Azure Data Factory vs. OpenText Vertica

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Factory
Score 8.3 out of 10
N/A
Microsoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources using more than 80 natively built and maintenance-free connectors at no added cost. Focus on data—the serverless integration service does the rest.N/A
OpenText Vertica
Score 10.0 out of 10
N/A
The Vertica Analytics Platform supplies enterprise data warehouses with big data analytics capabilities and modernization. Vertica is owned and supported by OpenText.N/A
Pricing
Azure Data FactoryOpenText Vertica
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data FactoryOpenText Vertica
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
Community Pulse
Azure Data FactoryOpenText Vertica
Features
Azure Data FactoryOpenText Vertica
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Data Factory
8.1
8 Ratings
1% below category average
OpenText Vertica
-
Ratings
Connect to traditional data sources9.08 Ratings00 Ratings
Connecto to Big Data and NoSQL7.18 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Data Factory
8.0
8 Ratings
1% below category average
OpenText Vertica
-
Ratings
Simple transformations9.08 Ratings00 Ratings
Complex transformations7.08 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Data Factory
7.2
8 Ratings
8% below category average
OpenText Vertica
-
Ratings
Data model creation7.16 Ratings00 Ratings
Metadata management7.07 Ratings00 Ratings
Business rules and workflow7.08 Ratings00 Ratings
Collaboration7.97 Ratings00 Ratings
Testing and debugging6.18 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Azure Data Factory
7.0
8 Ratings
12% below category average
OpenText Vertica
-
Ratings
Integration with data quality tools6.18 Ratings00 Ratings
Integration with MDM tools8.07 Ratings00 Ratings
Best Alternatives
Azure Data FactoryOpenText Vertica
Small Businesses
Skyvia
Skyvia
Score 10.0 out of 10
Google BigQuery
Google BigQuery
Score 8.7 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Oracle Exadata
Oracle Exadata
Score 9.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Data FactoryOpenText Vertica
Likelihood to Recommend
8.1
(8 ratings)
8.0
(7 ratings)
Usability
8.0
(1 ratings)
-
(0 ratings)
Support Rating
7.0
(1 ratings)
7.9
(2 ratings)
User Testimonials
Azure Data FactoryOpenText Vertica
Likelihood to Recommend
Microsoft
Well-suited Scenarios for Azure Data Factory (ADF): When an organization has data sources spread across on-premises databases and cloud storage solutions, I think Azure Data Factory is excellent for integrating these sources. Azure Data Factory's integration with Azure Databricks allows it to handle large-scale data transformations effectively, leveraging the power of distributed processing. For regular ETL or ELT processes that need to run at specific intervals (daily, weekly, etc.), I think Azure Data Factory's scheduling capabilities are very handy. Less Appropriate Scenarios for Azure Data Factory: Real-time Data Streaming - Azure Data Factory is primarily batch-oriented. Simple Data Copy Tasks - For straightforward data copy tasks without the need for transformation or complex workflows, in my opinion, using Azure Data Factory might be overkill; simpler tools or scripts could suffice. Advanced Data Science Workflows: While Azure Data Factory can handle data prep and transformation, in my experience, it's not designed for in-depth data science tasks. I think for advanced analytics, machine learning, or statistical modeling, integration with specialized tools would be necessary.
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OpenText
Vertica as a data warehouse to deliver analytics in-house and even to your client base on scale is not rivaled anywhere in the market. Frankly, in my experience it is not even close to equaled. Because it is such a powerful data warehouse, some people attempt to use it as a transactional database. It certainly is not one of those. Individual row inserts are slow and do not perform well. Deletes are a whole other story. RDBMS it is definitely not. OLAP it rocks.
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Pros
Microsoft
  • It allows copying data from various types of data sources like on-premise files, Azure Database, Excel, JSON, Azure Synapse, API, etc. to the desired destination.
  • We can use linked service in multiple pipeline/data load.
  • It also allows the running of SSIS & SSMS packages which makes it an easy-to-use ETL & ELT tool.
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OpenText
  • Extremely fast query performance - Vertica is one of the fastest query engines out there.
  • Scales to TBs - Scales reasonably well up to 10-20 nodes and 10 - 100s of TB of data.
  • Easy to Use - Fairly easy to user, we made quite some headway with just 1 person running it for a while.
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Cons
Microsoft
  • Limited source/sink (target) connectors depending on which area of Azure Data Factory you are using.
  • Does not yet have parity with SSIS as far as the transforms available.
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OpenText
  • Could use some work on better integrating with cloud providers and open source technologies. For AWS you will find an AMI in the marketplace and recently a connector for loading data from S3 directly was created. With last release, integration with Kafka was added that can help.
  • Managing large workloads (concurrent queries) is a bit challenging.
  • Having a way to provide an estimate on the duration for currently executing queries / etc. can be helpful. Vertica provides some counters for the query execution engine that are helpful but some may find confusing.
  • Unloading data over JDBC is very slow. We've had to come up with alternatives based on vsql, etc. Not a very clean, official on how to unload data.
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Usability
Microsoft
So far product has performed as expected. We were noticing some performance issues, but they were largely Synapse related. This has led to a shift from Synapse to Databricks. Overall this has delayed our analytic platform. Once databricks becomes fully operational, Azure Data Factory will be critical to our environment and future success.
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OpenText
No answers on this topic
Support Rating
Microsoft
We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue
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OpenText
I haven't had any recent opportunity to reach out to Vertica support. From what I remember, I believe whenever I reached out to them the experience was smooth.
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Alternatives Considered
Microsoft
The easy integration with other Microsoft software as well as high processing speed, very flexible cost, and high level of security of Microsoft Azure products and services stack up against other similar products.
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OpenText
Vertica performs well when the query has good stats and is tuned well. Options for GUI clients are ugly and outdated. IO optimized: it's a columnar store with no indexing structures to maintain like traditional databases. The indexing is achieved by storing the data sorted on disk, which itself is run transparently as a background process.
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Return on Investment
Microsoft
  • It is very useful and make things easier
  • Debugging can improve
  • Its better suited than other products with the same objective
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OpenText
  • Positive impact on ROI by being able to get customer insights in real-time.
  • Positive ROI through reduced time to set-up and maintain Vertica instances.
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ScreenShots