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DBMS > Google Cloud Firestore vs. Neo4j vs. Stardog vs. Vertica

System Properties Comparison Google Cloud Firestore vs. Neo4j vs. Stardog vs. Vertica

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonNeo4j  Xexclude from comparisonStardog  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionCloud 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.Open source graph databaseEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoningColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument storeGraph DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.33
Rank#57  Overall
#9  Document stores
Score49.46
Rank#22  Overall
#1  Graph DBMS
Score0.76
Rank#168  Overall
#13  Graph DBMS
#7  RDF stores
Score22.51
Rank#29  Overall
#17  Relational DBMS
Websitefirebase.google.com/­products/­firestoreneo4j.comwww.stardog.comwww.vertica.com
Technical documentationfirebase.google.com/­docs/­firestoreneo4j.com/­docswww.stardog.com/­docswww.vertica.com/­documentation/­vertica
DeveloperGoogleNeo4j, Inc.Stardog-UnionVertica / Micro Focus infoprior to that Hewlett Packard
Initial release2017200720102005
Current release3.5.8, July 20196.2.3, July 2019Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaJava
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-free and schema-optionalschema-free and OWL/RDFS-schema supportyes infoUnstructured data can be stored in specific Flex-Tables
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.nono infoImport/export of XML data possibleyes
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infosupports real-time indexing in full-text and geospatialno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnonoSPARQL is used as query languageyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsAndroid
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
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Kafka
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infoUser defined Procedures and Functionsuser defined functions and aggregates, HTTP Server extensions in Javayes
Triggersyes, with Cloud Functionsyes infovia event handleryes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication in HA-ClusterMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess 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)Access rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Google Cloud FirestoreNeo4jStardogVertica infoVertica Analytics Platform
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more
Cost-based models and subscription-based models are available
» more
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
Google Cloud FirestoreNeo4jStardogVertica infoVertica Analytics Platform
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