DBMS > Elasticsearch vs. MySQL vs. SQream DB
System Properties Comparison Elasticsearch vs. MySQL vs. SQream DB
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|Editorial information provided by DB-Engines
|Elasticsearch Xexclude from comparison
|MySQL Xexclude from comparison
|SQream DB Xexclude from comparison
|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
|a GPU-based, columnar RDBMS for big data analytics workloads
|Primary database model
|Relational DBMS Key/Value like access via memcached API
|Secondary database models
|Oracle since 2010, originally MySQL AB, then Sun
|8.6, January 2023
|8.3.0, January 2024
|2022.1.6, December 2022
|License Commercial or Open Source
|Open Source Elastic License
|Open Source GPL version 2. Commercial licenses with extended functionallity are available
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|C and C++
|C++, CUDA, Haskell, Java, Scala
|Server operating systems
|All OS with a Java VM
|schema-free Flexible type definitions. Once a type is defined, it is persistent
|Typing predefined data types such as float or date
|yes, ANSI Standard SQL Types
|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 All search fields are automatically indexed
|SQL Support of SQL
|SQL-like query language
|yes with proprietary extensions
|APIs and other access methods
RESTful HTTP/JSON API
Proprietary native API
|Supported programming languages
Community Contributed Clients
|Server-side scripts Stored procedures
|yes proprietary syntax
|user defined functions in Python
|yes by using the 'percolation' feature
|Partitioning methods Methods for storing different data on different nodes
|horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
|horizontal and vertical partitioning
|Replication methods Methods for redundantly storing data on multiple nodes
|MapReduce Offers an API for user-defined Map/Reduce methods
|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
|Foreign keys Referential integrity
|yes not for MyISAM storage engine
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|ACID not for MyISAM storage engine
|Concurrency Support for concurrent manipulation of data
|yes table locks or row locks depending on storage engine
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|Memcached and Redis integration
|User concepts Access control
|Users with fine-grained authorization concept no user groups or roles
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|Related products and services
|PlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
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Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
CData: Connect to Big Data & NoSQL through standard Drivers.
Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts
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|Recent citations in the news
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provided by Google News
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