DBMS > AllegroGraph vs. ArangoDB vs. Neo4j vs. Solr vs. Titan
System Properties Comparison AllegroGraph vs. ArangoDB vs. Neo4j vs. Solr vs. Titan
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Name | AllegroGraph Xexclude from comparison | ArangoDB Xexclude from comparison | Neo4j Xexclude from comparison | Solr Xexclude from comparison | Titan Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | High performance, persistent RDF store with additional support for Graph DBMS | Native multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language. | Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings | A widely used distributed, scalable search engine based on Apache Lucene | Titan is a Graph DBMS optimized for distributed clusters. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store with version 6.5 Graph DBMS RDF store Vector DBMS | Document store Graph DBMS Key-value store Search engine | Graph DBMS | Search engine | Graph DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Spatial DBMS | Spatial DBMS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | allegrograph.com | arangodb.com | neo4j.com | solr.apache.org | github.com/thinkaurelius/titan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | franz.com/agraph/support/documentation/current/agraph-introduction.html | docs.arangodb.com | neo4j.com/docs | solr.apache.org/resources.html | github.com/thinkaurelius/titan/wiki | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Developer | Franz Inc. | ArangoDB Inc. | Neo4j, Inc. | Apache Software Foundation | Aurelius, owned by DataStax | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2004 | 2012 | 2007 | 2006 | 2012 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 8.0, December 2023 | 3.11.5, November 2023 | 5.20, May 2024 | 9.6.1, May 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | commercial Limited community edition free | Open Source Apache Version 2; Commercial license (Enterprise) available | Open Source GPL version3, commercial licenses available | Open Source Apache Version 2 | Open Source Apache license, version 2.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour. | Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | C++ | Java, Scala | Java | Java | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux OS X Windows | Linux OS X Windows | Linux Can also be used server-less as embedded Java database. OS X Solaris Windows | All OS with a Java VM runs as a servlet in servlet container (e.g. Tomcat, Jetty is included) | Linux OS X Unix Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | yes RDF schemas | schema-free automatically recognizes schema within a collection | schema-free and schema-optional | yes Dynamic Fields enables on-the-fly addition of new fields | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes string, double, boolean, list, hash | yes | yes supports customizable data types and automatic typing | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no bulk load of XML files possible | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | yes pluggable indexing subsystem, by default Apache Lucene | yes All search fields are automatically indexed | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | SPARQL is used as query language | no | no | Solr Parallel SQL Interface | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | RESTful HTTP API SPARQL | AQL Foxx Framework Graph API (Gremlin) GraphQL query language HTTP API Java & SpringData JSON style queries VelocyPack/VelocyStream | Bolt protocol Cypher query language Java API Neo4j-OGM Object Graph Mapper RESTful HTTP API Spring Data Neo4j TinkerPop 3 | Java API RESTful HTTP/JSON API | Java API TinkerPop Blueprints TinkerPop Frames TinkerPop Gremlin TinkerPop Rexster | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C# Clojure Java Lisp Perl Python Ruby Scala | C# C++ Clojure Elixir Go Java JavaScript (Node.js) PHP Python R Rust | .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 | Clojure Java Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | yes JavaScript or Common Lisp | JavaScript | yes User defined Procedures and Functions | Java plugins | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes | no | yes via event handler | yes User configurable commands triggered on index changes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | with Federation | Sharding since version 2.0 | yes using Neo4j Fabric | Sharding | yes via pluggable storage backends | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication Source-replica replication | Source-replica replication with configurable replication factor | Causal Clustering using Raft protocol available in in Enterprise Version only | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | no can be done with stored procedures in JavaScript | no | spark-solr: github.com/lucidworks/spark-solr and streaming expressions to reduce | yes via Faunus, a graph analytics engine | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency or Eventual Consistency depending on configuration | Eventual Consistency configurable per collection or per write Immediate Consistency OneShard (highly available, fault-tolerant deployment mode with ACID semantics) | Causal and Eventual Consistency configurable in Causal Cluster setup Immediate Consistency in stand-alone mode | Eventual Consistency | Eventual Consistency Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | yes relationships in graphs | yes Relationships in graphs | no | yes Relationships in graph | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | ACID | ACID | optimistic locking | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes | yes Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Users with fine-grained authorization concept, user roles and pluggable authentication | yes | Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos) | yes | User authentification and security via Rexster Graph Server | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
AllegroGraph | ArangoDB | Neo4j | Solr | Titan | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | Knowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph... » more | Graph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading... » more | Neo4j delivers graph technology that has been battle tested for performance and scale... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | AllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and... » more | Consolidation: As a native multi-model database, can be used as a full blown document... » more | Neo4j is the market leader, graph database category creator, and the most widely... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | Native multi-model in ArangoDB is being used for a broad range of projects across... » more | Real-Time Recommendations Master Data Management Identity and Access Management Network... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,... » more | Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | ArangoDB is the leading native multi-model database with over 11,000 stargazers on... » more | Neo4j boasts the world's largest graph database ecosystem with more than 140 million... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | Very permissive Apache 2 License for Community Edition & commercial licenses are... » more | GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
News | How a Neuro-Symbolic AI Approach Can Improve Trust in AI Apps Can Neuro-Symbolic AI Solve AI’s Weaknesses? 100 Companies That Matter in KM – Franz Inc. Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar) What is Neuro-Symbolic AI? | Neo4j-Databricks Connector Delivers Deeper Insights, Faster GenAI Development This Week in Neo4j: Podcast, Testing, Knowledge Graph, GenAI and more Neo4j and Snowflake Bring Graph Data Science Into the AI Data Cloud RDF vs. Property Graphs: Choosing the Right Approach for Implementing a Knowledge Graph This Week in Neo4j: Importing Data, NODES, GenAI, Going Meta and more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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AllegroGraph | ArangoDB | Neo4j | Solr | Titan | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | The Weight of Relational Databases: Time for Multi-Model? | Applying Graph Analytics to Game of Thrones MySQL, PostgreSQL and Redis are the winners of the March ranking The openCypher Project: Help Shape the SQL for Graphs | Elasticsearch replaced Solr as the most popular search engine Enterprise Search Engines almost double their popularity in the last 12 months The DB-Engines ranking includes now search engines | Graph DBMS increased their popularity by 500% within the last 2 years Graph DBMSs are gaining in popularity faster than any other database category Build your own chatbot and talk to your own documents Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses? AI predictions for 2024 unveil exciting technological horizons Neuro-Symbolic AI: The Peak of Artificial Intelligence Franz Releases the First Neuro-Symbolic AI Platform Merging Knowledge Graphs, Generative AI, and Vector Storage provided by Google News ArangoGraphML: Simplifying the Power of Graph Machine Learning How to Build Knowledge Graph Enhanced Chatbot with ChatGPT and ArangoDB ArangoDB brings yet more money into graph database market with $27.8M round Open source graph database company ArangoDB raises $27.8M ArangoDB expands scope of graph database platform provided by Google News Neo4j employs knowledge graphs as part of the AI stack Neo4j graph analytics integrated with Snowflake's AI cloud – Blocks and Files Neo4j Announces Collaboration with Microsoft to Advance GenAI and Data Solutions USA - English - India - English Neo4j announces collaboration with Snowflake for advanced AI insights and predictive analytics – Intelligent CIO North ... Using Neo4j’s graph database for AI in Azure provided by Google News SOLR-led walkout demands better conditions for Compass workers Solr Network Launches Groundbreaking Solana Token Creator (SOLR) Proactive Strategies Have Insiders Been Buying Solar Alliance Energy Inc. (CVE:SOLR) Shares? SOLR hosts teach-in of labor movements at Northwestern provided by Google News Amazon DynamoDB Storage Backend for Titan: Distributed Graph Database | Amazon Web Services Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads JanusGraph Picks Up Where TitanDB Left Off DSE Graph review: Graph database does double duty Database Deep Dives: JanusGraph provided by Google News |
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