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DBMS > Badger vs. Graph Engine vs. HEAVY.AI vs. Prometheus

System Properties Comparison Badger vs. Graph Engine vs. HEAVY.AI vs. Prometheus

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen-source Time Series DBMS and monitoring system
Primary database modelKey-value storeGraph DBMS
Key-value store
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.graphengine.iogithub.com/­heavyai/­heavydb
www.heavy.ai
prometheus.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.graphengine.io/­docs/­manualdocs.heavy.aiprometheus.io/­docs
DeveloperDGraph LabsMicrosoftHEAVY.AI, Inc.
Initial release2017201020162015
Current release5.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo.NET and CC++ and CUDAGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
.NETLinuxLinux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesNumeric 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.nononono infoImport of XML data possible
Secondary indexesnonono
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
Vega
RESTful HTTP/JSON API
Supported programming languagesGoC#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
BadgerGraph Engine infoformer name: TrinityHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Prometheus
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