Amazon RDS Performance Insights vs. Domino Enterprise MLOps Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon RDS Performance Insights
Score 9.6 out of 10
N/A
Amazon RDS Performance Insights is a database performance tuning and monitoring feature that helps to asess the load on a database, and determine when and where to take action. Performance Insights helps non-experts to detect performance problems with a dashboard that visualizes database load. Performance Insights uses lightweight data collection methods that don’t impact the performance of your applications, and makes it easy to see which SQL statements are causing…
$0.01
per 1,000 requests.
Domino Enterprise MLOps Platform
Score 8.0 out of 10
Enterprise companies (1,001+ employees)
The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale. Domino is presented as open and flexible, to empower professional data scientists to use their preferred tools and infrastructure. Data science models get into production fast and are kept operating at peak performance with integrated workflows. Domino also delivers the security, governance and compliance that enterprises expect. The Domino Enterprise MLOps…N/A
Pricing
Amazon RDS Performance InsightsDomino Enterprise MLOps Platform
Editions & Modules
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Offerings
Pricing Offerings
Amazon RDS Performance InsightsDomino Enterprise MLOps Platform
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Best Alternatives
Amazon RDS Performance InsightsDomino Enterprise MLOps Platform
Small Businesses

No answers on this topic

Jupyter Notebook
Jupyter Notebook
Score 8.5 out of 10
Medium-sized Companies
LogicMonitor
LogicMonitor
Score 9.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
LogicMonitor
LogicMonitor
Score 9.0 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon RDS Performance InsightsDomino Enterprise MLOps Platform
Likelihood to Recommend
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
Amazon RDS Performance InsightsDomino Enterprise MLOps Platform
Likelihood to Recommend
Amazon AWS
When you need to monitor your database at low level metrics such as query load or CPU usage at some point in time. You can also use it to understand which component is a heavy load on your DB. It is a great tool for routine monitoring of your DB and to help plan for capacity. I would not use it as an exclusive source for scaling your DB though since the is not long-term or very granular data to be able to run a thorough analysis on peaks of predictive analysis.
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Domino Data Lab
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Pros
Amazon AWS
  • RDS Infrastructure Metrics
  • RDS Logical Metrics
  • Real time visualization of query load
  • Identify Performance Bottlenecks
  • Historical Performance Analysis of load
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Domino Data Lab
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Cons
Amazon AWS
  • Easier way to identify to which service the query comes from
  • Easier way to identify correlation between metrics
  • More customization, right now it is too restricted
  • The interval could be smaller between data points for peaks of usage
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Domino Data Lab
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Alternatives Considered
Amazon AWS
Amazon RDS Performance Insights is a out of the box plug and use solution for AWS with a press of a button, whereas Prometheus would require a lot of configuration and deployment and the learning curve is slower, making it not so user friendly. Datadog on the other hand offers similar capabilities but at a much higher cost. With that in mind, Amazon RDS Performance Insights is the choice to integrate with your AWS services quickly and affordably.
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Domino Data Lab
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Return on Investment
Amazon AWS
  • Help Optimize Query and app performance
  • Help better plan capacity for the DB
  • Improved the company capacity on troubleshooting problems in DBs
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Domino Data Lab
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ScreenShots

Domino Enterprise MLOps Platform Screenshots

Screenshot of The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale.Screenshot of The Self-Service Infrastructure Portal makes data science teams more productive with access to their preferred tools, scalable compute, and diverse data sets. By automating time-consuming DevOps tasks, data scientists can focus on the tasks at hand.Screenshot of The Integrated Model Factory includes a workbench, model and app deployment, and integrated monitoring to rapidly experiment, deploy the best models in production, ensure optimal performance, and collaborate across the end-to-end data science lifecycle.Screenshot of The System of Record has a reproducibility engine, search and knowledge management, and integrated project management. Teams can find, reuse, reproduce, and build on any data science work to amplify innovation.Screenshot of Model monitoring capabilities ensure that all production models maintain peak performance. Automated alerts provide notification when data and quality drift occurs so users can re-train, rebuild, and re-publish the model.Screenshot of Nexus is a single pane of glass to run data science and ML workloads across any compute cluster — in any cloud, region, or on-premises. It unifies data science silos across the enterprise, providing one place to build, deploy, and monitor models.