OpenText Analytics Database (Vertica) vs SAP Business Data Cloud comparison

OpenText Analytics Database (Vertica) vs. SAP Business Data Cloud

September 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

6.2

Organizations achieved financial and operational gains with Vertica, reducing costs and processing time while enhancing analytics and performance.

Sentiment score

4.3

Users observed ROI from SAP Business Data Cloud via cost savings, efficiency, and faster returns, especially in specific industries.

I saved a lot of money because the storage was on a cheaper alternative and was not directly on OpenText Analytics Database (Vertica), but on S3.

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

The time we used to take with our earlier databases has reduced to one-tenth of what was there earlier, which is a positive outcome that can be converted to financial metrics in terms of return on investment.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

We have saved a lot on the number of employees, and implementation time for the projects has reduced significantly since we started using the standard features of SAP Business Data Cloud.

reviewer2827314

Principal Architect at a tech consulting company with 501-1,000 employees

Once the content is available, then it is a faster go-live with lesser cost in implementation, and that would give an ROI.

Nitesh Agrawal

Director & Co Owner at INFRABEAT TECHNOLOGIES PVT LTD

It will definitely reduce the need for more staff to handle this technology.

reviewer2837877

SAP BDC Consultant at a tech vendor with 10,001+ employees

For more quotes and insights, download the SAP Business Data Cloud report

Customer Service

Sentiment score

7.1

OpenText Analytics Database's customer service is generally valued for expertise but has occasional response time and escalation issues.

Sentiment score

6.1

SAP Business Data Cloud support has mixed reviews, praised for responsiveness but criticized for delays and complex case handling.

Throughout this process, customer support was outstanding, and we had a person actively supporting us from the OpenText Analytics Database (Vertica) team for our use case.

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

Overall, our experience with OpenText Analytics Database (Vertica) customer support has been good and reliable.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

consultant at tcs

I would give the technical support for SAP Business Data Cloud a 10 out of 10.

Sarah Essam

Business Data Lead (Egypt And North Africa) at Reckitt Benckiser

On a scale from 0 to 10, I would rate their support 10 out of 10.

Amarjeet Kamble

Manager at Syntegon

The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.

For more quotes and insights, download the SAP Business Data Cloud report

Competence Leader - BI at Sabris CZ s.r.o.

Scalability Issues

Sentiment score

7.2

OpenText Vertica offers scalable, efficient data handling with robust performance, though pricing and node addition may challenge some users.

Sentiment score

7.0

SAP Business Data Cloud is scalable, integrates well with systems, and efficiently supports enterprise data and reporting needs.

We have experienced easy horizontal scaling, consistent query performance as data grew, and the ability to handle large analytic workloads.

consultant at tcs

OpenText Analytics Database (Vertica) has very good scalability.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

OpenText Analytics Database (Vertica) can scale to a great extent.

Anuj Chourasia

Analytics Manager at a wholesaler/distributor with 10,001+ employees

The scalability of SAP Business Data Cloud has been strong, as it has handled growth in data volume, user demand, and reporting requirements without significant performance issues.

Niyajuddin Tiwale

Technique at Digitaltrack

It meets the needs of organizations requiring cloud-native architecture, support for large-scale SAP and non-SAP integrations, elastic compute and storage capabilities, and enterprise-grade governance.

Ramesha R

Firmware Developer at a tech vendor with 10,001+ employees

SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.

For more quotes and insights, download the SAP Business Data Cloud report

Competence Leader - BI at Sabris CZ s.r.o.

Stability Issues

Sentiment score

7.2

OpenText Analytics Database offers high stability and performance, with successful migrations and minimal clustering issues ensuring user satisfaction.

Sentiment score

7.5

SAP Business Data Cloud is highly rated for reliability, though occasional downtime occurs during updates or with large datasets.

OpenText Analytics Database (Vertica) is very stable.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.

For more quotes and insights, download the SAP Business Data Cloud report

Competence Leader - BI at Sabris CZ s.r.o.

It has been reliable for reporting, analytics, and data integration activities.

Mithun jadhav

Network Security Engineer at Digital track solutions pvt ltd

This really allowed virtual access to data, which means there was no heavy replication of data involved, greatly improving performance.

Yagya Purush

Associate Manager at a tech vendor with 10,001+ employees

Room For Improvement

OpenText Analytics Database needs improvements in community, cloud features, SQL, integration, cost efficiency, machine learning, and developer tools.

SAP Business Data Cloud requires improvements in cost, integration, performance, AI capabilities, and user onboarding for broader adoption.

Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management.

consultant at tcs

Projections could be made more dynamic, and if they could find a faster way to update, insert, and delete data, that would also be helpful.

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which features a very good comprehensive GUI for querying and analyzing data.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.

For more quotes and insights, download the SAP Business Data Cloud report

Competence Leader - BI at Sabris CZ s.r.o.

If SAP can come up with innovative options to reduce licensing costs, many customers would incline toward SAP Business Data Cloud.

reviewer2827314

Principal Architect at a tech consulting company with 501-1,000 employees

If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.

Nitesh Agrawal

Director & Co Owner at INFRABEAT TECHNOLOGIES PVT LTD

Setup Cost

OpenText Analytics Database offers flexible pricing, often cost-effective for its advanced features, despite being pricey vs. open-source solutions.

SAP Business Data Cloud is valued for integration but criticized for high costs and lack of pricing transparency.

The pricing for OpenText Analytics Database (Vertica) is somewhat on the higher side for the license.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

Nitesh Agrawal

Director & Co Owner at INFRABEAT TECHNOLOGIES PVT LTD

From a planning license perspective, SAC on that side is very expensive if you need developer features.

Norman Ruppert

Director Of Analytics at a outsourcing company with 501-1,000 employees

SAP Business Data Cloud is at a disadvantage when compared to tools like Talend or Informatica, which are cheaper and more capable.

reviewer2860185

Manager at a tech vendor with 10,001+ employees

For more quotes and insights, download the SAP Business Data Cloud report

Valuable Features

OpenText Analytics Database excels in fast query responses, scalability, and real-time insights, enhancing decision-making and operational efficiency.

SAP Business Data Cloud offers user-friendly analytics, AI integration, real-time reporting, and zero-copy data sharing for efficient management.

I can use it in Eon Mode in which I can store the data in cheaper storage such as Amazon S3 and have different compute nodes.

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

Projection and columnar storage are the most valuable features because they dramatically improve query performance and reduce the need for index management.

consultant at tcs

The best features that OpenText Analytics Database (Vertica) offers are mainly the parallel processing, ETL capabilities, and the multi-cloud features which are very handy to use.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.

Bhupesh Akkineni

Project Manager at a tech services company with 51-200 employees

SAP Business Data Cloud has positively impacted my organization by federating SAP data, which is now available for all to use.

Ninad Mehta

Associate director, SAP technical at a outsourcing company with 1,001-5,000 employees

The main standout feature is BDC Connect, as it is very useful for sharing data without replicating to third-party tools such as Enterprise Databricks, Snowflake or even in the near future, Google BigQuery as well as Microsoft Fabric.

reviewer2827314

Principal Architect at a tech consulting company with 501-1,000 employees

For more quotes and insights, download the SAP Business Data Cloud report

Categories and Ranking

OpenText Analytics Database...

Ranking in Cloud Data Warehouse

11th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (6th)

SAP Business Data Cloud

Ranking in Cloud Data Warehouse

4th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

120

Ranking in other categories

Data Integration (8th), BI (Business Intelligence) Tools (3rd), Business Performance Management (2nd), Cloud Analytics (2nd), Predictive Analytics (1st), Data Governance (4th)

Mindshare comparison

As of October 2026, in the Cloud Data Warehouse category, the mindshare of OpenText Analytics Database (Vertica) is 5.1%, down from 6.0% compared to the previous year. The mindshare of SAP Business Data Cloud is 3.5%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
SAP Business Data Cloud	3.5%
OpenText Analytics Database (Vertica)	5.1%
Other	91.4%

Cloud Data Warehouse

Featured Reviews

Data warehousing has transformed reporting performance and now delivers near real-time insights

consultant at tcs

OpenText Analytics Database (Vertica) is a very powerful analytic database, but like any platform, there are areas where it can improve to make daily work even smoother. Better cloud-native experience is one area for improvement. OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud. Improvement opportunities include more seamless cloud-native features such as auto-scaling, serverless options, and easier cluster management. Competitors such as Snowflake and BigQuery provide more fully managed experiences. Easier UI is another area for improvement. Most administration is currently done by SQL and command line tools. An improvement opportunity would be a more modern web UI for monitoring, workload management, and troubleshooting. Faster ecosystem and community growth is needed. In short, OpenText Analytics Database (Vertica) could improve in areas such as cloud-native capability, modern UI for administration, stronger real-time streaming integration, and growing its ecosystem and community. These enhancements would make it easier to manage and adopt compared to newer cloud-first analytic platforms. From a day-to-day operational perspective, there are a few areas where OpenText Analytics Database (Vertica) could improve to make our work smoother. Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management. Right now, monitoring queries often requires system tables and manual analysis. Troubleshooting slow queries takes time. A modern real-time dashboard showing query bottlenecks and resource users would enable quick detection. The impact could be faster issue resolution and less time spent debugging performance. Storage native interaction with modern data tools is also important. In short, from a day-to-day perspective, improvements in automatic projection optimization, better workload monitoring dashboard, easier schema evolution, and stronger modern tool integration would significantly reduce manual tuning effort and improve developer productivity. While OpenText Analytics Database (Vertica) is very powerful, these enhancements would make it more efficient for the analytics team.

Read full review

Brings reporting, planning, and prediction together in one seamless workflow

Competence Leader - BI at Sabris CZ s.r.o.

I think the areas of SAP Analytics Cloud that could be improved or enhanced are mentioned by users or companies, and they would definitely mention the price in terms of planning licensing. From a consulting point of view, I don't see any major weaknesses. It is reasonably well-developed, and the perfect strength is that innovations are coming on a quarterly basis. It is slightly behind other tools in terms of the number of graphical outputs. Some tools have it faster, but every increment of innovations contains new features. On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family, for example, integrated business planning for the production planning. This is really a highlight compared to other tools.

Read full review

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918,169 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Outsourcing Company

13%

Manufacturing Company

10%

Comms Service Provider

Media Company

13%

Outsourcing Company

13%

Manufacturing Company

11%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	43

By reviewers
Company Size	Count
Small Business	47
Midsize Enterprise	22
Large Enterprise	79

Questions from the Community

What is your experience regarding pricing and costs for Vertica?

My experience with pricing, setup cost, and licensing is limited because the organization handled the licensing and pricing as well as the cost setup.

What needs improvement with Vertica?

OpenText Analytics Database (Vertica) is already doing great. There could be a community which could have been much more advanced and more people can be engaged so that any kind of questions, queri...

What is your primary use case for Vertica?

The main use case for OpenText Analytics Database (Vertica) is that we have the Hive and a Hadoop layer for data availability, and Vertica serves as a big data solution. Within a Hive table, OpenTe...

Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...

What is your experience regarding pricing and costs for SAP Analytics Cloud?

I normally do not deal with the commercials, so I am not aware of the pricing part of it.

What needs improvement with SAP Analytics Cloud?

Teradata vs OpenText Analytics Database (Vertica)

Comparisons

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Snowflake vs OpenText Analytics Database (Vertica)

Compared 7% of the time

Oracle Exadata vs OpenText Analytics Database (Vertica)

Compared 5% of the time

Microsoft Parallel Data Warehouse vs OpenText Analytics Database (Vertica)

Compared 4% of the time

SAP IQ vs OpenText Analytics Database (Vertica)

Compared 4% of the time

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Compared 15% of the time

Tableau Enterprise vs SAP Business Data Cloud

Compared 3% of the time

Microsoft Power BI vs SAP Business Data Cloud

Compared 3% of the time

Databricks vs SAP Business Data Cloud

Compared 3% of the time

Oracle Analytics Cloud vs SAP Business Data Cloud

Compared 2% of the time

More SAP Business Data Cloud Competitors

Product Reports

OpenText Analytics Database (Vertica)

October 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Download SAP Business Data Cloud product report

SAP Business Data Cloud

September 2026

Also Known As

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

SAP Analytics Cloud, SAP Digital Boardroom, SAP Analytics Hub

Overview

OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.

OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.

What features define OpenText Analytics Database Vertica?

Fast Data Loading: Quickly ingests large data volumes.
Columnar Storage: Optimizes storage efficiency and speed.
OLAP Support: Provides robust analytics capabilities.
Advanced Compression: Enhances storage efficiency and performance.
Parallel Data Ingestion: Enables faster data processing.
Fault Tolerance: Ensures high availability and reliability.

What benefits should users expect?

Cost Efficiency: Low cost per TB is advantageous.
Scalability: Accommodates growing data needs seamlessly.
Integration Flexibility: Works well with BI tools like Tableau.
Real-Time Reporting: Delivers immediate insights for decision-making.

OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.

OpenText

SAP Business Data Cloud (SAP BDC) is a unified, intelligent data platform — part of the SAP Business AI Platform — that governs SAP and third-party data through a business data fabric. As an evolution of our industry-leading data, analytics and planning solutions, Business Data Cloud brings together Datasphere, Analytics Cloud, and Business Warehouse with a unified experience that delivers transformational insights across all lines of business. By harmonizing mission-critical data with the business processes and logic that give it meaning, SAP BDC delivers a trusted foundation for analytics and AI, empowering data teams and business leaders to make faster, more confident decisions.

What are the most important features of SAP Business Data Cloud?

Unified Data Connectivity: Native integration with SAP applications and third-party sources, eliminating data silos
Business-ready data products: Fully managed SAP data products across all business processes, providing immediate access to high-quality, trusted data
Semantic Data Modeling: A business semantic layer ensures data is translated into consistent, business context across the enterprise
End-to-End Data Governance: Built-in lineage tracking, data quality management, access controls, and compliance support
AI-Assisted Analytics and Planning: Go from insights to action instantly with planning and analytics together in one solution
Open Data Architecture: Enable secure and seamless, zero-copy sharing of semantically rich SAP data into existing data platform environments

What benefits or ROI should users look for in SAP Business Data Cloud?

Accelerated Time to Insight: Less time cleaning and validating data means more time analyzing and acting
Reduced Data Management Costs: One platform replaces multiple point solutions, lowering licensing and IT overhead
Improved Data Trust and Quality: Embedded governance reduces the risk of decisions made on inaccurate or inconsistent data
Faster Compliance and Auditability: Built-in lineage and access controls streamline regulatory reporting and audit preparation
Enhanced Business Agility: Real-time data and self-service analytics help teams respond quickly without relying on IT
Maximized SAP Investment Value: Makes existing SAP transactional data fully accessible and analytics-ready
AI Readiness: A clean, governed data foundation accelerates confident AI and ML adoption across the business

SAP Business Data Cloud is a key component of SAP's vision for the autonomous enterprise. By unifying data connectivity, governance, semantic modeling, and analytics in a single cloud-native platform, SAP BDC eliminates fragmentation and complexity — serving as the connective tissue that ties your entire enterprise together and positioning organizations for long-term success in an AI-driven world.

SAP

Sample Customers

Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.

Ericsson, Vodafone, Google, Team Liquid, Ryder Cup, Accenture