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DBMS > Badger vs. Databricks vs. EJDB vs. Newts

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonEJDB  Xexclude from comparisonNewts  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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Time Series DBMS based on Cassandra
Primary database modelKey-value storeDocument store
Relational DBMS
Document storeTime 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
Score0.30
Rank#294  Overall
#44  Document stores
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.databricks.comgithub.com/­Softmotions/­ejdbopennms.github.io/­newts
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgithub.com/­OpenNMS/­newts/­wiki
DeveloperDGraph LabsDatabricksSoftmotionsOpenNMS Group
Initial release2017201320122014
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPLv2Open 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 languageGoCJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedserver-lessLinux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyes
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 SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
in-process shared libraryHTTP REST
Java API
Supported programming languagesGoPython
R
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnoneselectable 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 ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyes
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
BadgerDatabricksEJDBNewts
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BadgerDatabricksEJDBNewts
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