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DBMS > Badger vs. EsgynDB vs. Hypertable vs. Rockset

System Properties Comparison Badger vs. EsgynDB vs. Hypertable vs. Rockset

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEsgynDB  Xexclude from comparisonHypertable  Xexclude from comparisonRockset  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source BigTable implementation based on distributed file systems such as HadoopA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value storeRelational DBMSWide column storeDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.esgyn.cnrockset.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.rockset.com
DeveloperDGraph LabsEsgynHypertable Inc.Rockset
Initial release2017201520092019
Current release0.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
hosted
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnodynamic typing
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 infoingestion from XML files supported
Secondary indexesnoyesrestricted infoonly exact value or prefix value scansall fields are automatically indexed
SQL infoSupport of SQLnoyesnoRead-only SQL queries, including JOINs
APIs and other access methodsADO.NET
JDBC
ODBC
C++ API
Thrift
HTTP REST
Supported programming languagesGoAll languages supporting JDBC/ODBC/ADO.NetC++
Java
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersselectable replication factor on file system levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoAccess rights for users and organizations can be defined via Rockset console

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More resources
BadgerEsgynDBHypertableRockset
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