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DBMS > Amazon DynamoDB vs. Databricks vs. Percona Server for MongoDB vs. RavenDB

System Properties Comparison Amazon DynamoDB vs. Databricks vs. Percona Server for MongoDB vs. RavenDB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDatabricks  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRavenDB  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 drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Document storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score2.92
Rank#101  Overall
#18  Document stores
Websiteaws.amazon.com/­dynamodbwww.databricks.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbravendb.net
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.databricks.comdocs.percona.com/­percona-distribution-for-mongodbravendb.net/­docs
DeveloperAmazonDatabricksPerconaHibernating Rhinos
Initial release2012201320152010
Current release3.4.10-2.10, November 20175.4, July 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoGPL Version 2Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#
Server operating systemshostedhostedLinuxLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesyesyes
SQL infoSupport of SQLnowith Databricks SQLnoSQL-like query language (RQL)
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Python
R
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesJavaScriptyes
Triggersyes infoby integration with AWS Lambdanoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Immediate Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonono
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 regionACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesAuthorization levels configured per client per database
More information provided by the system vendor
Amazon DynamoDBDatabricksPercona Server for MongoDBRavenDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon DynamoDBDatabricksPercona Server for MongoDBRavenDB
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