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Clients trust us across their GTMs—from strategy and product development to competitive insights and content creation—because we deliver high-quality, actionable support.
Browse our extensive library of research reports, research-based content, and blogs for actionable data and expert analysis of the latest B2B technology trends, market dynamics, and business opportunities.
With Google Next 2019 coming up, there are a few items I’m looking forward to hearing about.
First and foremost, I’m excited to hear from the new GCP CEO Thomas Kurian and what his vision and plans are for the organization over the next 12-18 months. I think many in the industry understand some of the steps Google needs to make to become the cloud powerhouse it desires to be, with arguably the largest being a greater focus on hybrid cloud enablement. I think we caught a glimpse of that with the Alooma acquisition. I’m hoping to hear more about the plans for Alooma, where/how it will be integrated and some roadmap details on deeper integrations across GCP services. (more…)
I spend a lot of time in the enterprise space but there’s quite a bit going on in the SMB and the mid-market too, which are the hunting grounds of Unitrends. I recently talked to Joe Noonan about Unitrends’ strategy and focus. You can see this data protection conversation here.
This week, Unitrends, now a Kaseya company, launched an interesting new appliance that will help SMBs, mid-sized organizations, and MSPs with their data protection mandates. One of the challenges in many smaller organizations, or decentralized offices, is having local infrastructure for quick data/application recovery. (more…)
ESG’s Master Survey Results provide the complete output of syndicated research surveys in graphical format. In addition to the data, these documents provide background information on the survey, including respondent profiles at an individual and organizational level. It is important to note that these documents do notcontain analysis of the data.
This Master Survey Results presentation focuses on state of the artificial intelligence (AI) market with an IT and a data-centric lens to uncover drivers, challenges, budgets, and personas across the AI data pipeline.
Enterprise data warehouses (EDWs) are often deemed the most valuable asset in the data center, serving as the backbone of the business. The ongoing insight gained from these solutions has justified the significant up-front capital investments and ongoing operational costs, but the rigidity of the traditional EDW is forcing organizations to reevaluate their approach to analytics and business intelligence.
While legacy EDW solutions were all about throwing as much computational power as possible at a relatively static data set, with the inflow of new and valuable sources of data and the emergence of all-encompassing analytics initiatives, the success of today’s EDW solutions depends more on operational and resource agility than raw horsepower. Being able to dynamically adjust to the needs of the business, integrate into operational processes, and quickly react to emerging opportunities can place an organization at a distinct competitive advantage. Today’s EDW solutions must act as a global repository of information, provide the agility to scale up or down on demand, and seamlessly integrate with other analytics tools and services used throughout a data-driven organization.
Over the last two years, Enterprise Strategy Group has conducted detailed studies quantifying the economic value of Google data analytics services. The first evaluated Google BigQuery compared to on-premises Hadoop and AWS redshift. The second focused on Google DataProc compared to DIY Spark and Hadoop approaches. I’m happy to share the next iteration of our economic analysis, extending the BigQuery study to incorporate a comparison to legacy enterprise data warehouses, both on-premises and in the cloud.
Through publicly available pricing and in-depth qualitative customer interviews, ESG was able to assert a base set of assumptions that power a dynamic model, incorporating up-front capital investments, deployment and migration costs, expected monthly cloud costs, administrative costs, and operational costs associated with legacy on-premises EDWs, cloud-based EDWs, and Google BigQuery.
The crux of the results show organizations can save up to 52% by using BigQuery over on-premises EDWs and up to 41% over cloud-based EDWs. Unlike legacy on-premises EDWs, BigQuery provides organizations with the key abilities that are essential to delivering a modern EDW solution, most notably the ability to integrate across other Google Cloud Platform services, including its market leading AI-based solutions and services. Although we did not call it out directly in the published report, ESG’s models indicate that the savings achieved by migrating an on-premises EDW solution to Google BigQuery may actually be more cost effective than simply continuing to operate an existing on-premises EDW solution. Stay tuned for more as we continue to expand our analysis throughout the year!
In this edition of Data Protection Conversations, I speak with Justin Augat, VP of Product Management and Product Marketing of iland.
iland is a global cloud service provider of secure and compliant hosting for infrastructure (IaaS), disaster recovery (DRaaS), and backup as a service (BaaS) and delivers cloud services from its data centers throughout the Americas, Europe, Asia, and Australia. (more…)
In this edition of Data Protection Conversations, I speak with Joe Noonan, VP of Product Marketing and Product Management at Unitrends.
Unitrends recently joined the Kaseya family of IT solutions and delivers high-availability hardware and software to natively provide all-in-one enterprise backup and continuity. (more…)
This Master Survey Results presentation focuses on 2019 IT budget expectations, technology initiatives and priorities, year-over-year spending change (overall and by technology), hiring/staffing challenges, and cloud adoption/usage trends.
I had the opportunity to connect with Sam Werner recently in San Francisco at IBM’s THINK 2019 event for a new data protection conversation. Check out the video to learn more about IBM’s data protection directions.
In its most recent announcement, Cohesity introduced new capabilities that will help its customers go beyond just backup or data consolidation, crossing what I call the “Data Management” chasm.
The fundamental issue with data is that there’s just too much of it, making it expensive to store, manage and truly leverage. At the same time, from a business perspective, data (within compliance reason) should be your friend, not your enemy. (more…)
In order to assess technology spending priorities over the next 12-18 months, ESG recently surveyed 810 IT and business professionals representing midmarket (100 to 999 employees) and enterprise-class (1,000 employees or more) organizations in North America and Western Europe. All respondents were personally responsible for or familiar with their organizations’ 2018 IT spending as well as their 2019 IT budget and spending plans at either an entire organization level or at a business unit/division/branch level.
The world of data protection is changing rapidly. After many years witnessing these changes as a vendor, and now as an analyst, I have developed a maturity model: the backup data transformation model. This model will help both end-users and vendors evaluate their current position and their journey from data backup to autonomous data intelligence and whether they can cross the data management chasm. Did I get your attention? Please read on.
In our most recent edition of Data Protection Conversations, I spoke with Simon Taylor, CEO of HYCU. HYCU has a very unique profile with many years of expertise in backup and recovery and a unique strategy to address some of the newest challenges in modern data protection and multi-cloud workloads. Don’t miss this edition and stay tuned for our next Data Protection Conversation.
With Google Next 2019 coming up, there are a few items I’m looking forward to hearing about.
I spend a lot of time in the enterprise space but there’s quite a bit going on in the SMB and the mid-market too, which are the hunting grounds of 
Enterprise data warehouses (EDWs) are often deemed the most valuable asset in the data center, serving as the backbone of the business. The ongoing insight gained from these solutions has justified the significant up-front capital investments and ongoing operational costs, but the rigidity of the traditional EDW is forcing organizations to reevaluate their approach to analytics and business intelligence.
In its most recent