Products

Raden augments your data team with distinguished engineer expertise for: - Automated Data Observability - Continuous Spend Optimization - Automated Data Quality - Performance Optimization - Usage and Governance With Raden, data teams experience: - Results in 5 minutes - 50% reduction in data spend - 10x improvement in operational efficiency

Pryzm is a Data Reliability & Observability Platform, crafted to ensure precision and trust in every data point, so that businesses can confidently make data-driven decisions. Pryzm continuously observes all data assets and ensures your team is the first to know about data anomalies. It proactively alerts the stakeholders and guides with quick contextual root-cause analysis. Pryzm is conceptualized from learning of 10+ years' experience of Data Governance & developing robust Data Platfo

Datazone is an end-to-end data platform that helps teams connect, build, and serve data securely and at scale. Its AI capabilities via Orion AI allow teams to extend workflows to build and deploy AI models and applications seamlessly without extra infrastructure. Connect: Integrate 300+ sources databases, APIs, files, or streams. Break data silos with real-time or batch sync, built-in security and monitoring. Build: Create pipelines, workflows, and datasets in a collaborative workspace. Run SQ

Kastor gives data teams a safer way to make production Iceberg changes. Every change is checked before it ships, governed by your rules, and backed by a clear record of what happened and how to recover.

Dxtra is an AI-powered platform specifically designed for small and medium-sized enterprises across all industries. Our mission is to democratize enterprise-grade privacy compliance by making it simple, affordable, and accessible to organizations that lack in-house privacy teams. We enable businesses to build consumer trust, minimize privacy risks, and maintain compliance with the complex landscape of global data protection regulations.

Data integration, visualization and analytics platform for industrial operations.

Auraa is Covasant's Databricks-native, agent-driven data platform which is the fastest path to AI-ready data on Databricks. With its conversational AI capabilities in natural language, enterprises can use agents to discover various data sources, build pipelines, enforce data quality, and register everything in Unity Catalog autonomously, from day one. Auraa eliminates pipeline code, engineering backlog, and months of manual configuration. While creation of a datalake on Databricks usually takes

Syntitan is an AI-ready data platform that makes enterprise data runnable for AI and ties every AI run to a reproducible Release State. Syntitan is an AI-ready data platform for teams running AI and LLMs in production. When production AI breaks, the data is usually why. The model checks out fine, but the data shifted under it, and by the time the output looks wrong, no one can say what changed or when. Syntitan works on two fronts to fix that. It first checks whether your data is ready for AI

DataByte is a fully managed data engineering and operations platform that handles the complete data journey from ingestion and transformation to analytics, governance, and machine learning through a single unified interface. The platform is built for cloud-native environments and supports no-code and low-code pipeline development. It is structured around several modules, each addressing a specific area of data operations. The Data ingester module supports ingestion from databases, APIs, file sys

[LakeOps](https://lakeops.dev) is an autonomous control plane for Apache Iceberg lakehouses. It connects to existing Iceberg catalogs and object storage, continuously analyzes table health, file layout, manifests, snapshots, delete files, and query telemetry, then coordinates maintenance operations such as compaction, snapshot expiration, manifest optimization, orphan file cleanup, and delete-file optimization. It also enables and optimizes multi-engine query routing optimization, change simul

D8TAOPS is a governed data orchestration company helping enterprises in regulated industries operationalize AI safely. Our product suite, D8:Platform, D8:STACK, and D8:ACM, delivers modular, governance-first data operations across AWS, Azure, GCP, Snowflake, Databricks, and legacy environments. Governance is built into the data lifecycle, not layered on top. We serve financial services, healthcare, energy, government, and manufacturing. Named Best Data Infrastructure and Analytics Business of th

The Agentic Data Engineering Platform for the Lakehouse & Spark Ecosystem. Cut Costs and Ensure SLAs with Agentic Spark Optimizations Maximize resource utilization and improve jobs runtime with real-time monitoring and actionable recommendations.

Coalesce360 helps organizations replace disconnected CRM, PSA, help desk, reporting, and change tracking tools with one unified business operations platform. Built for B2B teams that need visibility across sales, delivery, customer work, support tickets, analytics, and production change governance, Coalesce360 gives leadership a single operating view from opportunity through delivery and support.

Data Nexus by Polestar Analytics is a unified, low-code platform designed to simplify data engineering and orchestration across modern enterprises. Built to handle complex data ecosystems, Data Nexus enables organizations to seamlessly ingest, transform, and orchestrate data pipelines, without heavy coding or fragmented tools. As a scalable data foundation, Data Nexus empowers data teams and business users to collaborate efficiently, ensuring reliable, high-quality data is always available for