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DBMS > atoti vs. Badger vs. Hazelcast vs. Realm

System Properties Comparison atoti vs. Badger vs. Hazelcast vs. Realm

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBadger  Xexclude from comparisonHazelcast  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A widely adopted in-memory data gridA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelObject oriented DBMSKey-value storeKey-value storeDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score7.60
Rank#52  Overall
#9  Document stores
Websiteatoti.iogithub.com/­dgraph-io/­badgerhazelcast.comrealm.io
Technical documentationdocs.atoti.iogodoc.org/­github.com/­dgraph-io/­badgerhazelcast.org/­imdg/­docsrealm.io/­docs
DeveloperActiveViamDGraph LabsHazelcastRealm, acquired by MongoDB in May 2019
Initial release201720082014
Current release5.3.6, November 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyes
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.noyes infothe object must implement a serialization strategyno
Secondary indexesnoyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like query languageno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesGo.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresPythonnoyes infoEvent Listeners, Executor Servicesno inforuns within the applications so server-side scripts are unnecessary
Triggersnoyes infoEventsyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesnoyesyes infoIn-Memory realm
User concepts infoAccess controlnoRole-based access controlyes

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atotiBadgerHazelcastRealm
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