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DBMS > Amazon SimpleDB vs. Apache Spark (SQL) vs. Databricks

System Properties Comparison Amazon SimpleDB vs. Apache Spark (SQL) vs. Databricks

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Spark (SQL)  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreApache Spark SQL is a component on top of 'Spark Core' for structured data processingThe 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.
Primary database modelKey-value storeRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.65
Rank#136  Overall
#23  Key-value stores
Score17.80
Rank#31  Overall
#19  Relational DBMS
Score87.85
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Websiteaws.amazon.com/­simpledbspark.apache.org/­sqlwww.databricks.com
Technical documentationdocs.aws.amazon.com/­simpledbspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.databricks.com
DeveloperAmazonApache Software FoundationDatabricks
Initial release200720142013
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemshostedLinux
OS X
Windows
hosted
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyes
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 indexesyes infoAll columns are indexed automaticallynoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementswith Databricks SQL
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Python
R
Scala
Server-side scripts infoStored proceduresnonouser defined functions and aggregates
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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)no
More information provided by the system vendor
Amazon SimpleDBApache Spark (SQL)Databricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon SimpleDBApache Spark (SQL)Databricks
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