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DBMS > Ignite vs. Neo4j vs. Solr vs. TinkerGraph

System Properties Comparison Ignite vs. Neo4j vs. Solr vs. TinkerGraph

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonNeo4j  Xexclude from comparisonSolr  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Scalable, 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 LuceneA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Relational DBMS
Graph DBMSSearch engineGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Score0.12
Rank#344  Overall
#34  Graph DBMS
Websiteignite.apache.orgneo4j.comsolr.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationapacheignite.readme.io/­docsneo4j.com/­docssolr.apache.org/­resources.html
DeveloperApache Software FoundationNeo4j, Inc.Apache Software Foundation
Initial release2015200720062009
Current releaseApache Ignite 2.65.18.1, March 20249.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC++, Java, .NetJava, ScalaJavaJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux 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-free and schema-optionalyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.yesyesno
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSolr Parallel SQL Interfaceno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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
TinkerPop 3
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
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
Groovy
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoUser defined Procedures and FunctionsJava pluginsno
Triggersyes (cache interceptors and events)yes infovia event handleryes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistencynone
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yesno
More information provided by the system vendor
IgniteNeo4jSolrTinkerGraph
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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