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DBMS > AnzoGraph DB vs. Google Cloud Firestore vs. Neo4j vs. SingleStore vs. Stardog

System Properties Comparison AnzoGraph DB vs. Google Cloud Firestore vs. Neo4j vs. SingleStore vs. Stardog

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonNeo4j  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMS
RDF store
Document storeGraph DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector 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
Score9.97
Rank#47  Overall
#8  Document stores
Score44.36
Rank#23  Overall
#1  Graph DBMS
Score6.03
Rank#62  Overall
#35  Relational DBMS
Score2.03
Rank#136  Overall
#12  Graph DBMS
#6  RDF stores
Websitecambridgesemantics.com/­anzographfirebase.google.com/­products/­firestoreneo4j.comwww.singlestore.comwww.stardog.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmfirebase.google.com/­docs/­firestoreneo4j.com/­docsdocs.singlestore.comdocs.stardog.com
DeveloperCambridge SemanticsGoogleNeo4j, Inc.SingleStore Inc.Stardog-Union
Initial release20182017200720132010
Current release2.3, January 20215.18.1, March 20248.5, January 20247.3.0, May 2020
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoGPL version3, commercial licenses availablecommercial infofree developer edition availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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.SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJava, ScalaC++, GoJava
Server operating systemsLinuxhostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux info64 bit version requiredLinux
macOS
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-free and schema-optionalyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono infoImport/export of XML data possible
Secondary indexesnoyesyes infopluggable indexing subsystem, by default Apache Luceneyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoyes infobut no triggers and foreign keysYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC++
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes, Firebase Rules & Cloud Functionsyes infoUser defined Procedures and Functionsyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes, with Cloud Functionsyes infovia event handlernoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingyes using Neo4j FabricSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingUsing Cloud Dataflownono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityno infonot needed in graphsnoyes infoRelationships in graphsnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Fine grained access control via users, groups and rolesAccess rights for users and roles
More information provided by the system vendor
AnzoGraph DBGoogle Cloud FirestoreNeo4jSingleStore infoformer name was MemSQLStardog
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Customers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
F ree Tier and Enterprise Edition
» more
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