About Apache Hive
Apache Hive is a data warehousing software from Apache Software Foundation that supports querying and managing large datasets residing in distributed storage. It provides an SQL-like interface, supports various data formats, and integrates with Hadoop, enabling users to run complex queries efficiently. Apache Hive is designed for managing structured data by providing an abstraction over raw data storage, making it easier to perform data analysis tasks. Users benefit from its extensive support for user-defined functions and connectors to different data sources. Key capabilities: SQL-like query language integration with Hadoop support for various data formats user-defined functions high scalability Best for: data analysts and engineers that need to perform data analysis on large-scale datasets.
Apache Hive Details
Apache Hive's In-App Market Place
Does Apache Hive have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£)
Pros & Cons
- Trusted by enterprises worldwide for mission-critical data analytics.
- Manages petabytes of data using a distributed, fault-tolerant data warehouse system.
- Familiar SQL interface makes it easy for data analysts and engineers to work with big data.
- Offers enterprise-grade security with Kerberos, access control, and audit logging.
- Features Low Latency Analytics (LLAP) for interactive, sub-second SQL queries.
- It is built on Apache Hadoop, which can lead to complex cluster management.
- Requires managing a separate Hive Metastore (HMS) service for metadata.
- Even with LLAP, it is optimized primarily for batch processing over true real-time.
- Initial query performance relies heavily on the Cost-Based Optimizer (CBO).
- Setup may involve more configuration compared to single-node data warehouses.
Apache Hive's Support Options
Documentation
https://hive.apache.org/Document