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DBMS > Badger vs. Druid vs. MemSQL

System Properties Comparison Badger vs. Druid vs. MemSQL

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDruid  Xexclude from comparisonMemSQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Open-source analytics data store designed for OLAP queries on timeseries dataMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#289  Overall
#48  Key-value stores
Score2.17
Rank#118  Overall
#59  Relational DBMS
#7  Time Series DBMS
Score5.50
Rank#64  Overall
#35  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerdruid.apache.orgwww.memsql.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdruid.apache.org/­docs/­latest/­designdocs.memsql.com
DeveloperDGraph LabsMetamarkets Group and contributorsMemSQL Inc.
Initial release201720122013
Current release7.1.4, July 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache license v2commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MemSQL Helios: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageGoJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Linux info64 bit version required
Data schemeschema-freeyes infoschema-less columns are supportedyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoSQL support via Apache Calcite adapteryes, but no triggers and foreign keys
APIs and other access methodsJSON over HTTPJDBC
ODBC
Supported programming languagesGoClojure
JavaScript
PHP
Python
R
Ruby
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage enginesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency only within each node
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnono infoavailable via extensionsfine grained access rights according to SQL-standard

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More resources
BadgerDruidMemSQL
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