Teradata and Qlik Replicate compete in the data management and analytics category. Teradata seems to have the upper hand for large-scale analytics due to its robust processing capabilities, while Qlik Replicate excels in real-time data replication without source impact.
Features: Teradata offers massive parallel processing, scalability, and a flexible architecture for efficient data handling in complex analytics. It provides tools for fast query execution and stability in large operations. Qlik Replicate is highlighted for its real-time data replication, supporting multiple sources and targets effortlessly and ensuring no performance impact on the source systems with seamless integration capabilities.
Room for Improvement: Teradata is challenged by high costs, limited scalability in certain scenarios, and issues around cloud integration needing modernization. Qlik Replicate requires improvement in user-friendliness and providing detailed error insights. Its pricing could be more transparent, and enhancements in API integration would be beneficial.
Ease of Deployment and Customer Service: Teradata is mainly on-premises with strong hybrid and cloud options, though it tends to have a complex deployment process. Its technical support is highly professional. Qlik Replicate excels with flexible deployment across on-premises, cloud, and hybrid environments. Improvements are needed in clearly explaining technical errors. Both require robust customer service for configuration management, with Teradata noted for superior response.
Pricing and ROI: Teradata is seen as a premium solution with significant costs but justifies this with its strong data processing and analytics capabilities, appealing to large enterprises. Qlik Replicate, although more affordable than some competitors, could be costly for smaller businesses due to per-endpoint pricing. Both require strategic negotiations to ensure optimal returns.
I conducted a cost comparison with the AWS service provider, and this option is much cheaper than the Kinesis service offered by AWS.
Even priority tickets, which should be resolved in minutes, can take days.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
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.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
It is a core-based licensing, which, especially in the banking industry, results in the system capacity being utilized up to a maximum of 60%.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Licensing is calculated based on the machine's total capacity rather than actual usage.
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.
Data retrieved from the system can be pushed to multiple places, supporting various divisions such as marketing, loans, and others.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Qlik Replicate is a data replication solution for replicating data from one source database to another for business intelligence software. It offers data manipulation and transformations, replication without impacting source databases, and ease of use without needing ETL. The solution is stable and user-friendly, with detailed logging and support.
Qlik Replicate has improved the organization by allowing each team to replicate their data into a single-source data location. The most important feature of Qlik Replicate is its ability to replicate and update records without needing a programmer.
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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