Tony Baer (Ovum)

Contributing Writer

Tony Baer leads Ovum's Big Data research area. Over his 25 years in the industry, he has studied issues of data integration, software and data architecture, middleware, and application development. Having tracked the emergence of BI and data warehousing back in the 1990s, Baer sees similar parallels emerging in the world of Big Data today. His coverage focuses on how Big Data must become a first-class citizen in the data center, IT organization, and the business. Baer has a multi-disciplinary background touching the different tiers of enterprise software. His expertise in data management is complemented by deep background in software development platforms and middleware. Prior to joining Ovum, he was an independent analyst whose company onStrategies delivered market assessments and messaging advisory services to vendor clients. He co-authored some of the earliest books on the Java and .NET frameworks including Understanding the .NET Framework and J2EE Technology in Practice. He has spoken at numerous industry events covering data management, and has been chronicling the industry in his blog for over 15 years. His career began as a journalist with publications including Computerworld, Application Development Trends, Computergram, Software Magazine, Information Week, and Manufacturing Business Technology.

Latest from Tony Baer (Ovum)

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InfluxData charts new path for time series databases

InfluxData charts new path for time series databases

Among the announcements coming from Google NEXT this week, InfluxData and Google Cloud have entered a new partnership to host its time series database. For InfluxDB, one of the most popular open source databases, the move to Google Cloud is occurring just as the company takes another major step – or risk – in transitioning its core platform.

April 10, 2019 by in Big Data Analytics

Where is Confluent going?

Where is Confluent going?

Like MongoDB, Redis, and others, Confluent could become a victim of its own success. With Confluent’s trajectory paralleling that of Databricks, we’ll be very interested to hear what they and Google Cloud announce next week.

April 3, 2019 by in Big Data Analytics

Open Source growing pains: Is Open Core the answer?

Open Source growing pains: Is Open Core the answer?

Last week’s war of words that followed AWS’s announcement of its Open Distro for Elasticsearch marks the latest example of the growing pains for open source companies. While the past year has seen a proliferation of new open source licenses, will the well-worn open core model actually prove the better option for keeping open source companies viable?

March 20, 2019 by in Open Source

For MariaDB, it’s time to put the pieces together

For MariaDB, it’s time to put the pieces together

As it grows beyond its MySQL roots to address a broader variety of enterprise database use cases, MariaDB is transitioning from expanding to consolidating its portfolio. It’s on the first steps toward building a single platform that answers cloud players with a flexible on-premise and multi-cloud native deployment strategy.

February 27, 2019 by in Big Data Analytics

SAS wants to spread its footprint

SAS wants to spread its footprint

Long the domain of elite data miners, SAS wants to engage the rest of the analytics team for the full analytics lifecycle. But then again, so do classic BI, self-service, and data science tool providers. SAS’s opportunity is in transitioning its portfolio to cloud-native and building a third-party ecosystem to make its depth and breadth more accessible.

February 20, 2019 by in Big Data Analytics