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DBMS > Amazon Redshift vs. EsgynDB vs. Milvus vs. Realm

System Properties Comparison Amazon Redshift vs. EsgynDB vs. Milvus vs. Realm

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonEsgynDB  Xexclude from comparisonMilvus  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA DBMS designed for efficient storage of vector data and vector similarity searchesA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSRelational DBMSVector DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteaws.amazon.com/­redshiftwww.esgyn.cnmilvus.iorealm.io
Technical documentationdocs.aws.amazon.com/­redshiftmilvus.io/­docs/­overview.mdrealm.io/­docs
DeveloperAmazon (based on PostgreSQL)EsgynRealm, acquired by MongoDB in May 2019
Initial release2012201520192014
Current release2.3.4, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageCC++, JavaC++, Go
Server operating systemshostedLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes
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 indexesrestrictedyesnoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesnono
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetC++
Go
Java
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functions infoin PythonJava Stored Proceduresnono inforuns within the applications so server-side scripts are unnecessary
Triggersnononoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole based access control and fine grained access rightsyes
More information provided by the system vendor
Amazon RedshiftEsgynDBMilvusRealm
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
Amazon RedshiftEsgynDBMilvusRealm
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