DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon DocumentDB vs. Dgraph vs. EsgynDB vs. InterSystems IRIS vs. RavenDB

System Properties Comparison Amazon DocumentDB vs. Dgraph vs. EsgynDB vs. InterSystems IRIS vs. RavenDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonRavenDB  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 TrafodionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument storeGraph DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score4.39
Rank#81  Overall
#13  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#44  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Websiteaws.amazon.com/­documentdbdgraph.iowww.esgyn.cnwww.intersystems.com/­products/­intersystems-irisravendb.net
Technical documentationaws.amazon.com/­documentdb/­resourcesdgraph.io/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsravendb.net/­docs
DeveloperDgraph Labs, Inc.EsgynInterSystemsHibernating Rhinos
Initial release20192016201520182010
Current release2023.3, June 20235.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaC#
Server operating systemshostedLinux
OS X
Windows
LinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeyesdepending on used data modelschema-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.nononoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonoyesyesSQL-like query language (RQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
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.Net.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoJava Stored Proceduresyesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingShardingSharding
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 datacentersSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDACID, Cluster-wide transaction available
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.noyes
User concepts infoAccess controlAccess rights for users and rolesno infoPlanned for future releasesfine grained access rights according to SQL-standardyesAuthorization levels configured per client per database
More information provided by the system vendor
Amazon DocumentDBDgraphEsgynDBInterSystems IRISRavenDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DocumentDBDgraphEsgynDBInterSystems IRISRavenDB
Recent citations in the news

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
29 November 2023, AWS Blog

Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0 | Amazon Web Services
15 April 2024, AWS Blog

AWS announces Amazon DocumentDB I/O-Optimized
21 November 2023, AWS Blog

AWS announces vector search for Amazon DocumentDB
29 November 2023, AWS Blog

Mask sensitive Amazon DocumentDB log data with Amazon CloudWatch Logs data protection | Amazon Web Services
16 April 2024, AWS Blog

provided by Google News

Dgraph on AWS: Setting up a horizontally scalable graph database | Amazon Web Services
1 September 2020, AWS Blog

Popular Open Source GraphQL Company Dgraph Secures $6M in Seed Round with New Leadership
20 July 2022, PR Newswire

Dgraph Raises $6M in Seed Funding
20 July 2022, FinSMEs

Dgraph launches Slash GraphQL, a GraphQL-native database Backend-as-a-Service
10 September 2020, TechCrunch

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

provided by Google News

Unlocking the Power of Generative AI: InterSystems IRIS with Vector Search -
26 March 2024, HIT Consultant

InterSystems Expands IRIS Data Platform with Vector Search to Support Next-Gen AI Applications
26 March 2024, Datanami

InterSystems Introduces Two New Cloud-Native Smart Data Services to Accelerate Database and Machine Learning ...
11 January 2024, Yahoo Finance

InterSystems expands InterSystems IRIS data platform with vector search to support next-generation AI applications
16 April 2024, ITWeb

InterSystems and IPA's Subsidiary BioStrand Collaborate to Unveil the Innovative Integration of Vector Search with ...
28 March 2024, businesswire.com

provided by Google News

RavenDB Welcomes David Baruc as Chief Revenue Officer: Seasoned Tech Leader to Drive Global Sales and ...
13 June 2023, PR Newswire

Install the NoSQL RavenDB Data System
14 May 2021, The New Stack

How I Created a RavenDB Python Client
23 September 2016, Visual Studio Magazine

RavenDB Adds Graph Queries
15 May 2019, Datanami

Review: NoSQL database RavenDB
20 March 2019, TechGenix

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here