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DBMS > Qdrant vs. SiteWhere vs. Warp 10 vs. Yaacomo

System Properties Comparison Qdrant vs. SiteWhere vs. Warp 10 vs. Yaacomo

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Editorial information provided by DB-Engines
NameQdrant  Xexclude from comparisonSiteWhere  Xexclude from comparisonWarp 10  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA high-performance vector database with neural network or semantic-based matchingM2M integration platform for persisting/querying time series dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelVector DBMSTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websitegithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­sitewhere/­sitewherewww.warp10.ioyaacomo.com
Technical documentationqdrant.tech/­documentationsitewhere1.sitewhere.io/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperQdrantSiteWhereSenXQ2WEB GmbH
Initial release2021201020152009
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoApache License 2.0commercial
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 languageRustJavaJava
Server operating systemsDocker
Linux
macOS
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Android
Linux
Windows
Data schemeschema-freepredefined schemeschema-freeyes
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, Booleanyesyesyes
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-textnonoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP RESTHTTP API
Jupyter
WebSocket
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infoWarpScript
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationselectable replication factor infobased on HBaseselectable replication factor infobased on HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.yesnoyesyes
User concepts infoAccess controlKey-based authenticationUsers with fine-grained authorization conceptMandatory use of cryptographic tokens, containing fine-grained authorizationsfine grained access rights according to SQL-standard

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More resources
QdrantSiteWhereWarp 10Yaacomo
Recent citations in the news

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

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

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

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, Business Wire

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

provided by Google News

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