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DBMS > Amazon SimpleDB vs. Apache Impala vs. GBase vs. Teradata Aster

System Properties Comparison Amazon SimpleDB vs. Apache Impala vs. GBase vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonGBase  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAnalytic DBMS for HadoopWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Platform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Websiteaws.amazon.com/­simpledbimpala.apache.orgwww.gbase.cn
Technical documentationdocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.html
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaGeneral Data Technology Co., Ltd.Teradata
Initial release2007201320042005
Current release4.1.0, June 2022GBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, Python
Server operating systemshostedLinuxLinuxLinux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoyesyesyes
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.noyesyes infoin Aster File Store
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsStandard with numerous extensionsyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
C API
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCC#C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functionsR packages
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosyesfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBApache ImpalaGBaseTeradata Aster
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