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Apache Drill vs Pig: What are the differences?
Apache Drill vs Pig
Apache Drill and Pig are both data processing tools that are widely used in the big data ecosystem. However, there are several key differences between the two.
Query Language: Apache Drill uses SQL-like queries to interact with data sources, making it easier for users familiar with SQL to work with. On the other hand, Pig uses its own scripting language called Pig Latin, which is designed for expressing data transformations.
Data Formats: Apache Drill natively supports a wide range of data formats, including JSON, Parquet, CSV, Avro, and more. It can directly query these formats without any pre-processing. Whereas, Pig requires data to be transformed into its own format called Pig Storage, which can be a time-consuming process.
Data Processing: Apache Drill is designed to work with both structured and semi-structured data, making it suitable for complex data processing tasks. Pig, on the other hand, is primarily focused on structured data processing and lacks advanced features for handling semi-structured or nested data.
Data Source Connectivity: Apache Drill can connect to various data sources, including Hadoop Distributed File System (HDFS), relational databases, NoSQL databases, and more. Pig, on the other hand, primarily operates on data stored in HDFS or HBase and requires data to be loaded into these systems prior to processing.
Performance: Apache Drill is designed for interactive queries and can provide near real-time results on large datasets. It optimizes query execution using distributed processing, vectorized processing, and columnar storage. Pig, on the other hand, is optimized for batch processing and may not provide the same level of performance for interactive queries.
User Community: Apache Drill has a rapidly growing community of users and contributors, with active development and regular updates. Pig, on the other hand, has been around for longer and has a more established user community, but its development and updates have slowed down in recent years.
In Summary, Apache Drill and Pig differ in terms of query language, data formats, data processing capabilities, data source connectivity, performance, and user community.
Pros of Apache Drill
- NoSQL and Hadoop4
- Free3
- Lightning speed and simplicity in face of data jungle3
- Well documented for fast install2
- SQL interface to multiple datasources1
- Nested Data support1
- Read Structured and unstructured data1
- V1.10 released - https://drill.apache.org/1
Pros of Pig
- Finer-grained control on parallelization2
- Proven at Petabyte scale1
- Open-source1
- Join optimizations for highly skewed data1