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 Neptune vs. Brytlyt vs. Google BigQuery vs. InterSystems IRIS vs. Newts

System Properties Comparison Amazon Neptune vs. Brytlyt vs. Google BigQuery vs. InterSystems IRIS vs. Newts

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBrytlyt  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLLarge scale data warehouse service with append-only tablesA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityTime Series DBMS based on Cassandra
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.56
Rank#109  Overall
#7  Graph DBMS
#5  RDF stores
Score0.36
Rank#260  Overall
#121  Relational DBMS
Score45.81
Rank#24  Overall
#16  Relational DBMS
Score1.84
Rank#127  Overall
#21  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#62  Relational DBMS
Score0.00
Rank#358  Overall
#36  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.brytlyt.comcloud.google.com/­bigquerywww.intersystems.com/­products/­intersystems-irisopennms.github.io/­newts
Technical documentationaws.amazon.com/­neptune/­developer-resourcescloud.google.com/­bigquery/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­OpenNMS/­newts/­wiki
DeveloperAmazonBrytlytGoogleInterSystemsOpenNMS Group
Initial release20172016201020182014
Current release0.9, October 20162021.1, June 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAJava
Server operating systemshostedLinux
OS X
Windows
hostedAIX
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesdepending on used data modelschema-free
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.noyes infospecific XML-type available, but no XML query functionality.noyesno
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLnoyesyesyesno
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLuser defined functions infoin JavaScriptyesno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasSource-replica replicationSource-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoSince BigQuery is designed for querying dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
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 roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesno

More information provided by the system vendor

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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

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

More resources
Amazon NeptuneBrytlytGoogle BigQueryInterSystems IRISNewts
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Recent citations in the news

AWS Announces Three New Database Capabilities
1 December 2021, Business Wire

Amazon Neptune update: Machine learning, data science, and the future of graph databases
30 July 2021, ZDNet

We Want To Reach A Goal Of 100 Mn Users By 2025: Avinash Kumar, Co-Founder, Krishify
8 December 2021, BW Businessworld

Oh! Christmas tree? Cardboard display is the talk of a town
29 November 2021, The Independent

Here’s how you can predict graphs accurately, quickly, and securely with Amazon Neptune
1 November 2021, YourStory

provided by Google News

USD 361.56 million growth for GPU Database Market from 2020 to 2025 |Evolving Opportunities with BlazingSQL Inc., Brytlyt Ltd. & Hetero DB Co. Ltd.|17000+ Technavio Reports
26 November 2021, PRNewswire

Brytlyt Unleashes Serverless GPU-Acceleration for Analytics
15 September 2021, PR Newswire UK

Brytlyt Awarded US Patent for Relational JOINs Algorithm
27 August 2021, PRNewswire

Brytlyt Lauded by Frost & Sullivan for Building BrytlytDB, a GPU-powered Analytics Platform that Is Transforming the Way Companies Leverage Data
21 June 2021, MarTech Series

Brytlyt Secures Series A to Turbocharge Real-Time Data Analytics
20 May 2020, PRNewswire

provided by Google News

Google’s Logica language addresses SQL’s flaws
15 April 2021, InfoWorld

Acquisitions to Fuel Programmable Analytics
11 June 2019, DevOps.com

provided by Google News

InterSystems IRIS Achieves AWS Graviton Ready Designation
1 December 2021, Business Wire

eConsult partners with InterSystems to help expand solution deployment
1 December 2021, Digital Health

Latest Release of InterSystems IRIS Data Platform Provides Next Step in Data Fabric Adoption
17 June 2021, Business Wire

InterSystems IRIS for Health™ and First Line Software to Streamline Clinical Research Workflows on i2b2
29 October 2021, Business Wire

InterSystems IRIS® FHIR® Accelerator Service Enables Easy Retrieval and Storage of Healthcare Data
20 September 2021, Business Wire

provided by Google News

Rapid phenotypic change in a polymorphic salamander over 43 years | Scientific Reports
22 November 2021, Nature.com

provided by Google News

Job opportunities

Front End Engineer: Amazon Neptune Workbench
Amazon Dev Center U.S., Inc., Seattle, WA

Software Development Engineer, Customer Privacy
Amazon.com Services LLC, Remote

Applied Scientist Graph Query Planning and Optimization, Amazon Neptune
Amazon Dev Center U.S., Inc., Seattle, WA

Amazon Neptune, Product Leader
Amazon Dev Center U.S., Inc., Seattle, WA

Amazon Neptune - Software Dev Engineer
Amazon Dev Center U.S., Inc., East Palo Alto, CA

Presales Engineer - Voltage Data Privacy & Protection
Micro Focus, Sunnyvale, CA

Financial Services Sales Manager
InterSystems, Cambridge, MA

Development Manager
InterSystems, Cambridge, MA

Solutions Development Program
InterSystems, Cambridge, MA

Healthcare Software Engineer
Ready Computing Resources LLC, New York, NY

Professional Services Consultant
InterSystems, New York, NY

jobs by Indeed



Share this page

Featured Products

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Neo4j logo

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

Present your product here