DBMS > Elasticsearch vs. Teradata Aster
System Properties Comparison Elasticsearch vs. Teradata Aster
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|Editorial information provided by DB-Engines|
|Name||Elasticsearch Xexclude from comparison||Teradata Aster Xexclude from comparison|
|Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.|
|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||Platform for big data analytics on multistructured data sources and types|
|Primary database model||Search engine||Relational DBMS|
|Secondary database models||Document store|
|Current release||8.6, January 2023|
|License Commercial or Open Source||Open Source Elastic License||commercial|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|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||Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store|
|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||yes in Aster File Store|
|Secondary indexes||yes All search fields are automatically indexed||yes|
|SQL Support of SQL||SQL-like query language||yes|
|APIs and other access methods||Java API|
RESTful HTTP/JSON API
|Supported programming languages||.Net|
Community Contributed Clients
|Server-side scripts Stored procedures||yes||R packages|
|Triggers||yes by using the 'percolation' feature||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.|
|MapReduce Offers an API for user-defined Map/Reduce methods||ES-Hadoop Connector||yes SQL Map-Reduce Framework|
|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 or Eventual Consistency depending on configuration|
|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||no|
|User concepts Access control||fine grained access rights according to SQL-standard|
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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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