dat vs Apache Drill vs Pandasql

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

dat

71
41
+ 1
0
Apache Drill

71
168
+ 1
16
Pandasql

7
51
+ 1
1
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of dat
Pros of Apache Drill
Pros of Pandasql
    Be the first to leave a pro
    • 4
      NoSQL and Hadoop
    • 3
      Free
    • 3
      Lightning speed and simplicity in face of data jungle
    • 2
      Well documented for fast install
    • 1
      SQL interface to multiple datasources
    • 1
      Nested Data support
    • 1
      Read Structured and unstructured data
    • 1
      V1.10 released - https://drill.apache.org/
    • 1
      Super fast to handel df by sql syntax

    Sign up to add or upvote prosMake informed product decisions

    Cons of dat
    Cons of Apache Drill
    Cons of Pandasql
      Be the first to leave a con
        Be the first to leave a con
        • 1
          Its cant output boolean

        Sign up to add or upvote consMake informed product decisions

        - No public GitHub repository available -
        - No public GitHub repository available -

        What is dat?

        Dat is an open source project that provides a streaming interface between every file format and data storage backend.

        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 Pandasql?

        pandasql allows you to query pandas DataFrames using SQL syntax. It works similarly to sqldf in R. pandasql seeks to provide a more familiar way of manipulating and cleaning data for people new to Python or pandas.

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

        What companies use dat?
        What companies use Apache Drill?
        What companies use Pandasql?
          No companies found

          Sign up to get full access to all the companiesMake informed product decisions

          What tools integrate with dat?
          What tools integrate with Apache Drill?
          What tools integrate with Pandasql?
            No integrations found
              No integrations found
              What are some alternatives to dat, Apache Drill, and Pandasql?
              IPFS
              It is a protocol and network designed to create a content-addressable, peer-to-peer method of storing and sharing hypermedia in a distributed file system.
              Slick
              It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
              Spring Data
              It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
              Dataform
              Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
              DB
              With DB you can very easily save, restore, and archive snapshots of your database from the command line. It supports connecting to different database servers (for example a local development server and a staging or production server) and allows you to load a database dump from one environment into another environment.
              See all alternatives