Altair Knowledge Studio and Dremio are products competing in data analytics. Dremio seems to have the upper hand due to its advanced data capabilities, which many find worth the investment.
Features: Altair Knowledge Studio is notable for intuitive data mining, accessible predictive modeling, and a user-friendly approach. Dremio provides a powerful data lakehouse platform, complex data integration, and advanced analytics capabilities, which efficiently handle large data operations.
Ease of Deployment and Customer Service: Altair Knowledge Studio offers an easy deployment process with reliable support. Dremio requires more technical expertise for deployment but offers powerful performance once set up and robust customer service.
Pricing and ROI: Altair Knowledge Studio has competitive pricing aimed at quick ROI with streamlined tools. Dremio involves higher initial costs but promises substantial returns with its extensive capabilities and scalability.
| Product | Market Share (%) |
|---|---|
| Dremio | 2.3% |
| Altair Knowledge Studio | 1.1% |
| Other | 96.6% |
| Company Size | Count |
|---|---|
| Small Business | 1 |
| Midsize Enterprise | 5 |
| Large Enterprise | 5 |
Business intelligence and predictive analytics software suite from Angoss Software Corporation. KnowledgeSTUDIO is a market-leading business intelligence software product with data mining and predictive analytics capabilities including data profiling, advanced data visualization, advanced modeling, unsupervised learning, decision tree and strategy design functionality.
Dremio offers a comprehensive platform for data warehousing and data engineering, integrating seamlessly with data storage systems like Amazon S3 and Azure. Its main features include scalability, query federation, and data reflection.
Dremio's core strength lies in its ability to function as a robust data lake query engine and data warehousing solution. It facilitates the creation of complex queries with ease, thanks to its support for Apache Airflow and query federation across endpoints. Despite challenges with Delta connector support, complex query execution, and expensive licensing, users find it valuable for managing ad-hoc queries and financial data analytics. The platform aids in SQL table management and BI traffic visualization while reducing storage costs and resolving storage conflicts typical in traditional data warehouses.
What are Dremio's most valuable features?Dremio is primarily implemented in industries requiring extensive data engineering and analytics, including finance and technology. Companies use it for constructing data frameworks, efficiently processing financial analytics, and visualizing BI traffic. It acts as a viable alternative to AWS Glue and Apache Hive, integrating seamlessly with multiple databases, including Oracle and MySQL, offering robust solutions for data-driven strategies. Despite some challenges, its ability to reduce data storage costs and manage complex queries makes it a favorable choice among enterprise users.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
