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DBMS > Amazon SimpleDB vs. GeoSpock vs. HBase vs. SurrealDB

System Properties Comparison Amazon SimpleDB vs. GeoSpock vs. HBase vs. SurrealDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonHBase  Xexclude from comparisonSurrealDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded 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 ScioreSpatial and temporal data processing engine for extreme data scaleWide-column store based on Apache Hadoop and on concepts of BigTableA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelKey-value storeRelational DBMSWide column storeDocument store
Graph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteaws.amazon.com/­simpledbgeospock.comhbase.apache.orgsurrealdb.com
Technical documentationdocs.aws.amazon.com/­simpledbhbase.apache.org/­book.htmlsurrealdb.com/­docs
DeveloperAmazonGeoSpockApache Software Foundation infoApache top-level project, originally developed by PowersetSurrealDB Ltd
Initial release200720082022
Current release2.0, September 20192.3.4, January 2021v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaRust
Server operating systemshostedhostedLinux
Unix
Windows infousing Cygwin
Linux
macOS
Windows
Data schemeschema-freeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or datenoyesoptions to bring your own types, AVROyes
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.nono
Secondary indexesyes infoAll columns are indexed automaticallytemporal, categoricalno
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)noSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBCJava API
RESTful HTTP API
Thrift
GraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Java
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoSingle row ACID (across millions of columns)ACID
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.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per tableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes, based on authentication and database rules

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More resources
Amazon SimpleDBGeoSpockHBaseSurrealDB
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