Zapier vs Invantive Data Hub

Struggling to choose between Zapier and Invantive Data Hub? Both products offer unique advantages, making it a tough decision.

Zapier is a Online Services solution with tags like automation, integration, web-apps, workflows.

It boasts features such as Connects and automates workflows between web apps, Prebuilt integrations called Zaps to connect apps, Visual editor to build workflows between apps, Built-in triggers and actions for apps, Scheduling and monitoring of automation workflows, Multi-step workflows between many apps, Integration with over 3000 apps via Webhooks, APIs, etc, Task automation, data transfer, alert notifications, Cloud-based, no coding required and pros including Easy to create automations between web apps, Large library of prebuilt integrations, Intuitive visual workflow builder, Scalable multi-step workflows, Saves time by automating repetitive tasks, Affordable pricing tiers.

On the other hand, Invantive Data Hub is a Business & Commerce product tagged with data-virtualization, data-governance, data-access, data-integration.

Its standout features include Data virtualization and federation, Unified semantic data layer, Support for 150+ data sources, Self-service data access and governance, Data lineage and impact analysis, Data quality management, Master data management, Data catalog and metadata management, Embedded business glossary, Role-based access control, Support for cloud and on-prem sources, and it shines with pros like Unified access to distributed data, Improved data governance, Faster access to integrated data, Reduced data duplication, Single source of truth, Increased data transparency.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Zapier

Zapier

Zapier is an automation and integration tool that connects web apps together. It allows you to connect your favorite apps, services and platforms in seconds to automate repetitive tasks without code.

Categories:
automation integration web-apps workflows

Zapier Features

  1. Connects and automates workflows between web apps
  2. Prebuilt integrations called Zaps to connect apps
  3. Visual editor to build workflows between apps
  4. Built-in triggers and actions for apps
  5. Scheduling and monitoring of automation workflows
  6. Multi-step workflows between many apps
  7. Integration with over 3000 apps via Webhooks, APIs, etc
  8. Task automation, data transfer, alert notifications
  9. Cloud-based, no coding required

Pricing

  • Freemium
  • Subscription-Based

Pros

Easy to create automations between web apps

Large library of prebuilt integrations

Intuitive visual workflow builder

Scalable multi-step workflows

Saves time by automating repetitive tasks

Affordable pricing tiers

Cons

Steep learning curve for advanced workflows

Limitations with free plan

Reliant on 3rd party APIs that may change

Not suitable for complex enterprise integrations

Security concerns about connecting many apps


Invantive Data Hub

Invantive Data Hub

Invantive Data Hub is a data virtualization and data governance platform that provides integrated access to distributed data sources. It allows combining data from multiple systems into a single virtual data layer, enabling unified data access and governance across the organization.

Categories:
data-virtualization data-governance data-access data-integration

Invantive Data Hub Features

  1. Data virtualization and federation
  2. Unified semantic data layer
  3. Support for 150+ data sources
  4. Self-service data access and governance
  5. Data lineage and impact analysis
  6. Data quality management
  7. Master data management
  8. Data catalog and metadata management
  9. Embedded business glossary
  10. Role-based access control
  11. Support for cloud and on-prem sources

Pricing

  • Subscription-Based

Pros

Unified access to distributed data

Improved data governance

Faster access to integrated data

Reduced data duplication

Single source of truth

Increased data transparency

Cons

Complex implementation

Steep learning curve

Dependency on centralized platform

Limited capabilities for unstructured data