IBM

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12,823 reviews
  • 346 profiles
  • 362 categories
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4.3
#1 in 17 categories
Grid® leader
Serving customers since
1911

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IBM Confluent Platform for Z and LinuxONE

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IBM Confluent Platform for Z and LinuxONE is an enterprise event streaming platform designed to run on Linux on IBM Z and LinuxONE environments. It enables organizations to create, manage, and process real-time data streams using Apache Kafka-based technologies. The platform provides capabilities for event ingestion, data integration, stream processing, schema management, connectors, and operational management. It supports deployment models including virtual machines, containers, and Kubernetes environments on Linux on IBM Z. The solution is intended for organizations that need to process continuous streams of data, connect applications and systems, and develop event-driven applications within IBM Z and hybrid cloud environments.

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IBM SQL Data Insights Pro

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IBM SQL Data Insights Pro is an AI-powered analytics capability for Db2 for z/OS on IBM Z and LinuxONE environments. It enables users to analyze structured and unstructured data using AI-based semantic queries directly within Db2. The solution provides capabilities for semantic search, similarity discovery, anomaly detection, clustering, and pattern analysis by creating AI models from existing Db2 data. SQL Data Insights Pro operates within the Db2 environment and supports AI-driven insights without requiring data movement to external analytics platforms. It includes a runtime model training engine, data and query engine, and user interfaces including web UI, REST API, and command-line interface for managing AI objects, models, and queries. The solution is intended for data analysts, developers, and database teams working with mission-critical Db2 for z/OS data.

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IBM Z Database Assistant

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IBM Z Database Assistant is an AI-enabled database administration solution designed for Db2 for z/OS and IMS environments. It provides a unified workspace for database administrators to monitor system health, analyze performance, troubleshoot issues, and optimize database operations. The solution includes AI-assisted capabilities for SQL tuning, anomaly detection, workload analysis, diagnostics, and guided recommendations. It provides visibility into database objects, system resources, SQL performance, access patterns, and operational conditions through dashboards and assistant-driven workflows. IBM Z Database Assistant supports natural language interaction, integrated SQL tools, and AI-based recommendations that assist administrators in resolving issues and managing database environments while maintaining human review and control over operational actions.

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IBM Data Gate

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IBM Data Gate is a data synchronization solution designed to make IBM Z data available to cloud, analytics, and AI environments. It synchronizes data from IBM Db2 for z/OS and other IBM Z data sources, including IMS and VSAM data sets, to supported cloud and data platforms. The solution uses an integrated synchronization protocol to capture and propagate data changes while maintaining transactional consistency between IBM Z source systems and target environments. IBM Data Gate supports hybrid cloud architectures by enabling access to IBM Z transactional data for analytics, AI workloads, and modern applications without requiring direct access to production transaction systems. It is intended for organizations that need to integrate enterprise IBM Z data with distributed data platforms and cloud-based workloads.

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IBM Data Virtualization Manager for z/OS

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IBM Data Virtualization Manager for z/OS is a data virtualization solution that provides virtual, integrated views of data residing on IBM Z systems. It enables applications and users to read and write data in place without moving, replicating, or transforming the underlying data. The software supports access to both relational and traditional non-relational data sources, including Db2 for z/OS, IMS, VSAM, Adabas, and other enterprise data sources. It exposes data through industry-standard interfaces such as SQL, JDBC, ODBC, REST APIs, and Presto, allowing existing and modern applications to access IBM Z data in real time. Data Virtualization Manager for z/OS supports hybrid cloud, analytics, AI, and data fabric initiatives by providing a unified access layer while maintaining data in its original location. It is intended for organizations that need real-time integration and access to IBM Z data across enterprise environments.

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Databand

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IBM Cloud Virtual Server for VPC

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IBM Security Verify Identity

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IBM Watson Knowledge Studio

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IBM Reviews

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Star Rating
7391
4430
763
146
91
Jaime F.
JF
Jaime F.
Systems EngineerTelecommunicationsMid-Market (51-1000 emp.)
10/30/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review
Translated Using AI

Interactive dashboards that speed up analysis, with an interface that could be improved

I like that IBM Cognos Analytics lets me connect different data sources, create reports, and visualize information in interactive dashboards. I can filter the information, explore different metrics, and see how the results change without generating a new report each time. I also find it useful for centralizing and analyzing large volumes of information, identifying trends or inconsistencies, and presenting the results clearly and visually.
Ashish P.
AP
Ashish P.
Small-Business (50 or fewer emp.)
10/29/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Easy Sales Insights, variety of helpful function

I use IBM Cognos Analytics to analyze business data, including market mood, plan deals, and track sales. I like that it has a huge number of functions for my business and is simple and easy to use. Giving it a simple command makes collecting and arranging data easier for me. I can calculate previous years’ data and arrange it with current market affairs, analyze daily and monthly sales, and create reports showing which products sell the most. The graph dashboard makes it easy for me to make decisions. I’m now perfectly comfortable with it, and I’d recommend it with a rating of 9.
Gaurave C.
GC
Gaurave C.
Small-Business (50 or fewer emp.)
10/29/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Powerful Enterprise Reporting, with a Steep Learning Curve

I like IBM Cognos Analytics for its data governance and reporting automation. The centralized semantic layer keeps business logic in one place, so everyone can work from the same certified figures instead of getting conflicting numbers. I also value report bursting, which automatically slices and securely distributes personalized reports to stakeholders, and the pixel-perfect formatting for financial, regulatory, and compliance documents. Its granular security and AI Assistant are useful too: the Assistant can suggest visualizations, flag anomalies, and help non-technical users build preliminary dashboards using plain language.

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Armonk, New York, United States

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What is IBM?

Specialties: Systems services

Details

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