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DBMS > Manticore Search vs. Milvus vs. Qdrant

System Properties Comparison Manticore Search vs. Milvus vs. Qdrant

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMilvus  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.A DBMS designed for efficient storage of vector data and vector similarity searchesA high-performance vector similarity Search Engine and vector Database with neural network or semantic-based matching
Primary database modelSearch engineSearch engineSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#327  Overall
#24  Search engines
Score0.78
Rank#240  Overall
#17  Search engines
Score0.18
Rank#362  Overall
#26  Search engines
Websitemanticoresearch.commilvus.iogithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationmanual.manticoresearch.commilvus.io/­docs/­overview.mdqdrant.tech/­documentation
DeveloperManticore SoftwareQdrant
Initial release201720192021
Current release4.2, December 20212.2, November 2022
License infoCommercial or Open SourceOpen Source infoGPL version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++C++, GoRust
Server operating systemsFreeBSD
Linux
macOS
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Docker
Linux
macOS
Windows
Data schemeFixed schemaschema-free
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanVector, Numeric and 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.Can index from XMLnono
Secondary indexesyes infofull-text index on all search fieldsnoyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like query languagenono
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency, tunable consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnonoKey-based authentication
More information provided by the system vendor
Manticore SearchMilvusQdrant
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosVideo media : video understanding, video deduplication. E-commerce and mobile applications...
» more
Key customersMilvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more
Market metricsAs of Oct 2022, 14k+ GitHub stars 2M+ downloads and installations 1000+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Manticore SearchMilvusQdrant
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