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DBMS > Apache Kylin vs. Hazelcast vs. Neo4j vs. Solr

System Properties Comparison Apache Kylin vs. Hazelcast vs. Neo4j vs. Solr

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonHazelcast  Xexclude from comparisonNeo4j  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA widely adopted in-memory data gridScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value storeGraph DBMSSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitekylin.apache.orghazelcast.comneo4j.comsolr.apache.org
Technical documentationkylin.apache.org/­docshazelcast.org/­imdg/­docsneo4j.com/­docssolr.apache.org/­resources.html
DeveloperApache Software Foundation, originally contributed from eBay IncHazelcastNeo4j, Inc.Apache Software Foundation
Initial release2015200820072006
Current release3.1.0, July 20205.3.6, November 20235.20, May 20249.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJavaJavaJava, ScalaJava
Server operating systemsLinuxAll OS with a Java VMLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeschema-free and schema-optionalyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes 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.noyes infothe object must implement a serialization strategyyes
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infoAll search fields are automatically indexed
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languagenoSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesyes infoUser defined Procedures and FunctionsJava plugins
Triggersyes infoEventsyes infovia event handleryes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRole-based access controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes
More information provided by the system vendor
Apache KylinHazelcastNeo4jSolr
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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