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Apache Drill

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Massive

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Apache Drill vs Massive: 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 Massive? A Postgres-Centric Data Access Tool. Massive's goal is to help you get data from your database. This is not an ORM, it's a bit more than a query tool - our goal is to do just enough, then get out of your way. Massive embraces SQL completely, and helps you out when you don't feel like writing another mundane select * from statement.

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

Massive is an open source tool with 2.55K GitHub stars and 194 GitHub forks. Here's a link to Massive's open source repository on GitHub.

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Pros of Apache Drill

Pros of Massive

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/

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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 Massive?

Massive's goal is to help you get data from your database. This is not an ORM, it's a bit more than a query tool - our goal is to do just enough, then get out of your way. Massive embraces SQL completely, and helps you out when you don't feel like writing another mundane select * from statement.

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What companies use Apache Drill?

What companies use Massive?

No companies found

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What tools integrate with Apache Drill?

What tools integrate with Massive?

DbSchema

PostgreSQL

What are some alternatives to Apache Drill and Massive?

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.

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Apache Drill vs Massive

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Pros of Apache Drill

Pros of Massive

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What is Apache Drill?

What is Massive?

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What companies use Apache Drill?

What companies use Massive?

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What tools integrate with Apache Drill?

What tools integrate with Massive?

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