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DBMS > CrateDB vs. Fauna vs. FoundationDB vs. Neo4j vs. Snowflake

System Properties Comparison CrateDB vs. Fauna vs. FoundationDB vs. Neo4j vs. Snowflake

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonNeo4j  Xexclude from comparisonSnowflake  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionDistributed Database based on LuceneFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Ordered key-value store. Core features are complimented by layers.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitecratedb.comfauna.comgithub.com/­apple/­foundationdbneo4j.comwww.snowflake.com
Technical documentationcratedb.com/­docsdocs.fauna.comapple.github.io/­foundationdbneo4j.com/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperCrateFauna, Inc.FoundationDBNeo4j, Inc.Snowflake Computing Inc.
Initial release20132014201320072014
Current release6.2.28, November 20205.20, May 2024
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJavaScalaC++Java, Scala
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supporthostedLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free infosome layers support schemasschema-free and schema-optionalyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesnono infosome layers support typingyesyes
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.nonoyes
Secondary indexesyesyesnoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynosupported in specific SQL layer onlynoyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
RESTful HTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
CLI Client
JDBC
ODBC
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)user defined functionsin SQL-layer onlyyes infoUser defined Procedures and Functionsuser defined functions
Triggersnononoyes infovia event handlerno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingShardingyes using Neo4j Fabricyes
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelMulti-source replicationyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyLinearizable consistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integritynoyesin SQL-layer onlyyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDACIDACID
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.nonono
User concepts infoAccess controlrights management via user accountsIdentity management, authentication, and access controlnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Users with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
CrateDBFauna infopreviously named FaunaDBFoundationDBNeo4jSnowflake
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Neo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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