Oracle Data Integrator and Matillion Data Productivity Cloud compete in the data integration solutions category. Matillion seems to have an edge due to its ease of use and seamless integration with cloud services like AWS.
Features: Oracle Data Integrator offers advanced capabilities like re-usable mappings, real-time warehousing, and extensive scripting language support, making it suitable for complex integration scenarios. Its Knowledge Module architecture provides flexibility and enables connections to a wide range of data sources. Matillion Data Productivity Cloud, on the other hand, offers a user-friendly experience with robust integration capabilities with AWS services, supporting efficient ETL processes without requiring extensive coding knowledge. It is agile and supports numerous data sources, making it a versatile choice for tech-focused teams.
Room for Improvement: Oracle Data Integrator's challenges include a complex user interface and a steep learning curve, which can be time-consuming to master. It also faces performance challenges due to its reliance on Java and needs improved integration with Oracle products. Matillion Data Productivity Cloud could enhance scalability and AI features, as it sometimes struggles with concurrent workloads. Additionally, improving integration with more ecosystem tools and enhancing real-time data streaming capabilities would benefit users.
Ease of Deployment and Customer Service: Oracle Data Integrator traditionally supports on-premises deployment with options for public and hybrid clouds, but user experiences with Oracle's customer service are mixed due to the complexity of issues involving multiple Oracle technologies. Matillion Data Productivity Cloud is optimized for public cloud environments, offering easy deployment and minimal need for support. It features a straightforward purchase process through cloud marketplaces and responsive customer service, which enhances user satisfaction.
Pricing and ROI: Oracle Data Integrator generally involves higher costs due to its comprehensive licensing model, which varies based on deployment and additional components, making it expensive for smaller organizations. However, its broad capabilities justify the cost for larger setups. The ROI depends heavily on proper implementation, with automated processes delivering operational efficiencies. Matillion Data Productivity Cloud offers competitive pricing based on runtime and consumption, making it affordable, especially when managing EC2 hours effectively. Its pricing is attractive for teams of all sizes, with expected ROI evident through cost-effective subscription models and adaptive scaling based on usage.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
They communicate effectively and respond quickly to all inquiries.
The technical support of Oracle is very good; they support the Oracle Data Integrator (ODI) solution effectively.
I can get solutions quickly, and any tickets I submit to Oracle are responded to and resolved rapidly.
Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
The scalability and the ability to handle multiple workloads of several parallel ETL jobs could use improvement.
In terms of performance stability, I have not experienced any downtimes, crashes, or performance issues with the Oracle Data Integrator (ODI).
The main areas for improvement are AI features and scalability.
Connections to BigQuery for extracting information are complex.
Integrating AI with ODI that provides recommendations on how to fix those data quality issues after analyzing and profiling business data would be excellent.
If I use a source system like Oracle and a target system like Teradata, ODI will still run, but it struggles a bit with different infrastructures.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
The pricing is moderate, neither expensive nor cheap.
The pricing aspect of Oracle Data Integrator (ODI) is reasonable; it brings significant value to the table.
ODI is cheaper compared to Informatica PowerCenter and IBM DataStage.
The predefined connectors eliminate the need to write code for connectivity.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
The main benefits that Oracle Data Integrator (ODI) brings to the table include data quality, data completeness functionality, metadata management, and the reverse engineering feature, which allows integrating the metadata of diversified data sources with a single click.
Oracle Data Integrator (ODI) is powerful and strong if my system uses Oracle components for environments like OLTP, enterprise data warehouse, or data marts.
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 12 |
| Large Enterprise | 43 |
Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.
Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.
What are the key features of Matillion Data Productivity Cloud?
What benefits and ROI should users seek in reviews?
In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.
Oracle Data Integrator (ODI) is a data integration software solution that provides a unified infrastructure to streamline data and application integration projects. It uses a powerful design approach to data integration, which separates the declarative rules from the implementation details. The solution is based on a unique ELT (Extract Load Transform) architecture, eliminating the need for a standalone ETL server and proprietary engine.
Oracle Data Integrator Features
ODI has many valuable key features. Some of the most useful ones include:
Oracle Data Integrator Benefits
There are many benefits to implementing ODI. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Data Integrator (ODI) solution.
Brian D., Business Process and Strategy Specialist Advisor at NTTData, says, “The Knowledge Module (KM) is my favorite feature of ODI. This is where I learned how to use variables to make jobs dynamic. I took that knowledge and created a KM that would go into iTunes and pull the sales of eBooks. Making something that is reusable, like a KM, is important to not only reduce build time but also maintenance in the future.”
Ashok S., Applications Support Manager at a marketing services firm, mentions, "The most valuable features of ODI are the ease of development, you can have a template, and you can onboard transfer very quickly. There's a lot of knowledge modules available that we can use. If you want to connect, for example, a Sibyl, SQL, Oracle, or different products, we don't have to develop them from scratch. They are available, but if it's not, we can go into the marketplace and see if there's a connector there. Having the connector available reduces the amount of hard work needed. We only have to put the inputs and outputs. In some of the products, we use there is already integration available for ODI, which is helpful."
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