OpenText named a Leader in 2025 IDC MarketScape for Worldwide Analytical Databases

Rhea-AI Summary

OpenText (NASDAQ: OTEX) was named a Leader in the IDC MarketScape: Worldwide Analytical Databases 2025 (doc #US52973925, November 2025), announced Dec 2, 2025. The recognition cites OpenText Analytics Database (formerly Vertica) for petabyte-scale real-time analytics, in-database machine learning, strong security controls, and reduced data duplication.

IDC highlighted three strengths: enterprise-scale performance via a massively parallel columnar engine, advanced compression and storage efficiency that lowers TCO, and deployment flexibility across on-premises, private cloud, and major public clouds including containerized Kubernetes deployments.

News Market Reaction

-0.39%

1 alert

-0.39% News Effect

On the day this news was published, OTEX declined 0.39%, reflecting a mild negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Reality Check

Price: $25.35 Vol: Volume 855,898 is 0.72x t...

normal vol

$25.35 Last Close

Volume Volume 855,898 is 0.72x the 20-day average 1,195,179, indicating subdued trading interest pre-announcement. normal

Technical Shares trade above the 200-day MA, with price at 33.41 versus MA(200) at 30.88.

Peers on Argus

Peers showed mixed but generally positive moves: PEGA +0.84%, CVLT +0.70%, ESTC ...

Peers showed mixed but generally positive moves: PEGA +0.84%, CVLT +0.70%, ESTC +1.69%, SRAD +1.05%, while NICE -0.19%. With OTEX up 0.66% and no peers in the momentum scanner, the reaction appeared more company-specific than a broad sector swing.

Common Catalyst Select peers also had recognition/AI-related headlines, suggesting ongoing interest in analytics and AI software, but without a synchronized sector-wide momentum signal.

Historical Context

5 past events · Latest: Dec 09 (Neutral)

Pattern 5 events

Date	Event	Sentiment	Move	Catalyst
Dec 09	Governance & voting	Neutral	+0.7%	Shareholders confirmed all board nominees at the virtual annual meeting.
Dec 02	Analyst recognition	Positive	-0.4%	Named a Leader in IDC MarketScape for analytical databases capabilities.
Nov 19	Cloud AI partnership	Positive	+0.6%	Expanded Google Cloud partnership for AI, data protection and sovereign cloud.
Nov 18	Platform launch	Positive	+0.6%	Launched OpenText AI Data Platform with roadmap and new integrations.
Nov 13	Industry AI report	Neutral	-1.6%	World Quality Report 2025 highlighted strong AI interest but scaling challenges.

Pattern Detected

Over the last five news events, most positive strategic and AI-related announcements aligned with modest share gains, while one analyst recognition and one mixed AI adoption report coincided with mild to moderate declines.

Recent Company History

This announcement continues a series of AI- and data-focused developments. In November 2025, OpenText unveiled its AI Data Platform and deepened its Google Cloud partnership, with both headlines followed by modest gains of about 0.55%. The earlier IDC MarketScape 2025 Leader recognition on Dec 2 saw a slight -0.39% move, showing markets did not always reward third-party accolades. Governance items like the Dec 9 director elections and the World Quality Report 2025 produced small, mixed reactions, suggesting generally moderate sensitivity to news flow.

Market Pulse Summary

This announcement highlights third-party validation of OpenText’s analytics engine, emphasizing peta...

Analysis

This announcement highlights third-party validation of OpenText’s analytics engine, emphasizing petabyte-scale performance, in-database machine learning, and hybrid cloud deployment options. Recent AI-focused launches and partnerships in November 2025 reinforced a consistent strategy around secure, enterprise-grade data platforms. Investors may watch how these capabilities translate into revenue and profitability alongside trends seen in recent filings, as well as whether additional customer wins or case studies further substantiate the platform’s competitive position.

Key Terms

idc marketscape, in-database machine learning, massively parallel processing, columnar architecture, +2 more

6 terms

idc marketscape technical

"recognized as a Leader in the IDC MarketScape: Worldwide Analytical Databases"

IDC MarketScape is a third‑party research report that evaluates and ranks technology vendors within a specific market, summarizing each provider’s strengths, weaknesses and market position on an easy‑to‑read visual “map.” Investors treat it like an independent report card to compare competitors, understand who leads or lags, and spot product or market risks and opportunities that can affect company value.

in-database machine learning technical

"With built-in support for modern data science workflows, including in-database machine learning"

In-database machine learning means building and running predictive models directly inside a company’s database where the raw data already sits, instead of exporting that data to separate analytics servers. For investors this matters because it can deliver faster insights, lower data-handling costs, and better security — like cooking in the same kitchen where your ingredients are stored — which can translate into quicker decision-making, tighter margins, and a potential competitive edge for firms that rely heavily on data.

massively parallel processing technical

"builds on a massively parallel processing columnar architecture that delivers predictable performance"

Massively parallel processing is a way of solving big computing jobs by breaking them into many small pieces and running them at the same time on lots of processors or machines, like dozens or thousands of cooks working on different parts of the same meal. For investors, it matters because it greatly speeds up heavy tasks such as large-scale data analysis, simulations or AI training, reducing time and cost and enabling companies to handle more customers, deliver new services, or gain a competitive edge.

columnar architecture technical

"massively parallel processing columnar architecture that delivers predictable performance"

Columnar architecture is a way of organizing data so related values from the same field are stored together in vertical groups, rather than storing all fields for each record side-by-side. For investors, this matters because it speeds up large-scale analysis and reporting—like scanning only the price column instead of every detail—reducing computing costs and improving the performance of analytics, business intelligence, and trading systems.

time-series data technical

"complex queries across structured, semistructured, and time-series data."

A sequence of measurements recorded at regular or irregular time points, such as daily stock prices, quarterly revenue, or minute-by-minute trade volumes. Like a diary or a thermometer that shows how something changes over time, time-series data lets investors spot trends, cycles, sudden shifts and volatility, which helps with forecasting future values, timing trades, assessing risk and making informed decisions about allocations and strategy.

kubernetes technical

"including containerized deployments managed with Kubernetes."

Kubernetes is an open-source system that automates running and managing many pieces of software across groups of computers, like a conductor coordinating musicians so each piece plays at the right time and place. For investors, it matters because companies that use it can deploy updates faster, scale services up or down automatically, and cut infrastructure costs — factors that influence growth, reliability and operating margins.

AI-generated analysis. Not financial advice.

WATERLOO, ON, Dec. 2, 2025 /PRNewswire/ -- OpenText™ (NASDAQ: OTEX) (TSX: OTEX), a global leader in secure information management for AI, has been recognized as a Leader in the IDC MarketScape: Worldwide Analytical Databases 2025 Vendor Assessment (doc #US52973925, November 2025). OpenText Analytics Database, formerly known as Vertica, is an AI-powered, high-performance query engine designed for today's massive and fast-growing data workloads. The platform delivers real-time analytics at petabyte-scale, helping organizations unlock the full value of their data while maintaining security and control. With built-in support for modern data science workflows, including in-database machine learning, it reduces data duplication and improves cost efficiency. 

As organizations place value on strong security certifications, robust data protection, comprehensive audit logging, and support for key security controls, OpenText Analytics Database as a secure and dependable foundation for AI-driven data workloads.

"Organizations are under unrelenting pressure to deliver high-performance analytics on massive amounts of data," said Jason Blackett, Vice President of Software Engineering, OpenText. "OpenText Analytics Database is that go-to solution for customers seeking both speed and security, enabling them to analyze vast amounts of information almost instantly, delivering real-time insights with the flexibility and protection today's enterprises demand."

According to the report, OpenText was recognized for the following strengths:

• Performance and scalability at enterprise scale: OTAD builds on a massively parallel processing columnar architecture that delivers predictable performance for large-scale analytical workloads. The platform supports petabyte-scale deployments with high concurrency and complex queries across structured, semistructured, and time-series data. Enterprises can rely on its ability to sustain performance across diverse analytical requirements without degradation. By combining mature query optimization with distributed scalability, OTAD provides a foundation for organizations seeking to run mission-critical analytics at enterprise scale.
• Advanced compression and storage efficiency: OTAD applies advanced encoding and compression techniques that reduce storage requirements while accelerating scan performance. Columnar storage, combined with optimized encoding, allows enterprises to minimize total cost of ownership (TCO) while sustaining throughput for analytical workloads. These features make it especially well-suited for organizations with large, complex data sets where efficiency and speed are critical. By improving storage economics without compromising performance, OTAD helps enterprises scale analytics while maintaining cost efficiency.
• Deployment flexibility across hybrid environments: OpenText OTAD supports deployment across on-premises, private cloud, and major public cloud platforms, giving enterprises choice and control in aligning analytics with governance and compliance requirements. Its architecture allows portability across environments, including containerized deployments managed with Kubernetes. This hybrid flexibility enables organizations to modernize incrementally, maintaining existing infrastructure investments while adopting cloud services. For regulated industries, OTAD offers a balanced approach to modernization by supporting hybrid strategies with consistency and control.

Additional Resources

• Learn more about OpenText Analytics Database
• Read the IDC MarketScape for Worldwide Analytical Databases excerpt

About IDC MarketScape:

IDC MarketScape vendor assessment model is designed to provide an overview of the competitive fitness of technology and service suppliers in a given market. The research utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each supplier's position within a given market. IDC MarketScape provides a clear framework in which the product and service offerings, capabilities and strategies, and current and future market success factors of technology suppliers can be meaningfully compared. The framework also provides technology buyers with a 360-degree assessment of the strengths and weaknesses of current and prospective suppliers.

About OpenText 

OpenText™ is a leading Cloud and AI company that provides organizations around the world with a comprehensive suite of Business AI, Business Clouds, and Business Technology.  We help organizations grow, innovate, become more efficient and effective, and do so in a trusted and secure way – through Information Management. For more information about OpenText (NASDAQ/TSX: OTEX), please visit us at www.opentext.com.  

Connect with us:

OpenText Executive Thought Leadership blog

Twitter | LinkedIn

Certain statements in this press release may contain words considered forward-looking statements or information under applicable securities laws. These statements are based on OpenText's current expectations, estimates, forecasts and projections about the operating environment, economies and markets in which the company operates. These statements are subject to important assumptions, risks and uncertainties that are difficult to predict, and the actual outcome may be materially different. OpenText's assumptions, although considered reasonable by the company at the date of this press release, may prove to be inaccurate and consequently its actual results could differ materially from the expectations set out herein. For additional information with respect to risks and other factors which could occur, see OpenText's Annual Report on Form 10-K, Quarterly Reports on Form 10-Q and other securities filings with the SEC and other securities regulators. Readers are cautioned not to place undue reliance upon any such forward-looking statements, which speak only as of the date made. Unless otherwise required by applicable securities laws, OpenText disclaims any intention or obligations to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise. Further, readers should note that we may announce information using our website, press releases, securities law filings, public conference calls, webcasts and the social media channels identified on the Investors section of our website (https://investors.opentext.com). Such social media channels may include the Company's or our CEO's blog, Twitter account or LinkedIn account. The information posted through such channels may be material. Accordingly, readers should monitor such channels in addition to our other forms of communication.

Copyright © 2025 OpenText. All Rights Reserved. Trademarks owned by OpenText. One or more patents may cover this product(s). For more information, please visit https://www.opentext.com/patents.

OTEX-G

View original content to download multimedia:https://www.prnewswire.com/news-releases/opentext-named-a-leader-in-2025-idc-marketscape-for-worldwide-analytical-databases-302630978.html

SOURCE Open Text Corporation

FAQ

What did OpenText (OTEX) announce on December 2, 2025 about IDC recognition?

OpenText announced it was named a Leader in the IDC MarketScape: Worldwide Analytical Databases 2025 for OpenText Analytics Database.

Why did IDC recognize OpenText Analytics Database (OTEX) as a Leader in 2025?

IDC cited enterprise-scale performance, advanced compression/storage efficiency, and hybrid deployment flexibility as key strengths.

How does OpenText Analytics Database (OTEX) describe its scalability and data support?

The platform supports petabyte-scale deployments with high concurrency across structured, semi-structured, and time-series data.

Does the OpenText (OTEX) product support machine learning and reduce data duplication?

Yes; OpenText Analytics Database includes in-database machine learning capabilities and aims to reduce data duplication for efficiency.

What deployment options does OpenText Analytics Database (OTEX) offer for regulated industries?

OTAD supports on-premises, private cloud, and major public cloud deployments plus containerized Kubernetes options to help meet governance and compliance needs.