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Apache Drill

64
141
+ 1
14
Liquibase

253
476
+ 1
53
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Apache Drill vs Liquibase: What are the differences?

What is Apache Drill? Schema-Free SQL Query Engine for Hadoop and NoSQL. Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.

What is Liquibase? Source control for your database. Developers store database changes in text-based files on their local development machines and apply them to their local databases. Changelog files can be be arbitrarily nested for better management.

Apache Drill and Liquibase can be categorized as "Database" tools.

Some of the features offered by Apache Drill are:

  • Low-latency SQL queries
  • Dynamic queries on self-describing data in files (such as JSON, Parquet, text) and MapR-DB/HBase tables, without requiring metadata definitions in the Hive metastore.
  • ANSI SQL

On the other hand, Liquibase provides the following key features:

  • Supports code branching and merging
  • Supports multiple developers
  • Supports multiple database types

"NoSQL and Hadoop" is the primary reason why developers consider Apache Drill over the competitors, whereas "Great database tool" was stated as the key factor in picking Liquibase.

Liquibase is an open source tool with 1.78K GitHub stars and 1.09K GitHub forks. Here's a link to Liquibase's open source repository on GitHub.

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Pros of Apache Drill
Pros of Liquibase
  • 4
    NoSQL and Hadoop
  • 3
    Free
  • 3
    Lightning speed and simplicity in face of data jungle
  • 1
    Well documented for fast install
  • 1
    Nested Data support
  • 1
    Read Structured and unstructured data
  • 1
    V1.10 released - https://drill.apache.org/
  • 17
    Great database tool
  • 14
    Many DBs supported
  • 9
    Easy setup
  • 6
    Database independent migration scripts
  • 3
    Database version controller
  • 3
    Unique open source tool
  • 1
    Supports NoSQL and Graph DBs

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Cons of Apache Drill
Cons of Liquibase
    Be the first to leave a con
    • 3
      No vendor specifics in XML format - needs workarounds
    • 3
      Documentation is disorganized

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    - No public GitHub repository available -

    What is Apache Drill?

    Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.

    What is Liquibase?

    Liquibase is a leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Apache Drill?
    What companies use Liquibase?
    See which teams inside your own company are using Apache Drill or Liquibase.
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    What tools integrate with Apache Drill?
    What tools integrate with Liquibase?

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    What are some alternatives to Apache Drill and Liquibase?
    Presto
    Distributed SQL Query Engine for Big Data
    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.
    Apache Calcite
    It is an open source framework for building databases and data management systems. It includes a SQL parser, an API for building expressions in relational algebra, and a query planning engine
    Apache Impala
    Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.
    Druid
    Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
    See all alternatives