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Teradata Analysis

What is Teradata?

Trusted AI and data platform for enterprises

Location
10000 Innovation Drive, San Diego, California 92128, United States
Employees
5001-10000
Founded
1979
Customer Satisfaction
3.9 to 4.3
Deployment Type
Hybrid
Implementation Complexity
Complex
Initial Price
$4.80/hour, $4,800/month, $9,000/month
Ongoing Support Cost
$4.80 per hour, $9,000 per month

Product Features & Capabilities

  • Teradata VantageCloud for hybrid data analytics
  • Teradata AI Factory for scalable AI solutions
  • ClearScape Analytics for advanced data insights
  • Flexible pricing models for cost-effective analytics
  • Comprehensive data management solutions for enterprise needs.

Other Considerations

Serves many Fortune 500 companies; Recognized for innovation in data analytics; Offers a comprehensive partner ecosystem for enhanced solutions.

Companies Using Product

Brinker International (https://www.brinker.com/) American Airlines (https://www.aa.com/) Unilever (https://www.unilever.com/) Netflix (https://www.netflix.com/) Verizon Communications (https://www.verizon.com/) Airgas (https://www.airgas.com/) Bunnings (https://www.bunnings.com.au/) Cisco (https://www.cisco.com/) Dell (https://www.dell.com/) DHL Express (https://www.dhl.com/)

Company Context --- Company Name: Teradata; Company Website: https://www.teradata.com/

Market Position

Teradata is positioned as a leader in the data analytics and hybrid cloud industry, particularly recognized for its comprehensive cloud analytics platform, VantageCloud. The company emphasizes its capabilities in integrating artificial intelligence (AI) and machine learning (ML) at scale, which enhances its data analytics offerings. Teradata's market strategy focuses on supporting hybrid cloud deployments, allowing organizations to unify and harmonize their data across various environments. This positioning is further strengthened by its commitment to innovative data management architectures, such as data mesh and data fabric, which cater to the evolving needs of enterprises.

Teradata's shift from traditional data warehousing to a cloud-first approach reflects its adaptation to a multi-cloud ecosystem, where it competes with agile cloud-native companies like Snowflake and Databricks. The company also emphasizes collaboration through a partner-first strategy, recognizing the importance of partnerships in cloud deployments. Overall, Teradata's strong vision and extensive experience in AI applications position it as a key player in the rapidly evolving landscape of data analytics.

Key Disadvantages

  • High pricing compared to competitors, making it less accessible for smaller organizations.
  • Limited compatibility with some Big Data platforms.
  • Performance issues with large datasets, particularly in data ingestion times.
  • Decreased performance due to limited memory availability.

Key Advantages

  • Massively Parallel Processing (MPP): Teradata's architecture allows for faster and more efficient query execution by distributing data and workloads across multiple nodes.
  • Unlimited Scalability: Easily add nodes to accommodate growing data requirements without compromising performance.
  • Advanced Analytics Capabilities: Offers sophisticated analytics tools that enable complex data processing and insights.
  • Flexible Deployment Options: Provides on-premises, cloud, or hybrid solutions tailored to organizational needs.
  • High Performance for Complex Queries: Capable of handling complex queries with multiple joins efficiently.
  • Strong Security Features: Robust security measures to protect sensitive data across platforms.

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