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DBMS > BigchainDB vs. FoundationDB vs. Heroic vs. Hive vs. RRDtool

System Properties Comparison BigchainDB vs. FoundationDB vs. Heroic vs. Hive vs. RRDtool

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonHeroic  Xexclude from comparisonHive  Xexclude from comparisonRRDtool  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsOrdered key-value store. Core features are complimented by layers.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchdata warehouse software for querying and managing large distributed datasets, built on HadoopIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelDocument storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitewww.bigchaindb.comgithub.com/­apple/­foundationdbgithub.com/­spotify/­heroichive.apache.orgoss.oetiker.ch/­rrdtool
Technical documentationbigchaindb.readthedocs.io/­en/­latestapple.github.io/­foundationdbspotify.github.io/­heroiccwiki.apache.org/­confluence/­display/­Hive/­Homeoss.oetiker.ch/­rrdtool/­doc
DeveloperFoundationDBSpotifyApache Software Foundation infoinitially developed by FacebookTobias Oetiker
Initial release20162013201420121999
Current release6.2.28, November 20203.1.3, April 20221.8.0, 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++JavaJavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxLinux
OS X
Windows
All OS with a Java VMHP-UX
Linux
Data schemeschema-freeschema-free infosome layers support schemasschema-freeyesyes
Typing infopredefined data types such as float or datenono infosome layers support typingyesyesNumeric data only
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 infoExporting into and restoring from XML files possible
Secondary indexesnoyes infovia Elasticsearchyesno
SQL infoSupport of SQLnosupported in specific SQL layer onlynoSQL-like DML and DDL statementsno
APIs and other access methodsCLI Client
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Thrift
in-process shared library
Pipes
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
PHP
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlynoyes infouser defined functions and integration of map-reduceno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency
Immediate Consistency
Eventual Consistencynone
Foreign keys infoReferential integritynoin SQL-layer onlynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesnoAccess rights for users, groups and rolesno

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More resources
BigchainDBFoundationDBHeroicHiveRRDtool
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