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DBMS > Hazelcast vs. IBM Cloudant vs. Solr vs. YugabyteDB

System Properties Comparison Hazelcast vs. IBM Cloudant vs. Solr vs. YugabyteDB

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSolr  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridDatabase as a Service offering based on Apache CouchDBA widely used distributed, scalable search engine based on Apache LuceneHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelKey-value storeDocument storeSearch engineRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score2.75
Rank#104  Overall
#19  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitehazelcast.comwww.ibm.com/­products/­cloudantsolr.apache.orgwww.yugabyte.com
Technical documentationhazelcast.org/­imdg/­docscloud.ibm.com/­docs/­Cloudantsolr.apache.org/­resources.htmldocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperHazelcastIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software FoundationYugabyte Inc.
Initial release2008201020062017
Current release5.3.6, November 20239.6.1, May 20242.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaErlangJavaC and C++
Server operating systemsAll OS with a Java VMhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Data schemeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsdepending on used data model
Typing infopredefined data types such as float or dateyesnoyes 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.yes infothe object must implement a serialization strategynoyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languagenoSolr Parallel SQL Interfaceyes, PostgreSQL compatible
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesView functions (Map-Reduce) in JavaScriptJava pluginsyes infosql, plpgsql, C
Triggersyes infoEventsyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-source replication
Source-replica replication
yesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyEventual ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedno infoatomic operations within a document possibleoptimistic lockingDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlRole-based access controlAccess rights for users can be defined per databaseyesyes
More information provided by the system vendor
HazelcastIBM CloudantSolrYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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HazelcastIBM CloudantSolrYugabyteDB
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