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DBMS > Badger vs. Databricks vs. Hive vs. Newts vs. Quasardb

System Properties Comparison Badger vs. Databricks vs. Hive vs. Newts vs. Quasardb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonHive  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  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.data warehouse software for querying and managing large distributed datasets, built on HadoopTime Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelKey-value storeDocument store
Relational DBMS
Relational DBMSTime 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
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.databricks.comhive.apache.orgopennms.github.io/­newtsquasar.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperDGraph LabsDatabricksApache Software Foundation infoinitially developed by FacebookOpenNMS Groupquasardb
Initial release20172013201220142009
Current release3.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java VMLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyes infointeger and binary
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
Secondary indexesnoyesyesnoyes infowith tags
SQL infoSupport of SQLnowith Databricks SQLSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
HTTP REST
Java API
HTTP API
Supported programming languagesGoPython
R
Scala
C++
Java
PHP
Python
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes infouser defined functions and integration of map-reducenono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factorselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoTransient mode
User concepts infoAccess controlnoAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
BadgerDatabricksHiveNewtsQuasardb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BadgerDatabricksHiveNewtsQuasardb
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