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UbiOps
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4.7 out of 5 stars
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UbiOps Reviews & Product Details

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Tushar S.
TS
Software Developer
Small-Business(50 or fewer emp.)
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Review source: G2 invite
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What do you like best about UbiOps?

There are many points why to use it because of its budget-friendly, after using it it seems like it is built for yourself. It enhances the process and its security feature is pretty good. Review collected by and hosted on G2.com.

What do you dislike about UbiOps?

we don't get any notification when any model or pipeline crashes on my email which is disliked most otherwise it is very good to use it sometimes we face some problems in navigating. Review collected by and hosted on G2.com.

What problems is UbiOps solving and how is that benefiting you?

It contains a large set of tools, libraries, and framework which is available to develop machine learning, data science work. We can perform continuous monitoring and testing of the models. Review collected by and hosted on G2.com.

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UbiOps Overview

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What is UbiOps?

If you are a data scientist or engineer, at some point you want to bring your algorithm to production. And that means installing libraries, managing dependencies, deploying your scrips and models, versioning, serving, and running out of compute. Let’s be honest: deployment is hard. The tools we use are not as helpful as they could be, because they are not designed for our specific needs. And we lose ourselves in time-consuming model deployments and infrastructure management. That is not what we are meant for. We want to make sure that our time is best spent where we are needed, developing algorithms and code to create impact. That’s why we’re building UbiOps.

UbiOps Details
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UbiOps Community
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Product Description

UbiOps by Dutch Analytics is an all-in-one software platform that enables you to very quickly turn your algorithms into scalable, robust and secure end-to-end applications. This without requiring knowledge to set up Cloud infrastructure, micro-services, automated scaling, or DevOps practices. Save months of work as UbiOps takes care of a smooth transition from where data science ends to where IT starts. Easily deployed across public/private Cloud or On-Premise. Centrally managed and fully secured with data and code encryption.

Seller Details
Seller
UbiOps
Year Founded
2020
HQ Location
The Hague, South Holland
Twitter
@UbiOps_
109 Twitter followers
LinkedIn® Page
www.linkedin.com
22 employees on LinkedIn®
Anna-Maria S.
AS
Overview Provided by:
Anna-Maria Stachowska

Recent UbiOps Reviews

Abhyuday T.
AT
Abhyuday T.Mid-Market (51-1000 emp.)
5.0 out of 5
"Highly Recommend"
User friendly approach, and clear ops which is great
Read more
Priyanshu K.
PK
Priyanshu K.Mid-Market (51-1000 emp.)
4.5 out of 5
"UbiOps - Makes Machine Learning Models Scalable"
The best part about UbiOps is that it can turn your Machine Learning Models into scalable, robust and end-to end deployed apllication. Basically it...
Read more
Tushar S.
TS
Tushar S.Small-Business (50 or fewer emp.)
5.0 out of 5
"UbiOps build for MLOps"
There are many points why to use it because of its budget-friendly, after using it it seems like it is built for yourself. It enhances the process ...
Read more

UbiOps Pricing

Free
Always free
1 User
SaaS
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Team
Enterprise
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Up to unlimited Users
See all 3 UbiOps pricing levels
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UbiOps Media

UbiOps Demo - CLI
UbiOps offers a Command Line Interface (CLI) to interact with the UbiOps API. You can find more information about the CLI on Github. The command-line interface is available on PyPi and can be installed using PIP.
UbiOps Demo - UbiOps User Interface
UbiOps includes a browser-based user interface in the form of a web app. This web app uses the UbiOps API in the background and thereby provides the user with a way to access the platform functionality.
UbiOps Demo - Pipelines in UbiOps
A pipeline allows you to control data flow through your models and to your data storage. With pipelines, you can automate complex processes and perform highly sophisticated analysis in a reproducible and efficient way. In UbiOps we offer a built-in pipeline functionality that allows you to create...
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4 out of 5 Total Reviews for UbiOps

4.7 out of 5
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4 out of 5 Total Reviews for UbiOps
4.7 out of 5
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4 out of 5 Total Reviews for UbiOps
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Priyanshu K.
PK
Software Engineer (Android)
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about UbiOps?

The best part about UbiOps is that it can turn your Machine Learning Models into scalable, robust and end-to end deployed apllication. Basically it requests the handling of the model and automates the scaling. It transforms Python/R code to web services and those also being microservices and help to manage resources and security as well. Review collected by and hosted on G2.com.

What do you dislike about UbiOps?

Receiving notifications timely has been an issue with UbiOps as the reports regarding pipleine fail/crash does not arrive in time on emails. Also sometimes it becomes difficult to navigate through some areas as a new user as not much resources are provided regarding how to operate the tool. Review collected by and hosted on G2.com.

Recommendations to others considering UbiOps:

If you are a data scientist or aspire to become one, the UbiOps is a must tool to have to supplement daily machine learning tasks. UbiOps takes care of everything for you be it deployment, code management, or maintenance for your machine learning models. We can also make parallel deployments and can train, test and validate our models on the go with amazing speed and support. Review collected by and hosted on G2.com.

What problems is UbiOps solving and how is that benefiting you?

Doing deployment at a code level is always very hard for any data engineer or person working with Machine Learning Models and UbiOps makes deployment of ML models cakewalk. Version controlling provided by the tool and all the functionalities provided also cuts a lot of pain regarding code management. I have relaised that end-to-end deployment of services and maintaining models becomes very manageable with it. Review collected by and hosted on G2.com.

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Abhyuday T.
AT
Research Professional
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about UbiOps?

User friendly approach, and clear ops which is great Review collected by and hosted on G2.com.

What do you dislike about UbiOps?

There are no negatives or cons of the UbiOps, they know what they are doing. Review collected by and hosted on G2.com.

What problems is UbiOps solving and how is that benefiting you?

It helps me streamlining my ML pipelines and managing the workflow. Review collected by and hosted on G2.com.

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Verified User in Construction
UC
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about UbiOps?

We chose to work with UbiOps because of its simplicity and speed, and because it can be integrated with the existing analytics platform. With UbiOps, they can deploy data science code immediately. APIs of the models are automatically created so they can make requests to it and bring the model live without having to worry about the IT. Furthermore, good and quick support. Review collected by and hosted on G2.com.

What do you dislike about UbiOps?

Limits in number of users. No persistent blob storage possibility right now. Review collected by and hosted on G2.com.

What problems is UbiOps solving and how is that benefiting you?

Easily deploying data science code, creating APIs. Review collected by and hosted on G2.com.

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Verified User in Transportation/Trucking/Railroad
AT
Small-Business(50 or fewer emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about UbiOps?

- Easy packaging of scripts / libraries

- Trims down on development time by creating a common interface / platform for all models to be running in.

- Networking and data routing between models is managed by the pipelines. This means that the units of code deployed can be significantly simpler, which cuts down on both development and testing.

- Data exchanged across models can be a mix of structured, unstructured or binary blob data. It's quite flexible.

- Very granular permissions for model and credential usage. Review collected by and hosted on G2.com.

What do you dislike about UbiOps?

- Log navigation needs improvement

- No email notifications for model / pipeline crashes yet. Review collected by and hosted on G2.com.

What problems is UbiOps solving and how is that benefiting you?

Developing and deploying data science projects for predictive maintenance. Review collected by and hosted on G2.com.

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