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DBMS > Badger vs. Databricks vs. FoundationDB vs. Hawkular Metrics

System Properties Comparison Badger vs. Databricks vs. FoundationDB vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonFoundationDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
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.Ordered key-value store. Core features are complimented by layers.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelKey-value storeDocument store
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.databricks.comgithub.com/­apple/­foundationdbwww.hawkular.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comapple.github.io/­foundationdbwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperDGraph LabsDatabricksFoundationDBCommunity supported by Red Hat
Initial release2017201320132014
Current release6.2.28, November 2020
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

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Implementation languageGoC++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or datenono infosome layers support typingyes
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.noyesno
Secondary indexesnoyesnono
SQL infoSupport of SQLnowith Databricks SQLsupported in specific SQL layer onlyno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesGoPython
R
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesin SQL-layer onlyno
Triggersnonoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyLinearizable consistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.nonono
User concepts infoAccess controlnonono
More information provided by the system vendor
BadgerDatabricksFoundationDBHawkular Metrics
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BadgerDatabricksFoundationDBHawkular Metrics
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