Most organizations generate huge volumes of data, and this data is not stored in a single location. Instead, the data is stored in different locations, including in-house Databases and SaaS applications. This data is a great source of insights for businesses and it can help them to make sound decisions. Thus, there is a need to analyze it. 

It is very challenging to analyze data that is stored in different locations. This means that organizations should consider bringing their data into a single location for analysis. It is also challenging for organizations to build their own Data Pipelines from scratch, thus, they prefer using the available options. 

Hevo Data and Oracle Data Integrator are two Data Integration tools that businesses can use to solve the problem of Oracle Data Integration. In this article, you will explore the differences between these two Hevo and Oracle Data Integration tools based on certain critical factors to help you know the right one for your business. 

What is Hevo Data?

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Hevo Data is a no-code Data Pipeline that helps businesses to integrate their data from multiple sources to their Warehouse in near real-time. Hevo Data has 100+ ready-to-use integrations across SaaS Applications, Databases, Streaming Services, SDKs, and Cloud Storage.

Hevo Data is trusted by 25+ companies in different fields and spread across different parts of the world. With, Hevo, you will be able to get a 360-degrees view of your customers in one place by integrating data from multiple sources.

Hevo also helps you to start moving data from 100+ sources to your data warehouse in real-time with no code for the price of $249/month!

To learn more about Hevo Data, view its official documentation here.

What is Oracle Data Integrator?

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Oracle Data Integrator (ODI) is a Data Integration tool that supports a wide variety of integration technologies and it was designed to reduce the Total Cost of Ownership (TCO). It provides organizations with a single interface to access data from different systems and facilitates the creation of critical data transfers between business systems. 

It was acquired by Oracle in 2006, and it has since then evolved as the centerpiece of the Data Integration Suite for Oracle. Oracle Data Integration tool comes with adapters for all major technologies and it also provides a new approach to Oracle Data Integration. 

To learn more about the Oracle Data Integrator, visit its official documentation here.

Factors that Drive the Hevo Data vs Oracle Data Integrator Decision

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In this section, you will do a comparison between Hevo Data and Oracle Data Integrator to know how the two Oracle Data Integration tools compare in different core areas.

Some of the factors that drive Hevo Data vs Oracle Data Integrator decision are:

1) Integrations

Hevo Data Integrations

Hevo users can connect to 100+ Data Sources including 80+ SaaS applications. It supports integration with different types of data sources including Databases, SaaS products, Marketing applications, Data Warehouses, external files like CSV, and more.

Hevo also supports Data Ingestion using REST APIs and Webhooks. It can also be leveraged to stream data in real-time and capture changes via its Change Data Capture (CDC) feature. 

Hevo Data Integrations
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Oracle Data Integrator Integrations

ODI is a product from Oracle that is good for ETL where Oracle is the source or destination. Oracle Data Integration tool supports most of the on-premise Databases such as SQL Server, Postgres, and more as source or destination. It also supports ERPs, B2B systems, JSON, CRMs,  flat files, XML, and LDAP. Oracle Data Integrator supports JDBC and ODBC drivers, even Cloud Databases that support JDBC. 

However, ODI performs well when the source or destination is Oracle.

2) Transformations

Hevo Data Transformations

You may need to perform some transformations on your data before moving it to the data warehouse. A good example of a transformation is Data Cleaning. Hevo allows you to prepare your data in different ways before moving it to its destination. It provides two ways through which you can design and apply transformations:

  1. By writing Python-based transformation scripts.
  1. By using Hevo’s drag-and-drop transformation blocks.

Hevo also allows you to apply both methods to one transformation. A transformation of one type cannot be converted to another automatically. To switch from one transformation to another, you have to rewrite the transformation completely.

Oracle Data Integrator Integrations

ODI provides a new declarative design approach for defining data transformations, leading to simpler and faster development and maintenance. With ODI, you can execute data transformations on the target server and at a set-based level for higher performance.

Its ELT architecture eliminates the need for an ELT server positioned in between the source and the target server. Instead, Oracle Data Integration relies on the source and the target servers to do complex transformations, and most of them are done in batch mode when the server is not held up in processing end-user queries. 

3) Pricing

Hevo Data Pricing

Hevo comes with two paid tiers, the Starter, and Business tiers, and a Free tier. The paid tiers are priced based on the number of events that the user wants to integrate. The Starter tier offers 20 Million events at a cost of $299/month, 50 Million events at a cost of $499/month, 100 Million events at a cost of $749/month, 200 Million events at a cost of $999/month, and 300 Million events at a cost of $1249/month. 

The Business tier can be customized based on your needs and it is suitable for large enterprises. You simply have to call them and discuss the pricing.

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Oracle Data Integrator Pricing

The Oracle Data Integrator is licensed in two different ways, “Named User Plus” basis and Per-Processor basis. Its price is $900 per named user plus an additional $198 for software update license and support.

Companies can pay $30,000 per process plus an additional $6,400 for support and software update licenses. This Oracle Data Integration tool doesn’t have a free version and it doesn’t offer a free trial. 

4) Customer Service and Support

Hevo Data Customer Service and Support

Hevo Data comes with excellent customer support features for its users. Hevo users can contact the Customer Support team 24/7 via email, calls, or its live support feature that is powered by Intercom.

Hevo’s support team also responds to your questions quickly to give you the necessary help. 

Hevo Data also comes with extensive documentation from which users can get answers to their questions. You can find Hevo’s official documentation here

Oracle Data Integrator Customer Service and Support

ODI offers support, training, and professional services to its users. You can undergo Oracle Data Integrator Training and certification at Oracle University.


In this article, you were introduced to Hevo Data and Oracle Data Integrator. You also understood the critical factors that drive the Hevo Data vs Oracle Data Integrator decision. Oracle Data Integration tools allow companies to perform their ETL tasks with ease.

With the help of Oracle Data Integration, companies can automate and avoid human errors in the data transfer and transformation process.


In case you wish to extract complex data from a diverse set of data sources like Oracle or other data sources, Hevo is the right choice for you! Hevo Data is a No-Code Data Pipeline that offers a faster way to move data from 100+ Data Sources including 30+ Free Sources, into your Data Warehouse to be visualized in a BI tool. Hevo is fully automated and hence does not require you to code.

Want to take Hevo for a spin?

SIGN UP and experience the feature-rich Hevo suite first hand. You can also have a look at the unbeatable pricing that will help you choose the right plan for your business needs.

Share your experience with us in the comments section below!

Nicholas Samuel
Technical Content Writer, Hevo Data

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.

No Code Data Pipeline for your Data Warehouse