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DBMS > EXASOL vs. Google Cloud Firestore vs. Neo4j vs. Snowflake vs. TerarkDB

System Properties Comparison EXASOL vs. Google Cloud Firestore vs. Neo4j vs. Snowflake vs. TerarkDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonNeo4j  Xexclude from comparisonSnowflake  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud 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 databaseCloud-based data warehousing service for structured and semi-structured dataA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSDocument storeGraph DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.24
Rank#91  Overall
#47  Relational DBMS
Score7.45
Rank#54  Overall
#9  Document stores
Score52.32
Rank#18  Overall
#1  Graph DBMS
Score23.19
Rank#30  Overall
#17  Relational DBMS
Score0.04
Rank#319  Overall
#50  Key-value stores
Websitewww.exasol.comfirebase.google.com/­products/­firestoreneo4j.comwww.snowflake.comgithub.com/­Terark/­terarkdb
Technical documentationwww.exasol.com/­resourcesfirebase.google.com/­docs/­firestoreneo4j.com/­docsdocs.snowflake.net/­manuals/­index.htmlgithub.com/­Terark/­terarkdb/­wiki
DeveloperExasolGoogleNeo4j, Inc.Snowflake Computing Inc.Terark
Initial release20002017200720142016
Current release4.2.3, January 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version3, commercial licenses availablecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaC++
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
hosted
Data schemeyesschema-freeschema-free and schema-optionalyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesno
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLyesnonoyesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
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
CLI Client
JDBC
ODBC
C++ API
Java API
Supported programming languagesJava
Lua
Python
R
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyes, Firebase Rules & Cloud Functionsyes infoUser defined Procedures and Functionsuser defined functionsno
Triggersyesyes, with Cloud Functionsyes infovia event handlerno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACIDno
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.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess 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)Users with fine-grained authorization concept, user roles and pluggable authenticationno
More information provided by the system vendor
EXASOLGoogle Cloud FirestoreNeo4jSnowflakeTerarkDB
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

This Week in Neo4j – Information Extraction Pipeline, Chakra UI Component Library, NODES 2021
27 February 2021

Graphs in China: 5-Minute Interview with Richard Wu & George Zhang
26 February 2021

Unearthing Historical Networks Using Neo4j and Archival Documents
25 February 2021

Top 10 Use Cases: Empowering Network and IT Operations Management
22 February 2021

This Week in Neo4j – Structured data embedded in web pages, Speaker Listener LPA, Neo4j at NASA
20 February 2021

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.

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More resources
EXASOLGoogle Cloud FirestoreNeo4jSnowflakeTerarkDB
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