Connecting sources, trusting data, and delivering business insights with ease to maximize value using AI.
Streamline your data journey, with advanced AI for enhanced productivity and accelerate decision making with real-time insights.
Connecting sources, trusting data, and delivering business insights with ease to maximize value using AI.
Enhance productivity and avoid monotony using powerful GenAI features .
Provides a modular architecture that can be tailored to meet specific business needs and adapt to evolving data strategies.
Facilitates real-time data analytics, allowing for immediate insights and quicker decision-making processes.
Seamlessly integrates with machine learning tools and libraries to build, train, and deploy AI models directly within the data lake environment.
Offers flexibility to deploy across various on-premises and cloud environments, ensuring seamless scalability and interoperability.
Enables rapid data ingestion from multiple sources in real-time or batch modes, ensuring timely availability of data for analysis.
Ensures data privacy and compliance through advanced security features, including encryption, access controls, and comprehensive data governance policies.
Incorporates data cleansing and validation processes to maintain high data quality standards across the organization.
Offers virtually unlimited storage capacity to handle vast amounts of structured and unstructured data as your business grows.
5 steps to AI journey
This layer provides an end-to-end data engineering solution, allowing data engineers to connect to any type of data source, such as SQL, NoSQL, IoT devices, APIs, streaming data, etc. while also supporting structured, semi-structured, and unstructured data.
This layer offers declarative ETL pipelines for both stream and batch ingestion, as well as visible end-to-end pipeline tracking for health performance quality.
This layer enables industry-first polyglot storage, allowing clients to choose storage based on their use-cases.
This layer serves as a unified gateway, exposing and aggregating data from polyglot storage. It also incorporates an MPP (Massively Parallel Processing) distributed query engine which can be used with SQL queries
This layer provides a simple and single console for monitoring and managing all DigiXT modules.
Our AI implementation methodology streamlines your AI journey.