Configuration of permissions can be a bit confusing at times.

Excellent suite with a lot of tools to manage your space and invite others to collaborate with you on the same pages.

Google cloud platform is fantastic! it keeps all of the wonderful google apps in one useful place.

Google Cloud is easy to learn, simple to use, and provides comfort that the things important to you are safe and secure.

The ease with which Google Cloud Platform uses it great. Creating events and having our people use the platform is very easy and very streamlined.

Google Cloud is a cost effective alternative to S3 and continually improving -watch this space.

In case you have low Internet speed at your workplace, you will surely struggle with this platform.

Sometimes the security system finds suspicious activity on the server. Alarms always turn out to be false, but it is impossible to use the platform during such failures.

Awesome platform and one I would highly recommend. Easy to use and having google backing it is a huge upside.

I love how I can store everything in separate folders,the display and navigation are so easy to use and very nice looking.

Customer support is the best. Web-based console to manage your account.

Have liked what I was able to use if for in my small business, better priced.

Guides Provided by Google is also very good and easy to understand. Ability to create your own ML model and train it without doing it on your own PCs.

Things are very well managed, I use BigQuery to analyse the data. Things are great there, the integrations/options are great.

The number of tools that this platform offers is great, very easy to integrate with other Google services if you make use of them, such as Gmail and youtube.

It is true that currently its on number 3 , but with growth and features added I am confident it will be.

It is super easy to use it, almost like natural. I have an android phone, and I am basically doing a transition to rely on google apps for convenience.

It is charged in dollar which makes it very expensive for people living in countries where the local currency is weak compared to the US dollar.

And the reputation of Google precedes. But the most interesting thing that caught me is the flexible pricing that is both affordable and scalable.

I love the amount of storage I get compared to the low prices that I'm paying. I love how well it is organized and always backed up.

Below are some of the best and most reliable services you will be getting along with this platform. Google Kubernetes Engine: is one of the best managed K8s engine.

What I dislike is that there are some features which are not available and that's what make it unfeasible. Plus, the billing options are not front and center.

Overall this has been great for my needs. The many possibilities offered through Google apis and GCP products actually helped me thinking of new ways to solve some issues I was facing.

I really like the free tier of the many softwares and the easy integration of, for example, App engine. The sync with Firebase is awesome too.

What I loved the most about this program is its ease of use, it is also very cost friendly.

I hate knowing that my stuff is just sitting on a cloud and can be hacked one day. It is scary to know that it is on the internet.

I like the ease of use, and the integration with my other Google products. Its seamless, and meshes perfectly with my way of doing things.

What I lean toward least about this product is that occasionally records are frequently incidentally lost. It can turn out to be extremely hard to search out some of my archives.

The customer care are also very helpful and give a prompt solution.

I like having a safe and secure space to save all my media information. It is user friendly once you play around with it a little.

I do worry about things disappearing, breaches, or crashes. Maybe that's a little paranoia on my part, but we have no guarantees.

Besides the customer support, which is actually really hard to find in any hosting company, the product is good.

I think the cost is quite good depending on your requisites, and the global availability of the platform is fantastic.

I love the ease of storage. This is great for me as a student to store my work easily and safely.

Amazing experience, easy, cheap and customer support are helpful and friendly.

I think as with other Google products, it's the best you can get. The features are great and it's so easy to use.

Google cloud has been very user friendly and I love being able to back up my photos and data.

Navigation on the pages can be confusing at times and some information is not updated for the latest version.

The best platform for Cloud Computing, very robust, with all services that you need for you application.

I love how confident I am in Google to protect and keep all my files, pictures, documents secure.

In general I have found that I use R much less now and do most of my analysis in KNIME. KNIME is primary drag and drop and requires little to no coding.

In the field of geospatial data analysis, KNIME lags as there are no specialized modules for it, otherwise  it gets the work done.

The software is specially useful when you need to explain these models in a stepwise manner to team members who do not possess the technical expertise in programming.

That is not to say that the documentation is poor, you will probably find a fix to most, if not all problems that you face through some searching.

As I progressed and needed more functions and more custom solutions, I started using Python scripts and solved it like that. So it gave me all these abilities.

I struggled a bit at the beginning and the only course I saw from Knime was expensive.

I find the interface confusing and it can take you a while to learn to properly operate the features. The program also requires a lot of computing power but this for any program of this type.

So it is really good and intuitive with its graphical interface. For example you understand train-test split very well because you literally see the split as you work on it.

AI have tried to integrate knime with the Jupiter notebooks but that was failed.

They also have extensions to integrate other tools like R and Python into the workflows. Best of all you can share your workflows with others - great for reproducible research.

It is a great program that it'll save you loads of time.

The support community on the KNIME website is very active and responsive. To extend the features you can purchase KNIME server.

Community continuously develops Nodes so its like an organism that grows.

KNIME is great with data prep and blend as long as the data set is small to medium in size (< 4GB).

Nodes that try to auto-guess column types often get it wrong with multiple files, there is a workaround that by creating a more complex workflow.

Overall KNIME is a solid ETL tool which can automate most of the daily workflows.

Due to this, any complex workflow can be created. Like getting data from a DB, cleansing it, filtering it, blending it with another data source and reporting it is just a breeze in KNIME.

Custom needs are hard to carry out. Functions have limited abilities and parameters.

There were areas where we struggled and that was when models were more complex (> 50 variables) and being able to deploy and schedule jobs.

KNIME allows you to focus on the data science and not the programming to get there. The point and click solution is easy to use.

The ability to customize the settings for most of the tools allows the user to adjust the output. Even more technical settings, like hyperparameter tuning, can be done in the tool UI.

There are a ton of capabilities of the tool that are built in, and there are even more that are available online, like AutoML.

I have had a very positive experience with KNIME and like it a lot more than other drag and drop machine learning tools I have tried out.

Performed data mining and predictive analytics on this software. Its easy to master and customer support is good.

Of course, it is more limited than a programming language, and if you're familiar with building models programmatically, there is a learning curve that will slow you down and limit you at first.

Can be integrated with external applications like R, Python.

The UI is confusing and hard to navigate. The program takes long to load.

The interface is user friendly, the modules are categorized and available for drag and drop on the workflow.

Data visualization is weak and relatively primitive. Model development is easy but deployment is hard.

KNIME desktop is a powerful tool for building analytical workflows. The visual interface is extremely helpful.

I believe it can sometimes be difficult to debug since it is not documented the same way as python or R studio.

The visual flow of data makes it easy to understand and interpret it.

Great software for modelling any data job - its easy to work with.

There are multiple features that is great about KNIME.

US Dollar

Featuring G-Suite and GCP, Google Cloud is a platform that provides a reliable and easy-to-use set of solutions that can be used to tackle the toughest challenges in any type of industry. It provides secure storage options, integrated data analytics products and powerful computation options. With its G-Suite platform, users can establish team chats and collaborate on projects through productivity tools like Google Docs, Hangouts, Calendar and Drive. Also, G-Suite provides customization options for Gmail accounts of users.

GCP data centers all around the globe consist of physical assets which include computers, hard drives and other virtual machines that help smooth distribution of resources, which provides redundancy in case of any failure or latency reduction. Providing Global, regional and zonal resources, GCP has managed to bring people into a serverless environment which has eliminated the need for any infrastructure.

The AppEngine on GCP helps scale the system to automatically provide the required resources. Any updates and other activities like app hosting and monitoring are taken care of. With a graphical user interface, Google has put the world on a single platform for users to carry out operations with utmost accuracy.


LongDescription

User Management

Application Management

Cost Management

High Volume Processing

Graphical User Interface

Document Storage

Database Support

Access Controls/Permissions

Data Storage Management

Data Synchronization

Templates

Virtual Machine Monitoring

Workflow Configuration

Task Scheduling

Secure Login

Virtual Server

Natural Language Search

Data Extraction

Customer Database

Calendar Management

Collaboration Tools

Data Capture and Transfer

Full Text Search

Scheduling

Data Import/Export

File Transfer

Supply Monitoring

Process/Workflow Automation

Virtual Personal Assistant (VPA)

Capacity Analytics

For Healthcare

Bandwidth Monitoring

Configurable Workflow

Virtual Machine Encryption

For Retail

Server Monitoring

ETL - Extract Transfer Load

Data Dictionary Management

Compliance Management

Cost Analysis

Data Security

Data Cleansing

Data Connectors

Data Discovery

Configuration Management

Role-Based Permissions

Data Virtualization

Multi-Cloud Management

Workflow Management

Email Management

Reporting & Statistics

Predictive Analytics

Network Monitoring

Data Visualization

Multiple Data Sources

Automated Scheduling

Data Blending

Data Warehousing

Service Level Agreement (SLA) Management

Chat/Messaging

Virtual Machine Migration

Performance Analysis

Billing & Provisioning

Business Process Automation

For Sales Teams/Organizations

Dashboard

Multi-Language

Metadata Management

Cloud Computing

Demand Monitoring

Workflow Approval

Multiple Programming Languages Supported

Chatbot

Speech Recognition

Log Access

Compliance Tracking

Relational Database Management

Reporting/Analytics

Prioritization

Remote Access/Control

Load Balancing

Data Migration

Backup and Recovery

Machine Learning

Performance Monitoring

Secure Data Storage

Data Replication

Database Conversion

In-Database Processing

Alerts/Escalation

Threat Response

Testing/QA Management

Requirements Management

Endpoint Protection

Integrated Development Environment

Activity Monitoring

Release Management

Device Management

Free Tier: New customers get $300 in free credits to fully explore and conduct an assessment of Google Cloud. You won’t be charged until you upgrade.
Free Usage Per Month: All customers get free hands-on experience with 20+ popular products, including Compute Engine and Cloud Storage, up to monthly limits.
Each product has its specific pricing and is usually charged per usage per month. Please refer to the specific product pricing page on Google cloud Website for more details.

Email/Help Desk

FAQs/Forum

Knowledge Base

Phone Support

Chat

Self-Employed

2-10

11-50

51-200

201-500

501-1000

1000+

Google Cloud

In Person

Live Online

Webinars

Documentation

Videos

KNIME empowers all data users to build, collaborate, and upskill on data science. KNIME offers complete support across the data science life cycle, from creating analytical models to deploying them and sharing insights across the enterprise.

Users of KNIME tend to wear one of four hats:

Data experts can accelerate time to insight, collaborate with other disciplines, and empower upskilling across business functions. They can spend time where it matters because KNIME lets them:
* Connect to any data, access any analytic technique, and the choice to code in any language
* Get to insights faster using a low-code/no-code interface
* Eliminate repetitive, manual work by creating reusable, automated workflows
* Save and share Python scripts, analytical models, or data processes for reuse
* Provide blueprints that non-experts can learn and upskill from independently
* Speed up learning by accessing workflow samples by KNIME community members and experts
* Validate models with performance metrics and carry out cross validation to guarantee model stability
* Automatically document each step of the analysis visually
* Maintain models and fix mistakes more easily with version control, debugging, tracking, and auditing

Business & domain experts can access and blend data, perform advanced analyses, and deliver timely insights, all in a visual, interactive environment that eliminates the need to code. They can prep data faster and do deeper analyses because KNIME lets them:
* Connect to all data sources and access any file format in one visual environment.
* Transform data self-sufficiently in the same visual environment without IT dependency
* Use visual workflows from others as blueprints to get started faster
* Automate repetitive data tasks like data prep and reporting with reusable workflows
* Minimize the time to spot and fix errors with each step of the analysis clearly visible, and track changes with version control
* Access thousands of self-explanatory nodes to perform the actions needed on data
* Create workflows of any complexity by joining nodes together via drag and drop

End users can get instant insights with custom-built, interactive data apps without needing to know how to code or build analytical models. They can make faster, data-driven decisions with advanced analytics at their disposal because KNIME lets them:
* Interact with analyses of any complexity level with an intuitive data app UI
* Easily access data apps via the browser with a secure connection or shareable link
* Identify patterns with job-relevant data apps and provide feedback to improve the model
* Lower the barrier between them and data science teams, enhancing analytics output accuracy
* Choose to get insights from simple dashboards or complex, interactive visualizations
* Explore data and perform ad hoc analyses using interaction points within data apps
* Avoid vendor lock-in and adapt to changing business needs with an extensible platform

MLOps and IT teams use KNIME to securely deploy, manage, and scale with a single installation while ensuring enterprise-grade security and governance. KNIME enables them to:
* Safely deploy and monitor models from one single place
* Ensure adherence to best practices
* Meet enterprise needs while ensuring data security and governance
* Securely productionization data science at scale

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