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Welcome to Bloor

Bloor is an independent research and analyst house focused on the idea that Evolution is Essential to business success and ultimately survival. For nearly 30 years we have enabled businesses to understand the potential offered by technology and choose the optimal solutions for their needs.

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Now you can have lower costs and higher availability in Edge deploymen...

Edge computing will demand cost effective, small-footprint, agile, resilient systems that can be run in “dark” micro-datacentres.
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Towards effective digital experience management

Research into vendor capabilities in AIOps and Hybrid Infrastructure Management has revealed interesting insights in to what differentiates various solutions.
The Cloud

Secure Cloud Platforms and Business Continuity

A secure cloud platform may make sense – but only in the context of holistic business continuity. Bloor's David Norfolk explores in his new blog.
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Bloor TV

Bloor TV brings analyst insights and reports to life in a new, easily consumable way with a range of live stream and video programmes.

Latest Updates

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DataRobot

This paper discusses DataRobot, an automated machine learning platform targeted at the enterprise.
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API integration, the right data at the right time - Unlocking valuable data with APIs

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.
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Monitoring and managing the performance of complex hybrid IT infrastructure environments

To monitor and react to performance issues in near real-time and be aware of what parts are being used by individual apps are critical business requirements.
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GDPR Compliance

GDPR is now a reality and sanctions are starting to bite. What should organisations be doing?
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Data Quality

This document provides a snapshot of the current state of the Data Quality market.
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Database technology for the 2020s

Multi-model databases are becoming increasingly popular. This paper discusses these in general, and Redis in particular.
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Hybrid real-time data processing

There are multiple ways in which databases that support real-time operational/transactional and analytic processing may be implemented. This report compares representative samples of each.
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VoltDB

VoltDB uses a shared-nothing architecture to achieve database parallelism, with both data and processing distributed across all the CPU cores within the servers composing a VoltDB cluster.
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TigerGraph

TigerGraph is a native graph parallel database that is available both in on-premises and cloud versions.
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Redis Enterprise

Redis is an in-memory, multi-model database platform.
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NuoDB

NuoDB looks relational and leverages SQL but isn’t relational under the covers.
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Neo4j

Neo4j, is a labelled, property graph database with a native engine that is targeted at operational and hybrid operational/transactional and analytic use cases.
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