DBMS > Elasticsearch vs. GigaSpaces
System Properties Comparison Elasticsearch vs. GigaSpaces
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|Editorial information provided by DB-Engines|
|Name||Elasticsearch Xexclude from comparison||GigaSpaces 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||High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions|
|Primary database model||Search engine||Document store|
Object oriented DBMS Values are user defined objects
|Secondary database models||Document store|
|Current release||8.6, January 2023||15.5, September 2020|
|License Commercial or Open Source||Open Source Elastic License||Open Source Apache Version 2; Commercial licenses available|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||Java||Java, C++, .Net|
|Server operating systems||All OS with a Java VM||Linux|
|Data scheme||schema-free Flexible type definitions. Once a type is defined, it is persistent||schema-free|
|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||no XML can be used for describing objects metadata|
|Secondary indexes||yes All search fields are automatically indexed||yes|
|SQL Support of SQL||SQL-like query language||SQL-99 for query and DML statements|
|APIs and other access methods||Java API|
RESTful HTTP/JSON API
RESTful HTTP API
|Supported programming languages||.Net|
Community Contributed Clients
|Server-side scripts Stored procedures||yes||yes|
|Triggers||yes by using the 'percolation' feature||yes, event driven architecture|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication synchronous or asynchronous|
Source-replica replication synchronous or asynchronous
|MapReduce Offers an API for user-defined Map/Reduce methods||ES-Hadoop Connector||yes Map-Reduce pattern can be built with XAP task executors|
|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 Consistency level configurable: ALL, QUORUM, ANY|
|Foreign keys Referential integrity||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||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|
|User concepts Access control||Role-based access control|
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|DB-Engines blog posts|
PostgreSQL is the DBMS of the Year 2017 Elasticsearch moved into the top 10 most popular database management systems MySQL, PostgreSQL and Redis are the winners of the March ranking
Elasticsearch moved into the top 10 most popular database management systems MySQL, PostgreSQL and Redis are the winners of the March ranking
MySQL, PostgreSQL and Redis are the winners of the March ranking
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