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DBMS > Amazon SimpleDB vs. Apache Druid vs. GridGain vs. KeyDB vs. Quasardb

System Properties Comparison Amazon SimpleDB vs. Apache Druid vs. GridGain vs. KeyDB vs. Quasardb

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Druid  Xexclude from comparisonGridGain  Xexclude from comparisonKeyDB  Xexclude from comparisonQuasardb  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 dataGridGain is an in-memory computing platform, built on Apache IgniteAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsDistributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Key-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­simpledbdruid.apache.orgwww.gridgain.comgithub.com/­Snapchat/­KeyDB
keydb.dev
quasar.ai
Technical documentationdocs.aws.amazon.com/­simpledbdruid.apache.org/­docs/­latest/­designwww.gridgain.com/­docs/­index.htmldocs.keydb.devdoc.quasar.ai/­master
DeveloperAmazonApache Software Foundation and contributorsGridGain Systems, Inc.EQ Alpha Technology Ltd.quasardb
Initial release20072012200720192009
Current release29.0.1, April 2024GridGain 8.5.13.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoBSD-3commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetC++C++
Server operating systemshostedLinux
OS X
Unix
Linux
OS X
Solaris
Windows
LinuxBSD
Linux
OS X
Windows
Data schemeschema-freeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infointeger and binary
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.noyesnono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes infoby using the Redis Search moduleyes infowith tags
SQL infoSupport of SQLnoSQL for queryingANSI-99 for query and DML statements, subset of DDLnoSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)Luano
Triggersnonoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infomanual/auto, time-basedShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesyes (replicated cache)Multi-source replication
Source-replica replication
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTransient mode
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 implementationssimple password-based access control and ACLCryptographically strong user authentication and audit trail

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More resources
Amazon SimpleDBApache DruidGridGainKeyDBQuasardb
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