OpenText Data Discovery

Name: OpenText Data Discovery
Brand: OpenText
Rating: 4.4 (17 reviews)

Leader

Information Reimagined

Est 1991|Valuation $6.3B|Raised $14.3B

LinkedIn 550K|Website|Web traffic 1.1M|FTEs 19,900|HQ Waterloo, Ontario, CA

MarketsData Preparation Business Intelligence (BI) and Analytics Data Science & Machine Learning Platforms Data Visualization Self-Service Analytics

01Competitive Landscape

Narrative competitive analysis

- Against Tableau: Tableau is often selected for high-quality visualization and broad availability of trained personnel and community content. Organizations prioritizing visualization maturity and a large talent pool commonly select Tableau. Organizations prioritizing alignment with OpenText's information management and analytics stack may find OpenText Data Discovery more aligned with their enterprise architecture. - Against Qlik Sense: Qlik is frequently adopted for its associative exploration model and for internal distribution at scale. Pricing and packaging can be complex on the enterprise side across vendors; procurement diligence is advised. - Against Power BI: Power BI is commonly chosen for cost-effectiveness and deep integration with Microsoft 365 and Azure; it can be a strong alternative when organizations standardize on Microsoft technology.

When competitors excel

Tableau: visualization quality, community content, and talent availability.
Power BI: cost-effectiveness and Microsoft ecosystem integration.
Qlik: associative analytics model and scalable internal distribution economics.

	OpenText Data Discovery (Magellan)	Tableau	Qlik Sense
Starting Price	Not publicly listed (quote-based)	Public list pricing is available for Viewer/Explorer/Creator tiers; enterprise bundles vary	Public entry pricing exists for Qlik Cloud plans; enterprise deals are often quote-based or capacity-based
Primary fit	Enterprises seeking an OpenText-aligned analytics capability with integrated discovery and advanced analytics	Strong visualization capabilities and a large community; widely used for dashboarding and exploratory analytics	Associative analytics engine suited to interactive exploration; options for scalable distribution
Key Strength	Integrated data preparation and advanced analytics within a single module; positioned for enterprise governance and integration with OpenText stack	High-quality visualization, large user community, extensive third-party content	Associative exploration model and scalable deployment options; governed analytics features
Key Weakness	Limited independent review coverage; pricing opacity; reported training and enablement gaps	Pricing complexity and community complaints around packaging and cost changes	Enterprise pricing complexity and potential learning curve for some use cases

01Competitive Landscape

Narrative competitive analysis

Against Tableau: Tableau is often selected for high-quality visualization and broad availability of trained personnel and community content. Organizations prioritizing visualization maturity and a large talent pool commonly select Tableau. Organizations prioritizing alignment with OpenText's information management and analytics stack may find OpenText Data Discovery more aligned with their enterprise architecture.
Against Qlik Sense: Qlik is frequently adopted for its associative exploration model and for internal distribution at scale. Pricing and packaging can be complex on the enterprise side across vendors; procurement diligence is advised.
Against Power BI: Power BI is commonly chosen for cost-effectiveness and deep integration with Microsoft 365 and Azure; it can be a strong alternative when organizations standardize on Microsoft technology.

When competitors excel

Tableau: visualization quality, community content, and talent availability.
Power BI: cost-effectiveness and Microsoft ecosystem integration.
Qlik: associative analytics model and scalable internal distribution economics.

	OpenText Data Discovery (Magellan)	Tableau	Qlik Sense
Starting Price	Not publicly listed (quote-based)	Public list pricing is available for Viewer/Explorer/Creator tiers; enterprise bundles vary	Public entry pricing exists for Qlik Cloud plans; enterprise deals are often quote-based or capacity-based
Primary fit	Enterprises seeking an OpenText-aligned analytics capability with integrated discovery and advanced analytics	Strong visualization capabilities and a large community; widely used for dashboarding and exploratory analytics	Associative analytics engine suited to interactive exploration; options for scalable distribution
Key Strength	Integrated data preparation and advanced analytics within a single module; positioned for enterprise governance and integration with OpenText stack	High-quality visualization, large user community, extensive third-party content	Associative exploration model and scalable deployment options; governed analytics features
Key Weakness	Limited independent review coverage; pricing opacity; reported training and enablement gaps	Pricing complexity and community complaints around packaging and cost changes	Enterprise pricing complexity and potential learning curve for some use cases