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DBMS > Amazon DocumentDB vs. HEAVY.AI vs. openGemini vs. Qdrant

System Properties Comparison Amazon DocumentDB vs. HEAVY.AI vs. openGemini vs. Qdrant

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonopenGemini  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument storeRelational DBMSTime Series DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­heavyai/­heavydb
www.heavy.ai
www.opengemini.org
github.com/­openGemini
github.com/­qdrant/­qdrant
qdrant.tech
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.heavy.aidocs.opengemini.org/­guideqdrant.tech/­documentation
DeveloperHEAVY.AI, Inc.Huawei and openGemini communityQdrant
Initial release2019201620222021
Current release5.10, January 20221.1, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAGoRust
Server operating systemshostedLinuxLinux
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, StringNumbers, 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 indexesyesnoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoyesSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
Thrift
Vega
HTTP RESTgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC/Thrift
Python
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationyesCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnono
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.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAdministrators and common users accountsKey-based authentication

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More resources
Amazon DocumentDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022openGeminiQdrant
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