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DBMS > Fauna vs. Google Cloud Bigtable vs. Graph Engine vs. Machbase Neo

System Properties Comparison Fauna vs. Google Cloud Bigtable vs. Graph Engine vs. Machbase Neo

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Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparison
DescriptionFauna 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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineTimeSeries DBMS for AIoT and BigData
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
Wide column store
Graph DBMS
Key-value store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Websitefauna.comcloud.google.com/­bigtablewww.graphengine.iomachbase.com
Technical documentationdocs.fauna.comcloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualmachbase.com/­dbms
DeveloperFauna, Inc.GoogleMicrosoftMachbase
Initial release2014201520102013
Current releaseV8.0, August 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT Licensecommercial infofree test version available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala.NET and CC
Server operating systemshostedhosted.NETLinux
macOS
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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
Secondary indexesyesnoyes
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infovolatile and lookup table
User concepts infoAccess controlIdentity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access control

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More resources
Fauna infopreviously named FaunaDBGoogle Cloud BigtableGraph Engine infoformer name: TrinityMachbase Neo infoFormer name was Infiniflux
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