

Teradata and Marketo both compete in the data and marketing technology categories respectively. Teradata seems to have the upper hand in data management due to its parallel processing capabilities, while Marketo excels in user-friendly marketing automation features, enhancing marketing flows and lead segmentation.
Features: Teradata manages vast data efficiently with parallel processing, scalability, and fast query execution. It supports business analytics and offers cloud deployment options. Marketo is known for its smart campaigns, Salesforce integration, and user-friendliness, effectively designing marketing flows and segmenting leads.
Room for Improvement: Teradata needs enhancements in transactional processing and cost management, as well as better cloud integration and an improved interface. Marketo could improve its analytics, resolve syncing lag issues, and provide better API flexibility along with an intuitive design interface.
Ease of Deployment and Customer Service: Teradata provides flexible deployment options including on-premises, hybrid cloud, and public cloud, though deployment complexity can be challenging. Its customer support is generally well-rated but with room for faster response times. Marketo's public cloud operations offer quick access but with limited customization compared to on-premises setups; its customer service is supportive but could improve in resolution times.
Pricing and ROI: Teradata is perceived as expensive, though users find the service justifies its cost, with flexible pricing models for larger enterprises. Marketo, more affordable for medium to large companies, might be costly for smaller businesses but aligns well with its feature set, providing good value for advanced marketing capabilities. Both tools reportedly offer satisfactory ROI, enhancing operational efficiencies and customer engagement.
At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.
Independent research showed that Teradata VantageCloud users achieved an average ROI of 427% across three years with payback under a year, demonstrating the platform's ability to deliver a strong financial return.
We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.
The customer support for Teradata has been great.
They are responsive and knowledgeable, and the documentation is very helpful.
Customer support is very good, rated eight out of ten under our essential agreement.
Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.
This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.
This expansion can occur without incurring downtime or taking systems offline.
Stability depends on the data center.
Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
Having some calculated formulas in a default format would enhance functionality.
The user interface could be improved.
I want to highlight two features for improvement: first, storing data in various formats without requiring a tabular structure, accommodating unstructured data; and second, adding AI ML features to better integrate Gen AI, LLM concepts, and user-friendly experiences such as text-to-SQL capabilities.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.
The solution is cheaper than Alacor.
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.
Role-based access control (RBAC), strong audit and compliance features, high availability, fault tolerance, and encrypted data at rest and in-transit are key features.
Marketo helps us segment leads into very specific buckets, allowing us to send the right email at the right time.
We are scoring based on behavior without pressure, and it keeps producing excellent results.
Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.
Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments.
It facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company.
| Product | Market Share (%) |
|---|---|
| Marketo | 10.0% |
| Teradata | 2.5% |
| Other | 87.5% |


| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Marketo is an all-in-one marketing solution that was created by marketers for marketers. Founded in 2007, Marketo is branded as marketing software that is easy, powerful and complete.
Organizations have access to multiple marketing and sales tools when they use this solution, such as Marketing Automation, Consumer Engagement Marketing, Real-Time Personalization, and Marketing Management.
Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.
Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.
What are the key features of Teradata?
What benefits and ROI do users look for?
In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.
We monitor all Marketing Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.