Teradata and Matillion Data Productivity Cloud compete in the large-scale data management category. Teradata appears to have the upper hand due to its strong data warehousing capabilities and performance optimization, though Matillion excels in ETL and cloud integration.
Features: Teradata's parallel processing architecture is capable of handling large data volumes with exceptional speed. Its scalable structure, combined with powerful workload management like QueryGrid, enhances data efficiency and adaptability. Alternatively, Matillion offers ease of use with its integration capabilities, dynamic data engineering, and seamless cloud service connections, positioning itself prominently in the ETL space.
Room for Improvement: Teradata's high costs and issues with data synchronization and cloud support need addressing. Enhanced transaction handling and better unstructured data management could solidify its leadership. Matillion could improve by integrating more ecosystems, increasing concurrent processing efficiency, and enhancing real-time functionalities alongside backend integration.
Ease of Deployment and Customer Service: Teradata provides flexibility in hybrid and on-premises environments, albeit with complex deployments and significant initial setup. Its technical support is well-received. Matillion stands out with straightforward deployment via public cloud services, especially through AWS Marketplace, though some users suggest improved support responsiveness and wider data source compatibility.
Pricing and ROI: Teradata's high costs necessitate a detailed cost-benefit analysis, yet its scalability can justify the investment in large-scale use cases. Conversely, Matillion's pricing model, accommodating cloud usage and team sizes, offers greater flexibility and affordability, often recognized for integration value and cost management in cloud settings. Both solutions have potential for high ROI.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
They communicate effectively and respond quickly to all inquiries.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
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.
The main areas for improvement are AI features and scalability.
Connections to BigQuery for extracting information are complex.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
The pricing is moderate, neither expensive nor cheap.
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 predefined connectors eliminate the need to write code for connectivity.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
| Product | Market Share (%) |
|---|---|
| Matillion Data Productivity Cloud | 5.0% |
| AWS Glue | 15.3% |
| AWS Database Migration Service | 11.9% |
| Other | 67.8% |
| Product | Market Share (%) |
|---|---|
| Teradata | 13.2% |
| Oracle Exadata | 14.1% |
| Snowflake | 12.5% |
| Other | 60.2% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 12 |
| Large Enterprise | 49 |
Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.
Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.
What are the key features of Matillion Data Productivity Cloud?
What benefits and ROI should users seek in reviews?
In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.
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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