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DBMS > BoltDB vs. Firebird vs. GeoSpock vs. Heroic

System Properties Comparison BoltDB vs. Firebird vs. GeoSpock vs. Heroic

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonFirebird  Xexclude from comparisonGeoSpock  Xexclude from comparisonHeroic  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.Firebird is an open source RDBMS forked from Borland's InterBaseSpatial and temporal data processing engine for extreme data scaleTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websitegithub.com/­boltdb/­boltwww.firebirdsql.orggeospock.comgithub.com/­spotify/­heroic
Technical documentationwww.firebirdsql.org/­en/­reference-manualsspotify.github.io/­heroic
DeveloperFirebird FoundationGeoSpockSpotify
Initial release20132000 infoAs fork of Borland's InterBase2014
Current release5.0.0, January 20242.0, September 2019
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++Java, JavascriptJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hosted
Data schemeschema-freeyesyesschema-free
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.nonono
Secondary indexesnoyestemporal, categoricalyes infovia Elasticsearch
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)no
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesGoC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoPSQLnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
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.nonono
User concepts infoAccess controlnoUsers with fine-grained authorization conceptAccess rights for users can be defined per table

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More resources
BoltDBFirebirdGeoSpockHeroic
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