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DBMS > Firebird vs. Google Cloud Bigtable vs. Hazelcast vs. TDSQL for MySQL

System Properties Comparison Firebird vs. Google Cloud Bigtable vs. Hazelcast vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A widely adopted in-memory data gridA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSKey-value store
Wide column store
Key-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.46
Rank#30  Overall
#18  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.96
Rank#192  Overall
#88  Relational DBMS
Websitewww.firebirdsql.orgcloud.google.com/­bigtablehazelcast.comwww.tencentcloud.com/­products/­dcdb
Technical documentationwww.firebirdsql.org/­en/­reference-manualscloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docswww.tencentcloud.com/­document/­product/­1042
DeveloperFirebird FoundationGoogleHazelcastTencent
Initial release2000 infoAs fork of Borland's InterBase201520082013
Current release5.0.1, August 20245.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedAll OS with a Java VMhosted
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like query languageyes
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresPSQLnoyes infoEvent Listeners, Executor Servicesyes
Triggersyesnoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated MapMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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.noyesno
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlUsers with fine-grained authorization concept

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More resources
FirebirdGoogle Cloud BigtableHazelcastTDSQL for MySQL
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