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DBMS > Amazon DocumentDB vs. Apache Kylin vs. Dgraph vs. Drizzle vs. EsgynDB

System Properties Comparison Amazon DocumentDB vs. Apache Kylin vs. Dgraph vs. Drizzle vs. EsgynDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Kylin  Xexclude from comparisonDgraph  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  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 serviceA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackDistributed and scalable native Graph DBMSMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion
Primary database modelDocument storeRelational DBMSGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Websiteaws.amazon.com/­documentdbkylin.apache.orgdgraph.iowww.esgyn.cn
Technical documentationaws.amazon.com/­documentdb/­resourceskylin.apache.org/­docsdgraph.io/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncDgraph Labs, Inc.Drizzle project, originally started by Brian AkerEsgyn
Initial release20192015201620082015
Current release3.1.0, July 20207.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++C++, Java
Server operating systemshostedLinuxLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)noyes infowith proprietary extensionsyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBCADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnononoJava Stored Procedures
Triggersnonono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSynchronous replication via RaftMulti-source replication
Source-replica replication
Multi-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesno infoPlanned for future releasesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBApache KylinDgraphDrizzleEsgynDB
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