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DBMS > Amazon DocumentDB vs. Apache Druid vs. Memcached vs. Microsoft Azure Table Storage vs. TigerGraph

System Properties Comparison Amazon DocumentDB vs. Apache Druid vs. Memcached vs. Microsoft Azure Table Storage vs. TigerGraph

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Druid  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataIn-memory key-value store, originally intended for cachingA Wide Column Store for rapid development using massive semi-structured datasetsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeRelational DBMS
Time Series DBMS
Key-value storeWide column storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteaws.amazon.com/­documentdbdruid.apache.orgwww.memcached.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.tigergraph.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdruid.apache.org/­docs/­latest/­designgithub.com/­memcached/­memcached/­wikidocs.tigergraph.com
DeveloperApache Software Foundation and contributorsDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoft
Initial release20192012200320122017
Current release29.0.1, April 20241.6.27, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoBSD licensecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemshostedLinux
OS X
Unix
FreeBSD
Linux
OS X
Unix
Windows
hostedLinux
Data schemeschema-freeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesyesnono
SQL infoSupport of SQLnoSQL for queryingnonoSQL-like query language (GSQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
RESTful HTTP/JSON API
Proprietary protocolRESTful HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnonononoyes
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basednoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes, via HDFS, S3 or other storage enginesnone infoRepcached, a Memcached patch, provides this functionallityyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights based on private key authentication or shared access signaturesRole-based access control

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More resources
Amazon DocumentDBApache DruidMemcachedMicrosoft Azure Table StorageTigerGraph
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