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DBMS > Apache Impala vs. DataFS vs. Firebase Realtime Database vs. RRDtool

System Properties Comparison Apache Impala vs. DataFS vs. Firebase Realtime Database vs. RRDtool

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDataFS  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelRelational DBMSObject oriented DBMSDocument storeTime Series DBMS
Secondary database modelsDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websiteimpala.apache.orgnewdatabase.comfirebase.google.com/­products/­realtime-databaseoss.oetiker.ch/­rrdtool
Technical documentationimpala.apache.org/­impala-docs.htmldev.mobiland.com/­Overview.xspfirebase.google.com/­docs/­databaseoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMobiland AGGoogle infoacquired by Google 2014Tobias Oetiker
Initial release2013201820121999
Current release4.1.0, June 20221.1.263, October 20221.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxWindowshostedHP-UX
Linux
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infoExporting into and restoring from XML files possible
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
.NET Client API
Proprietary client DLL
WinRT client
Android
iOS
JavaScript API
RESTful HTTP API
in-process shared library
Pipes
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
VB.Net
Java
JavaScript
Objective-C
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducelimited functionality with using 'rules'no
Triggersnono, except callback-events from server when changes happenedCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
none
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
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 KerberosWindows-Profileyes, based on authentication and database rulesno

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More resources
Apache ImpalaDataFSFirebase Realtime DatabaseRRDtool
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