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GigaOM ResearchSector RoadMapTM highlightsSQL-on-Hadoop Platformsin 2013by GigaOM Research analyst Joseph Turian, Ph.D.

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Executive Summary• The most successful companies will be the ones that can capture and analyze all data available to them to improve business decision-making. However, the sheer amount of data any given company can produce has become nearly unmanageable.• Hadoop promised to alleviate this problem, and to some degree, it has. Many companies have found it easy to get data into Hadoop but hard to get data out and in a useful form.• This knowledge gap has prompted a number of vendors to offer SQL-on- Hadoop solutions, which increase the accessibility of Hadoop and allow organizations to reuse their investment learning in SQL.

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Disruption vectorsThis report examines four competitive areas — what we call disruptionvectors — in which vendors will strive to gain an advantage in the SQL-on-Hadoop marketplace in the next 18-24 months, including: • Read performance for interactive analytics • Mind share • Flexibility and compatibility • Operational Hadoop (sometimes referred to as “one database to rule them all”)

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Sector RoadMap• Number indicates company’s relative strength across all vectors• Size of ball indicates company’s relative strength along individual vector

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Key highlights• Cloudera will ultimately lead the SQL-on-Hadoop market. Its open-source solution, Impala, has strong mind share and emphasis on flexibility.• Close followers are closed-source vendors that are building off mature technology underpinnings, including Hadapt, EMC, Teradata, and Citus Data.• The underdogs, JethroData and Splice Machine, are little-known closed- source vendors that are writing everything from scratch and are betting on unconventional technological decisions.• Looming in the wings are Apache Foundation projects Drill and Stinger. These SQL-on-Hadoop projects are native to the Hadoop ecosystem. They are the least mature, but have solid momentum.

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Conclusion and outlookIn the next 18-24 months:• NewSQL databases will mature and attract users away from Hadoop.• NewSQL will be used for big data that has strong structure, while SQL-on-Hadoop solutions will be used for semi-structured data.

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