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
Ratings
16% above category average
Connect to traditional data sources00 Ratings9.50 Ratings
Connecto to Big Data and NoSQL00 Ratings10.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Devart Python Connectors
-
Ratings
Progress DataDirect
9.3
Ratings
13% above category average
Simple transformations00 Ratings9.50 Ratings
Complex transformations00 Ratings9.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Devart Python Connectors
-
Ratings
Progress DataDirect
9.7
Ratings
20% above category average
Data model creation00 Ratings9.50 Ratings
Metadata management00 Ratings9.50 Ratings
Business rules and workflow00 Ratings9.50 Ratings
Collaboration00 Ratings10.00 Ratings
Testing and debugging00 Ratings9.50 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Devart Python Connectors
-
Ratings
Progress DataDirect
9.8
Ratings
19% above category average
Integration with data quality tools00 Ratings9.50 Ratings
Integration with MDM tools00 Ratings10.00 Ratings
Best Alternatives
Devart Python ConnectorsProgress DataDirect
Small Businesses
Skyvia
Skyvia
Score 9.9 out of 10
Skyvia
Skyvia
Score 9.9 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Devart Python ConnectorsProgress DataDirect
Likelihood to Recommend
-
(0 ratings)
9.5
(0 ratings)
User Testimonials
Devart Python ConnectorsProgress DataDirect
Likelihood to Recommend
No answers on this topic
Data ingestion and connectivity to CRM applications made easy by Progress data direct JDBC interface. The interface integrates well with Spark and AWS Glue etc. May not be a great fit for ingestion of very large objects from systems like Salesforce.
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Pros
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  • Providing JDBC connectivity to CRM applications
  • Raw data integration
  • Customer support
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Cons
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  • 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
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Ended hybrid Data Pipeline info your app, white label it and ship it to your customers to give them the very best cloud connectivity. Has an encryption algorithm that can be made compliant using the FIPS Compliance mode. Get real-time connectivity to popular data sources such as Salesforce, Google Analytics, and Oracle.
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Return on Investment
No answers on this topic
  • 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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