DBMS > Elasticsearch vs. HEAVY.AI vs. SAP HANA
System Properties Comparison Elasticsearch vs. HEAVY.AI vs. SAP HANA
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|Editorial information provided by DB-Engines|
|Name||Elasticsearch Xexclude from comparison||HEAVY.AI Formerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022 Xexclude from comparison||SAP HANA 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||A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware||In-memory, column based data store. Available as appliance or cloud service|
|Primary database model||Search engine||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Spatial DBMS||Document store|
Graph DBMS with SAP Hana, Enterprise Edition
|Current release||8.6, January 2023||5.10, January 2022||2.0 SPS07 (April 4, 2023), April 2023|
|License Commercial or Open Source||Open Source Elastic License||Open Source Apache Version 2; enterprise edition available||commercial|
|Cloud-based only Only available as a cloud service||no||no||no also available as a cloud based service|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||Java||C++ and CUDA|
|Server operating systems||All OS with a Java VM||Linux||Appliance or cloud-service|
|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||no||no|
|Secondary indexes||yes All search fields are automatically indexed||no||yes|
|SQL Support of SQL||SQL-like query language||yes||yes|
|APIs and other access methods||Java API|
RESTful HTTP/JSON API
|Supported programming languages||.Net|
Community Contributed Clients
|All languages supporting JDBC/ODBC/Thrift|
|Server-side scripts Stored procedures||yes||no||SQLScript, R|
|Triggers||yes by using the 'percolation' feature||no||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding Round robin||yes|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication||yes|
|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||no||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||yes||yes|
|User concepts Access control||fine grained access rights according to SQL-standard||yes|
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|Related products and services|
|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
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|Elasticsearch||HEAVY.AI Formerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022||SAP HANA|
|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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