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DBMS > Amazon DocumentDB vs. Apache Doris vs. Hazelcast

System Properties Comparison Amazon DocumentDB vs. Apache Doris vs. Hazelcast

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Doris  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn MPP-based analytics DBMS embracing the MySQL protocolA widely adopted in-memory data grid
Primary database modelDocument storeRelational DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websiteaws.amazon.com/­documentdbdoris.apache.org
github.com/­apache/­doris
hazelcast.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­apache/­doris/­wikihazelcast.org/­imdg/­docs
DeveloperApache Software Foundation, originally contributed from BaiduHazelcast
Initial release201920172008
Current release1.2.2, February 20235.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedLinuxAll OS with a Java VM
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 infothe object must implement a serialization strategy
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
MySQL client
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes infoEvent Listeners, Executor Services
Triggersnonoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardRole-based access control

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More resources
Amazon DocumentDBApache DorisHazelcast
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