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DBMS > Amazon DynamoDB vs. Apache Druid vs. Microsoft Azure Cosmos DB vs. Milvus vs. VoltDB

System Properties Comparison Amazon DynamoDB vs. Apache Druid vs. Microsoft Azure Cosmos DB vs. Milvus vs. VoltDB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Druid  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMilvus  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataGlobally distributed, horizontally scalable, multi-model database serviceA DBMS designed for efficient storage of vector data and vector similarity searchesDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Key-value store
Relational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Vector DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websiteaws.amazon.com/­dynamodbdruid.apache.orgazure.microsoft.com/­services/­cosmos-dbmilvus.iowww.voltdb.com
Technical documentationdocs.aws.amazon.com/­dynamodbdruid.apache.org/­docs/­latest/­designlearn.microsoft.com/­azure/­cosmos-dbmilvus.io/­docs/­overview.mddocs.voltdb.com
DeveloperAmazonApache Software Foundation and contributorsMicrosoftVoltDB Inc.
Initial release20122012201420192010
Current release29.0.1, April 20242.3.4, January 202411.3, April 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache license v2commercialOpen Source infoApache Version 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
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 languageJavaC++, GoJava, C++
Server operating systemshostedLinux
OS X
Unix
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X infofor development
Data schemeschema-freeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesVector, 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.nono
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultnoyes
SQL infoSupport of SQLnoSQL for queryingSQL-like query languagenoyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP/JSON API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP APIJava API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnonoJavaScriptnoJava
Triggersyes infoby integration with AWS LambdanoJavaScriptnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonononono infoFOREIGN KEY constraints are not supported
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 regionnoMulti-item ACID transactions with snapshot isolation within a partitionnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights can be defined down to the item levelRole based access control and fine grained access rightsUsers and roles with access to stored procedures
More information provided by the system vendor
Amazon DynamoDBApache DruidMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMilvusVoltDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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CData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
Amazon DynamoDBApache DruidMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMilvusVoltDB
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