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DBMS > Amazon DocumentDB vs. Apache Druid vs. Faircom EDGE vs. Memcached vs. TigerGraph

System Properties Comparison Amazon DocumentDB vs. Apache Druid vs. Faircom EDGE vs. Memcached vs. TigerGraph

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Druid  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonMemcached  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 dataFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsIn-memory key-value store, originally intended for cachingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Key-value 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
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteaws.amazon.com/­documentdbdruid.apache.orgwww.faircom.com/­products/­faircom-edgewww.memcached.orgwww.tigergraph.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdruid.apache.org/­docs/­latest/­designdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgithub.com/­memcached/­memcached/­wikidocs.tigergraph.com
DeveloperApache Software Foundation and contributorsFairCom CorporationDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20192012197920032017
Current release29.0.1, April 2024V3, October 20201.6.27, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial infoRestricted, free version availableOpen Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++CC++
Server operating systemshostedLinux
OS X
Unix
Android
Linux infoARM, x86
Raspbian
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesnoyes
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.nonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoSQL for queryingyes infoANSI SQL queriesnoSQL-like query language (GSQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
RESTful HTTP/JSON API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Proprietary protocolGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++noyes
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedFile partitioning infoCustomizable business rules for partitioningnone
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 enginesyes infoSynchronous and asynchronous realtime replication based on transaction logsnone 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)nononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes infowhen using SQLnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yes infousing SASL (Simple Authentication and Security Layer) protocolRole-based access control

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More resources
Amazon DocumentDBApache DruidFaircom EDGE infoformerly c-treeEDGEMemcachedTigerGraph
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