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DBMS > EXASOL vs. Firebird vs. FoundationDB vs. Google Cloud Datastore vs. SWC-DB

System Properties Comparison EXASOL vs. Firebird vs. FoundationDB vs. Google Cloud Datastore vs. SWC-DB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFirebird  Xexclude from comparisonFoundationDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Firebird is an open source RDBMS forked from Borland's InterBaseOrdered key-value store. Core features are complimented by layers.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.exasol.comwww.firebirdsql.orggithub.com/­apple/­foundationdbcloud.google.com/­datastoregithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.exasol.com/­resourceswww.firebirdsql.org/­en/­reference-manualsapple.github.io/­foundationdbcloud.google.com/­datastore/­docs
DeveloperExasolFirebird FoundationFoundationDBGoogleAlex Kashirin
Initial release20002000 infoAs fork of Borland's InterBase201320082020
Current release5.0.0, January 20246.2.28, November 20200.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Windows
hostedLinux
Data schemeyesyesschema-free infosome layers support schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyes, details here
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyessupported in specific SQL layer onlySQL-like query language (GQL)SQL-like query language
APIs and other access methods.Net
JDBC
ODBC
WebSocket
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary protocol
Thrift
Supported programming languagesJava
Lua
Python
R
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Server-side scripts infoStored proceduresuser defined functionsPSQLin SQL-layer onlyusing Google App Engineno
TriggersyesyesnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyesyesin SQL-layer onlyyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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.yesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization conceptnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
EXASOLFirebirdFoundationDBGoogle Cloud DatastoreSWC-DB infoSuper Wide Column Database
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