Teradata and Fivetran compete in the data management and analytics market. Teradata holds an advantage in handling large-scale operations and complex analytics, while Fivetran excels in ease of use and quick deployment of data pipelines.
Features: Teradata's strengths are rooted in its powerful parallel processing, scalability, and robust analytics capabilities, including OLAP and data mining. It supports large-scale data handling and efficient query execution, making it ideal for complex queries. Fivetran is noted for its simplicity and ability to quickly establish data pipelines across various sources, providing seamless integrations vital for straightforward data synchronization.
Room for Improvement: Teradata faces challenges such as high costs and a desire for more modern cloud features. Its complexity and implementation can be cumbersome, needing better scalability and flexibility. Fivetran requires enhancements in data observability and integration options. Advanced users seek better customization, and improvements in real-time processing speed and pricing are desired for high-volume use cases.
Ease of Deployment and Customer Service: Teradata offers deployment flexibility between on-premises and cloud environments but requires significant expertise, affecting deployment speed. Its customer service is generally well-regarded, though some report slow issue resolution. Fivetran stands out with its user-friendly cloud deployment, requiring minimal technical intervention. The customer service is highly rated for professionalism, but some desire better contract transparency.
Pricing and ROI: Teradata is known for its high cost, justified by its advanced analytics capabilities. Despite this, businesses report significant ROI due to excellent data processing. Fivetran’s pricing offers benefits as usage increases, appreciated for its value in seamless data integration. However, heavy usage can mean higher costs. Both products deliver strong ROI, each aligned with specific market needs.
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
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.
During the duration of the time that we used Fivetran, it was highly stable.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
Improvement in existing connectors with new features is desirable.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Our current yearly contract for Fivetran is approximately $70,000.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
The ability to seamlessly integrate with a large variety of data sources is valuable.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com
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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