| Company | Deep Information Sciences |
| Address | 10 Vaughan Mall Portsmouth, NH 03801, USA |
| Founders | Kurt Dobbins, Phil Bedard & Jason Jeffords |
| Founded | 2010 |
| Funding | $ 10 million |
| Employees | 10 |
| Website | www.Deep.is |
| Rating | 5 bits |
Deep has developed a new general-purpose database that is especially engineered for big data and the cloud. It is called DeepDB and is capable of handling transactions and analytics in real-time in the same data set. The database is developed to run in the cloud (although on premises is also possible) and provides an always-on service. In addition, DeepDB created with the 3Vs of big data (Volume, Velocity and Variety) in mind; it minimizes disk I/O, it maximizes the cache effectiveness and optimizes CPU and Core concurrency.
The DeepDB supports storing structured and unstructured data and it is built using Java, Python, Ruby and C++. The company was built as lean as possible and they relied on an evergreen funding model. In April of 2013 they raised a $ 10 million funding from investors Robert Davoli, Stage1 Ventures, Cabletron Co-Founder Robert Levine, Chamberlain & Steward and Alessandro Piol and a group of angel investors.
DeepDB has been created to support data-driven decision making at executive levels within organisations. At those levels, speed and accuracy are very important and exactly that is one of the strong points of DeepDB. Although Deep is not the only company that offers real-time transactional and analytics capabilities, a strong competitor for example is SAP HANA, it is extremely fast. In one particular case study, Deep was able to process 1.72 million transactions per second. In comparison, SAP HANA has an insertion rate of 770.000 records per second.
The objective of DeepDB is to bring speed, simplicity and scale to organisations. Their value proposition is to reduce capital and operational costs for their customers, decrease deployment times and speed up migration to the cloud. However, at the moment, Deep only has two customers. With the fast growing big data market and new players arising every day, this could be a problem for the future.
Deep will need to be able to show a sustainable growth and convince the market that they are the best solution in the big data transactions and analytics market. On the other hand, with the worldwide demand for big data technologies growing to an annual $ 24 billion in 2016 (IDC), they have a good chance to prove their technology. Therefore, they receive a 5 bits rating for their new general-purpose database.
