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Apache Drill

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ReactiveMongo

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Apache Drill vs ReactiveMongo: What are the differences?

Developers describe Apache Drill as "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. On the other hand, ReactiveMongo is detailed as "Non-blocking, Reactive MongoDB Driver for Scala". ReactiveMongo is designed to avoid any kind of blocking request. Every operation returns immediately, freeing the running thread and resuming execution when it is over. Accessing the database is not a bottleneck anymore.

Apache Drill and ReactiveMongo can be primarily classified as "Database" tools.

ReactiveMongo is an open source tool with 797 GitHub stars and 231 GitHub forks. Here's a link to ReactiveMongo's open source repository on GitHub.

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Pros of Apache Drill

Pros of ReactiveMongo

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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849

232

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 ReactiveMongo?

ReactiveMongo is designed to avoid any kind of blocking request. Every operation returns immediately, freeing the running thread and resuming execution when it is over. Accessing the database is not a bottleneck anymore.

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What companies use Apache Drill?

What companies use ReactiveMongo?

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What tools integrate with Apache Drill?

What tools integrate with ReactiveMongo?

DbSchema

MongoDB

What are some alternatives to Apache Drill and ReactiveMongo?

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 ReactiveMongo

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Pros of Apache Drill

Pros of ReactiveMongo

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What is Apache Drill?

What is ReactiveMongo?

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What companies use Apache Drill?

What companies use ReactiveMongo?

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What tools integrate with Apache Drill?

What tools integrate with ReactiveMongo?

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