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DBMS > Fauna vs. Firebird vs. Google BigQuery vs. Ignite

System Properties Comparison Fauna vs. Firebird vs. Google BigQuery vs. Ignite

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Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonFirebird  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonIgnite  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.Firebird is an open source RDBMS forked from Borland's InterBaseLarge scale data warehouse service with append-only tablesApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.38
Rank#151  Overall
#27  Document stores
#12  Graph DBMS
#73  Relational DBMS
#10  Time Series DBMS
Score24.94
Rank#32  Overall
#19  Relational DBMS
Score50.03
Rank#24  Overall
#16  Relational DBMS
Score7.06
Rank#61  Overall
#7  Key-value stores
#35  Relational DBMS
Websitefauna.comwww.firebirdsql.orgcloud.google.com/­bigqueryignite.apache.org
Technical documentationdocs.fauna.comwww.firebirdsql.org/­en/­reference-manualscloud.google.com/­bigquery/­docsapacheignite.readme.io/­docs
DeveloperFauna, Inc.Firebird FoundationGoogleApache Software Foundation
Initial release20142000 infoAs fork of Borland's InterBase20102015
Current release4.0.1, December 2021Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and C++C++, Java, .Net
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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
SQL infoSupport of SQLnoyesyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsRESTful HTTP APIADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
RESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsPSQLuser defined functions infoin JavaScriptyes (compute grid and cache interceptors can be used instead)
Triggersnoyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone infoavailable via 3rd party productsyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.nonoyes
User concepts infoAccess controlIdentity management, authentication, and access controlUsers with fine-grained authorization conceptAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Security Hooks for custom implementations

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More resources
Fauna infopreviously named FaunaDBFirebirdGoogle BigQueryIgnite
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