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DBMS > Badger vs. BoltDB vs. Brytlyt vs. HEAVY.AI vs. IRONdb

System Properties Comparison Badger vs. BoltDB vs. Brytlyt vs. HEAVY.AI vs. IRONdb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBoltDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An embedded key-value store for Go.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelKey-value storeKey-value storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­boltdb/­boltbrytlyt.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.circonus.com/solutions/time-series-database/
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iodocs.heavy.aidocs.circonus.com/irondb/category/getting-started
DeveloperDGraph LabsBrytlytHEAVY.AI, Inc.Circonus LLC.
Initial release20172013201620162017
Current release5.0, August 20235.10, January 2022V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT LicensecommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
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 languageGoGoC, C++ and CUDAC++ and CUDAC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
LinuxLinux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenonoyesyesyes infotext, numeric, histograms
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 infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnonoyesnono
SQL infoSupport of SQLnonoyesyesSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
Vega
HTTP API
Supported programming languagesGoGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonouser defined functions infoin PL/pgSQLnoyes, in Lua
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoRound robinAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationMulti-source replicationconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
BadgerBoltDBBrytlytHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IRONdb
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