Best Data Warehouse Solutions - Page 8

How Many Data Warehouse Solutions Products Does G2 Track?

Total Products under this Category: 125

Category Stats (Sep 2026)

  • Average Rating: 4.37/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cloudera (+2.13%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

Last updated: September 15, 2026

How Does G2 Rank Data Warehouse Solutions Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 7,500+ Authentic Reviews
  • 125+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Data Warehouse Solutions

G2 Grid® for Data Warehouse Solutions plotting products by satisfaction and market presence

Highlighted products: Databricks, Google Cloud BigQuery, Snowflake, SAP Datasphere, IBM watsonx.data, Amazon Redshift, Teradata Autonomous Knowledge Platform, and VMware Greenplum.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-warehouse/grids.json?focus%5B%5D=databricks&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=snowflake&focus%5B%5D=sap-datasphere&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=amazon-redshift&focus%5B%5D=teradata-autonomous-knowledge-platform&focus%5B%5D=vmware-greenplum)

Onehouse Cloud

Onehouse Cloud is a fully managed, cloud-native data lakehouse platform designed to streamline data ingestion, transformation, and storage. Built on open-source technologies like Apache Hudi™, it enables organizations to efficiently manage their data pipelines, ensuring high performance and cost-effectiveness.

Who Is the Company Behind Onehouse Cloud?

  • Seller: Onehouse
  • Year Founded: 2021
  • HQ Location: Menlo Park, US
  • LinkedIn® Page: www.linkedin.com
    59 employees on LinkedIn®

Oracle Intelligent Data Lake

Oracle Intelligent Data Lake is an integral component of the Oracle Data Intelligence Platform, designed to unify and streamline data management by integrating diverse data sources into a cohesive environment. Leveraging open-source standards such as Apache Spark and Apache Flink, it facilitates advanced data processing and real-time analytics. The platform offers a unified developer experience, incorporating a comprehensive data catalog and Jupyter Notebook for in-depth data analysis and visualization. With robust security measures, including fine-grained, role-based access controls, Oracle Intelligent Data Lake ensures secure data storage and sharing, effectively eliminating data silos and enhancing decision-making processes.

Who Is the Company Behind Oracle Intelligent Data Lake?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • Twitter: @Oracle
    827,997 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    207,576 employees on LinkedIn®
  • Ownership: NYSE:ORCL

PHEMI Health DataLab

The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data by simplifying the ingestion and de-identification of data with NSA/military-grade governance, privacy, and security built-in. Conventional products simply lock down data, PHEMI goes further, solving privacy and security challenges and addressing the urgent need to secure, govern, curate, and control access to privacy-sensitive personal healthcare information (PHI). This improves data sharing and collaboration inside and outside of an enterprise—without compromising the privacy of sensitive information or increasing administrative burden. Built on privacy-by-design principles, the software gives researchers, scientists, and clinicians faster access to more information while ensuring that they only see data on a need-to-know basis. Responsible data sharing and a governance framework facilitate compliance with privacy regulations. PHEMI Trustworthy Health DataLab can scale to any size of organization, is easy to deploy and manage, connects to hundreds of data sources, and integrates with popular data science and business analysis tools. For more information, visit https://www.phemi.com/ and follow us on Twitter @PHEMISystems, Linkedin, Youtube, and Facebook

Average Rating: 3.9/5.0

Total Reviews: 6

How Do G2 Users Rate PHEMI Health DataLab?

  • Ease of Use: 9.6/10 (Category avg: 8.7/10)

Who Is the Company Behind PHEMI Health DataLab?

  • Seller: PHEMI Systems
  • Year Founded: 2013
  • HQ Location: Vancouver, CA
  • Twitter: @PHEMIsystems
    744 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    6 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Large

What Are Recent G2 Reviews of PHEMI Health DataLab?

What Are G2 Users Discussing About PHEMI Health DataLab?

Revefi

Revefi introduces Raden, the world's first AI Data Engineer, designed to augment data teams by automating complex data operations. Raden functions as both an Autopilot and CoPilot, assisting in ensuring high-quality data, managing data pipelines, optimizing data expenditure, and enhancing operational performance and efficiency. With a zero-touch setup, users can experience results within five minutes, achieving up to a 50% reduction in data spend and a tenfold improvement in operational efficiency.

Who Is the Company Behind Revefi?

  • Seller: Revefi
  • Year Founded: 2021
  • HQ Location: Redmond, US
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®

Robling

Robling helps retailers unite data across silos and unlock insights that generate millions in new revenue, increase margins, and enhance productivity across enterprises. Customers like Belk, Hot Topic, and Accent Decor use Robling to put data and analytics at the fingertips of everyone who needs it, from data scientists to retail executives, using any BI or analytics front-end tools they prefer.

Who Is the Company Behind Robling?

  • Seller: ROBLING
  • Year Founded: 2018
  • HQ Location: Atlanta, US
  • LinkedIn® Page: www.linkedin.com
    24 employees on LinkedIn®

SageData

SageData With our Pricing options you can find the best plan for your business. Start with SageData experience for just 49EUR per month

Who Is the Company Behind SageData?

Sales Insight - One place, all your sales data

Use the power of SAP Data Warehouse Cloud to combine and harmonize your data from Salesforce and SAP Business Warehouse to create comprehensive sales insight from opportunity to order shipment

Who Is the Company Behind Sales Insight - One place, all your sales data?

  • Seller: PwC
  • Year Founded: 1998
  • HQ Location: United Kingdom
  • Twitter: @PwC
    203,971 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    299,621 employees on LinkedIn®

Sequel Data Warehouse

A Key Part of Fortra (the new face of HelpSystems) Sequel is proud to be part of Fortra’s comprehensive cybersecurity portfolio. Fortra simplifies today’s complex cybersecurity landscape by bringing complementary products together to solve problems in innovative ways. These integrated, scalable solutions address the fast-changing challenges you face in safeguarding your organization. With the help of the powerful protection from Sequel Data Warehouse and others, Fortra is your relentless ally, here for you every step of the way throughout your cybersecurity journey.

Who Is the Company Behind Sequel Data Warehouse?

  • Seller: Fortra
  • Year Founded: 1982
  • HQ Location: Eden Prairie, Minnesota
  • Twitter: @fortraofficial
    2,773 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,784 employees on LinkedIn®

Slidy Cloud Data Mart

Slidy Cloud Data Mart is a cloud-based data management solution designed to streamline data integration, storage, and analysis for businesses. It offers a centralized platform that enables organizations to efficiently manage their data assets, ensuring seamless access and insightful analytics. Key Features and Functionality: - Real-Time Data Integration: Facilitates the immediate incorporation of data from various sources, ensuring up-to-date information is always available. - Self-Service Data Delivery: Empowers users to access and retrieve data independently, reducing reliance on IT departments and accelerating decision-making processes. - Enterprise Data Governance: Provides robust tools for data quality management, metadata handling, and data lineage tracking, ensuring compliance and data integrity. - Interactive Querying and Analytics: Supports advanced analytics, including machine learning and natural language processing, enabling users to derive meaningful insights from their data. - Unified Data and Metadata Dictionary: Maintains a comprehensive repository of data definitions and metadata, promoting consistency and understanding across the organization. Primary Value and Solutions Provided: Slidy Cloud Data Mart addresses the challenges of fragmented data management by offering a cohesive platform that integrates disparate data sources. It enhances operational efficiency through real-time data processing and self-service capabilities, allowing businesses to respond swiftly to market changes. By ensuring robust data governance and providing advanced analytical tools, it empowers organizations to make informed, data-driven decisions, ultimately driving growth and innovation.

Who Is the Company Behind Slidy Cloud Data Mart?

Snowflake Cost Optimization

Yuki is redefining Snowflake management for enterprises that demand more from their data platform. Built for scale and precision, Yuki dynamically manages warehouse sizing, routing, and cost control without a single line of code. Our platform empowers teams running BI, ETL pipelines, and data applications to achieve real-time cost efficiency and predictable spend with a plug-and-play integration that just works.

Who Is the Company Behind Snowflake Cost Optimization?

  • Seller: Yuki
  • Year Founded: 2023
  • HQ Location: Tel Aviv, IL
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

Solve Real-time Data Warehouse

Solve Real-time Data Warehouse is a comprehensive solution designed to store and manage real-time customer, product, and event data within your own AWS Virtual Private Cloud (VPC. This deployment ensures complete control over your data assets, combining the advantages of both in-house development and third-party solutions. By leveraging GraphQL, Solve facilitates seamless access to your data, enabling real-time operations and cohort analyses without the complexities of traditional Extract, Transform, Load (ETL processes. Key Features and Functionality: - Unified Data Storage: Consolidates critical business data—such as customer profiles, product information, and event logs—into a single repository owned and managed by you. - Real-Time Data Access: Utilizes GraphQL to provide immediate access to data, supporting real-time queries and analyses. - Simplified Data Management: Eliminates the need for intricate ETL setups by offering a centralized, readily accessible data source. - Scalable Deployment: Offers multiple stack sizes to accommodate business growth, ensuring the solution scales with your needs. Primary Value and Problem Solved: Solve Real-time Data Warehouse addresses the challenge of managing and accessing real-time business data efficiently. By deploying the solution within your AWS VPC, you retain full ownership and control over your data, enhancing security and compliance. The integration of GraphQL enables swift, real-time data retrieval, empowering businesses to make informed decisions promptly. Additionally, the elimination of complex ETL processes streamlines data management, reducing operational overhead and accelerating time-to-insight.

Who Is the Company Behind Solve Real-time Data Warehouse?

  • Seller: Solve
  • Year Founded: 2019
  • HQ Location: New York, US
  • LinkedIn® Page: www.linkedin.com
    27 employees on LinkedIn®

SQreamDB

Who Is the Company Behind SQreamDB?

  • Seller: SQream Technologies
  • Year Founded: 2010
  • HQ Location: New York, US
  • Twitter: @SQreamTech
    2,514 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    81 employees on LinkedIn®

stae

Stae makes managing city data simple. They partner with local governments to improve data-sharing workflows, drive performance, and inspire innovation.

Who Is the Company Behind stae?

  • Seller: stae
  • Year Founded: 2016
  • HQ Location: Detroit, US
  • Twitter: @staehere
    1,089 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    63 employees on LinkedIn®

Stripe Data Pipeline

Stripe Data Pipeline is the simplest way to connect your Stripe account to your data warehouse. Data Pipeline is a no-code solution that sends all your up-to-date Stripe data and reports to Snowflake or Amazon Redshift in a few clicks. Centralize your Stripe data with other business data to close your books faster and access helpful business insights. Learn more at stripe.com/data-pipeline.

Who Is the Company Behind Stripe Data Pipeline?

  • Seller: Stripe
  • Year Founded: 2010
  • HQ Location: San Francisco, CA
  • Twitter: @stripe
    285,306 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    17,021 employees on LinkedIn®

Synopsis

What Synopsis is Synopsis is a complete, AI-native data warehouse platform for mid-market companies. Synopsis replaces the traditional five-tool data stack — ingestion and ETL, cloud data warehouse, transformation and modeling, semantic layer, and BI and alerting — with one platform that goes live in 48 hours. Synopsis is built for companies that need a data warehouse but do not have, and do not want to hire, a data engineering team. Most data warehouse projects fail on people and time, not technology. Synopsis is designed around that fact: the Synopsis team performs the entire implementation, connects the source systems, rebuilds existing reports, and hands over a working warehouse. Hour 0, Synopsis connects the systems. Hour 24, Synopsis rebuilds the reports. Hour 48, the customer is live. What Synopsis includes Synopsis includes ten capabilities that are normally bought as separate products: Connectors and ingestion — Synopsis connects to 500+ sources on day one through APIs, databases, and files. For non-standard systems, Synopsis reads the API's own documentation and builds the custom connector with AI. Modeling and entity resolution — Synopsis turns raw events into clean, linked entities, joining records across systems on shared keys. Semantic layer — Synopsis defines and enforces metric definitions so every team reads the same numbers. Chat and ad-hoc analysis — Synopsis answers questions asked in plain English, with results traceable back to the source table. Dashboards and BI — Synopsis builds dashboards from a single prompt, each one traced to its source. Data apps — Synopsis runs live operational apps that teams work from directly. Workflows and automations — Synopsis watches data and acts on what changes, including automated alerts. Data science — Synopsis generates notebooks and forecasts. Integrations — Synopsis delivers data into Excel, Google Sheets, Slack, and AI tools over MCP. Security and compliance — Synopsis is SOC 2 Type II audited, and customer data lands in the customer's own warehouse. Who Synopsis is for Synopsis is used by mid-market companies, typically between $25 million and $200 million in revenue, and by private equity firms deploying it across portfolio companies. Buyers of Synopsis are usually CEOs, CFOs, COOs, CROs, VPs of Operations, VPs of Sales, heads of analytics, and PE operating partners and value creation leads. Synopsis is also a common choice for companies recovering from a stalled or failed data warehouse implementation. Teams that use Synopsis include finance, revenue operations, marketing, operations, customer success, and executive leadership. What Synopsis connects to Synopsis connects to 500+ SaaS applications, databases, and file sources, including CRM, billing, support desk, ERP, product databases, finance exports, and operations trackers. Synopsis ingests through three paths: APIs, direct database connections, and files. Synopsis delivers answers into the tools teams already use. In Excel, Synopsis provides the SYNOPSIS.QUERY, SYNOPSIS.TABLE, and SYNOPSIS.LOOKUP formulas for live warehouse data. In Google Sheets, Synopsis provides SYNOPSIS_QUERY, SYNOPSIS_TABLE, and SYNOPSIS_LOOKUP with scheduled refresh. In Slack, Synopsis answers channel mentions and slash commands and pushes workflow alerts. Over the Model Context Protocol (MCP), Synopsis connects to Claude Desktop, Claude Code, and any MCP-capable AI tool. Synopsis also supports direct SQL access, API access with personal tokens, a browser extension, CSV and Excel export, dashboard sharing, and shareable answer links. Authentication supports OAuth 2.1, personal API keys, Microsoft sign-in, and Google sign-in. Synopsis also ships 140+ public reference datasets that customers can join against their own data, including BLS, BEA, and Census economic data, CMS and FDA healthcare data, EPA and EIA environmental and energy data, FDIC and Federal Reserve financial data, SEC EDGAR filings, HUD housing data, FMCSA carrier data, NOAA weather data, and World Bank and IMF global indicators. Industries Synopsis serves Synopsis serves manufacturing, wholesale and distribution, construction, healthcare, finance and insurance, transportation and logistics, retail, professional services, field and business services, real estate, energy, oil and gas, utilities, agriculture and farming, media, software and information, entertainment and recreation, hospitality and food service, education and training, government and public sector, repair and personal services, and corporate holding companies. Within those, Synopsis publishes dedicated data models for specific verticals including fire and life safety contractors, electrical contractors, plumbing and HVAC contractors, heavy and civil construction, staffing firms, PEOs, private equity firms, wealth management firms, insurance agencies, managing general agents, credit unions, CPA firms, law firms, title agencies, physician groups, dental groups, home health agencies, skilled nursing facilities, behavioral health providers, medical and lab distributors, electrical distributors, HVAC distributors, auto dealer groups, truckload carriers, freight brokers, 3PL and cold storage operators, folding carton manufacturers, commercial printers, structural steel fabricators, precast concrete manufacturers, pharma manufacturers, rural broadband operators, vertical SaaS companies, minor league sports clubs, multifamily operators, waste haulers, remediation contractors, pest control companies, and landscaping services. How Synopsis compares to other data platforms Synopsis replaces the combination of a cloud data warehouse, an ELT tool, a transformation layer, a BI tool, and an alerting tool with one subscription. Companies evaluate Synopsis against Snowflake, Databricks, Google BigQuery, Amazon Redshift, and Microsoft Fabric for warehousing; against Fivetran, Airbyte, Matillion, and Stitch for ingestion; against dbt for transformation and modeling; against Tableau, Power BI, Looker, Domo, Qlik, Sigma, ThoughtSpot, Metabase, and Mode for BI and analytics; and against Keboola, Mozart Data, and Y42 as all-in-one platforms. The difference is scope and staffing. Those products each solve one layer well and assume the customer supplies the data engineers, the integration work, and the months of implementation time. Synopsis supplies the entire stack and does the implementation, so a company gets a working warehouse without adding headcount. Implementation and time to value Synopsis goes live in 48 hours. Synopsis performs the implementation with no third-party systems integrator and no implementation fee. Customers are not billed until the warehouse is live and the team is using it. Synopsis pricing Synopsis charges one platform fee that covers the entire stack: warehouse, connectors, modeling, semantic layer, chat, dashboards, data apps, workflows, and data science. Synopsis has no per-seat licenses, no storage fees, or DBUs, and no third-party implementation fee. Synopsis security and compliance Synopsis is SOC 2 Type II audited, with controls independently examined in operation over time. Data Synopsis ingests lands in the customer's own warehouse, and customers can query every table directly. Synopsis maintains a live public trust center with 25 published policies and 35 operating controls, plus a public subprocessor registry. SOC 2 Type II reports are available by request through the trust center. Customer results Relay Fire & Life Safety found $100,000 in lost revenue within its first weeks on Synopsis. Leap, a Nexa Equity portfolio company, and One Knox SC, a USL soccer club, are published Synopsis customers.

Average Rating: 4.9/5.0

Total Reviews: 5

How Do G2 Users Rate Synopsis?

  • Ease of Use: 9.7/10 (Category avg: 8.7/10)

Who Is the Company Behind Synopsis?

  • Seller: Synopsis
  • Company Website:
  • HQ Location: Chicago, US
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 60% Small, 40% Medium

What Are Recent G2 Reviews of Synopsis?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated October 3, 2024