DBMS > Amazon DynamoDB vs. Hypertable vs. Percona Server for MySQL
System Properties Comparison Amazon DynamoDB vs. Hypertable vs. Percona Server for MySQL
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|Editorial information provided by DB-Engines|
|Name||Amazon DynamoDB Xexclude from comparison||Hypertable Xexclude from comparison||Percona Server for MySQL Xexclude from comparison|
|Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.|
|Description||Hosted, scalable database service by Amazon with the data stored in Amazons cloud||An open source BigTable implementation based on distributed file systems such as Hadoop||Enhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.|
|Primary database model||Document store|
|Wide column store||Relational DBMS|
|Current release||0.9.8.11, March 2016||8.0.28-20, 2022|
|License Commercial or Open Source||commercial free tier for a limited amount of database operations||Open Source GNU version 3. Commercial license available||Open Source GPL version 2|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C++||C and C++|
|Server operating systems||hosted||Linux|
Windows an inofficial Windows port is available
|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.||yes|
|Secondary indexes||yes||restricted only exact value or prefix value scans||yes|
|SQL Support of SQL||no||no||yes|
|APIs and other access methods||RESTful HTTP API||C++ API|
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||no||no||yes|
|Triggers||yes by integration with AWS Lambda||no||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||selectable replication factor on file system level||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no may be implemented via Amazon Elastic MapReduce (Amazon EMR)||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Immediate Consistency can be specified for read operations
|Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||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||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||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.||yes|
|User concepts Access control||Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)||no||Users with fine-grained authorization concept no user groups or roles|
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|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
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|Amazon DynamoDB||Hypertable||Percona Server for MySQL|
|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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