Teradata and IDMC compete in the advanced data management solutions category, each showcasing unique advantages in scalability and integration. Based on features comparison, Teradata has an edge with its efficient massive parallel processing and fast query execution.
Features: Teradata offers in-database analytics, workload management, and intelligent optimizers for fast query execution. It supports parallel processing and linear scalability. IDMC stands out with its seamless integration capabilities, robust data governance, and support for multiple domains. Its flexible architecture allows effective management of master data and data quality, while extensive cloud capabilities enhance business process integration.
Room for Improvement: Teradata's main drawbacks include high costs and limited handling of unstructured data. Users seek better cloud service integration and more responsive support. IDMC needs to enhance GUI usability, expand training resources, and improve configuration simplicity. Users also desire more flexible pricing and efficient integration capabilities.
Ease of Deployment and Customer Service: Teradata provides flexible deployment options, including on-premises and hybrid models, but is more favorable to large enterprises due to its complexity and cost. Customer service is mixed, with feedback highlighting both technical support praise and delay concerns. IDMC is known for its user-friendly cloud deployments, with generally positive customer service, though faster response times are desired.
Pricing and ROI: Teradata is viewed as expensive, targeting large-scale enterprises with significant spending power. However, its ROI is justified by its reliability and performance. Similarly, IDMC has high pricing, backed by extensive capabilities and integration benefits, which users see as a worthwhile investment. Both products face calls for more transparent and flexible pricing strategies to meet diverse business needs.
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 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.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
This expansion can occur without incurring downtime or taking systems offline.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
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.
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.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
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.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
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.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.
IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.
What are the most important features?
What benefits and ROI should be considered?
Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.
Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.
As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.
What are the most important features of Teradata?Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.
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