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DBMS > Amazon SimpleDB vs. Apache Doris vs. HarperDB vs. Manticore Search

System Properties Comparison Amazon SimpleDB vs. Apache Doris vs. HarperDB vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Doris  Xexclude from comparisonHarperDB  Xexclude from comparisonManticore Search  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 MPP-based analytics DBMS embracing the MySQL protocolUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Multi-storage database for search, including full-text search.
Primary database modelKey-value storeRelational DBMSDocument storeSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.29
Rank#302  Overall
#21  Search engines
Websiteaws.amazon.com/­simpledbdoris.apache.org
github.com/­apache/­doris
www.harperdb.iomanticoresearch.com
Technical documentationdocs.aws.amazon.com/­simpledbgithub.com/­apache/­doris/­wikidocs.harperdb.io/­docsmanual.manticoresearch.com
DeveloperAmazonApache Software Foundation, originally contributed from BaiduHarperDBManticore Software
Initial release2007201720172017
Current release1.2.2, February 20233.1, August 20216.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC++
Server operating systemshostedLinuxLinux
OS X
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesdynamic schemaFixed schema
Typing infopredefined data types such as float or datenoyesyes infoJSON data typesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.nonoCan index from XML
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like data manipulation statementsSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
MySQL client
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Java.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsCustom Functions infosince release 3.1user defined functions
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioningA table resides as a whole on one (or more) nodes in a clusterSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infothe nodes on which a table resides can be definedSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationAtomic execution of specific operationsyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes infoThe original contents of fields are not stored in the Manticore index.
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)fine grained access rights according to SQL-standardAccess rights for users and rolesno

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More resources
Amazon SimpleDBApache DorisHarperDBManticore Search
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