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Progress DataDirect Reviews & Insights

Score4.5 out of 10

3 Reviews and Ratings

Reviews

2 Reviews

An alluring tool in offering cloud and On-premises data connectivity solutions across data sources.

Rating: 10 out of 10
Incentivized

Use Cases and Deployment Scope

Integration tools to get the most out of data. Helps to empower applications with enterprise data. Offers cloud and on-premises data connectivity solutions across relational, NoSQL, Big Data, and SaaS data sources. Performance, reliability, and security are at the heart of everything they design of many enterprises and are the leading in vendor analytics, BI, and data management.

Pros

  • Create a custom ODBC or JDBC Driver.
  • Access cloud and on-premises data.
  • Embed connectivity in an application or platform.

Cons

  • Seamless data access for BI and Analytics.
  • Helps you comply with industry standards.
  • Cloud and On-premises Data Access with Hybrid Data Pipelines.

Likelihood to Recommend

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.

Progress Data direct ensures easy connectivity

Rating: 9 out of 10
Incentivized

Use Cases and Deployment Scope

Progress data direct is getting used for data ingestion from salesforce into Data lake. Progress drivers are easy to use for batch ingestion from varied source systems. It got used by Spark, AWS to directly connect with Salesforce and load data into S3.

Pros

  • Providing JDBC connectivity to CRM applications
  • Raw data integration
  • Customer support

Cons

  • Support of SFDC bulk API for all objects
  • Version management
  • Backward compatibility

Likelihood to Recommend

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.