Amazon EMR and Dremio are competing platforms in the big data processing and analytics category. Amazon EMR seems to have the upper hand due to its seamless integration with other AWS services and its scalability features.
Features: Amazon EMR provides a scalable and cost-effective platform for data processing that integrates with Hadoop and HDFS, leverages Amazon's EC2 and S3 for storage, and requires no manual IT management. Users find setup straightforward with the flexibility to scale for large data tasks. Dremio excels at sitting on various data storages, managing data changes efficiently, and supporting the creation of views and data structures. It connects easily with various databases and is noted for scalability and integration capabilities.
Room for Improvement: Amazon EMR could improve the ease of task setting, user onboarding, and web interface support. The initial configuration is complex, prompting user calls for speed and cost management improvements. Dremio needs better Delta connector support, documentation, and optimization for large queries. Enhanced integration with platforms like Databricks and improved SQL capabilities are also desired.
Ease of Deployment and Customer Service: Amazon EMR is mostly deployed on a public cloud with mixed customer service reviews, though some report effective support. Dremio supports hybrid and on-premise deployment with customer service described as inconsistent but generally satisfactory.
Pricing and ROI: Both Amazon EMR and Dremio costs vary by usage. Amazon EMR pricing is linked to EC2 usage, which can cause surprises if not managed, yet users find it valuable for managed services. Dremio is less costly than some competitors but has high licensing costs for extra features. Both offer potential ROI for businesses moving from on-premise solutions.
| Product | Market Share (%) |
|---|---|
| Dremio | 9.4% |
| Amazon EMR | 3.3% |
| Other | 87.3% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 5 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 1 |
| Midsize Enterprise | 3 |
| Large Enterprise | 4 |
Dremio is a data analytics platform designed to simplify and expedite the data analysis process by enabling direct querying across multiple data sources without the need for data replication. This solution stands out due to its approach to data lake transformation, offering tools that allow users to access and query data stored in various formats and locations as if it were all in a single relational database.
At its core, Dremio facilitates a more streamlined data management experience. It integrates easily with existing data lakes, allowing organizations to continue using their storage of choice, such as AWS S3, Microsoft ADLS, or Hadoop, without data migration. Dremio supports SQL queries, which means it seamlessly integrates with familiar BI tools and data science frameworks, enhancing user accessibility and reducing the learning curve typically associated with adopting new data technologies.
What Are Dremio's Key Features?
What Benefits Should Users Expect?
When evaluating Dremio, potential users should look for feedback on its query performance, especially in environments with large and complex data sets. Reviews might highlight the efficiency gains from using Dremio’s data reflections and its ability to integrate with existing BI tools without significant changes to underlying data structures. Also, check how other users evaluate its ease of deployment and scalability, particularly in hybrid and cloud environments.
How is Dremio Implemented Across Different Industries?
Dremio is widely applicable across various industries, including finance, healthcare, and retail, where organizations benefit from rapid, on-demand access to large volumes of data spread across disparate systems. For instance, in healthcare, Dremio can be used to analyze patient outcomes across different data repositories, improving treatment strategies and operational efficiencies.
What About Dremio’s Pricing, Licensing, and Support?
Dremio offers a flexible pricing model that caters to different sizes and types of businesses, including a free community version for smaller teams and proof-of-concept projects. Their enterprise version is subscription-based, with pricing varying based on the deployment scale and support needs. Customer support is comprehensive, featuring dedicated assistance, online resources, and community support.
We monitor all Cloud Data Warehouse 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.
