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DBMS > Milvus vs. ScyllaDB vs. searchxml

System Properties Comparison Milvus vs. ScyllaDB vs. searchxml

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonScyllaDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesCassandra and DynamoDB compatible wide column storeDBMS for structured and unstructured content wrapped with an application server
Primary database modelVector DBMSWide column storeNative XML DBMS
Search engine
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.49
Rank#175  Overall
#5  Vector DBMS
Score6.56
Rank#63  Overall
#5  Wide column stores
Score0.00
Rank#400  Overall
#7  Native XML DBMS
#25  Search engines
Websitemilvus.iowww.scylladb.comwww.searchxml.net/­category/­products
Technical documentationmilvus.io/­docs/­overview.mddocs.scylladb.comwww.searchxml.net/­support/­handouts
DeveloperScyllaDBinformationpartners gmbh
Initial release201920152015
Current release2.2, November 2022ScyllaDB Open Source 5.2.11, November 20231.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license availablecommercial
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 MilvusScylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++, GoC++C++
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxWindows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyes
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.nonoyes
Secondary indexesnoyes infocluster global secondary indicesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL)no
APIs and other access methodsRESTful HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoyes, Luayes infoon the application server
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infosychronisation to multiple collections
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 infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoin-memory tablesno
User concepts infoAccess controlRole based access control and fine grained access rightsAccess rights for users can be defined per objectDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
MilvusScyllaDBsearchxml
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
ScyllaDB is the database for data-intensive apps that require high performance and...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosVideo media : video understanding, video deduplication. E-commerce and mobile applications...
» more
ScyllaDB is ideal for applications that require high throughput and low latency at...
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Key customersMilvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsAs of February 2023, 20k+ GitHub stars 2M+ downloads and installations 1000+ enterprise...
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ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
MilvusScyllaDBsearchxml
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