Teradata

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Teradata

Teradata Competitive Intelligence & Landscape

teradata.com ·

Overview

Teradata Overview

Teradata is a global technology company specializing in data analytics and artificial intelligence (AI) solutions, dedicated to transforming enterprise data into actionable insights [https://teradata.com/]. The company's mission is to empower enterprises to achieve autonomous action by accelerating decision cycles, reducing operational overhead, and enhancing consistency and accuracy across critical workflows [http://investor.teradata.com/overview/default.aspx].

At its core, Teradata offers an AI + Knowledge Platform and AI Services, designed to operationalize AI and analytics that learn, adapt, and optimize decisions [https://teradata.com/]. This platform connects multi-modal data as enterprise knowledge, allowing AI to act by embedding intelligence into workflows for autonomous, real-time execution [https://teradata.com/]. It unifies data, AI, and analytics to move intelligence from insight to continuous action, grounded in trusted enterprise context [https://www.teradata.com/platform].

Teradata targets leading enterprises across various industries globally, providing the trusted foundation they need to achieve true autonomy in their operations [https://www.teradata.com/why-teradata]. The company's solutions combine domain expertise with enterprise context, connecting and scaling across any environment to deliver the performance AI requires [https://www.teradata.com/about-us]. Through its platform and services, Teradata helps companies quickly seize new opportunities by enabling them to turn intelligence into autonomous action [http://investor.teradata.com/overview/default.aspx].

Competitors

Teradata Competitors

Teradata faces significant competition from other major players in the data analytics and cloud data platform markets. One prominent competitor is Snowflake, which is often directly compared to Teradata in terms of cloud analytics and data platforms [teradata.com/getting-started/pricing/workload-comparisons]. Both companies offer solutions for data warehousing and analytics, with Snowflake being recognized as a cloud-native innovator [koalagains.com/stocks/NYSE/TDC/competition]. The pricing and performance of these platforms are often key differentiators, with Teradata emphasizing its ability to achieve more while potentially spending less [teradata.com/getting-started/pricing/workload-comparisons].

Databricks is another strong competitor, frequently seen in competitive deals against Teradata [repvue.com/companies/Teradata/competitors].

Databricks offers a Data Intelligence Platform and is considered a cloud-native innovator like Snowflake [softwarereviews.com/categories/108/products/3327/alternatives][koalagains.com/stocks/NYSE/TDC/competition]. Their offerings often include data engineering, data warehousing, and machine learning capabilities, positioning them as a comprehensive solution for data and AI [softwarereviews.com/categories/108/products/3327/alternatives].

Microsoft, through its Azure Synapse Analytics platform, also competes with Teradata [softwarereviews.com/categories/108/products/3327/alternatives].

Microsoft is a broad technology company that offers a wide range of cloud services, and Azure Synapse Analytics provides integrated analytics capabilities.

Teradata ranks 4th in Pricing Score on Comparably against competitors like Microsoft, IBM, and Amazon [comparably.com/companies/teradata-corporation/competitors].

Cloudera is identified as a top competitor by sales representatives, who frequently encounter them in deals against Teradata [repvue.com/companies/Teradata/competitors].

Cloudera provides a hybrid platform for data and artificial intelligence, offering services such as data engineering, data warehousing, and machine learning across various sectors [cbinsights.com/company/teradata-corporation/alternatives-competitors]. Their focus on a hybrid data platform differentiates them in the market.

Alternatives

Teradata Alternatives

Product & Pricing

Teradata Product and Pricing Intelligence

Teradata offers flexible and transparent pricing models for its VantageCloud Enterprise platform, designed to cater to varying workload sizes and organizational needs [https://www.teradata.com/getting-started/pricing]. The company provides deployment options that allow for dynamic resource allocation and cost-effective scaling, aiming to lower the total cost of ownership (TCO) through models like blended or consumption-based pricing [https://www.teradata.com/platform/deployment].

A key pricing option is Consumption Pricing, an innovative, usage-based model where customers pay only for the compute resources consumed by successful queries, measured down to the kilobyte by user, plus storage [https://assets.teradata.com/resourceCenter/downloads/Datasheets/Teradata-Vantage-Consumption-Pricing-Datasheet-MD003285.pdf]. This model offers automatic elasticity, meaning users never need to worry about utilization, system sizing, or resource status, as Teradata manages these aspects. This "zero down" approach ensures customers only pay for what they use, providing a risk-free experience [https://assets.teradata.com/resourceCenter/downloads/Datasheets/Teradata-Vantage-Consumption-Pricing-Datasheet-MD003285.pdf].

Teradata VantageCloud Enterprise features TCore Pricing options across all public cloud platforms where it's available, with specific addendums for each cloud platform detailing additional terms [https://support.teradata.com/sys_attachment.do?sys_id=a3b96c122b67f6901c2efd724291bfd9]. The features and functions available within VantageCloud Enterprise vary by package, including Enterprise Package and Enterprise + Package. Both packages include essential features like compute metric units, Teradata Columnar, Teradata Intelligent Memory, Row-Level Security, and Temporal capabilities [https://docs.teradata.com/r/Teradata-VantageCloud-Enterprise/Welcome-to-VantageCloud-Enterprise/Enterprise-Packages-Unit-Consumption-Pricing?contentId=L8GoG83_OzxGpsDXuLngNg].

For those utilizing VantageCore VMware, features are dependent on the specific license tier (Base, Advanced, Enterprise). While many Vantage features are offered, their availability can vary [https://docs.teradata.com/r/VMware/Teradata-VantageCore-VMware-Base-Advanced-Enterprise-Tiers-Getting-Started-Guide-4.1/Preparing-for-Installation/Database-Option-Management/Teradata-Vantage-Features?contentId=uATj%7EynYYg9_fMLjgrKzew]. Regardless of the chosen option, Teradata provides an intuitive, self-service console for full visibility and control over usage, allowing customers to track usage, allocation, and generate detailed reports across all instances [https://www.teradata.com/getting-started/pricing]. This comprehensive approach to pricing and product features ensures flexibility and cost-effectiveness for managing enterprise data and analytics.

Hiring & Layoffs

Teradata Hiring and Layoffs

Teradata.com actively recruits individuals to "transform the world through the power of data" and offers a secure, transparent job search experience [https://www.teradata.com/about-us/careers]. The company has issued important notices regarding recruitment scams, urging job seekers to verify that all legitimate opportunities are posted on their official careers site to protect themselves [https://careers.teradata.com/]. This proactive communication underscores Teradata's commitment to a trustworthy hiring process.

Recent job postings indicate a strong focus on engineering and product development, particularly in areas related to artificial intelligence and cloud analytics. For example, Teradata was recently seeking a "Research Engineer – Agentic Platforms" [https://careers.teradata.com/jobs/219949/research-engineer-agentic-platforms] and multiple "Senior Software Engineer" positions [https://careers.teradata.com/jobs/220047/senior-software-engineer][https://careers.teradata.com/jobs/220028/senior-software-engineer]. These roles, some posted within the last week, highlight Teradata's continued investment in advancing its core cloud analytics and data platform for AI, aiming to deliver harmonized data, trusted AI, and faster innovation to its customers.

The company is also looking for a "Senior Staff Product Manager, Agentic Lakehouse," a position posted over 30 days ago [https://careers.teradata.com/jobs/220069/senior-staff-product-manager-agentic-lakehouse]. This specific role, along with the engineering positions, signals a strategic emphasis on expanding and enhancing its data platform capabilities, especially in emerging fields like agentic platforms and lakehouse architecture. The consistent demand for skilled professionals in these areas suggests that Teradata is strategically hiring to bolster its technological advancements and maintain its competitive edge in the data and analytics industry.

While the provided search results do not explicitly detail any recent layoffs, the robust and ongoing recruitment for specialized technical roles across various geographies, including remote options [https://careers.teradata.com/jobs?page=1&remote=true], indicates a period of strategic growth and investment in its workforce.

Teradata's hiring patterns signal a strong company strategy centered on innovation in cloud analytics and AI, reinforcing its mission to empower customers with trusted information for better decision-making.

Leadership

Teradata Management and Leadership Team

Teradata is led by a strong executive team, with Steve McMillan serving as President and Chief Executive Officer. He also joined the board in June 2020, bringing over two decades of technology experience and a focus on transforming enterprise services and product businesses into industry-leading cloud offerings [https://www.teradata.com/about-us/leadership/steve-mcmillan]. The company's leadership team is dedicated to transforming how businesses operate and people live through the power of data [https://www.teradata.com/about-us/corporate-governance/board-of-directors].

Key members of the executive leadership include John Ederer as the Chief Financial Officer (CFO), responsible for corporate finance functions such as accounting, investor relations, and financial planning [https://www.teradata.com/about-us/leadership/john-ederer].

Sumeet Arora holds the position of Chief Product Officer, overseeing engineering, product management, and the quality of Teradata's innovations [https://www.teradata.com/about-us/leadership/sumeet-arora]. Guiding the company’s technological vision and innovation strategy as Chief Technology Officer (CTO) is Louis Landry, who focuses on leveraging Teradata's strengths amidst shifts towards open data platforms and the revolution in artificial intelligence, including generative AI [https://www.teradata.com/about-us/leadership/louis-landry].

Recent leadership changes at Teradata include the appointment of Josh Fecteau as the Chief Data and AI Officer (CDAO) & Chief Information Officer (CIO), a combined role effective June 2, 2026. This move unifies data, AI, and technology leadership under a single executive [http://investor.teradata.com/news-events/investor-news/news-details/2026/Teradata-Names-Josh-Fecteau-as-CDAO-and-CIO-Unifying-Data-AI-and-Technology-Under-One-Leader/default.aspx]. Other notable C-suite executives include Michael Hutchinson as Chief Operating Officer, Richard Petley as Chief Revenue Officer, Scot Rogers as Chief Administrative Officer, and Ken Ricketts as Chief Information and Security Officer [https://www.teradata.com/getattachment/105c1ace-e4d6-4d58-91ea-a408140db216/Media-Backgrounder.pdf].

The Teradata Board of Directors plays a crucial role in corporate governance, with Mike Gianoni serving as Chairman [https://www.teradata.com/about-us/corporate-governance/board-of-directors]. The board also includes Stephen McMillan, Lisa R. Bacus, Timothy C. K. Chou, Melissa B. Fisher, Todd E. McElhatton, Kimberly K. Nelson, Joanne B. Olsen, and John G. Schwarz. These members are also part of various committees, including the Executive Committee, Compensation and People Committee, Audit Committee, and Nominating and Governance Committee, as of May 14th, 2026 [https://investor.teradata.com/governance/committee-composition/default.aspx].

Financials

Teradata Financial Performance, Fundraising, M&A

Teradata (teradata.com) has demonstrated solid financial performance, with recent reports highlighting growth in recurring revenue and Annual Recurring Revenue (ARR). In the fourth quarter of 2025, Teradata reported total ARR of $1.522 billion, a 3% increase as reported, and recurring revenue of $367 million, up 5% [investor.teradata.com/news-events/investor-news/news-details/2026/Teradata-Reports-Fourth-Quarter-and-Full-Year-2025-Financial-Results/default.aspx]. For the full year 2025, cash flow from operations reached $305 million [investor.teradata.com/news-events/investor-news/news-details/2026/Teradata-Reports-Fourth-Quarter-and-Full-Year-2025-Financial-Results/default.aspx]. Earlier in 2025, the second quarter saw total ARR at $1.489 billion and public cloud ARR at $634 million, an increase of 17% [investor.teradata.com/news-events/investor-news/news-details/2025/Teradata-Reports-Second-Quarter-2025-Financial-Results/default.aspx].

The company's public cloud segment continues to be a strong growth driver. In the first quarter of 2025, public cloud ARR was $606 million, a 15% increase, while GAAP operating margin improved to 15.8%, up 550 basis points year-over-year [www.teradata.com/getattachment/8cd65f4b-0c6b-4ec0-be10-edf21bd7152a/Q1-2025-Earnings-Release-with-Schedules-A-D.pdf?lang=en-US]. Looking back at full-year 2024, Teradata reported GAAP diluted EPS of $1.16, a 90% increase, and non-GAAP diluted EPS of $2.42, up 17% [investor.teradata.com/financial-reports/quarterly-results/default.aspx]. Cash from operations for 2024 was $303 million, with free cash flow at $277 million [investor.teradata.com/financial-reports/quarterly-results/default.aspx].

Teradata also actively manages its financial health through share repurchases. In 2023, the company executed $308 million in share repurchases, which represented an 87% return of free cash flow [www.teradata.com/getattachment/76a94a6d-6098-41a6-b210-18d6734249d6/Q4-2023-Earnings-Press-Release-with-Schedules.pdf?lang=en-US]. For the full year 2023, cash from operations was $375 million and free cash flow stood at $355 million [www.teradata.com/press-releases/2024/teradata-reports-fourth-quarter-and-full-year-2023-financial-results]. The company's consistent reporting through SEC filings provides transparency into its financial operations [investor.teradata.com/financials/sec-filings/default.aspx].

Partnerships

Teradata Partnerships, Clients and Vendors

Teradata actively cultivates a robust ecosystem of partnerships to deliver advanced AI and data solutions. A key collaboration involves NVIDIA, where Teradata integrates its software stack and AI Studio with NVIDIA's accelerated computing and AI software to power "Teradata Factory" and "Teradata Enterprise Vector Store," enabling private and governed AI at scale [https://www.teradata.com/partners/nvidia]. For nearly two decades, Teradata has also partnered with IBM, serving over 500 customers globally by combining best-in-class components for data insights [https://www.teradata.com/partners/ibm]. Furthermore, Deloitte acts as a preferred systems integrator, assisting mutual clients in migrating their on-premise data management and analytics to Teradata Vantage, Teradata's connected multi-cloud data platform [https://www.teradata.com/partners/deloitte].

Teradata extends its technological reach through strategic alliances with major cloud providers and data movement specialists. With Google Cloud, Teradata empowers AI innovation, offering expertise and scale for deploying generative AI solutions via Gemini and accelerating AI initiatives with Google Cloud Vertex AI [https://www.teradata.com/platform/deployment/google-cloud].

Teradata has also renewed and expanded its Strategic Collaboration Agreement with Amazon Web Services (AWS), focusing on cloud migration, data analytic modernization, and leveraging generative AI for industry-specific use cases [https://www.teradata.com/press-releases/2024/teradata-expands-strategic-collaboration-agreement-with-aws]. To streamline data integration, Teradata partners with Fivetran, the leader in data movement, to automate the flow of data from various enterprise sources into the Teradata VantageCloud platform, facilitating rapid AI insights [https://investor.teradata.com/news-events/investor-news/news-details/2025/Teradata-and-Fivetran-Collaborate-to-Transform-Data-Pipelines-for-Rapid-AI-Insights/default.aspx].

The company's commitment to delivering Trusted AI is further reinforced by its partner ecosystem, which connects customers to best-in-class tools and technologies [https://www.teradata.com/partners]. Since 2007, Teradata has worked closely with SAS to build specialized solutions for big data analytics, with Teradata development teams often on-site at SAS to ensure rigorous testing and high performance [https://www.teradata.com/partners/sas]. Most recently, in May 2025, Teradata announced a partnership with ServiceNow to empower AI agents and enable autonomous workflows, integrating with ServiceNow’s Workflow Data Fabric to connect and activate customer data on the ServiceNow AI Platform [https://investor.teradata.com/news-events/investor-news/news-details/2025/Teradata-and-ServiceNow-Partner-to-Empower-AI-Agents-Enable-Autonomous-Workflows-at-Scale-05-07-2025/default.aspx]. These collaborations collectively aim to provide scalable, transparent, and value-driven AI solutions, addressing diverse business challenges [https://www.teradata.com/partners/solutions].

Events

Teradata Event Participations

Teradata actively participates in a diverse range of events, spanning global conferences, specialized industry summits, and proprietary virtual and in-person gatherings. They host their own major event series, such as the "Autonomous Intelligence World Tour" for 2026, which focuses on transforming knowledge into autonomous decisions in various cities and online Teradata Autonomous Intelligence World Tour. Additionally, their "Possible 2025" event is a global series for data leaders, highlighting trusted AI and data, offering workshops, training, and networking opportunities for the developer community Teradata Possible 2025.

Teradata also maintains a strong presence at significant industry-wide events. They will be at ViVE 2026 in Los Angeles to showcase "Teradata 3.0: Autonomous AI + Knowledge Platform" and their Healthcare Intelligence Framework Teradata ViVE 2026. Furthermore, Teradata is a participant in the "Gartner Data & Analytics Summits," demonstrating their intelligence platform and how to achieve AI with ROI, including a presence in Mumbai, India in September 2026 Teradata Gartner Data & Analytics Summits.

Beyond their own events and industry summits, Teradata collaborates with key technology partners. They join "Dell Technologies World 2026" to highlight the Teradata Factory, an on-premises system built with Dell infrastructure, focusing on activating enterprise intelligence and driving AI with ROI Teradata at Dell Technologies World.

Teradata is also a proud sponsor at the "Dell Technologies Forum," showcasing how they empower enterprises to unlock data potential for smarter decisions Teradata at Dell Technologies Forum. Moreover, they participate in "NVIDIA GTC" to discuss accelerating enterprise AI by unifying data, knowledge, and business context Teradata at NVIDIA GTC.

In addition to these, Teradata hosts virtual webinars, such as the "Teradata Product Roadmap Roadshow" in September, covering topics like generative AI, open table formats, and AI at scale, providing an exclusive customer webinar on their latest innovations and vision Teradata Product Roadmap Roadshow. They also organize a "Partner Forum 2026," a dedicated event for global partner executives and business leaders to explore operationalizing AI and autonomous intelligence at scale Teradata Partner Forum 2026.

Frequently Asked Questions

What is Teradata's strategic focus in its current product development and hiring efforts?

Teradata is strategically focused on advancing its core cloud analytics and data platform, with a strong emphasis on artificial intelligence, agentic platforms, and lakehouse architecture. This is evident in recent job postings for 'Research Engineer – Agentic Platforms,' 'Senior Software Engineer,' and 'Senior Staff Product Manager, Agentic Lakehouse,' signaling investment in these emerging fields to enhance its data platform capabilities.

How is Teradata adapting its technology to address modern AI requirements, particularly with generative AI?

Teradata is adapting its technology by integrating its AI + Knowledge Platform and AI Services to operationalize AI and analytics that learn and adapt. The company is actively developing solutions to accelerate enterprise AI by unifying data, knowledge, and business context, as highlighted by its participation in NVIDIA GTC and its 'Autonomous Intelligence World Tour' focusing on autonomous decisions and trusted AI.

What kind of financial performance has Teradata demonstrated recently, particularly in its cloud offerings?

Teradata has shown solid financial performance, with notable growth in recurring revenue and Annual Recurring Revenue (ARR). In Q4 2025, total ARR reached $1.522 billion (up 3%), and public cloud ARR was $634 million in Q2 2025 (up 17%), indicating strong growth in its public cloud segment. Cash flow from operations also reached $305 million for the full year 2025.

What changes in leadership suggest Teradata's strategic direction towards data and AI integration?

Teradata's appointment of Josh Fecteau as Chief Data and AI Officer (CDAO) & Chief Information Officer (CIO) in June 2026 suggests a strategic unification of data, AI, and technology leadership. This move aims to streamline decision-making and innovation in these critical areas, reflecting the company's commitment to leveraging data and AI for autonomous workflows.

How does Teradata differentiate its pricing model in the competitive cloud data platform market?

Teradata differentiates its pricing with 'Consumption Pricing,' a usage-based model where customers pay only for compute resources consumed by successful queries, plus storage. This model emphasizes automatic elasticity and a 'zero down' approach, aiming to lower the total cost of ownership by allowing customers to pay only for what they use, unlike fixed subscription models from some competitors.

Who are Teradata's primary competitors, and how do they generally stack up against Teradata's offerings?

Teradata faces significant competition from cloud-native providers like Snowflake and Databricks, which offer modern cloud-first architectures. It also competes with large cloud providers such as Microsoft (Azure Synapse Analytics), AWS (Redshift), and Google Cloud (BigQuery), as well as hybrid data platform providers like Cloudera. While Teradata focuses on high-performance analytics and mixed workload management for large enterprises, competitors often highlight ease of use, elastic scaling, or comprehensive data lakehouse capabilities.

What is Teradata's strategy for engaging with the broader tech and developer community, based on its events calendar?

Teradata engages with the broader tech and developer community through a mix of proprietary and industry events. Its 'Possible 2025' event series targets data leaders and developers with workshops and networking, while participation in 'Gartner Data & Analytics Summits' and 'NVIDIA GTC' demonstrates its commitment to showcasing intelligence platforms and accelerating enterprise AI.

What strategic partnerships does Teradata prioritize to enhance its AI and data analytics solutions?

Teradata prioritizes strategic partnerships with key technology providers, cloud platforms, and system integrators. Collaborations with NVIDIA and IBM focus on advanced AI and data insights, while partnerships with Google Cloud and AWS emphasize cloud migration, data analytics modernization, and generative AI deployment. The alliance with ServiceNow aims to empower AI agents and autonomous workflows, underscoring a commitment to a robust AI ecosystem.

How is Teradata positioning its 'AI + Knowledge Platform' in the market, and what are its core functionalities?

Teradata positions its 'AI + Knowledge Platform' and AI Services to empower enterprises to achieve autonomous action by transforming data into actionable insights. Its core functionalities include connecting multi-modal data as enterprise knowledge, allowing AI to act by embedding intelligence into workflows for autonomous, real-time execution, and unifying data, AI, and analytics with trusted enterprise context.

What is Teradata's stance on recruitment security, and how does it ensure a trustworthy hiring process?

Teradata is proactive about recruitment security, issuing important notices about scams and urging job seekers to verify all legitimate opportunities on its official careers site. This proactive communication underscores its commitment to a transparent and trustworthy hiring process, aiming to protect applicants from fraudulent activities.

Beyond technical roles, what other strategic hiring areas are implied by Teradata's current recruitment activities?

While the focus is heavily on engineering and product development for AI and cloud analytics, Teradata's consistent and robust recruitment for specialized technical roles across various geographies, including remote options, implies a broader strategic growth and investment in its workforce. This suggests the company is expanding its capacity to deliver on its mission of empowering customers with trusted information for better decision-making.

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