Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration.
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 customer support for Oracle Integration Cloud Service is accessible through Service Requests (SR) for unknown problems, with a response expected within 24 hours.
I find the technical support from Oracle to be good.
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.
Oracle has provided some fixes, and in my last two to three large engagements, we haven't faced any major challenges with the product.
The reliability of Oracle Integration Cloud Service is strong.
The solution is stable.
The main areas for improvement are AI features and scalability.
Connections to BigQuery for extracting information are complex.
Setup and deployment can be done in OCI, the Oracle Cloud Infrastructure, allowing for role-based access and configuration, managing access levels for Oracle Integration Cloud Service environments such as Dev, Test, and Production.
The mapping is a bit complex, so configuration is not very easy for a new user.
I believe it should allow me to execute custom code written in Java from the integration, which is currently not an option.
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.
If integration points exceed 30, I recommend that customers use Oracle Integration Cloud Service as it becomes cost-effective with its pay-as-you-use model and multiple available packages.
Oracle Integration Cloud Service's pricing is affordable and reasonable considering its facilities.
At TCS, we also have our own instance because we have purchased the product from Oracle.
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.
Additionally, it provides a wide variety of built-in adapters for many cloud providers, such as Azure Blob and AWS S3.
Oracle Integration Cloud Service offers capabilities for data customization and validation, handling different date formats, and API calls using REST and SOAP.
Oracle Integration Cloud Service provides all the computations we need and the functions on string, integer, and date are most useful.
| Product | Mindshare (%) |
|---|---|
| Matillion Data Productivity Cloud | 5.3% |
| AWS Glue | 7.8% |
| AWS Database Migration Service | 6.9% |
| Other | 80.0% |
| Product | Mindshare (%) |
|---|---|
| Oracle Integration Cloud Service | 3.3% |
| Boomi iPaaS | 7.0% |
| MuleSoft Anypoint Platform | 6.7% |
| Other | 83.0% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 8 |
| Large Enterprise | 28 |
Matillion Data Productivity Cloud offers a user-friendly platform for seamless integration and dynamic data handling, favored for simplifying ETL processes with minimal coding and ensuring robust performance in complex data tasks.
Matillion Data Productivity Cloud integrates effortlessly with platforms like AWS, Snowflake, and SQL databases, providing tools for efficient data migration, transformation, and cloud warehousing. It supports large datasets with swift management, making it valued for its graphical interface that eases ETL processes for non-technical users. Automation features ensure scalability and dynamic data handling across diverse sources, while security and cost-effectiveness enhance its appeal. Enhancements in database connectivity, interface design, and multi-environment support would refine user experience, with growing demands for real-time data capture, SAP connectivity, and frequent API updates.
What are the most important features?In industries like finance, healthcare, and retail, Matillion Data Productivity Cloud is implemented for transforming data operations. Companies leverage it for its speed in data processing and integration capability, facilitating rapid adaptation to data-driven insights crucial in these sectors.
Oracle Integration Cloud Service offers a user-friendly platform for seamless system integration, combining pre-built adapters and intuitive interfaces with robust performance, supporting REST and SOAP APIs for diverse environments.
Oracle Integration Cloud Service stands out for its comprehensive integration capabilities, allowing businesses to effortlessly connect systems like SAP and Salesforce using a low-code platform. Features include an intuitive drag-and-drop interface that simplifies orchestration across on-premises and cloud systems, complemented by extensive pre-built adapters. Users benefit from seamless integration through REST and SOAP API calls, supported by an insightful dashboard for effective monitoring and powerful security features such as OAuth. While the service offers predictable pricing and scalability, documentation and flexibility require attention. Challenges include handling legacy applications, architectural design, and multicloud integration.
What are the key features?Industries employ Oracle Integration Cloud Service extensively in financial, supply chain, and ERP implementations. Businesses utilize it for connecting databases, payment gateways, REST services, and enhancing system automation. Employing prebuilt adapters allows support for hybrid models, facilitating integration within both Oracle and non-Oracle environments, streamlining tasks for efficient operations.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
