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DBMS > Milvus vs. Sphinx vs. SwayDB vs. Teradata Aster

System Properties Comparison Milvus vs. Sphinx vs. SwayDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonSphinx  Xexclude from comparisonSwayDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesOpen source search engine for searching in data from different sources, e.g. relational databasesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storagePlatform for big data analytics on multistructured data sources and types
Primary database modelVector DBMSSearch engineKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitemilvus.iosphinxsearch.comswaydb.simer.au
Technical documentationmilvus.io/­docs/­overview.mdsphinxsearch.com/­docs
DeveloperSphinx Technologies Inc.Simer PlahaTeradata
Initial release2019200120182005
Current release2.4.4, May 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoGNU Affero GPL V3.0commercial
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoC++Scala
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateVector, Numeric and Stringnonoyes
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 infoin Aster File Store
Secondary indexesnoyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)noyes
APIs and other access methodsRESTful HTTP APIProprietary protocolADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
Kotlin
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnononoR packages
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole based access control and fine grained access rightsnonofine grained access rights according to SQL-standard
More information provided by the system vendor
MilvusSphinxSwayDBTeradata Aster
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 scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ 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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More resources
MilvusSphinxSwayDBTeradata Aster
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