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DBMS > Amazon SimpleDB vs. Apache Druid vs. GeoSpock vs. Google BigQuery

System Properties Comparison Amazon SimpleDB vs. Apache Druid vs. GeoSpock vs. Google BigQuery

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle BigQuery  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 ScioreOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataSpatial and temporal data processing engine for extreme data scaleLarge scale data warehouse service with append-only tables
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Websiteaws.amazon.com/­simpledbdruid.apache.orggeospock.comcloud.google.com/­bigquery
Technical documentationdocs.aws.amazon.com/­simpledbdruid.apache.org/­docs/­latest/­designcloud.google.com/­bigquery/­docs
DeveloperAmazonApache Software Foundation and contributorsGeoSpockGoogle
Initial release200720122010
Current release29.0.1, April 20242.0, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, Javascript
Server operating systemshostedLinux
OS X
Unix
hostedhosted
Data schemeschema-freeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallyyestemporal, categoricalno
SQL infoSupport of SQLnoSQL for queryingANSI SQL for query only (using Presto)yes
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP/JSON API
JDBCRESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononouser defined functions infoin JavaScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infomanual/auto, time-basedAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage engines
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 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 applicationnonono infoSince BigQuery is designed for querying data
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.nonono
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 rights for users can be defined per tableAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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Amazon SimpleDBApache DruidGeoSpockGoogle BigQuery
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