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DBMS > Amazon CloudSearch vs. GeoMesa vs. ObjectBox vs. Teradata vs. Vitess

System Properties Comparison Amazon CloudSearch vs. GeoMesa vs. ObjectBox vs. Teradata vs. Vitess

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGeoMesa  Xexclude from comparisonObjectBox  Xexclude from comparisonTeradata  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Extremely fast embedded database for small devices, IoT and MobileA hybrid cloud data analytics software platform (Teradata Vantage)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSearch engineSpatial DBMSObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.geomesa.orgobjectbox.iowww.teradata.comvitess.io
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.objectbox.iodocs.teradata.comvitess.io/­docs
DeveloperAmazonCCRi and othersObjectBox LimitedTeradataThe Linux Foundation, PlanetScale
Initial release20122014201719842013
Current release4.0.5, February 2024Teradata Vantage 1.0 MU2, January 201915.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache License 2.0commercialOpen Source infoApache Version 2.0, commercial licenses available
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 languageScalaC and C++Go
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
hosted
Linux
Docker
Linux
macOS
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes
Secondary indexesyes infoall search fields are automatically indexedyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnononoyes infoSQL 2016 + extensionsyes infowith proprietary extensions
APIs and other access methodsHTTP APIProprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnononoyes infoUDFs, stored procedures, table functions in parallelyes infoproprietary syntax
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requireddepending on storage layernoneSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSdepending on storage layeronline/offline synchronization between client and serverMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.depending on storage layernoyesyes
User concepts infoAccess controlauthentication via encrypted signaturesyes infodepending on the DBMS used for storageyesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Amazon CloudSearchGeoMesaObjectBoxTeradataVitess
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14 November 2023

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9 August 2023

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More resources
Amazon CloudSearchGeoMesaObjectBoxTeradataVitess
DB-Engines blog posts

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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

AWS, Microsoft and Google should retire these cloud services
2 June 2020, TechTarget

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

Building a PLG motion on top of usage-based pricing
13 March 2023, TechCrunch

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Teacher Retirement System of Texas Has $1.78 Million Stock Position in Teradata Co. (NYSE:TDC)
18 May 2024, Defense World

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17 May 2024, TipRanks

With 88% institutional ownership, Teradata Corporation (NYSE:TDC) is a favorite amongst the big guns
17 May 2024, Yahoo New Zealand News

Chief Customer Officer Of Teradata Sold 25% Of Their Shares
12 May 2024, Simply Wall St

An interview with Teradata CFO Claire Bramley
9 February 2024, McKinsey

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Vitess, the database clustering system powering YouTube, graduates CNCF incubation
5 November 2019, SiliconANGLE News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

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13 December 2018, TechCrunch

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