Domino Enterprise MLOps Platform vs. PostgreSQL

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
PostgreSQL
Score 8.8 out of 10
N/A
PostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.N/A
Pricing
Domino Enterprise MLOps PlatformPostgreSQL
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Domino Enterprise MLOps PlatformPostgreSQL
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Domino Enterprise MLOps PlatformPostgreSQL
Best Alternatives
Domino Enterprise MLOps PlatformPostgreSQL
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 8.6 out of 10
InfluxDB
InfluxDB
Score 9.0 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
SQLite
SQLite
Score 8.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
SQLite
SQLite
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Domino Enterprise MLOps PlatformPostgreSQL
Likelihood to Recommend
-
(0 ratings)
8.3
(56 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Usability
-
(0 ratings)
8.3
(9 ratings)
Availability
-
(0 ratings)
9.0
(1 ratings)
Performance
-
(0 ratings)
7.0
(1 ratings)
Support Rating
-
(0 ratings)
9.3
(7 ratings)
Implementation Rating
-
(0 ratings)
9.0
(1 ratings)
Product Scalability
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Domino Enterprise MLOps PlatformPostgreSQL
Likelihood to Recommend
Domino Data Lab
No answers on this topic
PostgreSQL Global Development Group
PostgreSQL is best used for structured data, and best when following relational database design principles. I would not use PostgreSQL for large unstructured data such as video, images, sound files, xml documents, web-pages, especially if these files have their own highly variable, internal structure.
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Pros
Domino Data Lab
No answers on this topic
PostgreSQL Global Development Group
  • It works well with external data sources and runs on platforms with stable performance.
  • Clients can rest assured that their personal information will be safe and secure.
  • Many forums discuss setup and usage, and most are free.
  • Adding tooling applications to a computer is unlimited.
  • PostgreSQL runs on many OS platforms and supports ANSI SQL, stored procedures, and triggers.
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Cons
Domino Data Lab
No answers on this topic
PostgreSQL Global Development Group
  • Clearer indications on what is the query plan, to optimize the query
  • More out of the box, Postgres specific, SQL functions
  • It would be nice to have a more visual aid of the relationship between all tables, but possibly this depend more on the UI used
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Likelihood to Renew
Domino Data Lab
No answers on this topic
PostgreSQL Global Development Group
As a needed software for day to day development activities
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Usability
Domino Data Lab
No answers on this topic
PostgreSQL Global Development Group
Postgresql is the best tool out there for relational data so I have to give it a high rating when it comes to analytics, data availability and consistency, so on and so forth. SQL is also a relatively consistent language so when it comes to building new tables and loading data in from the OLTP database, there are enough tools where we can perform ETL on a scalable basis.
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Reliability and Availability
Domino Data Lab
No answers on this topic
PostgreSQL Global Development Group
PostgreSQL's availability is top notch. Apart from connection time-out for an idle user, the database is super reliable.
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Performance
Domino Data Lab
No answers on this topic
PostgreSQL Global Development Group
The data queries are relatively quick for a small to medium sized table. With complex joins, and a wide and deep table however, the performance of the query has room for improvement.
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Support Rating
Domino Data Lab
No answers on this topic
PostgreSQL Global Development Group
There are several companies that you can contract for technical support, like EnterpriseDB or Percona, both first level in expertise and commitment to the software.
But we do not have contracts with them, we have done all the way from googling to forums, and never have a problem that we cannot resolve or pass around. And for dozens of projects and more than 15 years now.
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Online Training
Domino Data Lab
No answers on this topic
PostgreSQL Global Development Group
The online training is request based. Had there been recorded videos available online for potential users to benefit from, I could have rated it higher. The online documentation however is very helpful. The online documentation PDF is downloadable and allows users to pace their own learning. With examples and code snippets, the documentation is great starting point.
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Implementation Rating
Domino Data Lab
No answers on this topic
PostgreSQL Global Development Group
The online documentation of the PostgreSQL product is elaborate and takes users step by step.
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Alternatives Considered
Domino Data Lab
No answers on this topic
PostgreSQL Global Development Group
Although the competition between the different databases is increasingly aggressive in the sense that they provide many improvements, new functionalities, compatibility with complementary components or environments, in some cases it requires that it be followed within the same family of applications that performs the company that develops it and that is not all bad, but being able to adapt or configure different programs, applications or other environments developed by third parties apart is what gives PostgreSQL a certain advantage and this diversification in the components that can be joined with it, is the reason why it is a great option to choose.
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Scalability
Domino Data Lab
No answers on this topic
PostgreSQL Global Development Group
The DB is reliable, scalable, easy to use and resolves most DB needs
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Return on Investment
Domino Data Lab
No answers on this topic
PostgreSQL Global Development Group
  • Easy to administer so our DevOps team has only ever used minimal time to setup, tune, and maintain.
  • Easy to interface with so our Engineering team has only ever used minimal time to query or modify the database. Getting the data is straightforward, what we do with it is the bigger concern.
  • It's free. You can't beat that.
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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.