IBM - Further Information

This paper discusses the trends in the data governance market, including assessing the leading vendors.

IBM launches a new data product hub tool, aimed at supporting the lifecycle of data as products and encouraging the sharing of trusted data in an enterprise.

Bloor’s analysis of the Data Fabric market, assessing the leading vendors and showing you who the innovators, challengers and champions are.

This report summarises the state of the test data management space in 2024, as well as the vendors contained therein.

The Bloor data governance market update covers trends in the market and assesses the innovators, challengers and champion vendors.

Bloor publishes its annual assessment of the master data management market.

Generative AI has many use cases across industries as well as some limitations.

IBM Cloud is now a major element of the overall IBM operation, with a strong focus on providing cloud operations and services for major enterprises and organisations.

Bloor has published its Market Update for Data Quality 2023, covering the main trends in the market and assessing the key vendors.

This Bloor Market Update report is an overview of the current data warehouse database market, assessing the leading vendors.

The future of DevOps is a vital business concern. A current issue is transforming DevOps agility into real Business agility.

This market update is an overview of the Master Data Management (MDM) market in 2022, covering leading vendors, market dynamics and current trends.

Market Update of the Data Quality Enterprise Software Market in 2022, including data profiling, merge matching, data enrichment, data cleansing, monitoring.

The data warehouse market has been around for over three decades, but has undergone some rapid change in the last few years.

Interest in cost-effectively modernising and exploiting Enterprise Server 3.0, with AI assistance, is increasing.

Streaming analytics extracts actionable insights from streaming data in real-time. This report discusses the streaming analytics space and its solutions.

Business-oriented modernisation of ES-3 (eg IBM Websphere mainframe) applications as microservices using AI tools such as Mono2Micro.

This report summarises the current state of the master data management (MDM) market at a high level, assessing the leading vendors in the space.

Enterprise Server 3.0 (or Mainframe) modernisation is relevant, cost-effective and avoids waste. David Norfolk investigates.

Test data management is an essential part of the testing process. This report discusses the space as a whole and evaluates the solutions therein.

In this research paper, Paul Bevan outlines the competitive Hybrid IT Infrastructure Management Market vendor landscape.

This (Cloud) Data Management report compares platform-based approaches that support data integration to/from cloud-based deployments.

IBM Cloud Pak for Data places particular emphasis on deploying, developing and managing AI and machine learning models.

This MDR services update provides insight into how various leading vendors in this market are positioned and discusses the trends being seen.

This Market Report segments vendors within the still emerging managed detection and response (MDR) services market.

Data governance, as a space, has matured significantly over the past few years. This Market Update examines and competitively evaluates the vendors therein.

IBM Watson Knowledge Catalog, itself part of IBM Cloud Pak for Data, is a data catalogue and data governance solution.

This is a comparative analysis of products/vendors within the data warehouse and analytics platform space.

IBM Db2 Event Store is an in-memory database built on top of Apache Spark, intended to support both near real-time and deep analytics on historic data.

This remote working paper is aimed at managers and team members of the effective, resilient, teams needed to manage business continuity in the “new normal”.

This report is about assuring the quality and provenance of your data from both internal and external perspectives.

Time-series databases represent the fastest growing database sector over the last two years.

IBM Informix is an object-relational database with native support for both time-series and geospatial data.

AnalyticOps is about the reduction of friction around the delivery, operationalisation and ongoing monitoring and (change) management of analytic models.

IBM Watson OpenScale is a platform that is specifically targeted at operationalising AI (augmented intelligence) models.

This report spotlights the evolution of APIs from EDI to EAI to the API Economy. Companies can add value by opening up their data in a controlled, secure way.

This document provides a snapshot of the current state of the Data Quality market.

Limited, or no, technological capability with respect to AI is holding many companies back. This paper discusses how IBM Cloud Pak for Data can help.

This paper discusses and evaluates IBM’s test data management offering.

This Market Update discusses the test data management space and evaluates and compares the products therein.

IBM blockchain as a service development platform & sandbox for enterprise trusted ledger solutions, reducing fraud, removing duplication, saving time and cost.

Predictive analytics refers to the ability to predict events before they occur, allowing you to take remedial action in advance. Prescriptive analytics extends this concept by either suggesting the actions you should take or automating those actions.

The 4th Edition of our research into the uses and costs of data integration tools.

How does ML/AI work, who are the vendors and why you should care?

This report discusses the service virtualisation space and evaluates the products therein.

This paper discusses and evaluates Rational Test Virtualization Server, IBM’s service virtualisation offering.

This Market Update considers both stream processing platforms upon which you might build analytics as well as streaming analytics platforms per se.

IBM Streams (previously IBM InfoSphere Streams) is a high performance, low latency platform for analysing and scoring data in real-time. It is a part of the IBM Watson & Cloud Platforms.

This paper aims to help you sleep well at night (SWAN) and discusses: ease of administration; continuous availability and scalability; and smart triggers.

This paper compares the capabilities of IBM, Informatica and MENTIS for the discovery and governance of sensitive data.

The UK government has little option but to rethink the way it operates by moving beyond digital transformation to digital reinvention.

There are many SQL on Hadoop engines, but they are suited to different use cases: this report considers which engines are best for which sets of requirements.

This Market Update compares the capabilities of various data governance vendors.

The first question we address in this paper is what do we really mean when we talk about the hybrid cloud?

This Market Update compares the capabilities of different data masking vendors that provide anonymisation capabilities.

This Market Update compares TDM (Test Data Management) products.

This paper discusses the use of the IBM Informix database in the cloud and, more particularly, within hybrid cloud environments.

This Market Update discusses the latest trends in this market, along with our assessment of the leading vendors in the market.

This Market Report discusses the latest trends in this market, along with a detailed assessment of the leading vendors in the market

Streaming analytics enables businesses to respond appropriately and in real-time to context-aware insights delivered from fast data.

This paper considers the different ways in which databases may be needed to be deployed within Internet of Things (IoT) environments.

This paper discusses the IBM Informix database and its suitability for deployment within Internet of Things (IoT) environments.

There have been significant changes in this market over the last twelve months.

Discussing the Open Data Platform and Apache Spark

IBM is in the vanguard for what it calls an enhanced 360° view and it is clearly well positioned to capitalise on the future growth of this market.

If you don't know what you have, where it is and how it is configured, how can you trust any of its outcomes?

There has been some significant criticism of the concept of big data recently, notably in the Harvard Business Review criticising the Google Flu Trends...

We consider the relative merits of IBM DB2 with BLU Acceleration running on Power Systems as compared to HANA, Exadata and SQL Server on x86-based platforms.

Advanced targeted threats are today's reality for organisations and traditional technology controls are not up to the task of defending networks.

The graph database and graph analytics market is increasingly complex and diverse

While there are trends towards including more discovery capability and towards supporting NoSQL the vendors are significantly fragmented at present.

The market for data governance is diffuse. Historically, there have been, and remain, several different sectors...

By data quality we mean both data cleansing (matching, deduplication, error correction, enrichment et al) as well as data profiling and discovery.

DB2 BLU doesn't just in-memory techniques but also L3 cache

A new z mainframe arrives - and I wonder why it still seems to be a specialist choice for many companies

Requirements management has been around for a long time as a systems engineering discipline, but it's suddenly getting interesting again.

Preventative maintenance and asset optimisation are not the same thing

There's been some confusion about how exactly DB2 is supporting JSON: here's the lowdown

The basic theme of this paper is to provide a comprehensive comparison of IBM's and Oracle's offerings for large-scale traditional data warehousing environments.

This document represents a snapshot of the current state of the service virtualisation market.

Since I last did a review of the market for BPMS it has been interesting to note that many of my predictions for what would happen have mostly come true.

Test Data Management (TDM) is about the provisioning of data for non-production environments.

IBM’s data integration products provide three methods for delivering data: ETL (extract, transform and load), which provides bulk (batch) data loading functionality; data federation, which supports virtual data delivery; and data replication, which allows incremental updates. The use of ETL…

Mainframe systems are important and the latest mainframes are innovative and powerful tools. This places a premium on knowledge transfer and training.

Identity Insight from IBM is not a data quality product

The basic theme of this paper is to provide a comprehensive comparison of IBM and Oracle's offerings for data warehousing and OLTP.

The idea of an Information Strategy will be critical to your business success and the key to sustaining your competitive advantage over time.

A couple of months ago I reported on the announcement of IBM InfoSphere Streams as the company's high end (complex) event processing platform. I also described IBM's approach to event processing...

Princeton Softech was founded in 1989. It specialises in delivering data and program synchronisation solutions to IS professionals who develop and maintain critical business applications. Its software is historically IBM mainframe based although, more recently, its products are currently being…