Dremio vs Osmos Data
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Dremio—the data lake engine, operationalizes your data lake storage and speeds your analytics processes with a high-performance and high-efficiency query engine while also democratizing data access for data scientists and analysts. | It is a low-code External Data Platform that helps companies scale their data ingestion while reducing costs and errors. Bring in fresher, cleaner customer and partner data with self-serve data uploaders and no-code ETL data pipelines. |
Democratize all your data;
Make your data engineers more productive;
Accelerate your favorite tools;
Self service, for everybody
| No-code data transformation;
User-friendly;
Designed to scale;
Handles billions of records;
Pre-built connectors;
APIs;
Error monitoring and alerts;
Enterprise-grade security |
Statistics | |
Stacks 116 | Stacks 1 |
Followers 348 | Followers 2 |
Votes 8 | Votes 0 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
What are some alternatives to Dremio, Osmos Data?
Blazor
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Stamplay
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Google BigQuery
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Apache Spark
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Amazon Redshift
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Qubole
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Presto
Distributed SQL Query Engine for Big Data
Amazon EMR
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Amazon Athena
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Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
