DBMS > AnzoGraph DB vs. Neo4j vs. VoltDB
System Properties Comparison AnzoGraph DB vs. Neo4j vs. VoltDB
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|Editorial information provided by DB-Engines|
|Name||AnzoGraph DB Xexclude from comparison||Neo4j Xexclude from comparison||VoltDB Xexclude from comparison|
|Description||Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization||Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings||Distributed In-Memory NewSQL RDBMS Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory|
|Primary database model||Graph DBMS|
|Graph DBMS||Relational DBMS|
|Developer||Cambridge Semantics||Neo4j, Inc.||VoltDB Inc.|
|Current release||2.3, January 2021||5.8, May 2023||11.3, April 2022|
|License Commercial or Open Source||commercial free trial version available||Open Source GPL version3, commercial licenses available||Open Source AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database 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 language||Java, Scala||Java, C++|
|Server operating systems||Linux||Linux Can also be used server-less as embedded Java database.|
OS X for development
|Data scheme||Schema-free and OWL/RDFS-schema support||schema-free and schema-optional||yes|
|Typing predefined data types such as float or date||yes||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|
|Secondary indexes||no||yes pluggable indexing subsystem, by default Apache Lucene||yes|
|SQL Support of SQL||SPARQL and SPARQL* as primary query language. Cypher preview.||no||yes only a subset of SQL 99|
|APIs and other access methods||Apache Mule|
OData access for BI tools
RESTful HTTP API
Cypher query language
Neo4j-OGM Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
RESTful HTTP/JSON API
|Supported programming languages||C++|
Erlang not officially supported
|Server-side scripts Stored procedures||user defined functions and aggregates||yes User defined Procedures and Functions||Java|
|Triggers||no||yes via event handler||no|
|Partitioning methods Methods for storing different data on different nodes||Automatic sharding||yes using Neo4j Fabric||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication in MPP-Cluster||Causal Clustering using Raft protocol available in in Enterprise Version only||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||Kerberos/HDFS data loading||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency in MPP-Cluster||Causal and Eventual Consistency configurable in Causal Cluster setup|
Immediate Consistency in stand-alone mode
|Foreign keys Referential integrity||no not needed in graphs||yes Relationships in graphs||no FOREIGN KEY constraints are not supported|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID Transactions are executed single-threaded within stored procedures|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes Data access is serialized by the server|
|Durability Support for making data persistent||yes||yes||yes Snapshots and command logging|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes|
|User concepts Access control||Access rights for users and roles||Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)||Users and roles with access to stored procedures|
|More information provided by the system vendor|
|Specific characteristics||Neo4j delivers graph technology that has been battle tested for performance and scale...|
|Competitive advantages||Neo4j is the market leader, graph database category creator, and the most widely...|
|Typical application scenarios||Real-Time Recommendations Master Data Management Identity and Access Management Network...|
|Key customers||Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...|
|Market metrics||Neo4j boasts the world's largest graph database ecosystem with more than 140 million...|
|Licensing and pricing models||GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...|
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