Azure Databricks vs. Explorium

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Databricks
Score 8.6 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
Explorium
Score 7.7 out of 10
N/A
Explorium, headquartered in San Mateo, provides an External Data Platform that automatically discovers thousands of relevant data signals and uses them to improve analytics and machine learning. The automated Explorium Platform enables organizations to discover and use third party data to improve predictions and ML model performance. With faster, better insights, organizations can increase revenue, streamline operations and reduce risks.N/A
Pricing
Azure DatabricksExplorium
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure DatabricksExplorium
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Azure DatabricksExplorium
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Databricks
8.1
2 Ratings
3% below category average
Explorium
7.8
1 Ratings
7% below category average
Connect to Multiple Data Sources6.42 Ratings8.01 Ratings
Extend Existing Data Sources9.02 Ratings8.01 Ratings
Automatic Data Format Detection9.12 Ratings7.01 Ratings
MDM Integration8.01 Ratings8.01 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Databricks
6.2
2 Ratings
30% below category average
Explorium
6.5
1 Ratings
25% below category average
Visualization5.82 Ratings6.01 Ratings
Interactive Data Analysis6.72 Ratings7.01 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Databricks
8.1
2 Ratings
0% below category average
Explorium
6.5
1 Ratings
22% below category average
Interactive Data Cleaning and Enrichment7.02 Ratings6.01 Ratings
Data Transformations8.92 Ratings6.01 Ratings
Data Encryption9.12 Ratings7.01 Ratings
Built-in Processors7.22 Ratings7.01 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Databricks
8.3
2 Ratings
1% below category average
Explorium
7.3
1 Ratings
14% below category average
Multiple Model Development Languages and Tools8.22 Ratings7.01 Ratings
Automated Machine Learning8.92 Ratings8.01 Ratings
Single platform for multiple model development8.12 Ratings8.01 Ratings
Self-Service Model Delivery8.12 Ratings6.01 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Databricks
8.6
2 Ratings
1% above category average
Explorium
8.0
1 Ratings
6% below category average
Flexible Model Publishing Options8.02 Ratings8.01 Ratings
Security, Governance, and Cost Controls9.12 Ratings8.01 Ratings
Best Alternatives
Azure DatabricksExplorium
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 8.6 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.6 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure DatabricksExplorium
Likelihood to Recommend
9.6
(3 ratings)
8.0
(1 ratings)
Usability
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
Azure DatabricksExplorium
Likelihood to Recommend
Microsoft
Suppose you have multiple data sources and you want to bring the data into one place, transform it and make it into a data model. Azure Databricks is a perfectly suited solution for this. Leverage spark JDBC or any external cloud based tool (ADG, AWS Glue) to bring the data into a cloud storage. From there, Azure Databricks can handle everything. The data can be ingested by Azure Databricks into a 3 Layer architecture based on the delta lake tables. The first layer, raw layer, has the raw as is data from source. The enrich layer, acts as the cleaning and filtering layer to clean the data at an individual table level. The gold layer, is the final layer responsible for a data model. This acts as the serving layer for BI For BI needs, if you need simple dashboards, you can leverage Azure Databricks BI to create them with a simple click! For complex dashboards, just like any sql db, you can hook it with a simple JDBC string to any external BI tool.
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Explorium
We need to constantly measures costs in our health business and we forecast pricing acoording to several values and conditions. Explorium works quite good analysing simple datasets, but when hierahies start to increase, meaning 6-10 olap variables, the system start to slow down quite a bit until was no longer to retrieve the info we required. This is why we test several tools, because even world-class solutions we purchase, don´t do the job we need. Explorium is a good tool, but complexity will be a minus in some scenarios.
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Pros
Microsoft
  • SQL
  • Data management
  • Data access
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Explorium
  • Data ready for consumption.
  • Good enough relationships between entities.
  • Nice integration with other players. That's a good thing.
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Cons
Microsoft
  • Their pipeline workflow orchestration is pretty primitive. Lacks some common features
  • Workspace UI and navigation requires steep learning curve
  • Personally, I am not fond of their autosave feature. Its dangerous for production level notebooks scripts
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Explorium
  • relationships between entities could be better. Would be great to have scenarios.
  • The data normalized needs improvement. Works pretty good, but it needs more refinement when using AND-OR Formulas that came from various datasets.
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Usability
Microsoft
Based on my extensive use of Azure Databricks for the past 3.5 years, it has evolved into a beautiful amalgamation of all the data domains and needs. From a data analyst, to a data engineer, to a data scientist, it jas got them all! Being language agnostic and focused on easy to use UI based control, it is a dream to use for every Data related personnel across all experience levels!
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Explorium
No answers on this topic
Alternatives Considered
Microsoft
Against all the tools I have used, Azure Databricks is by far the most superior of them all! Why, you ask? The UI is modern, the features are never ending and they keep adding new features. And to quote Apple, "It just works!" Far ahead of the competition, the delta lakehouse platform also fares better than it counterparts of Iceberg implementation or a loosely bound Delta Lake implementation of Synapse
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Explorium
The simplicity of the tool is an advantage. The integrations as well work quite well. All these solutions have worked well until some point and what we have discovered over the years is that we need to combine various solutions. There is no such thing as one tool ruling them all. Explorium works quite well until we start testing more advanced relations, and here, the tool is promising but requires a little work.
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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
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Explorium
  • Positive. The time save in analysis per hour of internal consulting was the best compared to our SAP and Cognos solutions.
  • In term of objetives works as stated, but when using multi-conditions of dataset, start the issues.
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ScreenShots