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DBMS > Badger vs. Firebolt vs. HEAVY.AI vs. Ingres vs. Oracle Berkeley DB

System Properties Comparison Badger vs. Firebolt vs. HEAVY.AI vs. Ingres vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFirebolt  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIngres  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWell established RDBMSWidely used in-process key-value store
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
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
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitegithub.com/­dgraph-io/­badgerwww.firebolt.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­databases/­ingreswww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.firebolt.iodocs.heavy.aidocs.actian.com/­ingresdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperDGraph LabsFirebolt Analytics Inc.HEAVY.AI, Inc.Actian CorporationOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2017202020161974 infooriginally developed at University Berkely in early 1970s1994
Current release5.10, January 202211.2, May 202218.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ and CUDACC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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 infobut tools for importing/exporting data from/to XML-files availableyes infoonly with the Berkeley DB XML edition
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyesyesyesyes infoSQL interfaced based on SQLite is available
APIs and other access methods.Net
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesGoGo
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnononoyesno
Triggersnononoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerMulti-source replicationIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC
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.noyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
BadgerFireboltHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IngresOracle Berkeley DB
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