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DBMS > Amazon SimpleDB vs. Apache Druid vs. EventStoreDB vs. Quasardb vs. Teradata Aster

System Properties Comparison Amazon SimpleDB vs. Apache Druid vs. EventStoreDB vs. Quasardb vs. Teradata Aster

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Druid  Xexclude from comparisonEventStoreDB  Xexclude from comparisonQuasardb  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed 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 dataIndustrial-strength, open-source database solution built from the ground up for event sourcing.Distributed, high-performance timeseries databasePlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Event StoreTime Series DBMSRelational 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
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­simpledbdruid.apache.orgwww.eventstore.comquasar.ai
Technical documentationdocs.aws.amazon.com/­simpledbdruid.apache.org/­docs/­latest/­designdevelopers.eventstore.comdoc.quasar.ai/­master
DeveloperAmazonApache Software Foundation and contributorsEvent Store LimitedquasardbTeradata
Initial release20072012201220092005
Current release29.0.1, April 202421.2, February 20213.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedLinux
OS X
Unix
Linux
Windows
BSD
Linux
OS X
Windows
Linux
Data schemeschema-freeyes infoschema-less columns are supportedschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoyesyes infointeger and binaryyes
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.nonoyes infoin Aster File Store
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infowith tagsyes
SQL infoSupport of SQLnoSQL for queryingSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP/JSON API
HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnononoR packages
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infomanual/auto, time-basedSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesSource-replica replication with selectable replication factoryes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
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 persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeno
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 systemCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBApache DruidEventStoreDBQuasardbTeradata Aster
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