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DBMS > Badger vs. Hazelcast vs. Lovefield vs. mSQL vs. RavenDB

System Properties Comparison Badger vs. Hazelcast vs. Lovefield vs. mSQL vs. RavenDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHazelcast  Xexclude from comparisonLovefield  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A widely adopted in-memory data gridEmbeddable relational database for web apps written in pure JavaScriptmSQL (Mini SQL) is a simple and lightweight RDBMSOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value storeKey-value storeRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitegithub.com/­dgraph-io/­badgerhazelcast.comgoogle.github.io/­lovefieldhughestech.com.au/­products/­msqlravendb.net
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerhazelcast.org/­imdg/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdravendb.net/­docs
DeveloperDGraph LabsHazelcastGoogleHughes TechnologiesHibernating Rhinos
Initial release20172008201419942010
Current release5.3.6, November 20232.1.12, February 20174.4, October 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial infofree licenses can be providedOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaScriptCC#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.noyes infothe object must implement a serialization strategynono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language infovia JavaScript builder patternA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (RQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGo.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScriptC
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesnonoyes
Triggersnoyes infoEventsUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated MapnonenoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmnoneDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDBno
User concepts infoAccess controlnoRole-based access controlnonoAuthorization levels configured per client per database

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More resources
BadgerHazelcastLovefieldmSQL infoMini SQLRavenDB
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