DBMS > Amazon DynamoDB vs. AnzoGraph DB vs. VoltDB
System Properties Comparison Amazon DynamoDB vs. AnzoGraph DB vs. VoltDB
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|Editorial information provided by DB-Engines|
|Name||Amazon DynamoDB Xexclude from comparison||AnzoGraph DB Xexclude from comparison||VoltDB Xexclude from comparison|
|Description||Hosted, scalable database service by Amazon with the data stored in Amazons cloud||Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization||Distributed In-Memory NewSQL RDBMS Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory|
|Primary database model||Document store|
|Developer||Amazon||Cambridge Semantics||VoltDB Inc.|
|Current release||2.3, January 2021||11.3, April 2022|
|License Commercial or Open Source||commercial free tier for a limited amount of database operations||commercial free trial version available||Open Source AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions|
|Cloud-based only Only available as a cloud service||yes||no||no|
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|Implementation language||Java, C++|
|Server operating systems||hosted||Linux||Linux|
OS X for development
|Data scheme||schema-free||Schema-free and OWL/RDFS-schema support||yes|
|Typing predefined data types such as float or date||yes||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||SPARQL and SPARQL* as primary query language. Cypher preview.||yes only a subset of SQL 99|
|APIs and other access methods||RESTful HTTP API||Apache Mule|
OData access for BI tools
RESTful HTTP API
RESTful HTTP/JSON API
|Supported programming languages||.Net|
Erlang not officially supported
|Server-side scripts Stored procedures||no||user defined functions and aggregates||Java|
|Triggers||yes by integration with AWS Lambda||no||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Automatic sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication in MPP-Cluster||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no may be implemented via Amazon Elastic MapReduce (Amazon EMR)||Kerberos/HDFS data loading||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Immediate Consistency can be specified for read operations
|Immediate Consistency in MPP-Cluster|
|Foreign keys Referential integrity||no||no not needed in graphs||no FOREIGN KEY constraints are not supported|
|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||ACID Transactions are executed single-threaded within stored procedures|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes Data access is serialized by the server|
|Durability Support for making data persistent||yes||yes||yes Snapshots and command logging|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes|
|User concepts Access control||Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)||Access rights for users and roles||Users and roles with access to stored procedures|
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|Amazon DynamoDB||AnzoGraph DB||VoltDB|
|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
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Increased popularity for consuming DBMS services out of the cloud
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