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DBMS > Amazon SimpleDB vs. Milvus vs. SiteWhere vs. TDengine

System Properties Comparison Amazon SimpleDB vs. Milvus vs. SiteWhere vs. TDengine

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonMilvus  Xexclude from comparisonSiteWhere  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA DBMS designed for efficient storage of vector data and vector similarity searchesM2M integration platform for persisting/querying time series dataTime Series DBMS and big data platform
Primary database modelKey-value storeVector DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteaws.amazon.com/­simpledbmilvus.iogithub.com/­sitewhere/­sitewheregithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.aws.amazon.com/­simpledbmilvus.io/­docs/­overview.mdsitewhere1.sitewhere.io/­index.htmldocs.tdengine.com
DeveloperAmazonSiteWhereTDEngine, previously Taos Data
Initial release2007201920102019
Current release2.3.4, January 20243.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL V3, also commercial editions available
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 languageC++, GoJavaC
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freepredefined schemeyes
Typing infopredefined data types such as float or datenoVector, Numeric and Stringyesyes
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallynonono
SQL infoSupport of SQLnononoStandard SQL with extensions for time-series applications
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIHTTP RESTJDBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnonono
Triggersnonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role based access control and fine grained access rightsUsers with fine-grained authorization conceptyes
More information provided by the system vendor
Amazon SimpleDBMilvusSiteWhereTDengine
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
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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
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
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