DBMS > Elasticsearch vs. MySQL vs. Spark SQL
System Properties Comparison Elasticsearch vs. MySQL vs. Spark SQL
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|Editorial information provided by DB-Engines|
|Name||Elasticsearch Xexclude from comparison||MySQL Xexclude from comparison||Spark SQL Xexclude from comparison|
|Description||A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric||Widely used open source RDBMS||Spark SQL is a component on top of 'Spark Core' for structured data processing|
|Primary database model||Search engine||Relational DBMS Key/Value like access via memcached API||Relational DBMS|
|Secondary database models||Document store|
|Developer||Elastic||Oracle since 2010, originally MySQL AB, then Sun||Apache Software Foundation|
|Current release||7.8.0, June 2020||8.0.31, October 2022||3.3.0 ( 2.13), June 2022|
|License Commercial or Open Source||Open Source Elastic License||Open Source GPL version 2. Commercial licenses with extended functionallity are available||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|ScaleGrid for MySQL: Fully managed MySQL hosting On-Premises and on a wide variety of cloud providers. Easily deploy, monitor, provision, and scale your deployments in the cloud.|
|Implementation language||Java||C and C++||Scala|
|Server operating systems||All OS with a Java VM||FreeBSD|
|Data scheme||schema-free Flexible type definitions. Once a type is defined, it is persistent||yes||yes|
|Typing predefined data types such as float or date||yes||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||yes||no|
|Secondary indexes||yes All search fields are automatically indexed||yes||no|
|SQL Support of SQL||SQL-like query language||yes with proprietary extensions||SQL-like DML and DDL statements|
|APIs and other access methods||Java API|
RESTful HTTP/JSON API
Proprietary native API
|Supported programming languages||.Net|
Community Contributed Clients
|Server-side scripts Stored procedures||yes||yes proprietary syntax||no|
|Triggers||yes by using the 'percolation' feature||yes||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||yes, utilizing Spark Core|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||ES-Hadoop Connector||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all||Immediate Consistency|
|Foreign keys Referential integrity||no||yes not for MyISAM storage engine||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID not for MyISAM storage engine||no|
|Concurrency Support for concurrent manipulation of data||yes||yes table locks or row locks depending on storage engine||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.||Memcached and Redis integration||yes||no|
|User concepts Access control||Users with fine-grained authorization concept no user groups or roles||no|
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|DB-Engines blog posts|
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