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DBMS > Firebird vs. GBase vs. Google Cloud Bigtable vs. LeanXcale vs. Vitess

System Properties Comparison Firebird vs. GBase vs. Google Cloud Bigtable vs. LeanXcale vs. Vitess

Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLeanXcale  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.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 highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.firebirdsql.orgwww.gbase.cncloud.google.com/­bigtablewww.leanxcale.comvitess.io
Technical documentationwww.firebirdsql.org/­en/­reference-manualscloud.google.com/­bigtable/­docsvitess.io/­docs
DeveloperFirebird FoundationGeneral Data Technology Co., Ltd.GoogleLeanXcaleThe Linux Foundation, PlanetScale
Initial release2000 infoAs fork of Borland's InterBase2004201520152013
Current release5.0.0, January 2024GBase 8a, GBase 8s, GBase 8c15.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicensecommercialcommercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C, Java, PythonGo
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxhostedDocker
Linux
macOS
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesStandard with numerous extensionsnoyes infothrough Apache Derbyyes infowith proprietary extensions
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#C#
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresPSQLuser defined functionsnoyes infoproprietary syntax
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyesyes infotable locks or row locks depending on storage engine
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.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or roles

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More resources
FirebirdGBaseGoogle Cloud BigtableLeanXcaleVitess
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