Azure Batch is cloud-scale job scheduling and compute management.
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Azure Databricks
Score 8.6 out of 10
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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…
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OpenText Magellan
Score 9.0 out of 10
N/A
OpenText Magellan Analytics Suite leverages a comprehensive set of data analytics software to identify patterns, relationships and trends through data visualizations and interactive dashboards.
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Pricing
Azure Batch
Azure Databricks
OpenText Magellan
Editions & Modules
No answers on this topic
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Batch
Azure Databricks
OpenText Magellan
Free Trial
No
No
No
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Azure Batch
Azure Databricks
OpenText Magellan
Features
Azure Batch
Azure Databricks
OpenText Magellan
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Batch
-
Ratings
Azure Databricks
7.3
4 Ratings
13% below category average
OpenText Magellan
-
Ratings
Connect to Multiple Data Sources
00 Ratings
6.04 Ratings
00 Ratings
Extend Existing Data Sources
00 Ratings
7.84 Ratings
00 Ratings
Automatic Data Format Detection
00 Ratings
7.44 Ratings
00 Ratings
MDM Integration
00 Ratings
8.03 Ratings
00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Batch
-
Ratings
Azure Databricks
6.8
4 Ratings
22% below category average
OpenText Magellan
-
Ratings
Visualization
00 Ratings
6.04 Ratings
00 Ratings
Interactive Data Analysis
00 Ratings
7.63 Ratings
00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Batch
-
Ratings
Azure Databricks
8.6
4 Ratings
5% above category average
OpenText Magellan
-
Ratings
Interactive Data Cleaning and Enrichment
00 Ratings
8.24 Ratings
00 Ratings
Data Transformations
00 Ratings
9.04 Ratings
00 Ratings
Data Encryption
00 Ratings
9.44 Ratings
00 Ratings
Built-in Processors
00 Ratings
7.84 Ratings
00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Batch
-
Ratings
Azure Databricks
8.0
4 Ratings
5% below category average
OpenText Magellan
-
Ratings
Multiple Model Development Languages and Tools
00 Ratings
6.44 Ratings
00 Ratings
Automated Machine Learning
00 Ratings
8.64 Ratings
00 Ratings
Single platform for multiple model development
00 Ratings
8.44 Ratings
00 Ratings
Self-Service Model Delivery
00 Ratings
8.44 Ratings
00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Batch
-
Ratings
Azure Databricks
8.3
4 Ratings
3% below category average
OpenText Magellan
-
Ratings
Flexible Model Publishing Options
00 Ratings
8.04 Ratings
00 Ratings
Security, Governance, and Cost Controls
00 Ratings
8.64 Ratings
00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Azure Batch
-
Ratings
Azure Databricks
-
Ratings
OpenText Magellan
7.0
2 Ratings
16% below category average
Customizable dashboards
00 Ratings
00 Ratings
7.02 Ratings
Report Formatting Templates
00 Ratings
00 Ratings
7.01 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Azure Batch
-
Ratings
Azure Databricks
-
Ratings
OpenText Magellan
8.3
3 Ratings
3% above category average
Drill-down analysis
00 Ratings
00 Ratings
8.03 Ratings
Formatting capabilities
00 Ratings
00 Ratings
8.03 Ratings
Integration with R or other statistical packages
00 Ratings
00 Ratings
9.01 Ratings
Report sharing and collaboration
00 Ratings
00 Ratings
8.02 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Azure Batch
-
Ratings
Azure Databricks
-
Ratings
OpenText Magellan
8.3
2 Ratings
1% above category average
Publish to Web
00 Ratings
00 Ratings
8.02 Ratings
Publish to PDF
00 Ratings
00 Ratings
8.02 Ratings
Report Versioning
00 Ratings
00 Ratings
9.02 Ratings
Report Delivery Scheduling
00 Ratings
00 Ratings
8.02 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
To better serve their consumers, businesses that often interact with those clients who rely on Microsoft's software products may consider migrating to Azure. This program would be useful in any installation of a Microsoft product or suite that necessitates a test of the target environment. It is simple to maintain and implement, making it an ideal IT backbone. If a client doesn't have any use for this particular instrument, it's not going to be of any benefit to them.
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.
If you do not have a large budget and are a large organization, I would steer clear of Actuate. If you are looking to do very complex washboarding, I would not use them. Your developers have to be very skilled to work with this. Plan to bring in consultants if necessary to help your process. Adhoc reporting is weak. If your pricing is user based and you expand, this could be very expensive.
I am no longer working for the company that was using Actuate but I believe they would continue to use it because the stitching costs would be to high. It would require a complete rewrite of the reports and the never version of Actuate (BIRT) even required an almost complete report rewrite
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
It is quite intuitive to use. It is fit specifically for doing sentiment, emotion, and intention analysis as well as text classification and text summarization. I would have given 10 if it is fit for the purpose of doing image processing and analysis as well. There is a huge market to analyze video and image data.
They both are great tools and provide the services they have implemented. They are two competing companies that have different cultures and forward mission agendas. I would say Azure is a little easier to support through their user interface for the IT support side of things. Both tools are useful and have their own strength and weakness. If you're a dynamic company with a multitude of customers then both are a required tool to have.
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.
It is vastly superior to these in many ways, for complex reporting it is a much more sophisticated solution. Visualizations are very good. Javascript extensibility is very powerful, others don't support this or as well. Pentaho and MS are both OLAP oriented. Pentaho is moving more toward big data, which was not our primary focus. Others are stuck in the Crystal Reports Band metaphor.
Actuate can handle 50 to 60 sub reports inside a report very well.
Dynamically creating the datasource, chart, graph, reports are the main advantages. We can do any level of drilling, and can create a performance matrix dashboard efficiently.