DBMS > Elasticsearch vs. OpenQM vs. TimescaleDB
System Properties Comparison Elasticsearch vs. OpenQM vs. TimescaleDB
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|Editorial information provided by DB-Engines|
|Name||Elasticsearch Xexclude from comparison||OpenQM also called QM Xexclude from comparison||TimescaleDB 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||QpenQM is a high-performance, self-tuning, multi-value DBMS||A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL|
|Primary database model||Search engine||Multivalue DBMS||Time Series DBMS|
|Secondary database models||Document store|
|Current release||8.6, January 2023||3.4-12||2.6.0, February 2022|
|License Commercial or Open Source||Open Source Elastic License||Open Source GPLv2, extended commercial license 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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|Server operating systems||All OS with a Java VM||AIX|
|Data scheme||schema-free Flexible type definitions. Once a type is defined, it is persistent||yes with some exceptions||yes|
|Typing predefined data types such as float or date||yes||numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data 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.||no||yes||yes|
|Secondary indexes||yes All search fields are automatically indexed||yes||yes|
|SQL Support of SQL||SQL-like query language||no||yes full PostgreSQL SQL syntax|
|APIs and other access methods||Java API|
RESTful HTTP/JSON API
native C library
streaming API for large objects
|Supported programming languages||.Net|
Community Contributed Clients
|Server-side scripts Stored procedures||yes||yes||user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell|
|Triggers||yes by using the 'percolation' feature||yes||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||yes||yes, across time and space (hash partitioning) attributes|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||yes||Source-replica replication with hot standby and reads on replicas|
|MapReduce Offers an API for user-defined Map/Reduce methods||ES-Hadoop Connector||no||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||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||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.||Memcached and Redis integration||no|
|User concepts Access control||Access rights can be defined down to the item level||fine grained access rights according to SQL-standard|
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|Elasticsearch||OpenQM also called QM||TimescaleDB|
|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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