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DBMS > Apache Impala vs. CouchDB vs. EventStoreDB vs. Firebase Realtime Database vs. OpenMLDB

System Properties Comparison Apache Impala vs. CouchDB vs. EventStoreDB vs. Firebase Realtime Database vs. OpenMLDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Industrial-strength, open-source database solution built from the ground up for event sourcing.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.An open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSDocument storeEvent StoreDocument storeTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score1.10
Rank#179  Overall
#1  Event Stores
Score14.29
Rank#39  Overall
#6  Document stores
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Websiteimpala.apache.orgcouchdb.apache.orgwww.eventstore.comfirebase.google.com/­products/­realtime-databaseopenmldb.ai
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stabledevelopers.eventstore.comfirebase.google.com/­docs/­databaseopenmldb.ai/­docs/­zh/­main
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerEvent Store LimitedGoogle infoacquired by Google 20144 Paradigm Inc.
Initial release20132005201220122020
Current release4.1.0, June 20223.3.3, December 202321.2, February 20212024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2Open SourcecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC++, Java, Scala
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
hostedLinux
Data schemeyesschema-freeschema-freeFixed schema
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
SQLAlchemy
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Java
JavaScript
Objective-C
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptlimited functionality with using 'rules'no
TriggersnoyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleyesno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databaseyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
Apache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"EventStoreDBFirebase Realtime DatabaseOpenMLDB
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