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DBMS > HEAVY.AI vs. IBM Db2 Event Store vs. Kinetica vs. PouchDB vs. Qdrant

System Properties Comparison HEAVY.AI vs. IBM Db2 Event Store vs. Kinetica vs. PouchDB vs. Qdrant

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKinetica  Xexclude from comparisonPouchDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed Event Store optimized for Internet of Things use casesFully vectorized database across both GPUs and CPUsJavaScript DBMS with an API inspired by CouchDBA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSDocument storeVector DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score1.28
Rank#167  Overall
#7  Vector DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­db2-event-storewww.kinetica.compouchdb.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.heavy.aiwww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.compouchdb.com/­guidesqdrant.tech/­documentation
DeveloperHEAVY.AI, Inc.IBMKineticaApache Software FoundationQdrant
Initial release20162017201220122021
Current release5.10, January 20222.07.1, August 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial infofree developer edition availablecommercialOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC and C++C, C++JavaScriptRust
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionLinuxserver-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoNumbers, Strings, Geo, Boolean
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 indexesnonoyesyes infovia viewsyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
JavaScript (Node.js)
Python
JavaScript.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyesuser defined functionsView functions in JavaScript
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationActive-active shard replicationSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Collection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes 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.yesyesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnoKey-based authentication

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 Event StoreKineticaPouchDBQdrant
DB-Engines blog posts

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