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What is Cazpian?

Cazpian is a unified lakehouse platform designed to support modern analytics, data governance, and AI-driven workflows across large-scale data environments. The platform integrates data catalog management, compute resources, data product development, and AI assistance into a single system for data teams. Cazpian enables organizations to connect to various data sources including object storage systems, Apache Iceberg tables, and relational databases through a single SQL interface. This unified catalog approach allows teams to query and analyze data across multiple systems without the need for data duplication or complex pipelines. The platform includes a compute workbench that supports interactive SQL queries, code notebooks, job scheduling, and performance optimization for analytics workloads. Iceberg automation features help manage table maintenance tasks such as compaction, snapshot expiration, and orphan data cleanup through scheduled workflows. Cazpian’s AI Studio introduces workspace-based AI agents that provide evidence-backed insights by combining structured data queries with contextual knowledge sources. The platform also supports the creation of governed data products that include built-in quality rules, OLAP cube builders, and discoverable data marketplaces. Its architecture separates governance, data, compute, and AI into dedicated operational planes, enabling organizations to manage policies centrally while executing workloads within their own cloud infrastructure. Advanced security features include role-based access control, tenant isolation, and comprehensive audit logging for compliance and monitoring. By integrating governance, analytics infrastructure, and AI capabilities, Cazpian enables data teams to manage complex lakehouse stacks more efficiently. The platform ultimately helps organizations deliver scalable analytics, automate data operations, and empower teams with intelligent data insights.

What is Alkemi?

Alkemi's flagship product, DataLab, functions as a secure, AI-powered workspace that enables seamless access to your organization’s regulated data sourced from platforms like Snowflake, BigQuery, Databricks, or even simple CSV uploads, allowing users to ask questions in natural language and receive prompt, comprehensible answers, visualizations, and recommendations without the need for SQL knowledge or analyst support. Operating in a private and secure environment, DataLab diligently indexes and analyzes your data, guaranteeing that every insight is traceable and verifiable, thus preserving the integrity of your data while safeguarding intellectual property and governance. By integrating complex data storage with user-friendly decision-making, it significantly enhances business intelligence clarity through conversational AI, effectively reducing BI backlogs and speeding up decision-making processes across diverse sectors, including marketing, finance, product, sales, and operations. Moreover, DataLab enables data providers to convert their datasets into interactive, AI-ready experiences that can be safely explored by buyers, promoting quicker data discovery while ensuring the integrity of the original raw data is maintained. This groundbreaking method not only optimizes workflows but also cultivates a robust culture of data-driven decision-making within organizations, ultimately leading to more informed and strategic business outcomes. In this way, DataLab serves as a critical tool for businesses aiming to leverage data effectively and strategically in an ever-evolving market landscape.