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DBMS > Apache Impala vs. Firebase Realtime Database vs. Infobright vs. Kdb

System Properties Comparison Apache Impala vs. Firebase Realtime Database vs. Infobright vs. Kdb

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonInfobright  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendHigh performance Time Series DBMS
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websiteimpala.apache.orgfirebase.google.com/­products/­realtime-databaseignitetech.com/­softwarelibrary/­infobrightdbkx.com
Technical documentationimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­databasecode.kx.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogle infoacquired by Google 2014Ignite Technologies Inc.; formerly InfoBright Inc.Kx Systems, a division of First Derivatives plc
Initial release2013201220052000 infokdb was released 2000, kdb+ in 2003
Current release4.1.0, June 20223.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Cq
Server operating systemsLinuxhostedLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-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.nononoyes
Secondary indexesyesyesno infoKnowledge Grid Technology used insteadyes infotable attribute 'grouped'
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesSQL-like query language (q)
APIs and other access methodsJDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCJava
JavaScript
Objective-C
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducelimited functionality with using 'rules'nouser defined functions
TriggersnoCallbacks are triggered when data changesnoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes, based on authentication and database rulesfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesrights management via user accounts
More information provided by the system vendor
Apache ImpalaFirebase Realtime DatabaseInfobrightKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache ImpalaFirebase Realtime DatabaseInfobrightKdb
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