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RightData
Low-Code, AI-Driven Data Products Platform for Reliable Data Operations

What is RightData?

RightData is a comprehensive data products platform integrating generative AI to streamline ETL testing, data governance, and data pipeline management. Built for enterprises and scalable across organizations, it empowers users to ingest, cleanse, profile, validate, and govern data through a low-code, no-code interface. The platform offers specialized modules—DataTrust for continuous monitoring, observability, and quality assurance, and DataMarket for data cataloging and democratizing access to structured and unstructured data products.

RightData supports seamless data migration to leading cloud platforms with extensive data connectors, automated quality checks, and real-time replication. Its AI-powered features enable automated rule generation for validation, anomaly detection, and natural language data interrogation, making data easier to find, trust, and act upon while reducing dependence on technical experts.

Features

  • Low-Code/No-Code Data Pipeline Builder: Visual interface for data integration, cleansing, and transformation without coding.
  • Automated ETL Testing and Validation: Generative AI and machine learning automate rule creation and detect anomalies.
  • DataTrust Module: Continuous monitoring, verification, and reconciliation of data to ensure integrity and observability.
  • DataMarket Catalog: Federated data governance and self-service access to data products through a search-driven marketplace.
  • Enterprise-Scale Support: Integrates with platforms like Databricks, Snowflake, AWS Redshift, and Azure Synapse for high-speed processing.
  • Real-Time Data Replication and Migration: Migrate large datasets quickly with quality audits and migration validation.
  • Automated Data Quality Audits: Field-level reconciliations and bulk validation with alerting.
  • Natural Language Data Query: Search and interact with data products using conversational queries.
  • Data Profiling and Analytics: Gain actionable insights with built-in analytics, profiling, and business rules.

Use Cases

  • Automating ETL pipeline testing and validation for reliable data delivery.
  • Ensuring data quality, observability, and compliance during cloud migration initiatives.
  • Building and cataloging business-ready data products for analytics and reporting.
  • Facilitating self-service data discovery and access across departments through a searchable marketplace.
  • Implementing data governance policies and continuous quality monitoring for regulatory compliance.
  • Enabling non-technical users to prepare and validate data without coding.
  • Detecting and resolving data anomalies using machine learning-driven rule generation.
  • Streamlining bulk data comparisons and field-level reconciliations between source and target databases.

FAQs

  • What cloud platforms does RightData integrate with?
    RightData integrates with major cloud data platforms including Databricks, Snowflake, AWS Redshift, and Azure Synapse.
  • Can non-technical users work with data pipelines in RightData?
    Yes, RightData offers a low-code, no-code interface allowing users of all skill levels to build and manage data pipelines.
  • How does RightData ensure data quality?
    The platform provides automated, continuous data quality audits, anomaly detection, and rule-based validation powered by AI and machine learning.
  • Is data discovery supported in RightData?
    Yes, the DataMarket module offers a federated data governance and searchable catalog, enabling easy data discovery and access.

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