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DBMS > Amazon SimpleDB vs. Apache Druid vs. eXtremeDB vs. GridGain

System Properties Comparison Amazon SimpleDB vs. Apache Druid vs. eXtremeDB vs. GridGain

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Druid  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGridGain  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 dataNatively in-memory DBMS with options for persistency, high-availability and clusteringGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Relational DBMS
Time Series DBMS
Key-value store
Relational DBMS
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
Score0.73
Rank#227  Overall
#104  Relational DBMS
#18  Time Series DBMS
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Websiteaws.amazon.com/­simpledbdruid.apache.orgwww.mcobject.comwww.gridgain.com
Technical documentationdocs.aws.amazon.com/­simpledbdruid.apache.org/­docs/­latest/­designwww.mcobject.com/­docs/­extremedb.htmwww.gridgain.com/­docs/­index.html
DeveloperAmazonApache Software Foundation and contributorsMcObjectGridGain Systems, Inc.
Initial release2007201220012007
Current release29.0.1, April 20248.2, 2021GridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java, C++, .Net
Server operating systemshostedLinux
OS X
Unix
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
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.nono infosupport of XML interfaces availableyes
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoSQL for queryingyes infowith the option: eXtremeSQLANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP/JSON API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyesyes (compute grid and cache interceptors can be used instead)
Triggersnonoyes infoby defining eventsyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infomanual/auto, time-basedhorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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.noyesyes
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 systemSecurity Hooks for custom implementations
More information provided by the system vendor
Amazon SimpleDBApache DruideXtremeDBGridGain
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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Amazon SimpleDBApache DruideXtremeDBGridGain
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