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DBMS > Amazon DynamoDB vs. EDB Postgres vs. Elasticsearch vs. Milvus vs. openGemini

System Properties Comparison Amazon DynamoDB vs. EDB Postgres vs. Elasticsearch vs. Milvus vs. openGemini

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonEDB Postgres  Xexclude from comparisonElasticsearch  Xexclude from comparisonMilvus  Xexclude from comparisonopenGemini  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA DBMS designed for efficient storage of vector data and vector similarity searchesAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalability
Primary database modelDocument store
Key-value store
Relational DBMSSearch engineVector DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Websiteaws.amazon.com/­dynamodbwww.enterprisedb.comwww.elastic.co/­elasticsearchmilvus.iowww.opengemini.org
github.com/­openGemini
Technical documentationdocs.aws.amazon.com/­dynamodbwww.enterprisedb.com/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlmilvus.io/­docs/­overview.mddocs.opengemini.org/­guide
DeveloperAmazonEnterpriseDBElasticHuawei and openGemini community
Initial release20122005201020192022
Current release14, December 20218.6, January 20232.4.4, May 20241.1, July 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infoBSD for PostgreSQL-componentsOpen Source infoElastic LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
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 languageCJavaC++, GoGo
Server operating systemshostedLinux
Windows
All OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
Data schemeschema-freeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and StringInteger, Float, Boolean, String
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsSQL-like query languagenoSQL-like query language
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
RESTful HTTP APIHTTP REST
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesnono
Triggersyes infoby integration with AWS Lambdayesyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoby hash, list or rangeShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardRole based access control and fine grained access rightsAdministrators and common users accounts
More information provided by the system vendor
Amazon DynamoDBEDB PostgresElasticsearchMilvusopenGemini
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
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Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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More resources
Amazon DynamoDBEDB PostgresElasticsearchMilvusopenGemini
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