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DBMS > Amazon DynamoDB vs. Badger vs. Databricks vs. SQL.JS

System Properties Comparison Amazon DynamoDB vs. Badger vs. Databricks vs. SQL.JS

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Port of SQLite to JavaScript
Primary database modelDocument store
Key-value store
Key-value storeDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.22
Rank#320  Overall
#47  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websiteaws.amazon.com/­dynamodbgithub.com/­dgraph-io/­badgerwww.databricks.comsql.js.org
Technical documentationdocs.aws.amazon.com/­dynamodbgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comsql.js.org/­documentation/­index.html
DeveloperAmazonDGraph LabsDatabricksAlon Zakai infoenhancements implemented by others
Initial release2012201720132012
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaScript
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesnoyes
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.noyesno
Secondary indexesyesnoyes
SQL infoSupport of SQLnonowith Databricks SQLyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
JavaScript API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
GoPython
R
Scala
JavaScript
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesno
Triggersyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate Consistencynone
Foreign keys infoReferential integritynonoyes
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 regionnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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
Amazon DynamoDBBadgerDatabricksSQL.JS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon DynamoDBBadgerDatabricksSQL.JS
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