DBMS > Amazon DynamoDB vs. Manticore Search vs. Percona Server for MySQL
System Properties Comparison Amazon DynamoDB vs. Manticore Search vs. Percona Server for MySQL
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|Editorial information provided by DB-Engines|
|Name||Amazon DynamoDB Xexclude from comparison||Manticore Search Xexclude from comparison||Percona Server for MySQL Xexclude from comparison|
|Description||Hosted, scalable database service by Amazon with the data stored in Amazons cloud||Multi-storage database for search, including full-text search.||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|
|Search engine||Relational DBMS|
|Secondary database models||Time Series DBMS using the Manticore Columnar Library|
|Current release||4.2, December 2021||8.0.28-20, 2022|
|License Commercial or Open Source||commercial free tier for a limited amount of database operations||Open Source GPL version 2||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||FreeBSD|
|Data scheme||schema-free||Fixed schema||yes|
|Typing predefined data types such as float or date||yes||Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean||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.||Can index from XML||yes|
|Secondary indexes||yes||yes full-text index on all search fields||yes|
|SQL Support of SQL||no||SQL-like query language||yes|
|APIs and other access methods||RESTful HTTP API||Binary API|
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
|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||Sharding Partitioning is done manually, search queries against distributed index is supported|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Synchronous replication based on Galera library||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||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||yes isolated transactions for atomic changes and binary logging for safe writes||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes The original contents of fields are not stored in the Manticore index.||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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|Related products and services|
|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
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|Amazon DynamoDB||Manticore Search||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
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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