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DBMS > AnzoGraph DB vs. EsgynDB vs. Google Cloud Bigtable vs. Microsoft Azure SQL Database vs. Neo4j

System Properties Comparison AnzoGraph DB vs. EsgynDB vs. Google Cloud Bigtable vs. Microsoft Azure SQL Database vs. Neo4j

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Database as a Service offering with high compatibility to Microsoft SQL ServerScalable, 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
Relational DBMSKey-value store
Wide column store
Relational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#295  Overall
#24  Graph DBMS
#13  RDF stores
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score78.51
Rank#15  Overall
#10  Relational DBMS
Score44.36
Rank#23  Overall
#1  Graph DBMS
Websitecambridgesemantics.com/­anzographwww.esgyn.cncloud.google.com/­bigtableazure.microsoft.com/­en-us/­products/­azure-sql/­databaseneo4j.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcloud.google.com/­bigtable/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlneo4j.com/­docs
DeveloperCambridge SemanticsEsgynGoogleMicrosoftNeo4j, Inc.
Initial release20182015201520102007
Current release2.3, January 2021V125.18.1, March 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialcommercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
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++, JavaC++Java, Scala
Server operating systemsLinuxLinuxhostedhostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyes
Secondary indexesnoyesnoyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesnoyesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
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
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored ProceduresnoTransact SQLyes infoUser defined Procedures and Functions
Triggersnononoyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesyes, with always 3 replicas availableCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AnzoGraph DBEsgynDBGoogle Cloud BigtableMicrosoft Azure SQL Database infoformerly SQL AzureNeo4j
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

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26 March 2024

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This Week in Neo4j: GenAI, Python, SpringAI, PHP and more
9 March 2024

This Week in Neo4j: GraphAcademy, Algorithms, GenAI, Knowledge Graphs and more
2 March 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
AnzoGraph DBEsgynDBGoogle Cloud BigtableMicrosoft Azure SQL Database infoformerly SQL AzureNeo4j
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