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DBMS > Apache Impala vs. GBase vs. Graphite vs. Interbase

System Properties Comparison Apache Impala vs. GBase vs. Graphite vs. Interbase

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGBase  Xexclude from comparisonGraphite  Xexclude from comparisonInterbase  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperLight-weight proven RDBMS infooriginally from Borland
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score3.78
Rank#77  Overall
#41  Relational DBMS
Websiteimpala.apache.orgwww.gbase.cngithub.com/­graphite-project/­graphite-webwww.embarcadero.com/­products/­interbase
Technical documentationimpala.apache.org/­impala-docs.htmlgraphite.readthedocs.iodocs.embarcadero.com/­products/­interbase
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGeneral Data Technology Co., Ltd.Chris DavisEmbarcadero
Initial release2013200420061984
Current release4.1.0, June 2022GBase 8a, GBase 8s, GBase 8cInterBase 2020, December 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, PythonPythonC
Server operating systemsLinuxLinuxLinux
Unix
Android
iOS
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.noyesnono infoexport as XML data possible
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsStandard with numerous extensionsnoyes
APIs and other access methodsJDBC
ODBC
ADO.NET
C API
JDBC
ODBC
HTTP API
Sockets
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC#JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsnoyes infoInterbase procedure and trigger language
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnoneInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyes infoMultiversion concurreny control
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyesnofine grained access rights according to SQL-standard

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Apache ImpalaGBaseGraphiteInterbase
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