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DBMS > Badger vs. Hypertable vs. LeanXcale

System Properties Comparison Badger vs. Hypertable vs. LeanXcale

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHypertable  Xexclude from comparisonLeanXcale  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.An open source BigTable implementation based on distributed file systems such as HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelKey-value storeWide column storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.leanxcale.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badger
DeveloperDGraph LabsHypertable Inc.LeanXcale
Initial release201720092015
Current release0.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenono
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.no
Secondary indexesnorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnonoyes infothrough Apache Derby
APIs and other access methodsC++ API
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesGoC++
Java
Perl
PHP
Python
Ruby
C
Java
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnono

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More resources
BadgerHypertableLeanXcale
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