DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AlaSQL vs. Qdrant vs. STSdb

System Properties Comparison AlaSQL vs. Qdrant vs. STSdb

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonQdrant  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionJavaScript DBMS libraryA high-performance vector database with neural network or semantic-based matchingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Relational DBMS
Vector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score1.23
Rank#171  Overall
#6  Vector DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Websitealasql.orggithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­STSSoft/­STSdb4
Technical documentationgithub.com/­AlaSQL/­alasqlqdrant.tech/­documentation
DeveloperAndrey Gershun & Mathias R. WulffQdrantSTS Soft SC
Initial release201420212011
Current release4.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptRustC#
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Windows
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoNumbers, Strings, Geo, Booleanyes infoprimitive types and user defined types (classes)
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.nono
Secondary indexesnoyes infoKeywords, numberic ranges, geo, full-textno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nono
APIs and other access methodsJavaScript APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
.NET Client API
Supported programming languagesJavaScript.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
Java
Server-side scripts infoStored proceduresnono
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneCollection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoKey-based authenticationno

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AlaSQLQdrantSTSdb
Recent citations in the news

Create a Marvel Database with SQL and Javascript, the easy way
2 July 2019, Towards Data Science

Multi faceted data exploration in the browser using Leaflet and amCharts
3 May 2020, Towards Data Science

provided by Google News

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

Qdrant Raises $28M to Advance Massive-Scale AI Applications
26 January 2024, Datanami

Open-source vector database Qdrant raises $28M
23 January 2024, SiliconANGLE News

Qdrant Vector Database Announces Availability on Microsoft Azure to Power Enterprise AI Applications
17 January 2024, Yahoo Finance

Introducing Vecto Database Qdrant Support for OCI on Kubernetes
7 August 2023, blogs.oracle.com

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here