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DBMS > Apache Impala vs. Blazegraph vs. CouchDB vs. Firebase Realtime Database

System Properties Comparison Apache Impala vs. Blazegraph vs. CouchDB vs. Firebase Realtime Database

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBlazegraph  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionAnalytic DBMS for HadoopHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelRelational DBMSGraph DBMS
RDF store
Document storeDocument store
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.77
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score10.26
Rank#45  Overall
#7  Document stores
Score15.00
Rank#39  Overall
#6  Document stores
Websiteimpala.apache.orgblazegraph.comcouchdb.apache.orgfirebase.google.com/­products/­realtime-database
Technical documentationimpala.apache.org/­impala-docs.htmlwiki.blazegraph.comdocs.couchdb.org/­en/­stablefirebase.google.com/­docs/­database
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBlazegraphApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogle infoacquired by Google 2014
Initial release2013200620052012
Current release4.1.0, June 20222.1.5, March 20193.3.3, December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoextended commercial license availableOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaErlang
Server operating systemsLinuxLinux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hosted
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesnoyes
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.nonono
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSPARQL is used as query languagenono
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP/JSON APIAndroid
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesView functions in JavaScriptlimited functionality with using 'rules'
TriggersnonoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoimproved architecture with release 2.0
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a single document possibleyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyes
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users can be defined per databaseyes, based on authentication and database rules

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More resources
Apache ImpalaBlazegraphCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Firebase Realtime Database
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