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DBMS > Amazon Aurora vs. Microsoft Azure AI Search vs. ObjectBox vs. RocksDB vs. Teradata

System Properties Comparison Amazon Aurora vs. Microsoft Azure AI Search vs. ObjectBox vs. RocksDB vs. Teradata

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonObjectBox  Xexclude from comparisonRocksDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonSearch-as-a-service for web and mobile app developmentExtremely fast embedded database for small devices, IoT and MobileEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSSearch engineObject oriented DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeVector DBMSTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraazure.microsoft.com/­en-us/­services/­searchobjectbox.iorocksdb.orgwww.teradata.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.objectbox.iogithub.com/­facebook/­rocksdb/­wikidocs.teradata.com
DeveloperAmazonMicrosoftObjectBox LimitedFacebook, Inc.Teradata
Initial release20152015201720131984
Current releaseV18.11.4, April 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemshostedhostedAndroid
iOS
Linux
macOS
Windows
Linuxhosted
Linux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yesnononoyes
Secondary indexesyesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesnononoyes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIProprietary native APIC++ API
Java API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
JavaScript
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Go
Java
Perl
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesnononoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud servicenonehorizontal partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceonline/offline synchronization between client and serveryesMulti-source replication
Source-replica replication
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 integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraMicrosoft Azure AI SearchObjectBoxRocksDBTeradata
News

The first On-Device Vector Database: ObjectBox 4.0
16 May 2024

Edge AI: The era of on-device AI
23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon AuroraMicrosoft Azure AI SearchObjectBoxRocksDBTeradata
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