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DBMS > Apache Solr vs. Databricks vs. OpenSearch

System Properties Comparison Apache Solr vs. Databricks vs. OpenSearch

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Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonDatabricks  Xexclude from comparisonOpenSearch  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelSearch engineDocument store
Relational DBMS
Search engine
Vector DBMS
Secondary database modelsSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score32.40
Rank#24  Overall
#3  Search engines
Score99.29
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Score17.19
Rank#32  Overall
#4  Search engines
#2  Vector DBMS
Websitesolr.apache.orgwww.databricks.comgithub.com/­opensearch-project
opensearch.org
Technical documentationsolr.apache.org/­resources.htmldocs.databricks.comopensearch.org/­docs/­latest
DeveloperApache Software FoundationDatabricksThe OpenSearch Software Foundation
Initial release200620132021
Current release9.6.1, May 20242.19, February 2025
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageJavaJava
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)hostedAll OS with a Java VM
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesyes
Secondary indexesyes infoAll search fields are automatically indexedyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSolr Parallel SQL Interfacewith Databricks SQLSQL-like query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresJava pluginsuser defined functions and aggregatesyes
Triggersyes infoUser configurable commands triggered on index changesyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyes

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