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DBMS > BigObject vs. Firebase Realtime Database vs. Geode vs. Riak KV

System Properties Comparison BigObject vs. Firebase Realtime Database vs. Geode vs. Riak KV

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGeode  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesDistributed, fault tolerant key-value store
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument storeKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitebigobject.iofirebase.google.com/­products/­realtime-databasegeode.apache.org
Technical documentationdocs.bigobject.iofirebase.google.com/­docs/­databasegeode.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperBigObject, Inc.Google infoacquired by Google 2014Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.OpenSource, formerly Basho Technologies
Initial release2015201220022009
Current release1.1, February 20173.2.0, December 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlang
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesyesyesnorestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (OQL)no
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesJava
JavaScript
Objective-C
.Net
All JVM based languages
C++
Groovy
Java
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresLualimited functionality with using 'rules'user defined functionsErlang
TriggersnoCallbacks are triggered when data changesyes infoCache Event Listenersyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesyes
User concepts infoAccess controlnoyes, based on authentication and database rulesAccess rights per client and object definableyes, using Riak Security

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BigObjectFirebase Realtime DatabaseGeodeRiak KV
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