Informatica IDMC and SnapLogic compete in the data management and integration category. Informatica IDMC holds the upper hand due to its comprehensive suite of features and flexibility in managing data across domains, whereas SnapLogic excels with its quick deployment and ease of use.
Features: Informatica IDMC offers robust capabilities such as data replication, comprehensive MDM integration, and address validation. Its strength lies in supporting multiple domains with seamless integration across its data quality and integration modules. SnapLogic is known for its low-code environment, rapid deployment capabilities, and AI-powered integration which enhances efficient data management. It is appreciated for its connectivity options and the straightforward learning curve of its platform.
Room for Improvement: Users of Informatica IDMC suggest enhancements in its user interface and reporting features. It faces challenges in SAP integration and encounters technical bugs that require regular updates. SnapLogic could improve its API management and the transparency of its data flow. Its support for EDI formats and latency in handling high-volume data are noted areas for advancement.
Ease of Deployment and Customer Service: Informatica IDMC offers diverse deployment models, including on-premises, hybrid, and private cloud, though its complexity can be a concern. It receives positive ratings for technical support but is sometimes criticized for slow response times. SnapLogic provides seamless public and hybrid cloud deployment with a user-friendly interface but needs consistent improvement in technical support and customer service.
Pricing and ROI: Informatica IDMC is perceived as pricey but delivers comprehensive features that justify the cost for large enterprises. Its pricing models may involve extra costs for specific services. SnapLogic offers flexible pricing, beneficial for incremental usage, though extensive integration needs may increase costs. Both solutions offer substantial ROI; however, SnapLogic's adaptable pricing tier is cost-effective for scaling operations.
We see return on investment from this solution in terms of time; time reduction or cost benefits is what we are getting very good results from.
SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually.
If they are unsure how to resolve an issue, they keep customers informed, providing updates about progress and ensuring communication with the product team to deliver accurate responses.
The technical support from SnapLogic is excellent, and I would give it a complete ten.
Some SMEs are allotted for the organization, so in case of any issue, we have their email IDs to contact them for support, including SMEs and community.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
I find Informatica Intelligent Data Management Cloud (IDMC) to be a sustainable and scalable solution.
I rate the scalability of SnapLogic as eight out of ten.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
I would rate the stability of SnapLogic as nearly ten out of ten.
But recently, in a year, I haven't found many performance issues in SnapLogic.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
They can improve more visuals, with graphical representations, such as how many things can be added, how many users can be added or dropped, and how the back-end nodes can be graphically shown in a better way.
I tend to frequently communicate with SnapLogic to ask for additional features, and they have been responsive.
It ranges from a quarter million to a couple of million a year.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.
There would be only one point of improvement if the price could be lower.
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
In on-premise, we call it EDC for metadata management, while in cloud-based technologies, it is known as the Metadata Command Center, which serves the same purpose as EDC concerning CDGC.
I also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.
I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL.
It's moving into AI, so we can create AI agents with LLM models. We can use most of the LLM such as Amazon Bedrock, OpenAI, Azure AI.
Product | Market Share (%) |
---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 3.6% |
SnapLogic | 1.2% |
Other | 95.2% |
Company Size | Count |
---|---|
Small Business | 42 |
Midsize Enterprise | 24 |
Large Enterprise | 134 |
Company Size | Count |
---|---|
Small Business | 11 |
Midsize Enterprise | 5 |
Large Enterprise | 10 |
Informatica Intelligent Data Management Cloud (IDMC) integrates data quality, governance, and integration with flexible architecture. It supports multiple domains and a data models repository, delivering AI-enhanced data management across cloud-native platforms.
IDMC provides seamless integration and governance capabilities that support diverse data environments. Its comprehensive suite includes customizable workflows, data profiling, and metadata management. AI features, a data marketplace, and performance scalability enhance data management. While its interface poses challenges, its robust matching and cloud-native integration facilities are essential for complex data ecosystems. Users employ IDMC for connecting systems, ensuring data quality, and supporting data compliance but seek better pre-built rules, services, and improved connectivity, especially with platforms like Salesforce. Licensing, cost, and added AI functionalities are areas for potential refinement.
What are the key features of IDMC?IDMC is implemented across industries for data integration, metadata management, and governance. Organizations use it to connect systems, migrate data to cloud environments, and maintain data quality. They manage master data and automate business processes, facilitating data lineage and ensuring compliance with privacy regulations.
The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.
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