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DBMS > Apache Solr vs. Hazelcast vs. Rockset

System Properties Comparison Apache Solr vs. Hazelcast vs. Rockset

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Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonHazelcast  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneA widely adopted in-memory data gridA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelSearch engineKey-value storeDocument store
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score34.15
Rank#24  Overall
#3  Search engines
Score5.72
Rank#59  Overall
#6  Key-value stores
Score1.07
Rank#180  Overall
#31  Document stores
Websitesolr.apache.orghazelcast.comrockset.com
Technical documentationsolr.apache.org/­resources.htmlhazelcast.org/­imdg/­docsdocs.rockset.com
DeveloperApache Software FoundationHazelcastRockset
Initial release200620082019
Current release9.6.1, May 20245.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)All OS with a Java VMhosted
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeschema-free
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesdynamic 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.yesyes infothe object must implement a serialization strategyno infoingestion from XML files supported
Secondary indexesyes infoAll search fields are automatically indexedyesall fields are automatically indexed
SQL infoSupport of SQLSolr Parallel SQL InterfaceSQL-like query languageRead-only SQL queries, including JOINs
APIs and other access methodsJava API
RESTful HTTP/JSON API
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava pluginsyes infoEvent Listeners, Executor Servicesno
Triggersyes infoUser configurable commands triggered on index changesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingone or two-phase-commit; repeatable reads; read commitedno
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.yesyes
User concepts infoAccess controlyesRole-based access controlAccess rights for users and organizations can be defined via Rockset console

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More resources
Apache SolrHazelcastRockset
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