| Developers: | 3iTech (earlier 3i Technologies) |
| Date of the premiere of the system: | 2020/09/25 |
| Technology: | Big Data, Data Mining |
Main article:
2020: Announcement 3i DPP
On September 25, 2020 company 3iTech reported that it created the Russian platform of processing of Big Data – 3i Data Processing Platform (3i DPP). 3i DPP will allow the domestic companies and the organizations to work with unstructured data, without transferring the sensitive information containing a trade secret in public clouds.
According to the company, platform 3i DPP is the solution of the class Enterprise which meets industry standards on fault tolerance, performance and security of the processed data. The platform allows to manage collecting, processing and storage of Big Data using technology of parallel computing clusters. Supports two operation modes with data – stream (stream) and package (batch). Has the built-in service of enrichment yielded and mechanisms for preserving of intermediate results of "expensive" processing. The platform dynamically consumes computing resources. 3i DPP is easily scaled. Processing speed of input data is close to real-time scale.
The platform can be applied to work with diverse information, including, text, video and audio. The solution is integrated with external sources data, with corporate systems of the customer, with different DBMS (PostgreSQL Microsoft SQL Server Oracle etc.), NoSQL(Apache Cassandra, ScyllaDB MongoDB), management systems for queues and brokers (Apache Kafka Apache ActiveMQ, RabbitMQ, etc.).
3iDPP it is offered to third-party developers and integrators for creation of own solutions. And, the platform can be added, modules of analytical text and speech processing and also other functionality created by company 3iTech based on AI, ML technologies. Development of company 3iTech was already registered by the register of domestic software and can be applied in state companies and the organizations. Besides, the platform confirmed the characteristics in the protected operating environments.
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