DBMS > Amazon DynamoDB vs. Fauna vs. Valentina Server
System Properties Comparison Amazon DynamoDB vs. Fauna vs. Valentina Server
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|Editorial information provided by DB-Engines|
|Name||Amazon DynamoDB Xexclude from comparison||Fauna previously named FaunaDB Xexclude from comparison||Valentina Server Xexclude from comparison|
|Description||Hosted, scalable database service by Amazon with the data stored in Amazons cloud||Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.||Object-relational database and reports server|
|Primary database model||Document store|
Time Series DBMS
|Developer||Amazon||Fauna, Inc.||Paradigma Software|
|License Commercial or Open Source||commercial free tier for a limited amount of database operations||commercial||commercial|
|Cloud-based only Only available as a cloud service||yes||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||hosted||Linux|
|Typing predefined data types such as float or date||yes||no||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no|
|SQL Support of SQL||no||no||yes|
|APIs and other access methods||RESTful HTTP API||RESTful HTTP API||ODBC|
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||no||user defined functions||yes|
|Triggers||yes by integration with AWS Lambda||no||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||horizontal partitioning consistent hashing|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no may be implemented via Amazon Elastic MapReduce (Amazon EMR)||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Immediate Consistency can be specified for read operations
|Foreign keys Referential integrity||no||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID ACID across one or more tables within a single AWS account and region||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes|
|User concepts Access control||Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)||Identity management, authentication, and access control||fine grained access rights according to SQL-standard|
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|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
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|Amazon DynamoDB||Fauna previously named FaunaDB||Valentina Server|
|DB-Engines blog posts|
Cloud-based DBMS's popularity grows at high rates The popularity of cloud-based DBMSs has increased tenfold in four years Increased popularity for consuming DBMS services out of the cloud
The popularity of cloud-based DBMSs has increased tenfold in four years Increased popularity for consuming DBMS services out of the cloud
Increased popularity for consuming DBMS services out of the cloud
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