Top 50 Data Warehouse Service - Series A

Kubit offers an AI‑powered, warehouse‑native analytics platform that enables marketing, product, and business teams to query raw data directly from their cloud data warehouses using natural language, with the system translating queries into optimized SQL and exposing the full query for transparency. Autonomous agents monitor key funnels, detect anomalies, and generate enriched user cohorts that can be automatically synced to CRM and marketing automation tools. The zero‑copy architecture preserves a single source of truth and enterprise‑grade governance while a no‑code dashboard builder provides instant custom visualizations.

Gestalt is a data warehousing platform designed for financial institutions, providing a pre-built architecture that consolidates data from various systems into a single, accessible location. By automating data management and maintenance, it enables lenders to leverage clean, normalized data for reporting and decision-making without the need for extensive custom development.

Espresso AI utilizes generative AI to optimize SQL queries for Snowflake data warehouses, resulting in significant cost reductions for users. Customers typically experience savings of up to 70% on their Snowflake bills with a straightforward setup and no ongoing maintenance required.

Prequel provides an API for data warehouse integrations, enabling applications to securely replicate live data to their customers' chosen databases, data warehouses, and object storage services. The platform manages transfers to over 20 destinations, allowing businesses to offer analysis-ready data without maintaining complex ETL pipelines. It offers a customizable customer experience via an SDK and ensures enterprise-grade security through ephemeral workers and SOC II certification.

SCUBA is a Time-Series Data Warehouse optimized for real-time decision intelligence, enabling businesses to leverage first-party and AI-generated data without complex integrations. The platform provides in-the-moment insights and activation across channels while ensuring data privacy and enhancing audience profiles through agnostic identity matching.

Mozart Data offers a modern data platform that integrates ETL, data warehousing, and transformation tools to automate data preparation and centralize information from various sources. This solution enables businesses to quickly access clean, analysis-ready data, reducing the time to derive insights by 76% and eliminating the need for engineering resources.

Revefi provides an AI agent that unifies FinOps, DataOps, and Data Observability across cloud data platforms like Snowflake and Databricks. This platform autonomously optimizes data costs, enhances data quality, and improves operational performance for data workloads and LLM agent deployments. The service delivers immediate, zero-touch insights and remediation to maximize ROI on data infrastructure spend.

Civis Analytics provides a fully managed platform that unifies data warehousing, ELT ingestion, self‑service analytics, and AI model deployment, allowing organizations to query, report, and build AI applications without separate tools or infrastructure. The horizontally scalable environment includes built‑in data governance, identity resolution, and collaboration features to streamline data quality, security, and team workflows.

Space and Time provides a decentralized data platform that combines blockchain indexing, data warehousing, and API services, all secured by sub-second zero-knowledge (ZK) proofs for SQL queries. This technology enables smart contracts to access verified on-chain and off-chain data in real-time, enhancing the reliability and efficiency of data-driven applications.

The startup offers a query engineering platform that customizes Snowflake's behavior for each query, providing features like warehouse optimization and granular cost control. This platform enables data engineers to efficiently manage query performance and costs, addressing challenges related to resource allocation and query complexity.

Rivery is a no-code ELT platform that enables rapid data ingestion, transformation, and orchestration from various sources into cloud data warehouses. It streamlines data workflows and reduces processing time, allowing businesses to efficiently manage their data operations and enhance analytics capabilities.

Keebo provides a fully automated optimization platform for Snowflake, utilizing patented technology to dynamically adjust warehouse size, clustering, and memory based on real-time workload changes. This solution reduces operational costs by at least 25% without compromising query performance, freeing up data teams from manual oversight.

Provides an end-to-end data platform that uses a proprietary Activity Schema™ to consolidate data into a single table, enabling data analysts to answer 80% of ad-hoc queries without requiring changes from data engineering. This approach reduces data model maintenance by 80%, cuts warehouse costs by up to 70%, and streamlines workflows by integrating frontend, backend, and third-party data for comprehensive analysis.

WhiteSpace Health provides an AI-powered analytics platform that consolidates healthcare revenue cycle and operational data into a unified health data warehouse. The platform enhances revenue transparency and operational efficiency by delivering real-time KPIs and actionable insights, enabling healthcare organizations to optimize performance and improve cash flow.

Hevo Data provides an automated data pipeline platform that integrates data from over 150 sources in near real-time, enabling users to prepare and load analytics-ready data with minimal maintenance. The platform ensures 100% data accuracy and 99.9% uptime, addressing the challenges of data management and operational inefficiencies for modern data teams.

Hightouch is a composable Customer Data Platform that connects directly to data warehouses such as Snowflake, BigQuery, and Databricks, allowing marketers to build and test audience segments in real time without data duplication. The platform uses a no‑code builder and AI decision agents to generate activation signals, which are streamed via reverse‑ETL to over 250 downstream marketing, advertising, and CRM tools. Built with role‑based access control and audit logging, it provides secure, low‑maintenance data activation for growth and lifecycle teams.

Kubit provides a no-code analytics platform that activates customer journey insights directly from existing data warehouses, eliminating the need for ETL processes. This solution enables teams to access real-time, event-level visibility into user behavior, facilitating faster, data-driven decision-making without data duplication.

DinMo is a Composable Customer Data Platform that integrates directly with existing data warehouses, allowing marketing teams to access and utilize customer data without the need for engineering support. It addresses the challenges of traditional CDPs by enabling rapid implementation and real-time data synchronization, significantly reducing customer acquisition costs and improving campaign effectiveness.

Explo provides a data exploration and analysis platform that connects directly to various database and warehouse sources, enabling the embedding of interactive dashboards and self-serve reporting within applications. This solution reduces development time and costs while allowing end users to customize their analytics experience through editable dashboards and ad hoc report generation.

Vaultspeed provides a no-code, metadata-driven data modeling platform that automates data integration and business logic for cloud data warehouses, lakehouses, and meshes. This solution enables data teams to rapidly build and deploy data products in under two sprints, significantly reducing time-to-market and technical debt.

Tinybird is a data platform that enables developers to ingest both batch and streaming data, query it using SQL, and publish APIs for user-facing analytics. By simplifying the creation of real-time data products, Tinybird addresses the challenge of rapidly delivering actionable insights from large datasets without the need for complex infrastructure management.

Hightouch is a Composable Customer Data Platform (CDP) that enables marketers to activate and sync customer data directly from their data warehouse to over 200 marketing and sales tools without the need for coding. This approach allows businesses to create targeted audiences, optimize campaign performance, and enhance customer engagement while maintaining data security and governance.

Amplitude provides a warehouse‑native digital analytics platform that collects event data from any source and delivers product and marketing analytics, session replay, and heatmaps. The platform includes built‑in A/B testing, feature flag management, and an activation layer that distributes insights via APIs and AI agents, while offering role‑based security and compliance controls. Integrations with hundreds of SaaS tools enable teams to centralize data and act on insights across product, growth, and engineering.

Kumo develops foundation models specifically engineered for relational enterprise data housed within data warehouses. These models enable users to generate instantaneous, zero-shot predictions directly from structured data without requiring complex machine learning pipelines. The platform supports fine-tuning for custom needs while offering explainable outputs and reverse ETL capabilities for triggering real-time actions.

Bobsled provides a data product platform designed to transform data into AI-ready assets and conversational experiences. The platform enables secure data sharing across various environments via a data access network with zero-copy capabilities. It supports agentic analytics and workflows by integrating context and semantic models for accurate, automated data reasoning.

Provides an AI-powered data analytics platform that integrates with diverse data sources, including APIs, databases, and unstructured formats like PDFs and emails, to unify and analyze business data. By delivering real-time, expert-level insights through customizable dashboards and automated reporting, it eliminates the need for dedicated data teams while reducing operational costs and improving decision-making speed.

Provides a fully-managed PostgreSQL platform that supports over 200 extensions, enabling developers to build, scale, and optimize applications with features like data warehousing, message queuing, machine learning, and geospatial processing. By consolidating multiple data services into a single, extensible database solution, it reduces infrastructure sprawl and simplifies operational complexity for real-time and analytical workloads.

WisdomAI provides enterprise‑grade, context‑aware analytics agents that automate data querying, dashboard creation, and insight generation across structured, semi‑structured, and unstructured sources. The platform uses an adaptive context engine to deliver conversational BI with up to 95% accuracy, enabling business users to obtain self‑service analytics and proactive recommendations without manual dashboard development. WisdomAI is offered as a SaaS, VPC, or on‑prem solution with subscription pricing and supports deployment on Azure, AWS, or GCP.

Modjoul provides an AI-driven platform that transforms warehouse data into real-time insights, enabling management to enhance safety and optimize workflows. The technology specifically targets workplace injuries and operational inefficiencies by autonomously monitoring wearable and machine data to deliver actionable notifications.

NetSpring provides warehouse-native analytics that enable businesses to analyze product usage and customer behavior across all data sources without the need for data movement or ETL processes. This approach allows teams to gain insights into user engagement and retention while ensuring compliance with security and governance policies.

DataChat is a no-code conversational intelligence platform that enables business users to query their data in plain English, facilitating rapid access to insights without the need for technical expertise. By allowing iterative analytics and maintaining data security within the user's database, DataChat streamlines the decision-making process and enhances data-driven operations.

Unravel offers an AI‑driven data observability platform that continuously monitors performance, cost, and data quality across major cloud data warehouses and processing engines. The system automatically generates and applies optimization actions, delivering real‑time insights and FinOps analytics through a dashboard and API to help data engineering teams meet SLA targets and reduce cloud spend.

AutoScheduler provides a dynamic orchestration platform that synchronizes warehouse elements like inventory, labor, and transportation using real-time data. The system optimizes workflows by consolidating data silos and intelligently allocating tasks to eliminate bottlenecks. This results in improved labor utilization, reduced dock congestion, and maximized value from existing automation investments.

Provides a serverless stream processing platform and an open-source distributed streaming database that enable real-time ingestion, transformation, and analysis of high-velocity data streams alongside historical data. This unified solution supports use cases like continuous analytics, real-time ETL, and feature engineering, delivering sub-second query performance and seamless integration with tools like Kafka, PostgreSQL, and Snowflake.

Sift Hub provides a cloud‑native data integration platform that unifies SaaS APIs, on‑premise databases, and event streams into a single analytics layer. It offers a low‑code pipeline builder, pre‑built connectors, and a real‑time streaming engine that normalizes and enriches data into a scalable columnar lake, accessible via dashboards, ad‑hoc queries, and APIs with built‑in governance. The solution targets data‑centric enterprises seeking consolidated, near‑real‑time business metrics.

The startup offers a web-based business intelligence platform that integrates data collection, transformation, analysis, and machine learning to deliver embedded analytics for enterprise applications. This solution enables organizations to enhance their analytics capabilities, reduce operational costs, and improve decision-making efficiency.

e6data develops a lakehouse compute engine that utilizes a fully disaggregated architecture for high-performance analytics on compute-intensive workloads. This technology mitigates compute ecosystem lock-in and reduces total cost of ownership by enabling interoperability across various data formats and storage layers.

The startup offers a data operations platform that integrates data from multiple sources and databases to create a unified data product. This enables organizations to achieve real-time business intelligence and maintain a single source of truth for informed strategic decision-making.

Delphina functions as a data agent that builds a living map of an organization's data landscape by integrating warehouse data and analyses. It allows users to query data using natural language within platforms like Slack, automatically planning analysis, writing SQL, and returning results. The platform also offers proactive workflow agents for monitoring metrics and governance tools for oversight and access control.

Preset offers a cloud-based analytics platform that aggregates and analyzes large datasets from diverse sources, enabling real-time insights for organizations. This platform enhances data-driven decision-making and collaboration among teams, addressing the challenge of fragmented data access and analysis.

Propel is a serverless analytics platform built on ClickHouse, providing secure GraphQL and SQL APIs for real-time data ingestion and analysis. It enables developers to quickly create and embed analytics features in customer-facing applications, addressing the need for fast, reliable data insights without the overhead of managing infrastructure.

PuppyGraph is a real-time, zero-ETL graph query engine that allows users to query existing relational data stores as a unified graph model. It supports petabyte-scale data and executes complex multi-hop queries in seconds, integrating natively with SQL and graph query languages like Gremlin and Cypher. This platform enables advanced graph analytics use cases such as fraud detection and enhancing LLMs without the latency or maintenance overhead of traditional graph databases.

The startup develops self-storage management software that automates operations for storage facility operators through a unified ecosystem of tools. This software enhances operational efficiency and reduces the time spent on manual management tasks, allowing businesses to focus on growth.

Shovels processes fragmented building permit data using AI to deliver actionable intelligence for the built world. This structured data is accessible through various interfaces, including API, direct data warehouse feeds, and a web application. Industries like construction technology, real estate, and telecommunications use this intelligence for market research, site selection, and lead generation.

Rill provides a high-performance, AI-native business intelligence platform that operates on a BI-as-code paradigm. It features an embedded in-memory database for millisecond query response times, enabling rapid data exploration and visualization. The platform supports last-mile ETL via SQL and integrates Git workflows for development and deployment.

Develops a data automation platform built on Apache Iceberg, enabling seamless table format interoperability across data lakes and warehouses. It addresses the challenges of data fragmentation and inefficiency by providing a unified standard for managing and processing large-scale datasets.

Gather AI provides software-driven automated inventory monitoring solutions using autonomous AI drones for real-time data collection and analysis in warehouses. This technology reduces inventory errors by up to 66% and enhances cycle counting productivity by four to five times, addressing issues of human error and inventory shrinkage.

Hashboard is a data visualization platform that allows teams to define metrics within their data warehouse, enabling efficient exploration and collaboration on insights. By providing a single source of truth and intuitive user interface, it simplifies data analysis for both technical and non-technical users, enhancing decision-making processes.

The startup offers a digital fulfillment platform that integrates e-commerce storefronts, order management, inventory tracking, warehouse operations, and shipping logistics into a single solution. This platform addresses the inefficiencies faced by emerging retailers in managing their supply chain and fulfillment processes.

Omniful provides an AI‑native, cloud‑based platform that unifies order, warehouse, transportation, POS, inventory and returns management into a single real‑time dashboard. The system uses machine‑learning for demand forecasting and dynamic routing, and offers no‑code connectors to major marketplaces, carriers and ERP systems, enabling retailers and logistics providers to automate workflows and scale across multiple locations.