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DBMS > Neo4j vs. Solr vs. VoltDB

System Properties Comparison Neo4j vs. Solr vs. VoltDB

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonSolr  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionScalable, 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 LuceneDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelGraph DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websiteneo4j.comsolr.apache.orgwww.voltdb.com
Technical documentationneo4j.com/­docssolr.apache.org/­resources.htmldocs.voltdb.com
DeveloperNeo4j, Inc.Apache Software FoundationVoltDB Inc.
Initial release200720062010
Current release5.19, April 20249.6.0, April 202411.3, April 2022
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono
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 languageJava, ScalaJavaJava, C++
Server operating systemsLinux 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)Linux
OS X infofor development
Data schemeschema-free and schema-optionalyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes 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
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSolr Parallel SQL Interfaceyes infoonly a subset of SQL 99
APIs and other access methodsBolt 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
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.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
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoUser defined Procedures and FunctionsJava pluginsJava
Triggersyes infovia event handleryes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j FabricShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yesUsers and roles with access to stored procedures
More information provided by the system vendor
Neo4jSolrVoltDB
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
News

Safeguarding Elections: How Graph Technology Powers Groundbreaking Research on Political Ads
13 May 2024

This Week in Neo4j: GraphRAG, Testcontainers, Metadata Management, App Dev and more
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Creating the GQL Database Language Standard
7 May 2024

This Week in Neo4j: GraphRAG, Knowledge Graphs, Open Source AI, GraphQL and more
4 May 2024

This Week in Neo4j: Nodes 2024, Data Modelling, Events, Knowledge Graphs and more
27 April 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Neo4jSolrVoltDB
DB-Engines blog posts

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2 July 2014, Paul Andlinger

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4 February 2013, Paul Andlinger

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