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DBMS > Badger vs. GigaSpaces vs. Manticore Search vs. RethinkDB

System Properties Comparison Badger vs. GigaSpaces vs. Manticore Search vs. RethinkDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGigaSpaces  Xexclude from comparisonManticore Search  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsMulti-storage database for search, including full-text search.DBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Search engineDocument store
Secondary database modelsGraph DBMS
Search engine
Time Series DBMS infousing the Manticore Columnar LibrarySpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score2.66
Rank#107  Overall
#20  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.gigaspaces.commanticoresearch.comrethinkdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.gigaspaces.com/­latest/­landing.htmlmanual.manticoresearch.comrethinkdb.com/­docs
DeveloperDGraph LabsGigaspaces TechnologiesManticore SoftwareThe Linux Foundation infosince July 2017
Initial release2017200020172009
Current release15.5, September 20206.0, February 20232.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Solaris
Windows
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or datenoyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infostring, binary, float, bool, date, geometry
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.nono infoXML can be used for describing objects metadataCan index from XMLno
Secondary indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsSQL-like query languageno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo.Net
C++
Java
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersnoyes, event driven architecturenoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Synchronous replication based on Galera librarySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writesAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoRole-based access controlnoyes infousers and table-level permissions

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BadgerGigaSpacesManticore SearchRethinkDB
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