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

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

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIngres  Xexclude from comparisonLovefield  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWell established RDBMSEmbeddable relational database for web apps written in pure JavaScriptWidely 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
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­databases/­ingresgoogle.github.io/­lovefieldwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.heavy.aidocs.actian.com/­ingresgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperDGraph LabsHEAVY.AI, Inc.Actian CorporationGoogleOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201720161974 infooriginally developed at University Berkely in early 1970s20141994
Current release5.10, January 202211.2, May 20222.1.12, February 201718.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoApache 2.0Open Source infocommercial license available
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 languageGoC++ and CUDACJavaScriptC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
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 availablenoyes infoonly with the Berkeley DB XML edition
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language infovia JavaScript builder patternyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesGoAll languages supporting JDBC/ODBC/Thrift
Python
JavaScript.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 proceduresnonoyesnono
TriggersnonoyesUsing read-only observersyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneouslynonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationIngres ReplicatornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infousing MemoryDByes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnono

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