Marg Qubole

Marg ERP 9+

Qubole's enterprise-grade data processing engines include Apache Spark, Presto, Hive, Quantum, Airflow, and more. It automatically configures, manages, and optimises cloud resources while balancing cost, workloads, and performance requirements. It employs a multi-layer strategy to safeguard the availability, confidentiality, and integrity of consumer information. It provides the industry's most cutting-edge big data financial governance. Its vast list of features include construction of machine learning models, faster data scientific model development, deployment, and iteration; trial monitoring; front end tool integrations out of the box including RStudio, H2O.ai, and Data robot; schedulers and Airflow-anchored end-to-end workflows; managed notebooks - offline (serverless) editing. One of its most beneficial features is automated infrastructure provisioning - automatically reduce costs while accommodating an increase in concurrent users without affecting performance. No matter how many users or model versions there are, the

Pricing of Marg ERP-Pharmaceutical Industry Software

Pricing plans

Introduce pricing plans

Simple, transparent pricing that grows with you. Try any plan free for 30 days.

Free Test Drive

USD 0.00 /

USD0.00

Perfect for your business requirements and platform usage.

BOOK A DEMO
WHAT YOU WILL GET
  • Test-featured environment
  • Limited to 1 user
  • up to 2 weeks
  • Includes a sample data set
  • No cloud infrastructure costs
  • Test-featured environment
  • Limited to 1 user
  • up to 2 weeks
  • Includes a sample data set
  • No cloud infrastructure costs

Qubole Data Platform - Enterprise Edition

USD 0.14 /

USD0.00

Perfect for your business requirements and platform usage.

BOOK A DEMO
WHAT YOU WILL GET
  • Per QCU per hour**
  • Plus Premium Support
  • Adaptive Serverless Architecture
  • Contact us for further details
  • Per QCU per hour**
  • Plus Premium Support
  • Adaptive Serverless Architecture
  • Contact us for further details

Key Specification

Other Categories:
Deployment:
Customer Support:
Customization: No
Languages Support: English

Who uses Qubole

Personal
Personal
StartUps
StartUps
SMEs
SMEs
Agencies
Agencies
Enterprises
Enterprises

Company Details

  • Company Name: Qubole
  • Headquarter: San Francisco, California United States

Qubole Description

Key Features & Specifications

  • Trend Indicators
  • Strategic Planning
  • Key Performance Indicators
  • Data Analysis
  • Dashboard
  • Ad hoc Reports
  • Ad hoc Query
  • Ad hoc Analysis
  • Profitability Analysis
  • Benchmarking

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User Reviews

WRITE A REVIEW
quotes

What do you like best?

I like that Qubole supports many query engines and has a rich array of features.

What do you dislike?

Qubole has a very glitchy, poppy interface and presents many unclear error signals and warnings.

What problems are you solving with the product? What benefits have you realized?

We use Qubole for analysis, exploration, and mostly to work out queries we want to run as part of a production workflow later.

- User in Computer Software

quotes

Suppliers be warned, if you provide services to this business that are legitimate and legally valid, they will revert to charge backs on that card in an attempt not to pay for your goods or services. You will be forced to threaten court action and then deal with the emotion of them crying foul as you have discovered their unique brand of supplier customer relations. Please insist on BACS transfers and cleared funds before you do any work for them.

- Pablo Gomez

quotes

What do you like best?

the Support system

Spark ,Airflow deployments

Team that works with us on cutomer support

What do you dislike?

Lack of innovation on ML AI

Lack of serverless deployments

The technology is 2 years outdated and not growing

Need solution experts to help partner soultions in qubole systems

Recommendations to others considering the product:

please improve ml and ai offering

Dont just say spark can do it..

have more blogs

technical sessions on how to do it.

learn from products like sagemaker ,cloudml and others on how to solve ml ai piece for organization

build automatic suites for anomaly detection unsupervised learning etc.

share code and engineering experitse through blog and explain how to leverage the qubole product.

Make serverless implementation like presto glue .

..

build deeplearning applications for clients and share the experience with others functionally and technically

have redis for storing hot data

What problems are you solving with the product? What benefits have you realized?

Scheduling.

Big data workloads with spark.

Used presto for some time but now there are seveless options from Amzon which has replaced all of our spark workloads

- Administrator in Marketing and Advertising

quotes

What do you like best?

I like saved queries & history feature. I very often need to reference results elsewhere

What do you dislike?

-sorting output only sorts on first 100 rows, not on all of the data.

-downloading data is buried in a dropdown

-its not terribly clear when you are editing an existing query vs creating a new one.

What problems are you solving with the product? What benefits have you realized?

analyzing volume, quality of data on my website. i have increased the quality and quantity as a result.

- User in Internet

quotes

What do you like best?

It's open source and it works well, when it works.

What do you dislike?

Having to wait for the cluster to start to edit notebooks is a major hassle.

Most of the time you can't even visualise the notebooks without a cluster being running.

Environments don't seem to work most of the time.

The libraries installed by default are very old and often incompatible.

Zeppelin doesn't have histogram (one of the most important plots ever) as part of its easy-plotting feature (if I'm adding more code to use the bar plots then I might as well use a proper plotting library).

Cluster setup is not very intuitive.

The whole thing just crashes if you display too much data (e.g.: forget to limit the number of rows).

Plotly's tool bar is not rendered properly (buttons are displayed all over the place, instead of their appropriate locations).

Too many autoscaling issues.

Very cryptic error messages and exceptions.

The notebook saving mechanism sometimes loses data (i.e.: characters I just typed disappear).

Strange bugs reading parquet files from S3 (only works on a certain clusters).

Strange bugs changing clusters (error messages - I often have to export the notebook and reupload them just to change clusters!).

Recommendations to others considering the product:

Try it first. See if you can put up with the current issues and solve high-priority problems before committing to it.

What problems are you solving with the product? What benefits have you realized?

Just using machine learning to train predictive models for blast design.

- User in Mining & Metals

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Frequently asked questions

Everything you need to know about discovering, comparing, and choosing the right AI software for your business.

Qubole has 2 plans,

  • Free Test Drive USD 0.00
  • Qubole Data Platform - Enterprise Edition USD 0.14

Qubole is the AI Business Intelligence Software used for the below functionalities.

Top 5 Qubole features

  • Trend Indicators
  • Strategic Planning
  • Key Performance Indicators
  • Data Analysis
  • Dashboard

Qubole is allowed 0 Days Free Trial.

Qubole provides Help Guides,Blogs,Video Guides for the software training.

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