DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Qdrant vs. Quasardb vs. SiteWhere vs. TinkerGraph

System Properties Comparison Qdrant vs. Quasardb vs. SiteWhere vs. TinkerGraph

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameQdrant  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA high-performance vector database with neural network or semantic-based matchingDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series dataA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelVector DBMSTime Series DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.28
Rank#167  Overall
#8  Vector DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitegithub.com/­qdrant/­qdrant
qdrant.tech
quasar.aigithub.com/­sitewhere/­sitewheretinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationqdrant.tech/­documentationdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.html
DeveloperQdrantquasardbSiteWhere
Initial release2021200920102009
Current release3.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 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++JavaJava
Server operating systemsDocker
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freepredefined schemeschema-free
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, Booleanyes infointeger and binaryyesyes
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 indexesyes infoKeywords, numberic ranges, geo, full-textyes infowith tagsnono
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP APIHTTP RESTTinkerPop 3
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Groovy
Java
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationSource-replica replication with selectable replication factorselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyes infoby using LevelDByesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modenoyes
User concepts infoAccess controlKey-based authenticationCryptographically strong user authentication and audit trailUsers with fine-grained authorization conceptno

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
QdrantQuasardbSiteWhereTinkerGraph
Recent citations in the news

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

Qdrant Raises $28M to Advance Massive-Scale AI Applications
23 January 2024, businesswire.com

Qdrant Hybrid Cloud is Now Available for OCI Customers: Managed Vector Search Engine for Data-Sensitive AI ...
16 April 2024, blogs.oracle.com

Qdrant offers managed vector database for hybrid clouds
16 April 2024, InfoWorld

Why Vector Data Services For AI Are A Moveable Feast
17 April 2024, Forbes

provided by Google News

Record quasar is most luminous object in the universe
20 February 2024, EarthSky

Quasar Partners with PTC to Empower IoT Customers with High-Performance Data Solutions
11 September 2023, Datanami

QUASAR yacht (Bilgin, 46.8m, 2016)
3 July 2023, Boat International

Hubble Unexpectedly Finds Double Quasar in Distant Universe
5 April 2023, Science@NASA

Quasar Selected by National Renewable Energy Laboratory to Help with Energy System De-risking and Optimization
6 June 2023, PR Newswire

provided by Google News

SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

11 Best Open source IoT Platforms To Develop Smart Projects
9 March 2023, H2S Media

provided by Google News

Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune | Amazon Web Services
3 June 2024, AWS Blog

Simple Deployment of a Graph Database: JanusGraph | by Edward Elson Kosasih
12 October 2020, Towards Data Science

Why developers like Apache TinkerPop, an open source framework for graph computing | Amazon Web Services
27 September 2021, AWS Blog

InfiniteGraph Gets Support for Common Graph Database Language and More
21 February 2012, SiliconANGLE News

Introducing Gremlin query hints for Amazon Neptune | AWS Database Blog
26 February 2019, AWS Blog

provided by Google News



Share this page

Featured Products

Neo4j logo

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

Milvus logo

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

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

Present your product here