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DBMS > Amazon DocumentDB vs. Firebase Realtime Database vs. Hive vs. Titan

System Properties Comparison Amazon DocumentDB vs. Firebase Realtime Database vs. Hive vs. Titan

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHive  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.data warehouse software for querying and managing large distributed datasets, built on HadoopTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument storeDocument storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score14.29
Rank#39  Overall
#6  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­documentdbfirebase.google.com/­products/­realtime-databasehive.apache.orggithub.com/­thinkaurelius/­titan
Technical documentationaws.amazon.com/­documentdb/­resourcesfirebase.google.com/­docs/­databasecwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­thinkaurelius/­titan/­wiki
DeveloperGoogle infoacquired by Google 2014Apache Software Foundation infoinitially developed by FacebookAurelius, owned by DataStax
Initial release2019201220122012
Current release3.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedhostedAll OS with a Java VMLinux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
JavaScript
Objective-C
C++
Java
PHP
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes infouser defined functions and integration of map-reduceyes
TriggersnoCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infoquery execution via MapReduceyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
User concepts infoAccess controlAccess rights for users and rolesyes, based on authentication and database rulesAccess rights for users, groups and rolesUser authentification and security via Rexster Graph Server

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More resources
Amazon DocumentDBFirebase Realtime DatabaseHiveTitan
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