Informatica - Further Information

Informatica continues to build on its data quality offering with additional AI features.

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

Informatica Data Catalog is the data governance offering of Informatica.

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

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

This report describes the sensitive data discovery space and evaluates the vendors and solutions therein.

This report discusses Informatica Data Privacy Management and its application as a solution for discovering sensitive data.

In this paper, we discuss and compare a selection of prominent data integration solutions, namely those provided by Fivetran, Gathr, Informatica and Matillion.

This paper describes and evaluates Informatica’s solution for data integration.

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.

This report describes and evaluates the Stream Processing space and the market trends and vendor solutions within it.

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

Informatica offers stream processing as part of Intelligent Data Management Cloud (IDMC), a broad, cloud-ready, and well-integrated data management platform.

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

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

Informatica Test Data Management is a comprehensive test data management solution that includes data subsetting, data masking, and synthetic data generation.

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

The Intelligent Data Platform encompasses data integration, quality, governance, MDM, cataloguing, privacy, application integration, and more.

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

Informatica Axon Data Governance provides browser-based, business level access to a variety of enterprise grade data governance capabilities.

This Market Update discusses, reviews and compares products specialising in the discovery of sensitive data.

Informatica Data Privacy Management is a datacentric privacy, governance and security solution that is focused on discovering and classifying sensitive data.

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

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

This paper discusses and evaluates Informatica Test Data Management.

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

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

Informatica Axon Data Governance is a data governance product that supports data stewardship, data quality and data monitoring.

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

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

This paper compares the offerings provided by DATUM, Collibra and Informatica with respect to policy-driven data governance.

In this paper, we discuss Informatica's Intelligent Data Platform and, in particular, its data governance capabilities.

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

This paper discusses why data lakes need to be managed and the sorts of capabilities that are required to manage them.

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

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

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

Stories are becoming broader and that doesn't necessarily make life easier

I am going to be having a live discussion about getting value from data integration tools: come and listen!

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

Data masking, although it has been around for a number of years, is now recognised as being increasingly important.

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

There are several distinct market sectors within data migration. For example, there are specific application migrations to, for example, the latest version of SAP.

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

We have been commissioned by Grid-Tools to compare its Datamaker test data management offering with that of the equivalent product from Informatica.

This document provides a snapshot of the current state of the Master Data Management (MDM) market.

Some latest news from vendors in the Hadoop and/or big data space

In this paper we will review what Bloor Research has learned over the past six years, since we first published our original Data Migration Survey in 2007.

This document provides a snapshot of the current state of the Master Data Management (MDM) market.

While real-time analytics is becoming more and more urgent for many organisations the ability to accomplish this can easily be constrained by the volume of data that needs to be analysed.

This paper is is about data exchange and the ability to share information.

The C in CEP may stand for "complex" but CEP itself is not complex