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DBMS > Amazon SimpleDB vs. Databricks vs. PlanetScale

System Properties Comparison Amazon SimpleDB vs. Databricks vs. PlanetScale

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDatabricks  Xexclude from comparisonPlanetScale  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 ScioreThe 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.Scalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelKey-value storeDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.databricks.complanetscale.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.databricks.complanetscale.com/­docs
DeveloperAmazonDatabricksPlanetScale
Initial release200720132020
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo
Server operating systemshostedhostedDocker
Linux
macOS
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
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.yes
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnowith Databricks SQLyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Python
R
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes infoproprietary syntax
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Amazon SimpleDBDatabricksPlanetScale
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon SimpleDBDatabricksPlanetScale
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Recent citations in the news

Amazon SimpleDB Expands Web Services
31 May 2024, Data Center Knowledge

A Place for Everything – Amazon SimpleDB
14 December 2007, AWS Blog

Amazon DynamoDB Serves Trillions Of Requests Per Month While Counterpart SimpleDB Is No Longer A Listed ...
12 November 2013, TechCrunch

Hands-on Tutorial for Getting Started with Amazon SimpleDB
28 May 2010, Packt Hub

An Overview of Amazon Web Services - Cloud Application Architectures [Book]
22 September 2018, O'Reilly Media

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4 June 2024, The Wall Street Journal

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4 June 2024, CNBC

Databricks Agrees to Acquire Tabular, the Company Founded by the Original Creators of Apache Iceberg USA - English
4 June 2024, PR Newswire

Databricks to buy data management firm Tabular for over $1 billion | Today News
4 June 2024, Mint

Databricks acquires Tabular to build a common data lakehouse standard
4 June 2024, TechCrunch

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11 March 2024, The Register

PlanetScale forks MySQL to add vector support
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PlanetScale forks MySQL to add vector support
3 October 2023, TechCrunch

PlanetScale Named to Fortune 2023 Best Small Workplaces
31 August 2023, Business Wire

How to Migrate to PlanetScale's Serverless Database
14 October 2021, The New Stack

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