Best Data Warehouse Software for SQL
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Compare the Top Data Warehouse Software that integrates with SQL as of July 2025
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This a list of Data Warehouse software that integrates with SQL. Use the filters on the left to add additional filters for products that have integrations with SQL. View the products that work with SQL in the table below.
What is Data Warehouse Software for SQL?
Data warehouse software helps organizations store, manage, and analyze large volumes of data from different sources in a centralized, structured repository. These systems support the extraction, transformation, and loading (ETL) of data from multiple databases and applications into the warehouse, ensuring that the data is cleaned, formatted, and organized for business intelligence and analytics purposes. Data warehouse software typically includes features such as data integration, querying, reporting, and advanced analytics to help businesses derive insights from historical data. It is commonly used for decision-making, forecasting, and performance tracking, making it essential for industries like finance, healthcare, retail, and manufacturing. Compare and read user reviews of the best Data Warehouse software for SQL currently available using the table below. This list is updated regularly.
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1
Google Cloud BigQuery
Google
As a fully managed data warehouse solution, BigQuery allows businesses to store and analyze large volumes of data in a secure, scalable environment. Its serverless architecture eliminates the need for infrastructure management, enabling users to focus on data analysis instead of system maintenance. BigQuery’s highly efficient query engine ensures fast performance even with massive datasets, making it ideal for organizations of all sizes. New customers receive $300 in free credits, giving them the opportunity to test BigQuery’s features and determine how it can support their data storage and analytics needs. The platform’s ability to scale effortlessly makes it particularly well-suited for dynamic, high-growth organizations.Starting Price: Free ($300 in free credits) -
2
AnalyticsCreator
AnalyticsCreator
Accelerate the development of your data warehouses by automating complex model designs, including dimensional, data mart, and data vault architectures. AnalyticsCreator enhances scalability for large data environments and ensures better governance through its automated features. Generate optimized code for leading platforms such as Snowflake, Azure Synapse, and MS Fabric. Improve data quality, consistency, and governance throughout the data warehouse lifecycle with automated tools for schema evolution and historical data handling. Enhance collaboration with version control and automated documentation, enabling seamless teamwork and rapid iteration. Leverage AnalyticsCreator to meet the demands of modern data warehouse development with CI/CD and agile workflows, reducing development cycles significantly. -
3
Snowflake
Snowflake
Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates enterprise AI by providing secure access to leading large language models (LLMs) and data chat services. The platform’s cloud services automate complex resource management, ensuring reliability and cost efficiency. Trusted by over 11,000 global customers across industries, Snowflake helps businesses collaborate on data, build data applications, and maintain a competitive edge.Starting Price: $2 compute/month -
4
Peliqan
Peliqan
Peliqan.io is an all-in-one data platform for business teams, startups, scale-ups and IT service companies - no data engineer needed. Easily connect to databases, data warehouses and SaaS business applications. Explore and combine data in a spreadsheet UI. Business users can combine data from multiple sources, clean the data, make edits in personal copies and apply transformations. Power users can use "SQL on anything" and developers can use low-code to build interactive data apps, implement writebacks and apply machine learning. Key Features: Wide range of connectors: Integrates with over 100+ data sources and applications. Spreadsheet UI and magical SQL: Explore data in a rich spreadsheet UI. Use Magical SQL to combine and transform data. Use your favorite BI tool such as Microsoft Power BI or Metabase. Data Activation: Create data apps in minutes. Implement data alerts, distribute custom reports by email (PDF, Excel) , implement Reverse ETL flows and much more.Starting Price: $199 -
5
Onehouse
Onehouse
The only fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines at scale, for a fraction of the cost. Ingest from databases and event streams at TB-scale in near real-time, with the simplicity of fully managed pipelines. Query your data with any engine, and support all your use cases including BI, real-time analytics, and AI/ML. Cut your costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing. Deploy in minutes without engineering overhead with a fully managed, highly optimized cloud service. Unify your data in a single source of truth and eliminate the need to copy data across data warehouses and lakes. Use the right table format for the job, with omnidirectional interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Quickly configure managed pipelines for database CDC and streaming ingestion. -
6
Databricks Data Intelligence Platform
Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker. -
7
Baidu Palo
Baidu AI Cloud
Palo helps enterprises to create the PB-level MPP architecture data warehouse service within several minutes and import the massive data from RDS, BOS, and BMR. Thus, Palo can perform the multi-dimensional analytics of big data. Palo is compatible with mainstream BI tools. Data analysts can analyze and display the data visually and gain insights quickly to assist decision-making. It has the industry-leading MPP query engine, with column storage, intelligent index,and vector execution functions. It can also provide in-library analytics, window functions, and other advanced analytics functions. You can create a materialized view and change the table structure without the suspension of service. It supports flexible and efficient data recovery. -
8
SQream
SQream
SQream is a GPU-accelerated data analytics platform that enables organizations to process large, complex datasets with unprecedented speed and efficiency. By leveraging NVIDIA's GPU technology, SQream executes intricate SQL queries on vast datasets rapidly, transforming hours-long processes into minutes. It offers dynamic scalability, allowing businesses to seamlessly scale their data operations in line with growth, without disrupting analytics workflows. SQream's architecture supports deployments that provide flexibility to meet diverse infrastructure needs. Designed for industries such as telecom, manufacturing, finance, advertising, and retail, SQream empowers data teams to gain deep insights, foster data democratization, and drive innovation, all while significantly reducing costs. -
9
Dremio
Dremio
Dremio delivers lightning-fast queries and a self-service semantic layer directly on your data lake storage. No moving data to proprietary data warehouses, no cubes, no aggregation tables or extracts. Just flexibility and control for data architects, and self-service for data consumers. Dremio technologies like Data Reflections, Columnar Cloud Cache (C3) and Predictive Pipelining work alongside Apache Arrow to make queries on your data lake storage very, very fast. An abstraction layer enables IT to apply security and business meaning, while enabling analysts and data scientists to explore data and derive new virtual datasets. Dremio’s semantic layer is an integrated, searchable catalog that indexes all of your metadata, so business users can easily make sense of your data. Virtual datasets and spaces make up the semantic layer, and are all indexed and searchable.
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