Top 50 Data Warehouse Service - Series B

The startup operates a data analytics platform that enables rapid analysis of large datasets, handling tens of terabytes to exabytes with trillions of rows. By ingesting billions of rows per second and providing filtered aggregate results, the platform simplifies complex data ecosystems for organizations.

MotherDuck provides a serverless cloud data warehouse built on DuckDB for fast, scalable analytics. It offers independent, per-user compute nodes ensuring low-latency performance without resource contention. The platform supports SQL and natural language querying for both internal insights and customer-facing embedded analytics.

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.

Onehouse is a fully managed cloud-native lakehouse service that ingests data from various sources in near real-time, enabling organizations to maintain a single source of truth without the need for complex data replication. By leveraging Apache Hudi and supporting multiple query engines, it reduces operational costs by over 50% while providing scalable access to analytics-ready data.

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.

Yellowbrick Data provides a high-performance SQL data platform that supports enterprise data warehousing and streaming analytics with continuous data ingestion and low-latency query execution. This technology enables organizations to efficiently handle large-scale, concurrent workloads while minimizing unpredictable query runtimes, facilitating faster decision-making.

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.

Airbyte is an open-source data integration engine that enables organizations to sync data from various applications to data warehouses, facilitating seamless data movement across multi-cloud environments. By providing a platform for building custom connectors with low-code or no-code options, Airbyte addresses the challenge of managing diverse data sources while ensuring data privacy and governance.

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.

Fivetran provides an automated ELT platform that extracts, loads, and optionally transforms data from over 700 SaaS, database, ERP, and file sources into data warehouses, lakes, or downstream applications. The service handles schema drift, change‑data‑capture, and real‑time replication without custom code, offering enterprise‑grade security, governance, and hybrid deployment options. Users configure pipelines via a web UI or API and are billed per million rows synced.

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.

RudderStack provides a warehouse-native customer data platform that enables businesses to collect, unify, and activate customer data in real-time. By centralizing data collection and ensuring data quality, it eliminates the complexities of data integration and compliance, allowing teams to deliver actionable insights and improve customer engagement efficiently.

This company deploys autonomous robots to scan warehouse environments, creating a live digital twin with real-time data. The platform uses AI-powered analytics to provide inventory visibility, flag discrepancies, and offer actionable intelligence for operational optimization. This solution significantly reduces manual stocktaking, improves inventory accuracy, and enhances overall site safety and efficiency.

Reveal is a cloud-based platform that enables organizations to capture and analyze critical business data efficiently. By streamlining data collection and reporting processes, it enhances decision-making and operational effectiveness for enterprises.

Cybersyn provides data-as-a-service (DaaS) by delivering analytics-ready data directly to Snowflake instances, enabling businesses to make informed decisions without the need for complex data engineering. The platform offers real-time insights into consumer behavior and market trends, allowing companies to enhance their competitive strategies and operational efficiency.

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.

Census is a Data Activation and Reverse ETL platform that enables businesses to define and sync trusted data from their data warehouse to over 150 operational tools without the need for code or CSVs. This solution eliminates data silos, allowing marketing and data teams to collaborate effectively by providing real-time access to actionable insights and standardized datasets.

Incorta provides a unified data and analytics platform that connects directly to source systems such as ERP, CRM, and other core applications using its Direct Data Mapping engine, removing the need for traditional batch ETL pipelines. The platform streams transaction‑level data into an in‑memory engine for sub‑second queries, offers low‑code data modeling, AI‑driven natural‑language analytics, automated workflows, and role‑based security, with open APIs for integration into existing BI and cloud environments.

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.

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.

Promethium offers an AI-Powered Data Fabric that enables teams to access and analyze data products in real time without moving data, facilitating instant insights for both technical and non-technical users. This platform addresses the challenge of slow data access and complex integrations by providing a unified, self-service environment with enterprise-grade security and governance.

Dune provides a cloud‑native platform that aggregates and normalizes on‑chain data from over 100 public blockchains into a unified, queryable schema. Users can run SQL‑compatible queries, build visual dashboards, and access results via REST APIs or export connectors for data warehouses and machine‑learning pipelines, all with enterprise‑grade security and near‑real‑time freshness.

StarTree provides a platform-as-a-service built on Apache Pinot, enabling real-time analytics with sub-second query response times on petabyte-scale data. This solution allows businesses to efficiently handle high concurrency demands while minimizing costs associated with data processing and analysis.

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.

The startup offers a decision intelligence platform that integrates artificial intelligence-driven automation with a user-friendly search interface, enabling enterprises to conduct ad hoc data exploration. This platform allows users to analyze extensive datasets rapidly, providing actionable insights that enhance data-driven decision-making.

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.

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.

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.

Provides a cloud-based platform for creating, governing, and distributing data products across enterprises without moving data from its source. It enables seamless data sharing, integration with tools and AI models, and the establishment of self-service data marketplaces, reducing the complexity and cost of data access and distribution.

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.

Provides an AI-powered data discovery platform that enables users to find, understand, and trust their data through natural language search, automated documentation, and SQL query simplification. It reduces reliance on IT by offering self-service analytics while ensuring data governance, compliance, and security at scale.

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.

Metabase is an open-source analytics and business intelligence application that enables users to create interactive dashboards and visualizations without requiring SQL expertise. It connects directly to over 20 data sources, allowing teams to explore and analyze data independently, thereby reducing reliance on technical staff for reporting.

Flexe provides a cloud‑based platform that links enterprises to a network of over 800 warehouse operators across the United States and Canada, allowing on‑demand scaling of storage and fulfillment capacity. The system integrates with WMS, OMS and IMS via API, EDI or XML and delivers real‑time order routing, inventory visibility, and analytics while using a pay‑as‑you‑go pricing model to avoid capital expenditures and long‑term contracts. A dedicated logistics analyst control‑tower monitors performance and ensures service‑level compliance across the flexible network.

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.

Zenysis offers Harmony, an open-source advanced analytics platform that integrates data from disparate health information systems into a unified workspace for real-time analysis. This technology enables governments and organizations to derive actionable insights, enhancing decision-making and improving health outcomes on a global scale.

Sigma provides a cloud analytics solution with a spreadsheet-like interface that allows users to analyze billions of records in real-time using SQL, Python, or AI. This platform enables teams to collaborate effectively and automate data workflows while maintaining security and performance, addressing the need for accessible and scalable data analysis in organizations of all sizes.

Voltron Data provides Theseus, a GPU-accelerated SQL engine designed for processing petabyte-scale data without the need for indexing or data movement. It enables enterprises to significantly reduce query times, server counts, and operational costs, making it ideal for large-scale ETL and machine learning preprocessing tasks.

HockeyStack provides an AI-driven Go-to-Market (GTM) intelligence platform that unifies B2B revenue data from various sources. It delivers actionable insights through AI analysts and automates execution via self-improving GTM agents for marketing, sales, and operations teams. The platform enables users to optimize spend, align sales and marketing efforts, and accelerate pipeline generation with data-backed recommendations.

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.

MindsDB provides an AI analytics solution that enables teams to generate complex analysis and actionable answers across diverse, petabyte-scale data sources using natural language. The platform eliminates ETL by connecting directly to structured and unstructured data repositories, allowing non-technical users to query data and build AI models conversationally. This approach delivers real-time, trustworthy business intelligence without requiring data movement or extensive data engineering expertise.

The startup offers an autonomous big data analytics platform that utilizes declarative configurations and automation to manage cloud infrastructure and optimize data pipelines. This technology reduces maintenance efforts throughout the data lifecycle, enabling business managers to initiate projects and make informed decisions with ease.

Zetaris is an analytical data virtualization platform that provides a no-code application programming interface for seamless integration of diverse data sources, enabling organizations to prepare their data for AI applications efficiently. The platform eliminates lengthy data preparation projects and manual logic building, allowing users to access high-quality, governed data quickly and cost-effectively.