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Learn MorePros of dat
Pros of Apache Drill
Pros of Pandasql
Pros of dat
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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 Pandasql
- Super fast to handel df by sql syntax1
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Cons of dat
Cons of Apache Drill
Cons of Pandasql
Cons of dat
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Cons of Apache Drill
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Cons of Pandasql
- Its cant output boolean1
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- 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.
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What companies use dat?
What companies use Apache Drill?
What companies use Pandasql?
What companies use dat?
What companies use Apache Drill?
What companies use Pandasql?
No companies found
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What tools integrate with dat?
What tools integrate with Apache Drill?
What tools integrate with Pandasql?
What tools integrate with dat?
No integrations found
What tools integrate with Apache Drill?
What tools integrate with Pandasql?
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.