It streamlines data management, reduces installation time, and allows you to manage all processes on one platform, from data integration to utilisation. It is both engineering and end-user low-code/no-code solutions without any coding knowledge requirements.
Say goodbye to big data single-server expansions. The platform works on a new-gen decoupling compute & storage architecture powered by Blendata’s proprietary Distribute In-Memory Twin Processors. It developed from Apache Spark with a processing speed of 1.5 times higher.
Multi-interface connections whether structured, semi-structured, and unstructured (text-based), or from cloud storage sites such as Amazon S3, Azure Blob, or on-premise environments such as flat files (CSV, JSON, text), logs, Kafka, HDFS, or enterprise databases (Oracle, MS SQL Server, MongoDB, etc.) through dynamic data ingestion.
Being an open design platform from the beginning, organisations may enjoy data usage or platform functions through an API that supports REST API, ODBC/JDBC, or direct data access through open format files. Moreover, all connections, in-transit, and at-rest data are protected against unauthorised access by SSL/TLS standard, columnar, and in-transit encryptions, OAuth 2.0 user/role-based access control authentication and authorisation.