DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon CloudSearch vs. Amazon DynamoDB vs. Apache Drill vs. Sequoiadb

System Properties Comparison Amazon CloudSearch vs. Amazon DynamoDB vs. Apache Drill vs. Sequoiadb

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonApache Drill  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHosted, scalable database service by Amazon with the data stored in Amazons cloudSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageNewSQL database with distributed OLTP and SQL
Primary database modelSearch engineDocument store
Key-value store
Document store
Relational DBMS
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.08
Rank#133  Overall
#12  Search engines
Score77.72
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score2.58
Rank#118  Overall
#23  Document stores
#56  Relational DBMS
Score0.50
Rank#264  Overall
#42  Document stores
#121  Relational DBMS
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­dynamodbdrill.apache.orgwww.sequoiadb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.aws.amazon.com/­dynamodbdrill.apache.org/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperAmazonAmazonApache Software FoundationSequoiadb Ltd.
Initial release2012201220122013
Current release1.20.3, January 2023
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhostedLinux
OS X
Windows
Linux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regex
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.nono
Secondary indexesyes infoall search fields are automatically indexedyesnoyes
SQL infoSupport of SQLnonoSQL SELECT statement is SQL:2003 compliantSQL-like query language
APIs and other access methodsHTTP APIRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C++.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functionsJavaScript
Triggersnoyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoACID across one or more tables within a single AWS account and regionnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesDepending on the underlying data sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceno
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Depending on the underlying data sourcesimple password-based access control

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon CloudSearchAmazon DynamoDBApache DrillSequoiadb
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Recent citations in the news

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

Is Amazon CloudSearch superior to do-it-yourself search tools?
24 January 2014, TechTarget

CloudSearch Update – Price Reduction, Hebrew & Japanese Support, Partitioning, CloudTrail | Amazon Web Services
19 November 2014, AWS Blog

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

provided by Google News

Amazon Robotics achieves worldwide scale and improves engineering efficiency by 35% with Amazon DynamoDB ...
28 March 2024, AWS Blog

AWS Weekly Roundup — Savings Plans, Amazon DynamoDB, AWS CodeArtifact, and more — March 25, 2024 ...
25 March 2024, AWS Blog

Simplify cross-account access control with Amazon DynamoDB using resource-based policies | Amazon Web Services
20 March 2024, AWS Blog

Performant, Fine Grained Authorization at scale powered by Amazon DynamoDB | Amazon Web Services
22 March 2024, AWS Blog

Bulk update Amazon DynamoDB tables with AWS Step Functions | Amazon Web Services
20 March 2024, AWS Blog

provided by Google News

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, TheServerSide.com

Analyse Kafka messages with SQL queries using Apache Drill
27 September 2019, Towards Data Science

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

Apache Drill Poised to Crack Tough Data Challenges
19 May 2015, Datanami

Apache Drill Eliminates ETL, Data Transformation for MapR Database
11 April 2016, The New Stack

provided by Google News



Share this page

Featured Products

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here