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IBM

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12,409 reviews
  • 342 profiles
  • 356 categories
Average star rating
4.3
#1 in 31 categories
Grid® leader
Serving customers since
1911

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IBM watsonx.data

165 reviews

IBM watsonx.data is a hybrid, open data lakehouse platform designed to unify and manage enterprise data across diverse environments—cloud, on-premises, or hybrid—to support AI and analytics workloads. It combines the scalability of data lakes with the performance of data warehouses, offering a centralized solution for organizations aiming to harness their data for AI-driven insights. Key Features and Functionality: - Unified Data Access: Provides a single point of entry to access and manage structured and unstructured data across various environments, including public cloud, private cloud, hybrid cloud, and on-premises. - Built for Generative AI: Integrates and enriches data to improve the accuracy and performance of generative AI applications. - Flexible Deployment: Supports deployment across multiple infrastructures, including cloud platforms like AWS, Azure, IBM Cloud, and on-premises environments, providing flexibility to meet organizational needs. - Cost Optimization: Features a multi-engine architecture that optimizes workloads, potentially reducing data warehouse costs by up to 50% through efficient workload management. - Open Standards Compatibility: Utilizes open data formats like Apache Iceberg and integrates with Hive Metastore, facilitating interoperability with existing data tools and platforms. - Integrated Governance and Security: Offers built-in data governance tools, security features, and automation to ensure data quality, compliance, and secure access. Primary Value and Problem Solved: IBM watsonx.data addresses the challenges of managing and analyzing vast amounts of enterprise data spread across disparate sources and environments. By providing a unified, open, and governed data lakehouse, it enables organizations to: - Enhance AI and Analytics Initiatives: By unifying structured and unstructured data, organizations can improve the accuracy and performance of AI models and analytics applications. - Reduce Operational Costs: Optimizing workloads across various query engines and storage tiers helps in significantly lowering data management expenses. - Ensure Data Compliance and Security: Built-in governance and security features help maintain data integrity, compliance with regulations, and secure data access across the organization. In summary, IBM watsonx.data empowers enterprises to effectively manage their data lifecycle, enabling scalable and cost-effective AI and analytics solutions while ensuring data governance and security.

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IBM API Connect

163 reviews

IBM® API Connect™ is for organizations looking to streamline and accelerate their journey into the API economy. It’s a comprehensive management solution that addresses all four aspects of the API lifecycle: create, run, manage and secure. API Connect is far more cost-effective than limited point solutions that focus on just a few lifecycle phases. It enables external and internal consumers to accelerate an organization’s API program and capture new revenue through compelling new customer experiences.

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IBM WebSphere

159 reviews

IBM WebSphere Hybrid Edition is a comprehensive suite designed to modernize Java applications and infrastructure, facilitating a seamless transition to cloud-native environments. It combines traditional WebSphere Application Server offerings with advanced modernization tools, enabling organizations to optimize their existing Java runtimes, operations, and architectures. This integrated approach supports deployments across on-premises systems and major public clouds, utilizing virtual machines, containers, and Kubernetes. Key Features and Functionality: - Versatile Runtime Options: Includes WebSphere Application Server Network Deployment, WebSphere Application Server Base, and WebSphere Liberty Core, offering flexibility to meet diverse application requirements. - Modernization Tools: Features IBM Cloud Transformation Advisor and Mono2Micro, which assist in assessing and transforming monolithic applications into microservices, streamlining the modernization process. - Cloud-Native Development Support: Provides a lightweight, efficient runtime optimized for containerized and Kubernetes-based deployments, facilitating the development of new cloud-native applications. - Flexible Licensing Model: Offers a ratio-based licensing system, allowing organizations to allocate resources effectively across different runtime environments based on their specific needs. Primary Value and Solutions Provided: IBM WebSphere Hybrid Edition addresses the critical need for digital transformation by enabling organizations to modernize their Java applications and infrastructure efficiently. It reduces technical debt, enhances operational efficiency, and supports the adoption of cloud-native architectures. By offering a unified platform with flexible deployment options and robust modernization tools, it empowers businesses to innovate while maintaining the reliability and security of their existing systems.

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IBM Process Mining

157 reviews

IBM Process Mining enables organizations to identify the business processes that may benefit most from automation by using business system data to create and visualize an end-to-end process to uncover derivations, bottlenecks and inefficiencies that are hidden in business processes.

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IBM SPSS Modeler

148 reviews

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise.

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IBM watsonx.ai

145 reviews

IBM Watsonx.ai is an advanced AI and machine learning platform designed to accelerate enterprise AI adoption, offering a comprehensive suite of tools for businesses to build, deploy, and scale AI applications. The product is part of IBM's broader Watsonx ecosystem, which aims to democratize AI by providing accessible, powerful solutions tailored for organizations of all sizes and industries.

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IBM FileNet Content Manager

139 reviews

Document management with IBM® FileNet® Content Manager helps you meet the growing challenge of managing enterprise content with greater speed, efficiency and accuracy. FileNet Content Manager is a document management engine that combines enterprise content, security and storage features with ready-to-use workflow and process management capabilities.

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IBM Aspera on Cloud

137 reviews

IBM Aspera on Cloud is a hosted service to securely and reliably move your files and data sets of any size and type across a hybrid cloud environment.

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IBM Engineering Requirements Management DOORS Next

136 reviews

IBM Engineering Requirements Management DOORS Next provides a scalable solution to optimize communication, collaboration and verification of requirements. It enables you to capture, trace, analyze and manage changes to requirements while maintaining compliance to regulations and standards. With DOORS you can improve the management of project scope and cost throughout your organization and supply chain. This software is available on premises and in the cloud, which allows you to get up and running quickly so that your team can focus on your organization’s core competency.

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IBM Reviews

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7188
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142
87
Verified User
G
Verified User
07/23/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Enhances Productivity with AI-Powered Assistance

I like IBM Bob for its speed and ease of use. It provides accurate, helpful responses that improve my daily productivity. I use it primarily as an AI assistant to help with day-to-day work, and it is useful for answering technical questions, summarizing documents, drafting emails, generating code snippets, and assisting with research. It helps me quickly find information, automate routine tasks, and analyze information from multiple sources, saving time and enhancing my efficiency. The initial setup was quite straightforward and easy with minimal configuration required, which made it convenient to start using right away.
Chirag S.
CS
Chirag S.
Abinitio | ETL | SQL | Azure | Jenkins | UNIX | @Ex- Accenture
07/23/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Flexible Open Lakehouse with Iceberg Support and Multi-Engine Choice

Its focus is on giving organizations flexibility without forcing them into a single storage format or query engine. A few aspects stand out as particularly compelling. The open data lakehouse architecture is designed to work with open table formats such as Apache Iceberg, which helps reduce vendor lock-in and makes data more portable across different tools and platforms. The separation of storage and compute also matters: you can scale compute resources independently of storage, which can improve cost efficiency for workloads that fluctuate over time. Finally, instead of relying on one query engine, it supports multiple engines optimized for different workloads, letting users choose the best fit for analytics, SQL, or AI use cases.
Verified User in Computer Software
UC
Verified User in Computer Software
07/22/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Bob’s Agentic Workflow Makes Complex Tasks Easy

Bob offers an agentic workflow that can execute complex tasks.

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What is IBM?

Specialties: Systems services

Details

Year Founded
1911
Ownership
SWX:IBM
Website
www.ibm.com