Impala vs Presto vs Apache Spark

Impala
Impala

53
8
234
Presto
Presto

90
40
356
Apache Spark
Apache Spark

939
96
0

What is 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.

What is Presto?

Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.

What is 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.

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Why do developers choose Impala?
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What companies use Impala?
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What are some alternatives to Impala, Presto, and Apache Spark?
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
Amazon Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
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.
Apache Hive
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
AWS Glue
A fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
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What tools integrate with Impala?
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Decisions about Impala, Presto, and Apache Spark
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How developers use Impala, Presto, and Apache Spark
Avatar of Wei Chen
Wei Chen uses Apache SparkApache Spark

Spark is good at parallel data processing management. We wrote a neat program to handle the TBs data we get everyday.

Avatar of Ralic Lo
Ralic Lo uses Apache SparkApache Spark

Used Spark Dataframe API on Spark-R for big data analysis.

Avatar of Kalibrr
Kalibrr uses Apache SparkApache Spark

We use Apache Spark in computing our recommendations.

Avatar of BrainFinance
BrainFinance uses Apache SparkApache Spark

As a part of big data machine learning stack (SMACK).

Avatar of Dotmetrics
Dotmetrics uses Apache SparkApache Spark

Big data analytics and nightly transformation jobs.

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