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DBMS > Apache Impala vs. Citus vs. Firebase Realtime Database vs. jBASE vs. VelocityDB

System Properties Comparison Apache Impala vs. Citus vs. Firebase Realtime Database vs. jBASE vs. VelocityDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCitus  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonjBASE  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A robust multi-value DBMS comprising development tools and middlewareA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSDocument storeMultivalue DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websiteimpala.apache.orgwww.citusdata.comfirebase.google.com/­products/­realtime-databasewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasevelocitydb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.citusdata.comfirebase.google.com/­docs/­databasedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9velocitydb.com/­UserGuide
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogle infoacquired by Google 2014Rocket Software (formerly Zumasys)VelocityDB Inc
Initial release20132010201219912011
Current release4.1.0, June 20228.1, December 20185.77.x
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL, commercial license also availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC#
Server operating systemsLinuxLinuxhostedAIX
Linux
Windows
Any that supports .NET
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesoptionalyes
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.noyes infospecific XML type available, but no XML query functionalitynoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infostandard, with numerous extensionsnoEmbedded SQL for jBASE in BASICno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
.Net
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
JavaScript
Objective-C
.Net
Basic
Jabbascript
Java
.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.limited functionality with using 'rules'yesno
TriggersnoyesCallbacks are triggered when data changesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
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
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardyes, based on authentication and database rulesAccess rights can be defined down to the item levelBased on Windows Authentication

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More resources
Apache ImpalaCitusFirebase Realtime DatabasejBASEVelocityDB
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