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DBMS > Amazon DynamoDB vs. Spark SQL vs. SurrealDB

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

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudSpark SQL is a component on top of 'Spark Core' for structured data processingA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.72
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score1.04
Rank#197  Overall
#33  Document stores
#17  Graph DBMS
Websiteaws.amazon.com/­dynamodbspark.apache.org/­sqlsurrealdb.com
Technical documentationdocs.aws.amazon.com/­dynamodbspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docs
DeveloperAmazonApache Software FoundationSurrealDB Ltd
Initial release201220142022
Current release3.5.0 ( 2.13), September 2023v1.1.1, January 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaRust
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-free
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.no
Secondary indexesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnono
Triggersyes infoby integration with AWS Lambdano
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
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
Foreign keys infoReferential integritynono
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 regionnoACID
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.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noyes, based on authentication and database rules

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More resources
Amazon DynamoDBSpark SQLSurrealDB
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