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

System Properties Comparison HEAVY.AI vs. Linter 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 comparisonLinter  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 hardwareRDBMS for high security requirementsBased 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 DBMSRelational DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMSSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.03
Rank#368  Overall
#156  Relational DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
linter.ruwww.postgres-xl.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.heavy.aiwww.postgres-xl.org/­documentationqdrant.tech/­documentation
DeveloperHEAVY.AI, Inc.relex.ruQdrant
Initial release201619902014 infosince 2012, originally named StormDB2021
Current release5.10, January 202210 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC and C++CRust
Server operating systemsLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS
Docker
Linux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumbers, 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 indexesnoyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesyesyes infodistributed, parallel query executionno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.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++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.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 proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLuser defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine 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 2022LinterPostgres-XLQdrant
Recent citations in the news

Dr. Mike Flaxman, VP or Product Management at HEAVY.AI – Interview Series
19 September 2024, Unite.AI

5 Q’s for Mike Flaxman, Vice President of Heavy.AI
15 August 2024, Center for Data Innovation

HEAVY.AI Accelerates Big Data Analytics with Vultr's High-Performance GPU Cloud Infrastructure
11 September 2024, insideBIGDATA

HEAVY.AI Accelerates Big Data Analytics with Vultr’s High-Performance GPU Cloud Infrastructure
11 September 2024, insideBIGDATA

Meta delivers strong earnings, but weak guidance and heavy AI spending prompt investors to bail
24 April 2024, SiliconANGLE News

provided by Google News

Qdrant review: A highly flexible option for vector search
29 July 2024, InfoWorld

Vector database company Qdrant wants RAG to be more cost-effective
2 July 2024, VentureBeat

Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, businesswire.com

Qdrant unveils hybrid vector algorithm for improved RAG
2 July 2024, Blocks & Files

provided by Google News



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