch engineDocument store
Secondary database modelsSpatial DBMSRelational DBMSSpatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score2.34
Rank#112  Overall
#21  Document stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­codenotary/­immudb
immudb.io
www.kinetica.comazure.microsoft.com/­en-us/­services/­searchpouchdb.com
Technical documentationdocs.heavy.aidocs.immudb.iodocs.kinetica.comlearn.microsoft.com/­en-us/­azure/­searchpouchdb.com/­guides
DeveloperHEAVY.AI, Inc.CodenotaryKineticaMicrosoftApache Software Foundation
Initial release20162020201220152012
Current release5.10, January 20221.2.3, April 20227.1, August 2021V17.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAGoC, C++JavaScript
Server operating systemsLinuxBSD
Linux
macOS
Solaris
Windows
z/OS
Linuxhostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonononono
Secondary indexesnoyesyesyesyes infovia views
SQL infoSupport of SQLyesSQL-like syntaxSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
Thrift
Vega
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
JavaScript
Server-side scripts infoStored proceduresnonouser defined functionsnoView functions in JavaScript
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingShardingSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyes 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 methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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 infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelyes infousing Azure authenticationno

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022ImmudbKineticaMicrosoft Azure AI SearchPouchDB
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