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DBMS > Badger vs. Databricks vs. Newts vs. Prometheus

System Properties Comparison Badger vs. Databricks vs. Newts vs. Prometheus

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonNewts  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Time Series DBMS based on CassandraOpen-source Time Series DBMS and monitoring system
Primary database modelKey-value storeDocument store
Relational DBMS
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.databricks.comopennms.github.io/­newtsprometheus.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comgithub.com/­OpenNMS/­newts/­wikiprometheus.io/­docs
DeveloperDGraph LabsDatabricksOpenNMS Group
Initial release2017201320142015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Linux
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or datenoyesNumeric data only
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.noyesnono infoImport of XML data possible
Secondary indexesnoyesnono
SQL infoSupport of SQLnowith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
RESTful HTTP/JSON API
Supported programming languagesGoPython
R
Scala
Java.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor infobased on Cassandrayes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integritynonono
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.nononono
User concepts infoAccess controlnonono
More information provided by the system vendor
BadgerDatabricksNewtsPrometheus
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BadgerDatabricksNewtsPrometheus
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