Apache Impala
High-performance SQL for data in Apache Hadoop.
Overview
Apache Impala is a modern, open-source, distributed SQL query engine for Apache Hadoop. Impala provides low-latency, high-concurrency for BI and analytic queries on Hadoop, without requiring data movement or transformation.
✨ Key Features
- MPP SQL query engine
- Low-latency queries
- High concurrency
- Directly queries data in Hadoop (HDFS, HBase)
- Supports popular file formats (Parquet, ORC)
🎯 Key Differentiators
- Tight integration with the Hadoop ecosystem
- Low-latency performance for interactive queries
- MPP architecture
Unique Value: Delivers fast, interactive SQL queries on data stored in Hadoop, enabling real-time analytics on big data.
🎯 Use Cases (3)
✅ Best For
- Providing interactive SQL query capabilities for organizations with large Hadoop deployments.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Workloads that are not based on the Hadoop ecosystem.
🏆 Alternatives
Offers significantly lower latency for interactive queries compared to Apache Hive.
💻 Platforms
🔌 Integrations
💰 Pricing
Free tier: Open source and free to use.
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