Best Data Engineering Tools in India

Teradata VantageCloud is a cloud-native platform built for modern data engineering at scale. It enables teams to ingest, transform, and orchestrate structured and semi-structured data across multi-cloud and hybrid environments. With support for SQL, Python, and R, VantageCloud integrates with popular data pipelines and tools, allowing for efficient ETL/ELT workflows, real-time processing, and advanced analytics. Its open architecture ensures interoperability with industry standards, while built-in governance and workload management help maintain performance and compliance. Ideal for data engineers building resilient, scalable data infrastructure.

BigQuery is an essential tool for data engineers, allowing them to streamline the process of data ingestion, transformation, and analysis. With its scalable infrastructure and robust suite of data engineering features, users can efficiently build data pipelines and automate workflows. BigQuery integrates easily with other Google Cloud tools, making it a versatile solution for data engineering tasks. New customers can take advantage of $300 in free credits to explore BigQuery’s features, enabling them to build and refine their data workflows for maximum efficiency and effectiveness. This allows engineers to focus more on innovation and less on managing the underlying infrastructure.

Composable is an enterprise-grade DataOps platform built for business users that want to architect data intelligence solutions and deliver operational data-driven products leveraging disparate data sources, live feeds, and event data regardless of the format or structure of the data. With a modern, intuitive dataflow visual designer, built-in services to facilitate data engineering, and a composable architecture that enables abstraction and integration of any software or analytical approach, Composable is the leading integrated development environment to discover, manage, transform and analyze enterprise data.

Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation. Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databases—to get real results, in real time.

The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.