Devart Python Connectors vs. Progress DataDirect

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Devart Python Connectors
Score 9.0 out of 10
N/A
Devart Python Connector is a connectivity solution for accessing database servers and cloud services from Python applications to perform create, read, update, and delete operations on stored data. The solution fully implements the Python DB API 2.0 specification and is distributed as a wheel package for Windows, macOS, and Linux. The solution is used to establish a direct connection to relational and non-relational databases through TCP/IP, eliminating the need for the database client…N/A
Progress DataDirect
Score 4.5 out of 10
N/A
Progress Software offers DataDirect, a data connectivity solution which helps enterprises integrate data across relational, big data and cloud databases.N/A
Pricing
Devart Python ConnectorsProgress DataDirect
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Devart Python ConnectorsProgress DataDirect
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Devart Python ConnectorsProgress DataDirect
Features
Devart Python ConnectorsProgress DataDirect
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Devart Python Connectors
-
Ratings
Progress DataDirect
9.8
2 Ratings
17% above category average
Connect to traditional data sources00 Ratings9.52 Ratings
Connecto to Big Data and NoSQL00 Ratings10.01 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Devart Python Connectors
-
Ratings
Progress DataDirect
9.3
2 Ratings
13% above category average
Simple transformations00 Ratings9.52 Ratings
Complex transformations00 Ratings9.02 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Devart Python Connectors
-
Ratings
Progress DataDirect
9.7
2 Ratings
21% above category average
Data model creation00 Ratings9.52 Ratings
Metadata management00 Ratings9.52 Ratings
Business rules and workflow00 Ratings9.52 Ratings
Collaboration00 Ratings10.01 Ratings
Testing and debugging00 Ratings9.52 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Devart Python Connectors
-
Ratings
Progress DataDirect
9.8
2 Ratings
20% above category average
Integration with data quality tools00 Ratings9.52 Ratings
Integration with MDM tools00 Ratings10.01 Ratings
User Ratings
Devart Python ConnectorsProgress DataDirect
Likelihood to Recommend
-
(0 ratings)
9.5
(2 ratings)
User Testimonials
Devart Python ConnectorsProgress DataDirect
Likelihood to Recommend
Devart
No answers on this topic
Progress Software
Hybrid Data Pipeline lets users consume or share data in can timely and compliant manner regardless of the application they use or the location of the data. It has defined a stringent set of policies and practices around product development and distribution. Enables customers to consume their data in your application using their BI tool of choice.
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Pros
Devart
No answers on this topic
Progress Software
  • Providing JDBC connectivity to CRM applications
  • Raw data integration
  • Customer support
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Cons
Devart
No answers on this topic
Progress Software
  • Seamless data access for BI and Analytics.
  • Helps you comply with industry standards.
  • Cloud and On-premises Data Access with Hybrid Data Pipelines.
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Alternatives Considered
Devart
No answers on this topic
Progress Software
Easy to use with JDBC interface, detailed debug logs for troubleshooting, and easier audit with detailed log. Cost of ingestion is relatively cheaper
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Return on Investment
Devart
No answers on this topic
Progress Software
  • Create custom data access and security policies at a user level.
  • Integrate HDP into your app seamlessly with management and administration API's.
  • Hybrid Data Pipeline service can be deployed on multiple modes behind a load balancer.
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ScreenShots