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DBMS > HEAVY.AI vs. KeyDB vs. Postgres-XL vs. Qdrant

System Properties Comparison HEAVY.AI vs. KeyDB vs. Postgres-XL vs. Qdrant

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKeyDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSKey-value storeRelational DBMSVector DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­Snapchat/­KeyDB
keydb.dev
www.postgres-xl.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.heavy.aidocs.keydb.devwww.postgres-xl.org/­documentationqdrant.tech/­documentation
DeveloperHEAVY.AI, Inc.EQ Alpha Technology Ltd.Qdrant
Initial release201620192014 infosince 2012, originally named StormDB2021
Current release5.10, January 202210 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoBSD-3Open Source infoMozilla public licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC++CRust
Server operating systemsLinuxLinuxLinux
macOS
Docker
Linux
macOS
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesNumbers, 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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesnoyes infoby using the Redis Search moduleyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesnoyes infodistributed, parallel query executionno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoLuauser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Collection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access control and ACLfine grained access rights according to SQL-standardKey-based authentication

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KeyDBPostgres-XLQdrant
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19 March 2024, Datanami

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HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
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Qdrant offers managed vector database for hybrid clouds
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