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 DynamoDB vs. RethinkDB vs. searchxml vs. SQream DB vs. STSdb

System Properties Comparison Amazon DynamoDB vs. RethinkDB vs. searchxml vs. SQream DB vs. STSdb

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonsearchxml  Xexclude from comparisonSQream DB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudDBMS for the Web with a mechanism to push updated query results to applications in realtime.DBMS for structured and unstructured content wrapped with an application servera GPU-based, columnar RDBMS for big data analytics workloadsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Key-value store
Document storeNative XML DBMS
Search engine
Relational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score2.74
Rank#105  Overall
#19  Document stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­dynamodbrethinkdb.comwww.searchxml.net/­category/­productssqream.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­dynamodbrethinkdb.com/­docswww.searchxml.net/­support/­handoutsdocs.sqream.com
DeveloperAmazonThe Linux Foundation infosince July 2017informationpartners gmbhSQream TechnologiesSTS Soft SC
Initial release20122009201520172011
Current release2.4.1, August 20201.02022.1.6, December 20224.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2commercialcommercialOpen Source infoGPLv2, commercial license 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 languageC++C++C++, CUDA, Haskell, Java, ScalaC#
Server operating systemshostedLinux
OS X
Windows
WindowsLinuxWindows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyesyes, ANSI Standard SQL Typesyes infoprimitive types and user defined types (classes)
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.noyes
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnononoyesno
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
.Net
JDBC
ODBC
.NET Client API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++ infomost other programming languages supported via APIsC++
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresnoyes infoon the application serveruser defined functions in Pythonno
Triggersyes infoby integration with AWS LambdaClient-side triggers through changefeedsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basednonehorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infosychronisation to multiple collectionsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionAtomic single-document operationsmultiple readers, single writerACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyesyes
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.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes infousers and table-level permissionsDomain, group and role-based access control at the document level and for application servicesno

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 DynamoDBRethinkDBsearchxmlSQream DBSTSdb
DB-Engines blog posts

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

Meet some database management systems you are likely to hear more about in the future
4 August 2014, Paul Andlinger

show all

Recent citations in the news

Uber Migrates 1 Trillion Records from DynamoDB to LedgerStore to Save $6 Million Annually
19 May 2024, InfoQ.com

Using the circuit-breaker pattern with AWS Lambda extensions and Amazon DynamoDB | Amazon Web Services
16 May 2024, AWS Blog

Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda | Amazon ...
14 May 2024, AWS Blog

Migrating Uber's Ledger Data from DynamoDB to LedgerStore
11 April 2024, Uber

Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs
29 December 2023, InfoQ.com

provided by Google News

MongoDB: The Popular Database for IoT
15 August 2023, Open Source For You

How to Use RethinkDB with Node.js Applications — SitePoint
16 December 2015, SitePoint

Stripe acquires team behind NoSQL database startup RethinkDB
5 October 2016, VentureBeat

How to deploy RethinkDB using Docker
14 February 2018, Packt Hub

RethinkDB is dead, and MongoDB isn't what killed it
24 January 2017, TechRepublic

provided by Google News

SQream Announces Strategic Integration for Powerful Big Data Analytics with Dataiku
9 February 2024, insideBIGDATA

I SQream, you SQream, we all SQream for … data analytics?
5 October 2023, fierce-network.com

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

Chinese giant Alibaba leads investment round in Israel big-data startup
30 May 2018, The Times of Israel

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

provided by Google News



Share this page

Featured Products

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

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

Milvus logo

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

Present your product here