DB-EnginesExtremeDB: the first and only COTS deterministic embedded database management system for mission- and safety-critical hard real-time applicationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon DynamoDB vs. Datomic vs. Spark SQL

System Properties Comparison Amazon DynamoDB vs. Datomic vs. Spark SQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDatomic  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitySpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.55
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score1.82
Rank#127  Overall
#62  Relational DBMS
Score22.94
Rank#34  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.datomic.comspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.datomic.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonCognitectApache Software Foundation
Initial release201220122014
Current release0.9.5951, July 20193.1.1, March 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infolimited edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureScala
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Clojure
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsno
Triggersyes infoby integration with AWS LambdaBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integritynonono
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 regionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nono

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
SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

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

More resources
Amazon DynamoDBDatomicSpark SQL
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

Recent citations in the news

Expedia : Kinesis Data Stream for Async Booking Email Handling... (Opens in new window)
12 October 2021, Marketscreener.com

Evaluate cloud database security controls, best practices
13 October 2021, TechTarget

A better way to query DynamoDB data with SQL
10 March 2021, TechTarget

Data Management on the Cloud Leveraging AWS
26 October 2021, CIO

Forgeahead Solutions Gets AWS Partner Designation for Serverless Computing Services
29 September 2021, EIN News

provided by Google News

Lucas Cavalcanti on Using Clojure, Microservices, Hexagonal Architecture and Public Cloud at Nubank
16 August 2021, InfoQ.com

Brazil's Nubank Acquires US Software Firm Cognitect
30 July 2020, Nearshore Americas

Nubank buys firm behind Clojure programming language
28 July 2020, Finextra

Homoiconicity: It Is What It Is
31 October 2017, InfoQ.com

provided by Google News

Managing Partitions Using Spark Dataframe Methods | Job Seeker/Employer News | tucson.com
26 October 2021, Arizona Daily Star

Online workshop: Scalable data science with Python and Spark
12 October 2021, Market Research Telecast

Java Vs Python For Data Science
20 October 2021, Analytics India Magazine

Here is Everything You Need to Know About Big Data Warehouse Manager
7 October 2021, Analytics Insight

Analytics Chip Startup Speedata Emerges from Stealth
30 September 2021, Datanami

provided by Google News

Job opportunities

Front End Developer
Building Safety Solutions, Inc.(BSS), Remote

Front End Developer
Skywalk Global, Dallas, TX

Security Engineer - 2022 (United States)
Amazon.com Services LLC, Seattle, WA

Allo Junior Software Engineer
ALLO Communications, Remote

Full Stack Engineer (.NET)- AWS Elastic Beanstalk/DynamoDB
Advantage Pro LC, Remote

Sr. iOS Engineer
Client Resources, Inc., Lincoln, NE

Full Stack Engineer
i3 Patterns Inc, Remote

Sr. Backend Engineer (Clojure, Datomic)
Railsbank, Chicago, IL

Data Platform Engineer
Analytical Flavor Systems, Inc, Remote

Sr. Backend Engineer - ( .NET)
Railsbank, Chicago, IL

Associate Data & Machine Learning Engineer
Amazon Web Services, Inc., United States

Associate Data Lake Consultant
Amazon Web Services, Inc., United States

Data Analyst
LT Technology Services, Spring, TX

Data Analyst
Lenovo, Morrisville, NC

Data Engineer
NexInfo Solutions, Remote

jobs by Indeed



Share this page

Featured Products

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

AllegroGraph logo

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

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

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

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Present your product here