Most businesses have their data stored in different locations, including SaaS (Software as a Service) platforms and in-house databases.
Businesses need to analyze this data and draw insights that can support their decision-making processes. However, it is challenging to analyze data when it is stored in different locations.
This article will give you a comprehensive guide to help you answer the Hevo Data vs Pentaho Data Integration decision.
Comparison of Hevo Data vs Pentaho Data Integration
| Pentaho Data | Hevo Data |
| Focus | Business intelligence, data integration, ETL | Data ingestion, ETL/ELT, Managed Warehouse, Reverse ETL |
| SaaS Sources | Only Salesforce and Google Analytics | 100+ (40+ free sources) |
| Database Replication | Full table; incremental via binary logs or SELECT/replication keys | Full table; incremental via SELECT/replication key, timestamp, change data capture |
| Support SLAs | Yes | Yes |
| Purchase process | Requires a conversation with sales | Options for self-service and interaction with the Sales & Support team |
| Ability for customers to add new data sources | No | No |
| Compliance, governance, and security certifications | None | HIPAA |
| Data sharing | Yes | No |
| Vendor lock-in | Annual contracts. Open-source version available | Month to month or annual contracts |
| Developer tools | REST API | REST API & Webhooks |
| Ability for customers to add new data sources | No | No |
| Connects to data warehouses? Data lakes? | Yes / Yes | Yes / Yes |
| Transparent pricing | No | Yes |
Factors that Drive the Hevo Data vs Pentaho Decision
The primary factors that influence the comparison are as follows:
1) Transformations
Hevo Data
Hevo provides two ways through which you can design and apply transformations:
- You can write Python-based transformation scripts.
- You can use Hevo’s drag-and-drop transformation blocks.
Pentaho Data Integration
It supports different pre and post-load transformations by dragging and dropping more than two dozen types of operations onto the work area. Users can also drag and drop custom scripts in Java, Python, SQL, and JavaScript onto the canvas.
2) Connectors
Hevo Data
Hevo allows its users to connect to 100+ data sources including over 80 SaaS applications. It supports integration with different types of data sources including Databases,
Image Source
Pentaho Data Integration
Pentaho Data Integration accepts many file types as inputs. However, it only allows integration with two SaaS platforms namely Salesforce and Google Analytics. It can connect to 40+ Databases as sources or destinations via plugins, JDBC, or ODBC.
3) Customer Support
Hevo Data Customer Support
Hevo Data has excellent customer support features for the users. Users are allowed to contact the Hevo Customer Support team 24/7 via calls, email, or its live support feature that is powered by Intercom.
Hevo Data has extensive documentation from which users can get answers to their questions. You can find Hevo’s official documentation here.
Pentaho Data Integration
- A support ticketing system.
- Access to free and paid training videos.
- A knowledge base, including articles on best practices.
- Documentation.
- Service packs.
- Software downloads.
4) Pricing
Hevo Data
The Business plan can customize your costs based on your needs and it is suitable for large enterprises. You just have to call them and discuss the pricing.
Pentaho Data Integration
To use Pentaho, users can install it on their desktops or use the Pentaho Business Analytics online. You can also request personalized demos that meet your personal needs.
Learn why Hevo is unmatched in data integration through this blog exploring why the best engineers find no true alternatives to Hevo.
Hevo Data vs Pentaho Data Integration: FAQ
What are the pricing models of Hevo Data?
Hevo Data’s pricing is based on the Number of Events and Paid Sources. It offers 3 transparent and flexible pricing plans:
- Free (Upto 1 Million Events/Month)
- Starter (Upto 300 Million Events/Month)
- Business (Custom)
These subscription plans are offered on a monthly as well as annual basis.
Conclusion
This article gave a comprehensive guide to Hevo Data vs Pentaho Data Integration. You got a deeper understanding of both these platforms and their key features. Now, you are in the position to choose the best among the two based on your business goals and requirements.
Share your experience of learning about Hevo Data vs Pentaho Data Integration in the comments section below!
Nicholas Samuel is a technical writing specialist with a passion for data, having more than 14+ years of experience in the field. With his skills in data analysis, data visualization, and business intelligence, he has delivered over 200 blogs. In his early years as a systems software developer at Airtel Kenya, he developed applications, using Java, Android platform, and web applications with PHP. He also performed Oracle database backups, recovery operations, and performance tuning. Nicholas was also involved in projects that demanded in-depth knowledge of Unix system administration, specifically with HP-UX servers. Through his writing, he intends to share the hands-on experience he gained to make the lives of data practitioners better.
