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DBMS > Amazon CloudSearch vs. Hive vs. OrigoDB vs. TDengine

System Properties Comparison Amazon CloudSearch vs. Hive vs. OrigoDB vs. TDengine

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonHive  Xexclude from comparisonOrigoDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons clouddata warehouse software for querying and managing large distributed datasets, built on HadoopA fully ACID in-memory object graph databaseTime Series DBMS and big data platform
Primary database modelSearch engineRelational DBMSDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchhive.apache.orgorigodb.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.aws.amazon.com/­cloudsearchcwiki.apache.org/­confluence/­display/­Hive/­Homeorigodb.com/­docsdocs.tdengine.com
DeveloperAmazonApache Software Foundation infoinitially developed by FacebookRobert Friberg et alTDEngine, previously Taos Data
Initial release201220122009 infounder the name LiveDB2019
Current release3.1.3, April 20223.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open SourceOpen 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.
Implementation languageJavaC#C
Server operating systemshostedAll OS with a Java VMLinux
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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.no infocan be achieved using .NETno
Secondary indexesyes infoall search fields are automatically indexedyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP APIJDBC
ODBC
Thrift
.NET Client API
HTTP API
LINQ
JDBC
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
.NetC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesno
Triggersnonoyes infoDomain Eventsyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factorSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users, groups and rolesRole based authorizationyes
More information provided by the system vendor
Amazon CloudSearchHiveOrigoDBTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Amazon CloudSearchHiveOrigoDBTDengine
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