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DBMS > Badger vs. Databricks vs. JaguarDB vs. Kyligence Enterprise

System Properties Comparison Badger vs. Databricks vs. JaguarDB vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonJaguarDB  Xexclude from comparisonKyligence Enterprise  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.Performant, highly scalable DBMS for AI and IoT applicationsA distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelKey-value storeDocument store
Relational DBMS
Key-value store
Vector DBMS
Relational 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
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.databricks.comwww.jaguardb.comkyligence.io/­kyligence-enterprise
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comwww.jaguardb.com/­support.html
DeveloperDGraph LabsDatabricksDataJaguar, Inc.Kyligence, Inc.
Initial release2017201320152016
Current release3.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL V3.0commercial
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 languageGoC++ infothe server part. Clients available in other languagesJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinuxLinux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnowith Databricks SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersANSI SQL for queries (using Apache Calcite)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGoPython
R
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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 controlnorights management via user accounts
More information provided by the system vendor
BadgerDatabricksJaguarDBKyligence Enterprise
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BadgerDatabricksJaguarDBKyligence Enterprise
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