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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Amazon Aurora vs. Apache Impala vs. Bangdb

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Amazon Aurora vs. Apache Impala vs. Bangdb

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonBangdb  Xexclude from comparison
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.MySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopConverged and high performance database for device data, events, time series, document and graph
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Secondary database modelsDocument storeDocument storeDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlaws.amazon.com/­rds/­auroraimpala.apache.orgbangdb.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmldocs.bangdb.com
DeveloperAlibabaAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaSachin Sinha, BangDB
Initial release201520132012
Current release4.1.0, June 2022BangDB 2.0, October 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoBSD 3
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++
Server operating systemshostedhostedLinuxLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes: string, long, double, int, geospatial, stream, events
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.yesyesnono
Secondary indexesyesyesyesyes infosecondary, composite, nested, reverse, geospatial
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsSQL like support with command line tool
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC#
Java
PHP
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/ODBCC
C#
C++
Java
Python
Server-side scripts infoStored proceduresyesyesyes infouser defined functions and integration of map-reduceno
Triggersyesyesnoyes, Notifications (with Streaming only)
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationselectable replication factorselectable replication factor, Knob for CAP (enterprise version only)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyTunable consistency, set CAP knob accordingly
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, optimistic concurrency control
Durability infoSupport for making data persistentyesyesyesyes, implements WAL (Write ahead log) as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes, run db with in-memory only mode
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes (enterprise version only)
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLAmazon AuroraApache ImpalaBangdb
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more

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More resources
Alibaba Cloud AnalyticDB for MySQLAmazon AuroraApache ImpalaBangdb
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