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DBMS > Amazon DocumentDB vs. Microsoft Azure Synapse Analytics vs. Milvus vs. TimesTen

System Properties Comparison Amazon DocumentDB vs. Microsoft Azure Synapse Analytics vs. Milvus vs. TimesTen

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeRelational DBMSMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.69
Rank#136  Overall
#22  Document stores
Score17.90
Rank#39  Overall
#24  Relational DBMS
Score0.35
Rank#258  Overall
#11  Multivalue DBMS
Score2.05
Rank#122  Overall
#61  Relational DBMS
Websiteaws.amazon.com/­documentdbazure.microsoft.com/­services/­synapse-analyticsmilvus.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mddocs.oracle.com/­database/­timesten-18.1
DeveloperMicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2019201620191998
Current release1.0, March 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedhostedLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Java
PHP
C++
Go
Java
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoTransact SQLnoPL/SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
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 rolesyesnofine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusTimesTen
Recent citations in the news

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

Amazon DocumentDB (with MongoDB compatibility) adds support for Access Control with User-Defined Roles
26 October 2021, marketscreener.com

An Introduction to Cloud Computing and AWS Certification
26 November 2021, SitePoint

Introduction to Amazon DocumentDB With MongoDB Compatibility
19 October 2020, AiThority

AWS Announces Amazon DocumentDB (with MongoDB Compatibility)
9 January 2019, Business Wire

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The route to success? Microsoft Azure Synapse Analytics and Power BI
9 November 2021, Technology Record

Microsoft's cloud-connected on-prem database: SQL Server 2022 rolls out in private preview
2 November 2021, ZDNet

Microsoft open-sources SynapseML for developing AI pipelines
17 November 2021, VentureBeat

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What Is Vector Similarity Search? | Business Applications of Vector Search
11 August 2021, CIO Insight

Milvus, the AI Search Engine, Originally Developed by Zilliz Joins LF AI as New Incubation Project
10 April 2020, PRNewswire

5 AI startups leading MLops
21 June 2021, InfoWorld

LF AI & Data gets new incubator projects to simplify distributed learning • DEVCLASS
20 July 2021, DevClass

Zilliz Raises $43M to Build AI-powered Unstructured Data
16 November 2020, GlobeNewswire

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