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DBMS > BigchainDB vs. BoltDB vs. Drizzle vs. Heroic vs. OpenQM

System Properties Comparison BigchainDB vs. BoltDB vs. Drizzle vs. Heroic vs. OpenQM

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonHeroic  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAn embedded key-value store for Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelDocument storeKey-value storeRelational DBMSTime Series DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitewww.bigchaindb.comgithub.com/­boltdb/­boltgithub.com/­spotify/­heroicwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationbigchaindb.readthedocs.io/­en/­latestspotify.github.io/­heroic
DeveloperDrizzle project, originally started by Brian AkerSpotifyRocket Software, originally Martin Phillips
Initial release20162013200820141993
Current release7.2.4, September 20123.4-12
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoMIT LicenseOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonGoC++Java
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeyes infowith some exceptions
Typing infopredefined data types such as float or datenonoyesyes
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.nononoyes
Secondary indexesnoyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnonoyes infowith proprietary extensionsnono
APIs and other access methodsCLI Client
RESTful HTTP API
JDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
GoC
C++
Java
PHP
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnono infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nono
User concepts infoAccess controlyesnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights can be defined down to the item level

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More resources
BigchainDBBoltDBDrizzleHeroicOpenQM infoalso called QM
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