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DBMS > Badger vs. OpenTSDB vs. WakandaDB vs. Yaacomo

System Properties Comparison Badger vs. OpenTSDB vs. WakandaDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonOpenTSDB  Xexclude from comparisonWakandaDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable Time Series DBMS based on HBaseWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeTime Series DBMSObject oriented DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgeropentsdb.netwakanda.github.ioyaacomo.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgeropentsdb.net/­docs/­build/­html/­index.htmlwakanda.github.io/­doc
DeveloperDGraph Labscurrently maintained by Yahoo and other contributorsWakanda SASQ2WEB GmbH
Initial release2017201120122009
Current release2.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoLGPLOpen Source infoAGPLv3, extended commercial license availablecommercial
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++, JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Android
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonumeric data for metrics, strings for tagsyesyes
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
Secondary indexesnonoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsHTTP API
Telnet API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesGoErlang
Go
Java
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on HBasenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on HBasenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infobased on HBaseImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.nononoyes
User concepts infoAccess controlnonoyesfine grained access rights according to SQL-standard

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More resources
BadgerOpenTSDBWakandaDBYaacomo
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
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