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DBMS > Amazon DynamoDB vs. Apache Phoenix vs. Snowflake vs. Transbase

System Properties Comparison Amazon DynamoDB vs. Apache Phoenix vs. Snowflake vs. Transbase

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonSnowflake  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA scale-out RDBMS with evolutionary schema built on Apache HBaseCloud-based data warehousing service for structured and semi-structured dataA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score71.85
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.93
Rank#120  Overall
#59  Relational DBMS
Score140.60
Rank#7  Overall
#5  Relational DBMS
Score0.05
Rank#357  Overall
#151  Relational DBMS
Websiteaws.amazon.com/­dynamodbphoenix.apache.orgwww.snowflake.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.aws.amazon.com/­dynamodbphoenix.apache.orgdocs.snowflake.net/­manuals/­index.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAmazonApache Software FoundationSnowflake Computing Inc.Transaction Software GmbH
Initial release2012201420141987
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0commercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++
Server operating systemshostedLinux
Unix
Windows
hostedFreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsRESTful HTTP APIJDBCCLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsyes
Triggersyes infoby integration with AWS Lambdanono infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
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 regionACIDACIDyes
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.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standard

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More resources
Amazon DynamoDBApache PhoenixSnowflakeTransbase
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