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DBMS > Amazon DynamoDB vs. Databricks vs. FatDB vs. Percona Server for MySQL vs. STSdb

System Properties Comparison Amazon DynamoDB vs. Databricks vs. FatDB vs. Percona Server for MySQL vs. STSdb

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDatabricks  Xexclude from comparisonFatDB  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSTSdb  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
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 .NET NoSQL DBMS that can integrate with and extend SQL Server.Enhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Document store
Key-value store
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score87.42
Rank#15  Overall
#2  Document stores
#2  Key-value stores
Score55.62
Rank#20  Overall
#3  Document stores
#13  Relational DBMS
Score2.79
Rank#109  Overall
#56  Relational DBMS
Score0.02
Rank#347  Overall
#53  Key-value stores
Websiteaws.amazon.com/­dynamodbdatabricks.comwww.percona.com/­software/­mysql-database/­percona-servergithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­dynamodbdatabricks.com/­documentationwww.percona.com/­downloads/­Percona-Server-LATEST
DeveloperAmazonDatabricksFatCloudPerconaSTS Soft SC
Initial release20122013201220082011
Current release8.0.28-20, 20224.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen SourcecommercialOpen Source infoGPL version 2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C and C++C#
Server operating systemshostedhostedWindowsLinuxWindows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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.yesyes
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnowith Databricks SQLno infoVia inetgration in SQL Serveryesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
ODBC
.NET Client API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Python
R
Scala
C#Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes infovia applicationsyesno
Triggersyes infoby integration with AWS Lambdayes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factorMulti-source replication
Source-replica replication
XtraDB Cluster
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
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 regionACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 infoCan implement custom security layer via applicationsUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
Amazon DynamoDBDatabricksFatDBPercona Server for MySQLSTSdb
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