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DBMS > BoltDB vs. Faircom DB vs. Firebird vs. Ignite

System Properties Comparison BoltDB vs. Faircom DB vs. Firebird vs. Ignite

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonFirebird  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Firebird is an open source RDBMS forked from Borland's InterBaseApache 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 modelKey-value storeKey-value store
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.faircom.com/­products/­faircom-dbwww.firebirdsql.orgignite.apache.org
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.firebirdsql.org/­en/­reference-manualsapacheignite.readme.io/­docs
DeveloperFairCom CorporationFirebird FoundationApache Software Foundation
Initial release201319792000 infoAs fork of Borland's InterBase2015
Current releaseV12, November 20205.0.0, January 2024Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infoRestricted, free version availableOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoANSI C, C++C and C++C++, Java, .Net
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesyes
Typing infopredefined data types such as float or datenoyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGo.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++PSQLyes (compute grid and cache interceptors can be used instead)
Triggersnoyesyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replicationyes (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 systemnoneEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayestunable from ACID to Eventually ConsistentACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoFine grained access rights according to SQL-standard with additional protections for filesUsers with fine-grained authorization conceptSecurity Hooks for custom implementations

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More resources
BoltDBFaircom DB infoformerly c-treeACEFirebirdIgnite
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