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DBMS > Apache Cassandra vs. Apache Solr vs. Databricks

System Properties Comparison Apache Cassandra vs. Apache Solr vs. Databricks

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonApache Solr  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA 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.
Primary database modelWide column storeSearch engineDocument store
Relational DBMS
Secondary database modelsVector DBMS infostarting with release V5Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score108.05
Rank#11  Overall
#1  Wide column stores
Score32.79
Rank#23  Overall
#3  Search engines
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Websitecassandra.apache.orgsolr.apache.orgwww.databricks.com
Technical documentationcassandra.apache.org/­doc/­latestsolr.apache.org/­resources.htmldocs.databricks.com
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookApache Software FoundationDatabricks
Initial release200820062013
Current release5.0-rc1, July 20249.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsBSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)hosted
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typing
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.noyesyes
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)Solr Parallel SQL Interfacewith Databricks SQL
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Java API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Python
R
Scala
Server-side scripts infoStored proceduresnoJava pluginsuser defined functions and aggregates
Triggersyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsoptimistic lockingACID
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per objectyes
More information provided by the system vendor
Apache CassandraApache SolrDatabricks
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