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DBMS > Badger vs. BigObject vs. Hawkular Metrics vs. OrigoDB

System Properties Comparison Badger vs. BigObject vs. Hawkular Metrics vs. OrigoDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigObject  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Analytic DBMS for real-time computations and queriesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A fully ACID in-memory object graph database
Primary database modelKey-value storeRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgerbigobject.iowww.hawkular.orgorigodb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bigobject.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guideorigodb.com/­docs
DeveloperDGraph LabsBigObject, Inc.Community supported by Red HatRobert Friberg et al
Initial release2017201520142009 infounder the name LiveDB
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availableOpen Source infoApache 2.0Open Source
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 languageGoJavaC#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesUser defined using .NET types and collections
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.nononono infocan be achieved using .NET
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP REST.NET Client API
HTTP API
LINQ
Supported programming languagesGoGo
Java
Python
Ruby
.Net
Server-side scripts infoStored proceduresnoLuanoyes
Triggersnonoyes infovia Hawkular Alertingyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnononoRole based authorization

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More resources
BadgerBigObjectHawkular MetricsOrigoDB
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