Databricks Genie One Verified Customer Reviews (2026)

SCIKIQ is one of the most innovative AI-native Data & Intelligence platforms for enterprises, built to make enterprise data AI-ready in weeks, not years. Recognized by Forrester among leading AI-augmented data platforms, NASSCOM League of 10, YourStory Tech30, Inc42 and DataIQ, SCIKIQ is trusted by leading global enterprises across the USA, India, UK and UAE. SCIKIQ brings Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products and AI Agents together in one unified platform. Unlike traditional data platforms that require enterprises to move or rebuild their technology stack, SCIKIQ works with what you already have. Connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, warehouses and enterprise applications through 200+ pre-built connectors, with no rip-and-replace. What makes SCIKIQ different is Contextual Intelligence. SCIKIQ doesn't just connect data; it helps AI understand its business meaning. Its semantic layer combines business terms, KPI definitions, metadata, lineage, ownership, rules, ontologies and relationships to create a trusted foundation for enterprise AI. Business users can talk to their data in natural language, investigate KPIs, discover root causes and generate insights without SQL. Data teams gain enterprise-grade governance, quality, lineage and control. AI teams get trusted, contextual data for building GenAI applications and intelligent AI agents. Why enterprises choose SCIKIQ AI-ready in 3–6 weeks | 167+ connectors | 99.9% availability | Multi-cloud | No-code | No vendor lock-in | No replatforming Proven production deployments across Manufacturing retail, airlines, logistics, BFSI, Healthcare and others

RouteGenie is NEMT software running medical transportation operations at scale: 600+ fleets, 20,000+ vehicles, 46 states and two countries, approximately 50,000 trips every day. Where operators feel it: schedules rebuild automatically with native multiload, not by hand; broker trips flow in and statuses flow back across 28 live integrations including ModivCare, MTM, Veyo, Verida, SafeRide Health, Alivi, MAS and Uber Health; Medicaid billing, CMS 1500, claim scrubbing and denial management live in the same system as dispatch. Multi-site operators run every location in one instance with role-based access and a complete audit trail on every trip change. Enterprise administration comes standard: SAML2 SSO, single-tenant deployment with per-customer data isolation, SOC 2 Type 1 attestation, HIPAA-aligned controls and BAAs, open REST API. Pricing is flat per vehicle with unlimited trips and unlimited users — cost tracks fleet size, not trip volume or headcount, so total cost does not climb as volume grows. Enterprise agreements include dedicated implementation, named support and RFP support. No fleet minimum.

Genie Code represents a cutting-edge AI solution tailored for data teams, enabling them to analyze, create, and oversee complex data workflows seamlessly within the Databricks ecosystem. This sophisticated tool operates independently to coordinate and execute multi-step processes while adapting to the specific data and governance structures of an organization, showcasing its expertise in areas such as data engineering, data science, machine learning, and business intelligence. By utilizing the metadata, semantics, and governance features provided by Unity Catalog, Genie Code is adept at identifying authoritative tables, metrics, and assets, understanding the interdependencies among various data and AI systems, and complying with predefined access controls. In the field of data science, it is particularly skilled at discovering and cleaning data, examining datasets, validating assumptions, and generating reports that are easily shareable among stakeholders. For machine learning tasks, it manages aspects such as feature engineering, model training and evaluation, deployment strategies, endpoint configuration, and performance optimization. Moreover, data engineers can leverage natural language to simplify ETL workflows, boost query performance, and design Spark Declarative Pipelines, ultimately enhancing the efficiency and accessibility of their processes. In essence, Genie Code not only streamlines the work of data teams but also fosters rapid innovation and agility in their data-centric projects. This transformative tool is poised to redefine the way organizations approach their data operations and enhance their overall productivity.