TrustRadius

Azure Databricks vs. Kimola Cognitive

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Databricks
Score 8.2 out of 10
N/A
Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. The solution includes autoscaling and auto-termination to improve…N/A
Kimola Cognitive
Score 10.0 out of 10
Mid-Size Companies (51-1,000 employees)
Kimola Cognitive is a Machine Learning Platform that enables users to grab reviews from 20+ channels and analyze + classify customer feedback -or any text data- automatically. Top features of Kimola Cognitive are: Scrape Web and Collect Reviews Data analysis starts with data collection, and Kimola offers a web browser extension for marketing and research professionals to scrape content from the web to analyze and classify. It supports over 20 mediums, such as Amazon, Yelp,…
$199
per month Query
Pricing
Azure DatabricksKimola Cognitive
Editions & Modules
No answers on this topic
Starter
$199
per month 10.000 Queries
Standard
$399
per month 35.000 Queries
Business
$999
per month 100.000 Queries
Offerings
Pricing Offerings
Azure DatabricksKimola Cognitive
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details—- 20% discount on annual plan for each package is available. - Pre-built ML Models are free to use for every client. - Scraping is free to use for every client. - There is no user seat limit.
More Pricing Information
Features
Azure DatabricksKimola Cognitive
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Databricks
9.7
1 Ratings
14% above category average
Kimola Cognitive
-
Ratings
Connect to Multiple Data Sources10.01 Ratings00 Ratings
Extend Existing Data Sources9.01 Ratings00 Ratings
Automatic Data Format Detection10.01 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Databricks
4.0
1 Ratings
71% below category average
Kimola Cognitive
-
Ratings
Visualization4.01 Ratings00 Ratings
Interactive Data Analysis4.01 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Databricks
8.5
1 Ratings
3% above category average
Kimola Cognitive
-
Ratings
Interactive Data Cleaning and Enrichment7.01 Ratings00 Ratings
Data Transformations8.01 Ratings00 Ratings
Data Encryption10.01 Ratings00 Ratings
Built-in Processors9.01 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Databricks
9.0
1 Ratings
6% above category average
Kimola Cognitive
-
Ratings
Multiple Model Development Languages and Tools10.01 Ratings00 Ratings
Automated Machine Learning8.01 Ratings00 Ratings
Single platform for multiple model development9.01 Ratings00 Ratings
Self-Service Model Delivery9.01 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Databricks
9.0
1 Ratings
5% above category average
Kimola Cognitive
-
Ratings
Flexible Model Publishing Options8.01 Ratings00 Ratings
Security, Governance, and Cost Controls10.01 Ratings00 Ratings
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User Ratings
Azure DatabricksKimola Cognitive
Likelihood to Recommend
8.5
(2 ratings)
10.0
(1 ratings)
User Testimonials
Azure DatabricksKimola Cognitive
Likelihood to Recommend
Microsoft
Having access to all databases and tables in one place is what has helped me and my team to function better. The in built functionality/access to SQL and Python is definitely an added bonus! The icing on the cake is the ability to export your data into an Excel spreadsheet for additional analysis. If you have less to no working knowledge of SQL or Python, its better to look at alternatives.
Verified User
Anonymous
Read full review
Kimola Cognitive
Since using the tool for 4 months we have been extremely pleased with its performance. I've decided to share this review after receiving an email from the Kimola Team, and once I'm in the consumer insights business, I'll definitely support them. The interface and design are fantastic, with a great choice of colors, and Kimola has consistently introduced numerous improvements to the product since we first started using it. The ease of use is unmatched, allowing us to gain new insights and perspectives that were previously unattainable
Verified User
Anonymous
Read full review
Pros
Microsoft
  • Consistently great performance when dealing with huge scale data with the help of spark architecture
  • Magic commands such as spark sql, pyspark, scala . This comes really handy in day to day work
  • Integration with other Azure services is super smooth and robust
Pranshu Gupta | TrustRadius Reviewer
Pranshu Gupta
Associate Data Engineer
Read full review
Kimola Cognitive
  • Despite exploring various software options to analyze client feedback, none have proven as specific and accurate as Kimola Cognitive.
Verified User
Anonymous
Read full review
Cons
Microsoft
  • Intuitive interface
  • Ease of use
  • Providing FAQ or QRGs
Verified User
Anonymous
Read full review
Kimola Cognitive
  • I believe that more language support should be added and it should reach more customers.
Verified User
Anonymous
Read full review
Return on Investment
Microsoft
  • Helped reduce time for collecting data
  • Reduced cost in maintaining multiple data sources
  • Access for multiple users and management of users/data in a single platform
Verified User
Anonymous
Read full review
Kimola Cognitive
  • In order to create a custom model, if you are not experienced in this field, you need to watch a video on youtube. This question has little to do with Kimola.
Verified User
Anonymous
Read full review
ScreenShots

Kimola Cognitive Screenshots

Screenshot of After signing up, Kimola Cognitive's home page full of support articles, resources and pre-built models are displayed.Screenshot of Reports can be generated after choosing a sentiment and classification model, and with a PDF export.Screenshot of Kimola Cognitive comes with a gallery of ready-to-use Machine Learning models for the most common use cases like sentiment and hate speech analysis along with consumer conversations around SaaS products, mobile apps, games.Screenshot of Kimola Cognitive also supports creating custom Machine Learning models by training a dataset. The platform takes care of choosing the best performing statistical model to ensure accuracy. The custom machine learning models are hosted on Kimola Cognitive and can be used via the user interface and API.Screenshot of Reviews can be scraped from 20+ mediums such as Amazon, Etsy, Booking, Walmart, Reddit etc. with Kimola Cognitive's browser extension.Screenshot of Marketing materials can be created with a GPT integration, from creating SWOT analyses to product descriptions.