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DBMS > Apache Impala vs. Bangdb vs. MySQL vs. Trafodion

System Properties Comparison Apache Impala vs. Bangdb vs. MySQL vs. Trafodion

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBangdb  Xexclude from comparisonMySQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopConverged and high performance database for device data, events, time series, document and graphWidely used open source RDBMSTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument storeSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Websiteimpala.apache.orgbangdb.comwww.mysql.comtrafodion.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.bangdb.comdev.mysql.com/­doctrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSachin Sinha, BangDBOracle infosince 2010, originally MySQL AB, then SunApache Software Foundation, originally developed by HP
Initial release2013201219952014
Current release4.1.0, June 2022BangDB 2.0, October 20218.4.0, April 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD 3Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C and C++C++, Java
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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.nonoyesno
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL like support with command line toolyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoproprietary syntaxJava Stored Procedures
Triggersnoyes, Notifications (with Streaming only)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes (enterprise version only)Users with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
Apache ImpalaBangdbMySQLTrafodion
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