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DBMS > Amazon DynamoDB vs. Databricks vs. LMDB

System Properties Comparison Amazon DynamoDB vs. Databricks vs. LMDB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDatabricks  Xexclude from comparisonLMDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudThe 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.A high performant, light-weight, embedded key-value database library
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.95
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score83.29
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.97
Rank#123  Overall
#21  Key-value stores
Websiteaws.amazon.com/­dynamodbwww.databricks.comwww.symas.com/­symas-embedded-database-lmdb
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.databricks.comwww.lmdb.tech/­doc
DeveloperAmazonDatabricksSymas
Initial release201220132011
Current release0.9.32, January 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedhostedLinux
Unix
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyes
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.yesno
Secondary indexesyesyesno
SQL infoSupport of SQLnowith Databricks SQLno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Python
R
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno
Triggersyes infoby integration with AWS Lambdano
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
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 ConsistencyImmediate Consistency
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 regionACIDACID
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.noyes
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 DynamoDBDatabricksLMDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon DynamoDBDatabricksLMDB
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Simplify cross-account access control with Amazon DynamoDB using resource-based policies
20 March 2024, AWS Blog

Introducing configurable maximum throughput for Amazon DynamoDB on-demand
3 May 2024, AWS Blog

Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda
14 May 2024, AWS Blog

Bulk update Amazon DynamoDB tables with AWS Step Functions
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