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DBMS > Amazon SimpleDB vs. Apache Pinot vs. Google Cloud Datastore vs. TerarkDB

System Properties Comparison Amazon SimpleDB vs. Apache Pinot vs. Google Cloud Datastore vs. TerarkDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Pinot  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonTerarkDB  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 ScioreRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeRelational DBMSDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score4.13
Rank#71  Overall
#12  Document stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websiteaws.amazon.com/­simpledbpinot.apache.orgcloud.google.com/­datastoregithub.com/­bytedance/­terarkdb
Technical documentationdocs.aws.amazon.com/­simpledbdocs.pinot.apache.orgcloud.google.com/­datastore/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazonApache Software Foundation and contributorsGoogleByteDance, originally Terark
Initial release2007201520082016
Current release1.0.0, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedAll OS with a Java JDK11 or higherhosted
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyes, details hereno
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 automaticallyyesno
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (GQL)no
APIs and other access methodsRESTful HTTP APIJDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
C++ API
Java API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnousing Google App Engineno
TriggersnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Amazon SimpleDBApache PinotGoogle Cloud DatastoreTerarkDB
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