

Teradata and CockroachDB are both competing in the database solutions market. Teradata appears to have the upper hand in traditional BI environments due to its high-speed querying and automation capabilities, whereas CockroachDB is favored for modern applications with its distributed model and fault tolerance.
Features: Teradata is well-known for its massively parallel processing architecture, real-time analytics, and suitability for large data tasks. CockroachDB, on the other hand, offers high availability, integration with cloud services, and compatibility with PostgreSQL, providing vital flexibility for geographically diverse applications.
Room for Improvement: Teradata could improve its cloud integration, increase scalability, and handle unstructured data more efficiently. CockroachDB may focus on enhancing its PostgreSQL compatibility, refining partitioning processes, and developing advanced disaster recovery features.
Ease of Deployment and Customer Service: Teradata offers both on-premises and cloud deployment, with its technical support being expert yet sometimes slow. CockroachDB provides ease of use with its cloud-focused, distributed deployment capabilities, though its support services could expand.
Pricing and ROI: Teradata is known for its high pricing, aimed at large enterprises, yet delivers reliable ROI. CockroachDB presents a more accessible pricing model that appeals to cost-conscious enterprises, offering flexibility and adaptability to cloud environments while providing a substantial ROI.
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 issue was resolved efficiently.
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.
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.
For multi-region deployment, CockroachDB requires at least three plus replicas across data centers to achieve strong consistency across regions, which increases infrastructure costs including compute, storage, and networking.
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.
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.
CockroachDB's geo-distribution feature is superior to traditional databases.
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 | Mindshare (%) |
|---|---|
| Teradata | 4.1% |
| CockroachDB | 4.1% |
| Other | 91.8% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
CockroachDB is a high-performance, cloud-native database offering fault-tolerance, geo-partitioning, and PostgreSQL compatibility, ensuring distributed transactions with robust security for global applications.
CockroachDB offers advanced features like geo-replication and ensures data residency through its distributed architecture. This minimizes application modifications by supporting the PostgreSQL wire protocol while providing enhanced fault-tolerance. High availability is maintained through automatic node syncing and workload distribution. Security is prioritized with SSL certificates and role-based access control, facilitating ease of use and observability through an intuitive interface. Despite its capabilities, areas like documentation, disaster recovery, and high availability are improving, with an emphasis on enhanced protocol support and serverless offerings.
What are CockroachDB's key features?CockroachDB finds application across industries such as fintech and media, where distributed transactions and high availability are critical. It's ideal for platforms requiring real-time data processing, like credit scoring and music streaming, thanks to its scalability, resilience, and top-tier security.
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.
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