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DBMS > BoltDB vs. Firebolt vs. FoundationDB vs. HBase vs. RocksDB

System Properties Comparison BoltDB vs. Firebolt vs. FoundationDB vs. HBase vs. RocksDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonFirebolt  Xexclude from comparisonFoundationDB  Xexclude from comparisonHBase  Xexclude from comparisonRocksDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionAn embedded key-value store for Go.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseOrdered key-value store. Core features are complimented by layers.Wide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Wide column storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitegithub.com/­boltdb/­boltwww.firebolt.iogithub.com/­apple/­foundationdbhbase.apache.orgrocksdb.org
Technical documentationdocs.firebolt.ioapple.github.io/­foundationdbhbase.apache.org/­book.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperFirebolt Analytics Inc.FoundationDBApache Software Foundation infoApache top-level project, originally developed by PowersetFacebook, Inc.
Initial release20132020201320082013
Current release6.2.28, November 20202.3.4, January 20218.11.4, April 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++JavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeschema-freeyesschema-free infosome layers support schemasschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or datenoyesno infosome layers support typingoptions to bring your own types, AVROno
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 indexesnoyesnonono
SQL infoSupport of SQLnoyessupported in specific SQL layer onlynono
APIs and other access methods.Net
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
C++ API
Java API
Supported programming languagesGoGo
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnonoin SQL-layer onlyyes infoCoprocessors in Javano
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layeryesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDSingle row ACID (across millions of columns)yes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes
User concepts infoAccess controlnonoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
BoltDBFireboltFoundationDBHBaseRocksDB
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