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Analance vs. Azure Databricks

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Analance
Score 0.0 out of 10
Mid-Size Companies (51-1,000 employees)
According to the vendor, Analance is a robust, scalable end-to-end advanced analytics platform that combines machine learning, artificial intelligence, business intelligence, and data management capabilities in one integrated, self-serve platform. The platform is built to deliver core analytical processing power to ensure data insights are accessible to everyone, performance remains consistent as the system…N/A
Azure Databricks
Score 8.5 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
Pricing
AnalanceAzure Databricks
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AnalanceAzure Databricks
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeRequiredNo setup fee
Additional Details——
More Pricing Information
Features
AnalanceAzure Databricks
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Analance
-
Ratings
Azure Databricks
7.2
4 Ratings
15% below category average
Connect to Multiple Data Sources00 Ratings6.04 Ratings
Extend Existing Data Sources00 Ratings7.64 Ratings
Automatic Data Format Detection00 Ratings7.24 Ratings
MDM Integration00 Ratings8.03 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Analance
-
Ratings
Azure Databricks
6.9
4 Ratings
20% below category average
Visualization00 Ratings6.04 Ratings
Interactive Data Analysis00 Ratings7.83 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Analance
-
Ratings
Azure Databricks
8.7
4 Ratings
6% above category average
Interactive Data Cleaning and Enrichment00 Ratings8.44 Ratings
Data Transformations00 Ratings9.04 Ratings
Data Encryption00 Ratings9.54 Ratings
Built-in Processors00 Ratings7.94 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Analance
-
Ratings
Azure Databricks
7.9
4 Ratings
6% below category average
Multiple Model Development Languages and Tools00 Ratings6.24 Ratings
Automated Machine Learning00 Ratings8.54 Ratings
Single platform for multiple model development00 Ratings8.54 Ratings
Self-Service Model Delivery00 Ratings8.54 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Analance
-
Ratings
Azure Databricks
8.3
4 Ratings
3% below category average
Flexible Model Publishing Options00 Ratings8.04 Ratings
Security, Governance, and Cost Controls00 Ratings8.54 Ratings
Best Alternatives
AnalanceAzure Databricks
Small Businesses
Yellowfin
Yellowfin
Score 8.6 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.6 out of 10
Medium-sized Companies
Reveal
Reveal
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Kyvos Semantic Layer
Kyvos Semantic Layer
Score 9.5 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AnalanceAzure Databricks
Likelihood to Recommend
-
(0 ratings)
7.7
(5 ratings)
Usability
-
(0 ratings)
7.5
(3 ratings)
User Testimonials
AnalanceAzure Databricks
Likelihood to Recommend
Ducen
No answers on this topic
Microsoft
Centralised notebooks are out directly into production. This can lead to poorly engineered code. It is very good for fast queries and our data team are always able to provide what we ask for. It is a big cost to our business so it is important it runs efficiently and returns on our investment.
Verified User
Anonymous
Read full review
Pros
Ducen
No answers on this topic
Microsoft
  • Data Processing and Transformations based on Spark
  • Delta Lakehouse when clubbed with an external cloud storage
  • Governance using Unity Catalog to unify IAM
  • Delta Live Tables is a product, which although relatively newer, has a great potential with the visuals of a pipeline.
Verified User
Anonymous
Read full review
Cons
Ducen
No answers on this topic
Microsoft
  • Intuitive interface
  • Ease of use
  • Providing FAQ or QRGs
Verified User
Anonymous
Read full review
Usability
Ducen
No answers on this topic
Microsoft
The developers are able to switch between Python and SQL in the Notebook which allows the collaboration of SQL analyst and Data scientist. The integration of Mosaic AI allows users to write complex codes in natural languages. Unity catalog has centralized the security and governance features and simplified the process of maintaining it
Verified User
Anonymous
Read full review
Alternatives Considered
Ducen
No answers on this topic
Microsoft
I have found Azure Databricks to be much better than Snowflake for handling bigger, diverse data types. Snowflake is much simpler and better for smaller warehousing. The real time processing is much better in Azure Databricks and we have much more language options. Snowflake is more expensive but simpler to use. Both are great for different needs.
Verified User
Anonymous
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Return on Investment
Ducen
No answers on this topic
Microsoft
  • The support team is amazing, they help you at every stage of the projects, from sales to delivery.
  • On a framework level, it has had an amazing impact and has reduced the clients overall data platform costs by a staggering 65%
  • There has been a 40% Manual work requirement on average for the clients when they move to Azure Databricks Data Platform
Verified User
Anonymous
Read full review
ScreenShots

Analance Screenshots

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