# Top 10 EXASOL Alternatives & Competitors **Average Rating:** 4.7/5 **Total Number of Reviews:** 28 Explore the best alternatives to EXASOL for users who need new software features or want to try different solutions. Big Data Analytics Software is a widely used technology, and many people are seeking user friendly, time saving software solutions with notebooks, embedded analytics, and spark integration. Other important factors to consider when researching alternatives to EXASOL include performance and reporting. The best overall EXASOL alternative is Snowflake. Other similar apps like EXASOL are Google Cloud BigQuery, Azure Databricks, Amazon Redshift, and Teradata Autonomous Knowledge Platform. EXASOL alternatives can be found in [Big Data Analytics Software](https://www.g2.com/categories/big-data-analytics) but may also be in [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) or [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution). ## Best Paid & Free Alternatives to EXASOL - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - [MATLAB](https://www.g2.com/products/matlab/reviews) - [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) - [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews) ## Top 10 Alternatives to EXASOL Recently Reviewed By G2 Community Browse options below. Based on reviewer data, you can see how EXASOL stacks up to the competition, check reviews from current & previous users in industries like Financial Services, Information Technology and Services, and Consumer Services, and find the best product for your business. ### 1. [Snowflake](https://www.g2.com/products/snowflake/reviews) By Snowflake, Inc. **Average Rating:** 4.5/5 **Total Reviews:** 763 Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience. Reviewers say compared to EXASOL, Snowflake is: - Slower to reach roi - More expensive - Easier to set up Categories in common with EXASOL: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Data Warehouse](https://www.g2.com/categories/data-warehouse) **Compare:** [EXASOL vs Snowflake](https://www.g2.com/compare/exasol-vs-snowflake) **Compare Snowflake with other alternatives:** - [Snowflake vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake) - [Snowflake vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-snowflake) - [Snowflake vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-snowflake) - [Snowflake vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/snowflake-vs-teradata-autonomous-knowledge-platform) - [Snowflake vs Databricks](https://www.g2.com/compare/databricks-vs-snowflake) - [Snowflake vs Alteryx](https://www.g2.com/compare/alteryx-vs-snowflake) - [Snowflake vs MATLAB](https://www.g2.com/compare/matlab-vs-snowflake) - [Snowflake vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-snowflake) - [Snowflake vs Splunk Enterprise](https://www.g2.com/compare/snowflake-vs-splunk-enterprise) ### 2. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) By Google **Average Rating:** 4.5/5 **Total Reviews:** 1,224 Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data. Reviewers say compared to EXASOL, Google Cloud BigQuery is: - Slower to reach roi - More expensive - Easier to set up Categories in common with EXASOL: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Data Warehouse](https://www.g2.com/categories/data-warehouse) **Compare:** [EXASOL vs Google Cloud BigQuery](https://www.g2.com/compare/exasol-vs-google-cloud-bigquery) **Compare Google Cloud BigQuery with other alternatives:** - [Google Cloud BigQuery vs Snowflake](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake) - [Google Cloud BigQuery vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/google-cloud-bigquery-vs-teradata-autonomous-knowledge-platform) - [Google Cloud BigQuery vs Databricks](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs Alteryx](https://www.g2.com/compare/alteryx-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs MATLAB](https://www.g2.com/compare/google-cloud-bigquery-vs-matlab) - [Google Cloud BigQuery vs IBM Db2](https://www.g2.com/compare/google-cloud-bigquery-vs-ibm-db2) - [Google Cloud BigQuery vs Splunk Enterprise](https://www.g2.com/compare/google-cloud-bigquery-vs-splunk-enterprise) ### 3. [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) By Microsoft **Average Rating:** 4.5/5 **Total Reviews:** 239 Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala. By leveraging Azure Databricks, organizations can efficiently process large-scale data, perform advanced analytics, and build AI solutions, all while benefiting from the scalability and security of Azure. Key Features and Functionality: - Lakehouse Architecture: Combines the best elements of data lakes and data warehouses, enabling unified data storage and analytics. - Collaborative Notebooks: Interactive workspaces that support multiple languages, facilitating teamwork among data engineers, data scientists, and analysts. - Optimized Apache Spark Engine: Enhances performance for big data processing tasks, ensuring faster and more reliable analytics. - Delta Lake Integration: Provides ACID transactions and scalable metadata handling, improving data reliability and consistency. - Seamless Azure Integration: Offers native connectivity to Azure services like Power BI, Azure Data Lake Storage, and Azure Synapse Analytics, streamlining data workflows. - Advanced Machine Learning Support: Includes pre-configured environments for machine learning and AI development, with support for popular frameworks and libraries. Primary Value and Solutions Provided: Azure Databricks addresses the challenges of managing and analyzing vast amounts of data by offering a scalable and collaborative platform that unifies data engineering, data science, and machine learning. It simplifies complex data workflows, accelerates time-to-insight, and enables the development of AI-driven solutions. By integrating seamlessly with Azure services, it ensures secure and efficient data processing, helping organizations make data-driven decisions and innovate rapidly. Reviewers say compared to EXASOL, Azure Databricks is: - Slower to reach roi - More expensive - Easier to set up Categories in common with EXASOL: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [EXASOL vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-exasol) **Compare Azure Databricks with other alternatives:** - [Azure Databricks vs Snowflake](https://www.g2.com/compare/azure-databricks-vs-snowflake) - [Azure Databricks vs Google Cloud BigQuery](https://www.g2.com/compare/azure-databricks-vs-google-cloud-bigquery) - [Azure Databricks vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-azure-databricks) - [Azure Databricks vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/azure-databricks-vs-teradata-autonomous-knowledge-platform) - [Azure Databricks vs Databricks](https://www.g2.com/compare/azure-databricks-vs-databricks) - [Azure Databricks vs Alteryx](https://www.g2.com/compare/alteryx-vs-azure-databricks) - [Azure Databricks vs MATLAB](https://www.g2.com/compare/azure-databricks-vs-matlab) - [Azure Databricks vs IBM Db2](https://www.g2.com/compare/azure-databricks-vs-ibm-db2) - [Azure Databricks vs Splunk Enterprise](https://www.g2.com/compare/azure-databricks-vs-splunk-enterprise) ### 4. [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) By Amazon Web Services (AWS) **Average Rating:** 4.3/5 **Total Reviews:** 404 Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools. Reviewers say compared to EXASOL, Amazon Redshift is: - Slower to reach roi - More expensive Categories in common with EXASOL: [Data Warehouse](https://www.g2.com/categories/data-warehouse) **Compare:** [EXASOL vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-exasol) **Compare Amazon Redshift with other alternatives:** - [Amazon Redshift vs Snowflake](https://www.g2.com/compare/amazon-redshift-vs-snowflake) - [Amazon Redshift vs Google Cloud BigQuery](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery) - [Amazon Redshift vs Azure Databricks](https://www.g2.com/compare/amazon-redshift-vs-azure-databricks) - [Amazon Redshift vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/amazon-redshift-vs-teradata-autonomous-knowledge-platform) - [Amazon Redshift vs Databricks](https://www.g2.com/compare/amazon-redshift-vs-databricks) - [Amazon Redshift vs Alteryx](https://www.g2.com/compare/alteryx-vs-amazon-redshift) - [Amazon Redshift vs MATLAB](https://www.g2.com/compare/amazon-redshift-vs-matlab) - [Amazon Redshift vs IBM Db2](https://www.g2.com/compare/amazon-redshift-vs-ibm-db2) - [Amazon Redshift vs Splunk Enterprise](https://www.g2.com/compare/amazon-redshift-vs-splunk-enterprise) ### 5. [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) By Teradata Autonomous Knowledge Platform **Average Rating:** 4.3/5 **Total Reviews:** 376 Teradata Autonomous Knowledge Platform easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment. Reviewers say compared to EXASOL, Teradata Autonomous Knowledge Platform is: - Slower to reach roi - More expensive Categories in common with EXASOL: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Data Warehouse](https://www.g2.com/categories/data-warehouse) **Compare:** [EXASOL vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/exasol-vs-teradata-autonomous-knowledge-platform) **Compare Teradata Autonomous Knowledge Platform with other alternatives:** - [Teradata Autonomous Knowledge Platform vs Snowflake](https://www.g2.com/compare/snowflake-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Databricks](https://www.g2.com/compare/databricks-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Alteryx](https://www.g2.com/compare/alteryx-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs MATLAB](https://www.g2.com/compare/matlab-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Splunk Enterprise](https://www.g2.com/compare/splunk-enterprise-vs-teradata-autonomous-knowledge-platform) ### 6. [Databricks](https://www.g2.com/products/databricks/reviews) By Databricks Inc. **Average Rating:** 4.6/5 **Total Reviews:** 1,366 Making big data simple Reviewers say compared to EXASOL, Databricks is: - Slower to reach roi - More expensive Categories in common with EXASOL: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Data Warehouse](https://www.g2.com/categories/data-warehouse) **Compare:** [EXASOL vs Databricks](https://www.g2.com/compare/databricks-vs-exasol) **Compare Databricks with other alternatives:** - [Databricks vs Snowflake](https://www.g2.com/compare/databricks-vs-snowflake) - [Databricks vs Google Cloud BigQuery](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery) - [Databricks vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-databricks) - [Databricks vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-databricks) - [Databricks vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/databricks-vs-teradata-autonomous-knowledge-platform) - [Databricks vs Alteryx](https://www.g2.com/compare/alteryx-vs-databricks) - [Databricks vs MATLAB](https://www.g2.com/compare/databricks-vs-matlab) - [Databricks vs IBM Db2](https://www.g2.com/compare/databricks-vs-ibm-db2) - [Databricks vs Splunk Enterprise](https://www.g2.com/compare/databricks-vs-splunk-enterprise) ### 7. [Alteryx](https://www.g2.com/products/alteryx/reviews) By Alteryx **Average Rating:** 4.6/5 **Total Reviews:** 894 Alteryx drives transformational business outcomes through unified analytics, data science, and process automation. Reviewers say compared to EXASOL, Alteryx is: - Slower to reach roi - More expensive Categories in common with EXASOL: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [EXASOL vs Alteryx](https://www.g2.com/compare/alteryx-vs-exasol) **Compare Alteryx with other alternatives:** - [Alteryx vs Snowflake](https://www.g2.com/compare/alteryx-vs-snowflake) - [Alteryx vs Google Cloud BigQuery](https://www.g2.com/compare/alteryx-vs-google-cloud-bigquery) - [Alteryx vs Azure Databricks](https://www.g2.com/compare/alteryx-vs-azure-databricks) - [Alteryx vs Amazon Redshift](https://www.g2.com/compare/alteryx-vs-amazon-redshift) - [Alteryx vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/alteryx-vs-teradata-autonomous-knowledge-platform) - [Alteryx vs Databricks](https://www.g2.com/compare/alteryx-vs-databricks) - [Alteryx vs MATLAB](https://www.g2.com/compare/alteryx-vs-matlab) - [Alteryx vs IBM Db2](https://www.g2.com/compare/alteryx-vs-ibm-db2) - [Alteryx vs Splunk Enterprise](https://www.g2.com/compare/alteryx-vs-splunk-enterprise) ### 8. [MATLAB](https://www.g2.com/products/matlab/reviews) By MathWorks **Average Rating:** 4.5/5 **Total Reviews:** 771 MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data. - Graphics: Functions for visualizing and exploring data through various plots and charts. - Programming: Capabilities to create scripts, functions, and classes for customized workflows. - App Building: Facilities to develop desktop and web applications. - External Language Interfaces: Integration with languages such as Python, C/C++, Fortran, and Java. - Hardware Connectivity: Support for connecting MATLAB to various hardware platforms. - Parallel Computing: Ability to perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and cloud resources. - Deployment: Options to share MATLAB programs and deploy them to enterprise applications, embedded devices, and cloud environments. Primary Value and User Solutions: MATLAB streamlines complex mathematical computations and data analysis tasks, enabling users to develop algorithms and models efficiently. Its comprehensive toolboxes and interactive apps facilitate rapid prototyping and iterative design, reducing development time. The platform's scalability allows for seamless transition from research to production, supporting deployment on various systems without extensive code modifications. By integrating with multiple programming languages and hardware platforms, MATLAB provides a versatile environment that addresses the diverse needs of engineers and scientists across industries. Reviewers say compared to EXASOL, MATLAB is: - Slower to reach roi - More expensive - Easier to set up Categories in common with EXASOL: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [EXASOL vs MATLAB](https://www.g2.com/compare/exasol-vs-matlab) **Compare MATLAB with other alternatives:** - [MATLAB vs Snowflake](https://www.g2.com/compare/matlab-vs-snowflake) - [MATLAB vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-matlab) - [MATLAB vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-matlab) - [MATLAB vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-matlab) - [MATLAB vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/matlab-vs-teradata-autonomous-knowledge-platform) - [MATLAB vs Databricks](https://www.g2.com/compare/databricks-vs-matlab) - [MATLAB vs Alteryx](https://www.g2.com/compare/alteryx-vs-matlab) - [MATLAB vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-matlab) - [MATLAB vs Splunk Enterprise](https://www.g2.com/compare/matlab-vs-splunk-enterprise) ### 9. [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) By IBM **Average Rating:** 4.1/5 **Total Reviews:** 683 IBM® Db2® is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs. Reviewers say compared to EXASOL, IBM Db2 is: - Slower to reach roi - More expensive Categories in common with EXASOL: [Data Warehouse](https://www.g2.com/categories/data-warehouse) **Compare:** [EXASOL vs IBM Db2](https://www.g2.com/compare/exasol-vs-ibm-db2) **Compare IBM Db2 with other alternatives:** - [IBM Db2 vs Snowflake](https://www.g2.com/compare/ibm-db2-vs-snowflake) - [IBM Db2 vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-ibm-db2) - [IBM Db2 vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-ibm-db2) - [IBM Db2 vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-ibm-db2) - [IBM Db2 vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/ibm-db2-vs-teradata-autonomous-knowledge-platform) - [IBM Db2 vs Databricks](https://www.g2.com/compare/databricks-vs-ibm-db2) - [IBM Db2 vs Alteryx](https://www.g2.com/compare/alteryx-vs-ibm-db2) - [IBM Db2 vs MATLAB](https://www.g2.com/compare/ibm-db2-vs-matlab) - [IBM Db2 vs Splunk Enterprise](https://www.g2.com/compare/ibm-db2-vs-splunk-enterprise) ### 10. [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews) By Cisco **Average Rating:** 4.3/5 **Total Reviews:** 434 Splunk is a software platform for machine data that enables customers to gain real-time Operational Intelligence. Reviewers say compared to EXASOL, Splunk Enterprise is: - Slower to reach roi - More expensive Categories in common with EXASOL: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [EXASOL vs Splunk Enterprise](https://www.g2.com/compare/exasol-vs-splunk-enterprise) **Compare Splunk Enterprise with other alternatives:** - [Splunk Enterprise vs Snowflake](https://www.g2.com/compare/snowflake-vs-splunk-enterprise) - [Splunk Enterprise vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-splunk-enterprise) - [Splunk Enterprise vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-splunk-enterprise) - [Splunk Enterprise vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-splunk-enterprise) - [Splunk Enterprise vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/splunk-enterprise-vs-teradata-autonomous-knowledge-platform) - [Splunk Enterprise vs Databricks](https://www.g2.com/compare/databricks-vs-splunk-enterprise) - [Splunk Enterprise vs Alteryx](https://www.g2.com/compare/alteryx-vs-splunk-enterprise) - [Splunk Enterprise vs MATLAB](https://www.g2.com/compare/matlab-vs-splunk-enterprise) - [Splunk Enterprise vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-splunk-enterprise) --- ## EXASOL Alternatives FAQs ### How does EXASOL compare to Snowflake? According to G2 data, [EXASOL](https://www.g2.com/products/exasol/reviews) holds a higher average rating of 4.7/5 from 28 reviews compared to [Snowflake](https://www.g2.com/products/snowflake/reviews)'s 4.5/5 from 755 reviews. EXASOL scores notably higher in meeting requirements (9.6 vs 9.1), ease of administration (9.4 vs 8.7), support (9.4 vs 8.7), and ease of doing business with (9.7 vs 9.0), while Snowflake leads slightly in ease of setup (9.0 vs 8.6) and matches usability (9.0 vs 9.0). User reviews highlight EXASOL's exceptional query performance, with multiple mentions of unparalleled speed and efficient in-memory processing, making it ideal for highly analytical workloads. EXASOL also offers AI integration capabilities allowing execution of machine learning models directly within the database. However, EXASOL has a smaller ecosystem and fewer third-party integrations compared to Snowflake. Snowflake excels in ease of use, scalability, and a broad feature set, including separation of compute and storage, enabling independent scaling and cost efficiency. It supports structured and semi-structured data with strong integration into BI and ETL tools. Snowflake's fully managed SaaS model reduces maintenance overhead, and its AI features like Cortex enhance data analysis. Users praise its seamless data sharing, multi-cluster concurrency, and extensive ecosystem. ### What are the best alternatives to EXASOL? The best alternatives to EXASOL based on user ratings and review counts include [Snowflake](https://www.g2.com/products/snowflake/reviews) (4.5/5 stars, 755 reviews), [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) (4.5/5 stars, 1227 reviews), [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) (4.5/5 stars, 236 reviews), [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) (4.3/5 stars, 402 reviews), and [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) (4.3/5 stars, 375 reviews). These alternatives are highly rated and widely used in the Big Data Analytics category. ### What features do alternatives offer that EXASOL does not? Alternatives to EXASOL offer features such as native Data Workflow and Governed Discovery capabilities, which EXASOL lacks. Specifically, Google Cloud BigQuery, Azure Databricks, Teradata Autonomous Knowledge Platform, Alteryx, and Splunk Enterprise provide these advanced data governance and workflow management features natively. ### Which Big Data Analytics tools do reviewers recommend instead of EXASOL? Reviewers recommend [Snowflake](https://www.g2.com/products/snowflake/reviews) for its ease of use, scalability, and strong integration capabilities, with 183 mentions of ease of use and 99 mentions of scalability. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) is favored for its fast query performance, serverless architecture, and seamless integration with Google Cloud services, with 129 mentions of ease of use and 126 mentions of speed. [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) is praised for its unified analytics platform, collaborative notebooks, and integration with Azure services. [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) is recommended for its fast query execution, scalability, and tight integration with AWS services. [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) is valued for its high performance, scalability, and ability to handle large datasets efficiently. These tools are preferred for their comprehensive features, performance, and ecosystem integrations that support large-scale data analytics and AI workloads. ### Why do users choose Snowflake over EXASOL? Users choose [Snowflake](https://www.g2.com/products/snowflake/reviews) over EXASOL primarily for its ease of use, scalability, and comprehensive feature set. Snowflake's cloud-native architecture with separation of compute and storage allows independent scaling, which improves performance and cost efficiency. Its fully managed SaaS model minimizes infrastructure management and administrative overhead, making it attractive for organizations seeking operational simplicity. Snowflake supports a wide range of data types, including structured and semi-structured data like JSON, and integrates seamlessly with popular BI and ETL tools such as Power BI, Tableau, and dbt. Its secure data sharing capabilities enable collaboration across teams and external partners without data duplication. Additionally, Snowflake's AI and machine learning features, including Cortex AI, accelerate data analysis and reduce development time. The extensive ecosystem, large user base, and strong support infrastructure provide users with confidence and resources. Despite some concerns about cost management and a learning curve for advanced features, Snowflake's flexibility, ease of setup, and robust integrations make it the preferred choice for many users seeking a scalable, user-friendly, and feature-rich cloud data platform according to G2 reviews. ## Explore Articles - [Which cloud directory services simplify managing user access across Windows, macOS and Linux devices from one dashboard without three separate management tools?](https://www.g2.com/discussions/which-cloud-directory-services-simplify-managing-user-access-across-windows-macos-and-linux-devices-from-one-dashboard-without-three-separate-management-tools) - [Which Quote-to-Cash platforms support multi-currency transactions and tax compliance for a company selling internationally without a different tool for each region?](https://www.g2.com/discussions/which-quote-to-cash-platforms-support-multi-currency-transactions-and-tax-compliance-for-a-company-selling-internationally-without-a-different-tool-for-each-region) - [Most recommended sales software for small businesses](https://www.g2.com/discussions/most-recommended-sales-software-for-small-businesses) - [Best ATS app for recruiting in software industry](https://www.g2.com/discussions/best-ats-app-for-recruiting-in-the-software-industry) - [Top-rated estimating platforms for large construction firms](https://www.g2.com/discussions/which-estimating-platforms-are-top-rated-for-large-construction-firms) - [Which cloud kitchen management platforms integrate with existing POS systems and delivery partner APIs without requiring custom development?](https://www.g2.com/discussions/which-cloud-kitchen-management-platforms-integrate-with-existing-pos-systems-and-delivery-partner-apis-without-requiring-custom-development) ## Spotlight Categories - [Video Conferencing Software](https://www.g2.com/categories/video-conferencing) - [VoIP Providers](https://www.g2.com/categories/voip) - [SaaS Backup Software](https://www.g2.com/categories/saas-backup)