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Delta Lake vs Pig

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Delta Lake
96
311
+ 1
0
Pig
59
111
+ 1
5
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Delta Lake vs Pig: What are the differences?

What is Delta Lake? Reliable Data Lakes at Scale. An open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads.

What is Pig? Platform for analyzing large data sets. Pig is a dataflow programming environment for processing very large files. Pig's language is called Pig Latin. A Pig Latin program consists of a directed acyclic graph where each node represents an operation that transforms data Operations are of two flavors: (1) relational-algebra style operations such as join, filter, project; (2) functional-programming style operators such as map, reduce. .

Delta Lake and Pig can be categorized as "Big Data" tools.

Delta Lake and Pig are both open source tools. It seems that Delta Lake with 1.26K GitHub stars and 210 forks on GitHub has more adoption than Pig with 583 GitHub stars and 449 GitHub forks.

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Pros of Delta Lake
Pros of Pig
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    • 2
      Finer-grained control on parallelization
    • 1
      Proven at Petabyte scale
    • 1
      Open-source
    • 1
      Join optimizations for highly skewed data

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    What is Delta Lake?

    An open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads.

    What is Pig?

    Pig is a dataflow programming environment for processing very large files. Pig's language is called Pig Latin. A Pig Latin program consists of a directed acyclic graph where each node represents an operation that transforms data. Operations are of two flavors: (1) relational-algebra style operations such as join, filter, project; (2) functional-programming style operators such as map, reduce.

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    What companies use Delta Lake?
    What companies use Pig?
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    What tools integrate with Delta Lake?
    What tools integrate with Pig?

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    What are some alternatives to Delta Lake and Pig?
    Snowflake
    Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    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.
    Amazon Athena
    Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
    See all alternatives

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