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DBMS > Amazon DocumentDB vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable

System Properties Comparison Amazon DocumentDB vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelDocument storeGraph DBMSRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.15
Rank#163  Overall
#28  Document stores
Score1.71
Rank#131  Overall
#11  Graph DBMS
Score0.26
Rank#274  Overall
#127  Relational DBMS
Score3.58
Rank#88  Overall
#7  Wide column stores
Websiteaws.amazon.com/­documentdbdgraph.iowww.esgyn.cncloud.google.com/­bigtable
Technical documentationaws.amazon.com/­documentdb/­resourcesdgraph.io/­docscloud.google.com/­bigtable/­docs
DeveloperDgraph Labs, Inc.EsgynGoogle
Initial release2019201620152015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, Java
Server operating systemshostedLinux
OS X
Windows
Linuxhosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoJava Stored Proceduresno
Triggersnononono
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 between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
Amazon DocumentDBDgraphEsgynDBGoogle Cloud Bigtable
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
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More resources
Amazon DocumentDBDgraphEsgynDBGoogle Cloud Bigtable
Recent citations in the news

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

Amazon Adds Global Cluster to DocumentDB
13 June 2021, Illinoisnewstoday.com

Amazon DocumentDB Adds Global Cluster Support
8 June 2021, iProgrammer

Amazon Adds Global Clusters to DocumentDB
9 June 2021, InfoQ.com

news digest: GCC updates its copyright assignment policy, Amazon DocumentDB released, and the Swan Lake beta release of Ballerina - SD Times
3 June 2021, SDTimes.com

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Dgraph Rises to the Top Graph Database on GitHub With 11 G2 Badges and 11M Downloads
26 May 2021, Business Wire

Dgraph jumps to the top of GitHub’s graph database with 11 G2 badges and 11 million downloads
30 May 2021, Illinoisnewstoday.com

Gary Hagmueller Joins Dgraph Labs To Lead the Graph Platform Market Disruption
8 April 2021, Business Wire

Dgraph GraphQL database users detail graph use cases
20 April 2021, TechTarget

Dgraph Labs Launches Slash GraphQL, Industry's First GraphQL-Native Database Backend-As-A-Service
10 September 2020, GlobeNewswire

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If You’re Hungry For Data-Driven Transformation, Google's Serving Up A Data Cloud Summit For You
24 May 2021, Forbes

Best Resources To Learn Google Cloud Platform
31 May 2021, Analytics India Magazine

2014 - NoSQL Has Its Day
1 June 2021, Datanami

Google Cloud Launches Three New Services to Empower Customers with Unified Data Cloud Strategy
26 May 2021, PRNewswire

Google’s managed database service with support for Microsoft SQL Server – TechCrunch Japan
30 May 2021, Illinoisnewstoday.com

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