Whiteklay's IZAC framework is a real-time data exchange platform that connects to a variety of structured and unstructured data sources, including SQL RDBMS, weblogs, social media, security logs, IoT devices, NoSQL databases (Elastic Search), Hbase, Mongo DB, Druid, and others. Users can define specific connectors for their diverse set of structured, semi-structured, and unstructured data sources. Users can preview data structures at the sources, capture changed data from the sources (insert, delete, update), and publish the data independently. Deletion of data at source does not lead to deletion within IZAC, giving users’ flexibility to explore the data. Furthermore, data deletion can be timed. There is no restriction on the number of data pipelines for data extraction and related statistics are available in real time. Statistics like null counts, min, sum, max, etc. are visible in real time. IZAC supports data sharing with different members of the same organization. IZAC can restrict access to data assets to particular users within the platform.

Our expertise in data engineering ensures that you get seamless service around ETL. Our motive is to evolve the legacy ETL space by using our product framework into a data market place. This would ensure that every stakeholder inside an organisation gets the visibility to securely access data across the company based on roles and profiles. Data extraction is continuous and real-time, and can be viewed and analysed in real-time.

Users can define data transformation workflows in real time and perform transformations using a web-based drag and drop tool, without any complex script. In the Whiteklay Framework, IZAC supports transformations like data preparation, data cleansing, and filtering in real time. Data transformations are independent of source and destination systems since all transformed data is stored within IZAC.

Our expertise in data engineering ensures that you get a seamless service around new age data warehousing. Power real-time analytic workloads for event-driven data, that isn’t a traditional data warehouse. Our solutions incorporate architectural ideas from data warehouses, such as column-oriented storage, incorporating designs from search systems and time series databases. Our solutions are built to handle a wide range of use cases that traditional data warehouses simply cannot.

Users can also perform arbitrary SQL queries on historical data, including slicing and dicing, analyse real-time data along with historical data, and also perform aggregation in real time. Data is stored in a persistent, immutable manner within the platform and hence can be used at any time in the future with proper data lineage without depending on the source system.

Our solution framework offers you a pre-packaged open source data visualisation engine that is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualise their data, from simple line charts to highly detailed geospatial charts.

Whiteklay’s IZAC supports machine algorithms for optimization problems, projections, benchmarking, relationship analysis, trend analysis, classification, clustering, in-memory processing, and analytics on real-time data in real time. IZAC also has an intuitive interface to explore and visualise datasets and create interactive dashboards. IZAC supports ad hoc data exploration and self-service dashboards.

Whiteklay’s IZAC provides role-based access to data catalogue objects, meta-data administration, dashboards, and exception management. It provides a source-to-target visualisation of data movements and transformations—right from a high-level view, and thereafter, users can drill down into specific data assets. Track every query made on the platform. IZAC has detailed logs for auditing and troubleshooting. IZAC provides enterprise features that enable organisations to comply with global standards like GDPR. IZAC is ISO 9001 and ISO 27001 certified.