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DBMS > Amazon SimpleDB vs. Databend vs. GBase vs. HBase

System Properties Comparison Amazon SimpleDB vs. Databend vs. GBase vs. HBase

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDatabend  Xexclude from comparisonGBase  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelKey-value storeRelational DBMSRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Websiteaws.amazon.com/­simpledbgithub.com/­datafuselabs/­databend
www.databend.com
www.gbase.cnhbase.apache.org
Technical documentationdocs.aws.amazon.com/­simpledbdocs.databend.comhbase.apache.org/­book.html
DeveloperAmazonDatabend LabsGeneral Data Technology Co., Ltd.Apache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2007202120042008
Current release1.0.59, April 2023GBase 8a, GBase 8s, GBase 8c2.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC, Java, PythonJava
Server operating systemshostedhosted
Linux
macOS
LinuxLinux
Unix
Windows infousing Cygwin
Data schemeschema-freeyesyesschema-free, schema definition possible
Typing infopredefined data types such as float or datenoyesyesoptions to bring your own types, AVRO
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.noyesno
Secondary indexesyes infoAll columns are indexed automaticallynoyesno
SQL infoSupport of SQLnoyesStandard with numerous extensionsno
APIs and other access methodsRESTful HTTP APICLI Client
JDBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
C#C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnonouser defined functionsyes infoCoprocessors in Java
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnonehorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
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 applicationyesACIDSingle row ACID (across millions of columns)
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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization concept, user rolesyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Amazon SimpleDBDatabendGBaseHBase
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