The DB-Engines ranking includes now search enginesĬloudera Boosts Hadoop App Development On Impala More resources Impala Solr DB-Engines blog postsĮlasticsearch replaced Solr as the most popular search engineĮnterprise Search Engines almost double their popularity in the last 12 months We invite representatives of vendors of related products to contact us for presenting information about their offerings here. We invite representatives of system vendors to contact us for updating and extending the system information,Īnd for displaying vendor-provided information such as key customers, competitive advantages and market metrics. no yes User concepts Access control Access rights for users, groups and roles based on Apache Sentry and Kerberos yes More information provided by the system vendor Scala Server-side scripts Stored procedures yes user defined functions and integration of map-reduce Java plugins Triggers no yes User configurable commands triggered on index changes Partitioning methods Methods for storing different data on different nodes Sharding Sharding Replication methods Methods for redundantly storing data on multiple nodes selectable replication factor yes MapReduce Offers an API for user-defined Map/Reduce methods yes query execution via MapReduce spark-solr: /lucidworks/spark-solr and streaming expressions to reduce Consistency concepts Methods to ensure consistency in a distributed system Eventual Consistency Eventual Consistency Foreign keys Referential integrity no no Transaction concepts Support to ensure data integrity after non-atomic manipulations of data no optimistic locking 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. NetĪny language that supports sockets and either XML or JSON RESTful HTTP/JSON API Supported programming languages All languages supporting JDBC/ODBC. no yes Secondary indexes yes yes All search fields are automatically indexed SQL Support of SQL SQL-like DML and DDL statements Solr Parallel SQL Interface APIs and other access methods JDBC support for XML data structures, and/or support for XPath, XQuery or XSLT. Tomcat, Jetty is included) Data scheme yes yes Dynamic Fields enables on-the-fly addition of new fields Typing predefined data types such as float or date yes yes supports customizable data types and automatic typing XML support Some form of processing data in XML format, e.g.
Implementation language C++ Java Server operating systems Linux All OS with a Java VM runs as a servlet in servlet container (e.g. Providers of DBaaS offerings, please contact us to be listed.
Editorial information provided by DB-Engines Name Impala X exclude from comparison Solr X exclude from comparison Description Analytic DBMS for Hadoop A widely used distributed, scalable search engine based on Apache Lucene Primary database model Relational DBMS Search engine Secondary database models Document store Spatial DBMS DB-Engines Ranking measures the popularity of database management systems Trend Chart Score 17.56 Rank #40 Overall #25 Relational DBMS Score 55.78 Rank #20 Overall #3 Search engines Website /solr Technical documentation /documentation/enterprise/latest/topics/impala.html /solr/resources.html Developer Cloudera Apache Software Foundation Initial release 2013 2006 Current release 4.0.0, July 2021 9.0.0, May 2022 License Commercial or Open Source Open Source Apache Version 2 Open Source Apache Version 2 Cloud-based only Only available as a cloud service no no DBaaS offerings (sponsored links) Database as a Service Our visitors often compare Impala and Solr with Spark SQL, Microsoft SQL Server and HBase. Please select another system to include it in the comparison. Solr System Properties Comparison Impala vs.
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