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DBMS > Amazon SimpleDB vs. Apache Druid vs. HBase vs. Manticore Search

System Properties Comparison Amazon SimpleDB vs. Apache Druid vs. HBase vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Druid  Xexclude from comparisonHBase  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 ScioreOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataWide-column store based on Apache Hadoop and on concepts of BigTableMulti-storage database for search, including full-text search.
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Wide column 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#139  Overall
#24  Key-value stores
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.23
Rank#317  Overall
#21  Search engines
Websiteaws.amazon.com/­simpledbdruid.apache.orghbase.apache.orgmanticoresearch.com
Technical documentationdocs.aws.amazon.com/­simpledbdruid.apache.org/­docs/­latest/­designhbase.apache.org/­book.htmlmanual.manticoresearch.com
DeveloperAmazonApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by PowersetManticore Software
Initial release2007201220082017
Current release29.0.1, April 20242.3.4, January 20216.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache version 2Open 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 languageJavaJavaC++
Server operating systemshostedLinux
OS X
Unix
Linux
Unix
Windows infousing Cygwin
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeyes infoschema-less columns are supportedschema-free, schema definition possibleFixed schema
Typing infopredefined data types such as float or datenoyesoptions to bring your own types, AVROInt, 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 automaticallyyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL for queryingnoSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
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
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Javauser defined functions
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infomanual/auto, time-basedShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Synchronous replication based on Galera library
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 integritynononono
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)yes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
Amazon SimpleDBApache DruidHBaseManticore Search
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