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DBMS > Milvus vs. Rockset vs. ScyllaDB

System Properties Comparison Milvus vs. Rockset vs. ScyllaDB

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonRockset  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesA scalable, reliable search and analytics service in the cloud, built on RocksDBCassandra and DynamoDB compatible wide column store
Primary database modelVector DBMSDocument storeWide column store
Secondary database modelsRelational DBMS
Search engine
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitemilvus.iorockset.comwww.scylladb.com
Technical documentationmilvus.io/­docs/­overview.mddocs.rockset.comdocs.scylladb.com
DeveloperRocksetScyllaDB
Initial release201920192015
Current release2.3.4, January 2024ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno
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
hostedLinux
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateVector, Numeric and Stringdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesnoall fields are automatically indexedyes infocluster global secondary indices
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsSQL-like DML and DDL statements (CQL)
APIs and other access methodsRESTful HTTP APIHTTP RESTProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
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
Server-side scripts infoStored proceduresnonoyes, Lua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoRepresentation of geographical distribution of servers is possible
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 ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operations
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 tables
User concepts infoAccess controlRole based access control and fine grained access rightsAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users can be defined per object
More information provided by the system vendor
MilvusRocksetScyllaDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
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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 scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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ScyllaDB is ideal for applications that require high throughput and low latency at...
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
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Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ 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
MilvusRocksetScyllaDB
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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