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DBMS > Badger vs. Databricks vs. EJDB vs. Oracle Coherence

System Properties Comparison Badger vs. Databricks vs. EJDB vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonEJDB  Xexclude from comparisonOracle Coherence  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)Oracles in-memory data grid solution
Primary database modelKey-value storeDocument store
Relational DBMS
Document storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitegithub.com/­dgraph-io/­badgerwww.databricks.comgithub.com/­Softmotions/­ejdbwww.oracle.com/­java/­coherence
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperDGraph LabsDatabricksSoftmotionsOracle
Initial release2017201320122007
Current release14.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPLv2commercial
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-lessAll OS with a Java VM
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 libraryJCache
JPA
RESTful HTTP API
Supported programming languagesGoPython
R
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnono
Triggersnonoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnoneyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
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 datanoACIDnoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnonoauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
BadgerDatabricksEJDBOracle Coherence
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
BadgerDatabricksEJDBOracle Coherence
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