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DBMS > Badger vs. Datomic vs. Hypertable vs. Oracle Berkeley DB

System Properties Comparison Badger vs. Datomic vs. Hypertable vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as HadoopWidely used in-process key-value store
Primary database modelKey-value storeRelational DBMSWide column storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperDGraph LabsCognitectHypertable Inc.Oracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2017201220091994
Current release1.0.6735, June 20230.9.8.11, March 201618.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availableOpen Source infocommercial license available
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 languageGoJava, ClojureC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnono
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 infoonly with the Berkeley DB XML edition
Secondary indexesnoyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnononoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
Supported programming languagesGoClojure
Java
C++
Java
Perl
PHP
Python
Ruby
.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 proceduresnoyes infoTransaction Functionsnono
TriggersnoBy using transaction functionsnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlnononono

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More resources
BadgerDatomicHypertableOracle Berkeley DB
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