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DBMS > Amazon Aurora vs. Apache Impala vs. BigchainDB vs. GBase

System Properties Comparison Amazon Aurora vs. Apache Impala vs. BigchainDB vs. GBase

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonBigchainDB  Xexclude from comparisonGBase  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.76
Rank#216  Overall
#36  Document stores
Score1.11
Rank#173  Overall
#78  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgwww.bigchaindb.comwww.gbase.cn
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmlbigchaindb.readthedocs.io/­en/­latest
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaGeneral Data Technology Co., Ltd.
Initial release2015201320162004
Current release4.1.0, June 2022GBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoAGPL v3commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++PythonC, Java, Python
Server operating systemshostedLinuxLinuxLinux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoStandard with numerous extensions
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
CLI Client
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
Supported programming languagesAda
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/ODBCGo
Haskell
Java
JavaScript
Python
Ruby
C#
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceuser defined functions
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyesyes

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More resources
Amazon AuroraApache ImpalaBigchainDBGBase
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