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DBMS > Databend vs. HEAVY.AI vs. Lovefield vs. Qdrant

System Properties Comparison Databend vs. HEAVY.AI vs. Lovefield vs. Qdrant

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScriptA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSRelational DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
github.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.databend.comdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdqdrant.tech/­documentation
DeveloperDatabend LabsHEAVY.AI, Inc.GoogleQdrant
Initial release2021201620142021
Current release1.0.59, April 20235.10, January 20222.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open 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 languageRustC++ and CUDAJavaScriptRust
Server operating systemshosted
Linux
macOS
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariDocker
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.nononono
Secondary indexesnonoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesyesSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
All languages supporting JDBC/ODBC/Thrift
Python
JavaScript.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnonono
TriggersnonoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnoneCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardnoKey-based authentication

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More resources
DatabendHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldQdrant
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