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DBMS > Amazon DocumentDB vs. Amazon Redshift vs. Apache Drill vs. DolphinDB vs. Memcached

System Properties Comparison Amazon DocumentDB vs. Amazon Redshift vs. Apache Drill vs. DolphinDB vs. Memcached

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonApache Drill  Xexclude from comparisonDolphinDB  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceLarge scale data warehouse service for use with business intelligence toolsSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.In-memory key-value store, originally intended for caching
Primary database modelDocument storeRelational DBMSDocument store
Relational DBMS
Time Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websiteaws.amazon.com/­documentdbaws.amazon.com/­redshiftdrill.apache.orgwww.dolphindb.comwww.memcached.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­redshiftdrill.apache.org/­docsdocs.dolphindb.cn/­en/­help200/­index.htmlgithub.com/­memcached/­memcached/­wiki
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationDolphinDB, IncDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20192012201220182003
Current release1.20.3, January 2023v2.00.4, January 20221.6.25, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercial infofree community version availableOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C
Server operating systemshostedhostedLinux
OS X
Windows
Linux
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono
Secondary indexesyesrestrictednoyesno
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardSQL SELECT statement is SQL:2003 compliantSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBCC++C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonuser defined functionsyesno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyesnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesDepending on the underlying data sourceyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourceyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardDepending on the underlying data sourceAdministrators, Users, Groupsyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Amazon DocumentDBAmazon RedshiftApache DrillDolphinDBMemcached
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