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DBMS > Firebase Realtime Database vs. Google Cloud Spanner vs. Hive vs. Titan

System Properties Comparison Firebase Realtime Database vs. Google Cloud Spanner vs. Hive vs. Titan

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Spanner  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.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.data warehouse software for querying and managing large distributed datasets, built on HadoopTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument storeRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasecloud.google.com/­spannerhive.apache.orggithub.com/­thinkaurelius/­titan
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­spanner/­docscwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­thinkaurelius/­titan/­wiki
DeveloperGoogle infoacquired by Google 2014GoogleApache Software Foundation infoinitially developed by FacebookAurelius, owned by DataStax
Initial release2012201720122012
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-freeyesyesyes
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 SQLnoyes infoQuery statements complying to ANSI 2011SQL-like DML and DDL statementsno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
JavaScript (Node.js)
Python
C++
Java
PHP
Python
Clojure
Java
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyes infouser defined functions and integration of map-reduceyes
TriggersCallbacks are triggered when data changesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes infoquery execution via MapReduceyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesUser authentification and security via Rexster Graph Server

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More resources
Firebase Realtime DatabaseGoogle Cloud SpannerHiveTitan
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