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DBMS > Amazon SimpleDB vs. Apache Drill vs. GridGain vs. Quasardb

System Properties Comparison Amazon SimpleDB vs. Apache Drill vs. GridGain vs. Quasardb

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Drill  Xexclude from comparisonGridGain  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 ScioreSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageGridGain is an in-memory computing platform, built on Apache IgniteDistributed, high-performance timeseries database
Primary database modelKey-value storeDocument store
Relational DBMS
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websiteaws.amazon.com/­simpledbdrill.apache.orgwww.gridgain.comquasar.ai
Technical documentationdocs.aws.amazon.com/­simpledbdrill.apache.org/­docswww.gridgain.com/­docs/­index.htmldoc.quasar.ai/­master
DeveloperAmazonApache Software FoundationGridGain Systems, Inc.quasardb
Initial release2007201220072009
Current release1.20.3, January 2023GridGain 8.5.13.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial, open sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net, Python, REST, SQLC++
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Solaris
Windows
z/OS
BSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes 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.noyesno
Secondary indexesyes infoAll columns are indexed automaticallynoyesyes infowith tags
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)with Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate 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 applicationnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Depending on the underlying data sourceRole-based access control
Security Hooks for custom implementations
Cryptographically strong user authentication and audit trail

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More resources
Amazon SimpleDBApache DrillGridGainQuasardb
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