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DBMS > AnzoGraph DB vs. Hyprcubd vs. LevelDB vs. Neo4j

System Properties Comparison AnzoGraph DB vs. Hyprcubd vs. LevelDB vs. Neo4j

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonHyprcubd  Xexclude from comparisonLevelDB  Xexclude from comparisonNeo4j  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationServerless Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelGraph DBMS
RDF store
Time Series DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score2.33
Rank#111  Overall
#19  Key-value stores
Score42.68
Rank#21  Overall
#1  Graph DBMS
Websitecambridgesemantics.com/­anzographhyprcubd.com (offline)github.com/­google/­leveldbneo4j.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdneo4j.com/­docs
DeveloperCambridge SemanticsHyprcubd, Inc.GoogleNeo4j, Inc.
Initial release201820112007
Current release2.3, January 20211.23, February 20215.23, August 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoBSDOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageGoC++Java, Scala
Server operating systemsLinuxhostedIllumos
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringnoyes
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.nonono
Secondary indexesnononoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languagenono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
gRPC (https)Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC++
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes infoUser defined Procedures and Functions
Triggersnononoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusternoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolestoken accessnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AnzoGraph DBHyprcubdLevelDBNeo4j
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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