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DBMS > Amazon DocumentDB vs. Apache Drill vs. Drizzle vs. EventStoreDB vs. SiteWhere

System Properties Comparison Amazon DocumentDB vs. Apache Drill vs. Drizzle vs. EventStoreDB vs. SiteWhere

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Drill  Xexclude from comparisonDrizzle  Xexclude from comparisonEventStoreDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Industrial-strength, open-source database solution built from the ground up for event sourcing.M2M integration platform for persisting/querying time series data
Primary database modelDocument storeDocument store
Relational DBMS
Relational DBMSEvent StoreTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteaws.amazon.com/­documentdbdrill.apache.orgwww.eventstore.comgithub.com/­sitewhere/­sitewhere
Technical documentationaws.amazon.com/­documentdb/­resourcesdrill.apache.org/­docsdevelopers.eventstore.comsitewhere1.sitewhere.io/­index.html
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerEvent Store LimitedSiteWhere
Initial release20192012200820122010
Current release1.20.3, January 20237.2.4, September 201221.2, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGNU GPLOpen SourceOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyesno
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantyes infowith proprietary extensionsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
JDBCHTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++C
C++
Java
PHP
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnonono infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceno
User concepts infoAccess controlAccess rights for users and rolesDepending on the underlying data sourcePluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization concept

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More resources
Amazon DocumentDBApache DrillDrizzleEventStoreDBSiteWhere
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