
Overview
InterSystems®, a creative data technology provider dedicated to helping customers solve their most critical scalability, interoperability, and speed problems, offers its market leading InterSystems Cloud portfolio of Smart Data Services through the AWS Cloud Marketplace. The portfolio includes fully managed cloud services designed to speed and simplify the development of cloud-native database and machine learning (ML) applications, while lowering total cost of ownership.
As part of the InterSystems Cloud portfolio of Smart Data Services, InterSystems IRIS Cloud SQL and InterSystems IRIS Cloud IntegratedML give application developers access to InterSystems proven enterprise-class capabilities as self-service, fully managed offerings in the Amazon Web Services (AWS) cloud while providing a fast and seamless on-ramp to the full suite of capabilities in the InterSystems IRIS data platform. InterSystems IRIS is a next-generation enterprise-class data platform that provides powerful database management, integration, analytics, application development, and API management capabilities in a single product that speeds time to value, simplifies architectures, and reduces maintenance effort and cost.
InterSystems IRIS Cloud SQL makes it easy for application developers to leverage InterSystems advanced relational database capabilities as a fully managed, secure, scalable, high performance, highly available cloud-native database-as-a-service (DBaaS).
Available as an additional cloud managed service for InterSystems IRIS Cloud SQL customers, InterSystems IRIS Cloud IntegratedML extends the capabilities of IRIS Cloud SQL to enable SQL developers to quickly build, tune, and execute machine learning models with just a few SQL-like commands, without moving or copying data to a different environment.
InterSystems IRIS Cloud IntegratedML automates much of the tedious work involved in feature engineering and model building and tuning. It also empowers skilled data scientists to become more productive and focus on higher-value tasks. Models created and trained with InterSystems IRIS Cloud IntegratedML are embedded directly within InterSystems IRIS Cloud SQL and execute in response to real-time events and transactions.
Highlights
- Extremely high performance, especially for ingesting and processing incoming data and performing SQL queries on the data with low latency at scale
- Fast and easy to provision and use, with automated security, data encryption, and backups. Ability to easily connect client applications via JDBC, ODBC, DB-API, and ADO.NET drivers
- Learn more about Cloud SQL and Cloud IntegratedML on the InterSystems Developer Hub - https://developer.intersystems.com/products/iris-cloud-sql-integratedml/
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/unit |
---|---|
vCPU deployed per hour | $0.91 |
Allocated storage per hour in 10 GB chunks | $0.005 |
Additional charge for IntegratedML feature per vCPU per hour | $0.228 |
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
InterSystems provides a fast path to get acquainted with our technology, development resources and support. Our Developer Community lets you engage to ask questions and share approaches and solutions. We offer comprehensive online learning courses. Organizations can find the full InterSystems IRIS documentation online, and can rely on enterprise-level support through the iService portal, backed by a 7/24/365 response center.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Useful Cloud Solution for IRIS Database
An excellent solution for quickly setting up a database, whether it's for work or testing purposes. I was particularly impressed by its seamless integration with S3 for handling large file uploads. I've had the pleasure of working with Cloud SQL using both Python and Java, and the presence of libraries that simplify the process, such as SQL Alchemy support, is a definite plus.
Erstaunliches Interoperabilitätswerkzeug
IRIS - Eine leistungsstarke Lösung
Flexibilität und Skalierbarkeit: IRIS unterstützt eine Vielzahl von Datenmodellen wie relationale Daten, Dokumente und Grafiken. Dies bietet eine größere Flexibilität, die Daten entsprechend den spezifischen Anforderungen der Anwendung zu gestalten. Darüber hinaus ist das System hoch skalierbar und kann steigende Arbeitslasten bewältigen, ohne die Leistung zu beeinträchtigen.
Integration und Interoperabilität: Intersystems IRIS ist eine robuste Integrationsplattform, die einen einfachen Datenaustausch zwischen heterogenen Systemen ermöglicht. Es unterstützt eine Vielzahl von Integrationsstandards wie HL7, JSON, SOAP und REST, was die Kommunikation zwischen verschiedenen Systemen und Anwendungen erleichtert.
Lernkurve: Für Entwickler, die mit anderen Datenbankverwaltungssystemen vertraut sind, kann es eine anfängliche Lernkurve geben, um sich an die Besonderheiten und Eigenheiten von IRIS anzupassen.
Kosten: Intersystems IRIS ist eine unternehmensgerechte Lösung und kann daher teurer sein im Vergleich zu anderen Datenbankoptionen auf dem Markt. Die Kosten können je nach Größe der Implementierung und den zusätzlich benötigten Ressourcen erheblich steigen.
Hardwareanforderungen: Aufgrund des Fokus auf hohe Leistung kann IRIS im Vergleich zu anderen Datenbanklösungen höhere Hardwareanforderungen haben, was die Infrastrukturkosten beeinflussen kann.
Punkte, die meine Arbeit verbessert haben: Interoperabilität zwischen verschiedenen Systemen, Datenverarbeitungsleistung.