

Find out what your peers are saying about SAP, Alteryx, Red Hat and others in Predictive Analytics.
Tasks that earlier took hours in Excel or SQL are now completed in minutes.
From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars.
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
Customer support from Alteryx has been amazing.
they do have a website for resolving doubts and accessing helpful resources, including various tools and filters.
I contacted customer support once or twice, and they were quick to respond.
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.
Alteryx is scalable for most enterprise analytics and data preparation workloads.
Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data.
Alteryx is scalable, and I would give it eight out of ten.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
Alteryx is a reliable tool, but it is also very heavy, requiring good laptop configurations, a minimum of 8GB RAM, and a recent processor such as i10.
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 tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API.
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.
Most large customers use multiple clouds, and Oracle's partnership with Azure and other hyperscalers needs additional development on the Integration Cloud Service side.
The price is very high, with licensing typically starting around five thousand dollars plus user per year.
We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
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.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.
Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau.
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.
It is very easy to integrate, and the pre-built APIs available to connect multiple systems help establish connections faster and more accurately.
| Product | Mindshare (%) |
|---|---|
| Alteryx | 7.9% |
| DataRobot | 6.2% |
| Red Hat Lightspeed | 6.0% |
| Other | 79.9% |
| Product | Mindshare (%) |
|---|---|
| Oracle Integration Cloud Service | 3.2% |
| Boomi iPaaS | 6.8% |
| MuleSoft Anypoint Platform | 6.7% |
| Other | 83.3% |


| Company Size | Count |
|---|---|
| Small Business | 46 |
| Midsize Enterprise | 20 |
| Large Enterprise | 73 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 8 |
| Large Enterprise | 28 |
Alteryx enhances efficiency by automating data preparation and transformation through a user-friendly drag-and-drop interface, catering to non-technical users and business professionals. It supports data blending, predictive analytics, and diverse data integration capabilities.
Alteryx streamlines data manipulation and complex transformations, benefiting industries such as finance and marketing with its ability to connect to multiple data sources and automate workflows. The platform supports analytics and machine learning model building, reducing manual efforts in ETL processes. Despite its capabilities, improvements are needed in database connectivity, pricing flexibility, and cloud service integration. Users desire enhancements in reporting features, visualization, and technical support to optimize its full potential. Machine learning and predictive analytics features require advancements to improve user experience and broaden accessibility through better connectors and reduced licensing costs.
What are Alteryx's key features?
What benefits and ROI should be looked for in reviews?
In finance and marketing, organizations leverage Alteryx to automate data tasks, connect diverse sources, and generate analytics models and dashboards efficiently. Its no-code approach aids in rapid data preparation, cleansing, and analysis, empowering business users to engage in predictive and prescriptive analytics effectively.
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.
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