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Esgyn

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Esgyn Corporation, the developer of EsgynDB, is based in the United States and China. The company was founded by ex-HP staff that had worked on successive generations of that company’s database technology, starting with Tandem NonStop SQL, via HP’s enterprise data warehouses, to EsgynDB, which represents the 4th generation of development, and which is a SQL on Hadoop engine focused on supporting hybrid environments where you want to combine transactional and analytic processing with mixed workloads and multi-structured datasets, though it can and does support either of these as independent requirements. It is a commercial implementation of the Apache Trafodion database, to which Esgyn is the prime contributor.

The product is available both in the cloud (and as a part of Esgyn Strato, which is a cloud-based platform offering available as a managed service) and on premises. It is also, in conjunction with Supermicro, available as an appliance. EsgynDB has been deployed in a variety of areas, including Internet of Things (IoT), Banking and Insurance, Telecom, Manufacturing, Internet Security and Smart Cities. Existing clients include a major US bank, China Telecom, China Mobile, Foxconn and Webroot, amongst others.

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Company Info

Headquarters: 691 South Milpitas Boulevard, Suite 117, Milpitas, CA 95035
Telephone: +1 408 800 6916

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Research

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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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EsgynDB

EsgynDB is a massively parallel processing SQL-based database that typically leverages Trafodion tables, but which also supports Hive, HBase, Parquet, ORC and Avro formats.
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EsgynDB and HTAP

This paper discusses the sorts of features needed to support HTAP processing and then considers the capabilities of EsgynDB within this context.
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SQL Engines on Hadoop

There are many SQL on Hadoop engines, but they are suited to different use cases: this report considers which engines are best for which sets of requirements.
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