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DBMS > Amazon Aurora vs. Sadas Engine vs. SiteWhere vs. Teradata vs. YottaDB

System Properties Comparison Amazon Aurora vs. Sadas Engine vs. SiteWhere vs. Teradata vs. YottaDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiteWhere  Xexclude from comparisonTeradata  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsM2M integration platform for persisting/querying time series dataA hybrid cloud data analytics software platform (Teradata Vantage)A fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteaws.amazon.com/­rds/­aurorawww.sadasengine.comgithub.com/­sitewhere/­sitewherewww.teradata.comyottadb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsitewhere1.sitewhere.io/­index.htmldocs.teradata.comyottadb.com/­resources/­documentation
DeveloperAmazonSADAS s.r.l.SiteWhereTeradataYottaDB, LLC
Initial release20152006201019842001
Current release8.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoCommon Public Attribution License Version 1.0commercialOpen Source infoAGPL 3.0
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.
Implementation languageC++JavaC
Server operating systemshostedAIX
Linux
Windows
Linux
OS X
Windows
hosted
Linux
Docker
Linux
Data schemeyesyespredefined schemeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.yesnonoyesno
Secondary indexesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno
SQL infoSupport of SQLyesyesnoyes infoSQL 2016 + extensionsby using the Octo plugin
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
HTTP REST.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesnoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningSharding infobased on HBaseSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes infomanaged by 'Learn by Usage'noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
Amazon AuroraSadas EngineSiteWhereTeradataYottaDB
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