Apache Spark vs. Impala

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Description

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.

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.

Pros

Why do developers choose Apache Spark?
Why do you like Apache Spark?

Why do developers choose Impala?
Why do you like Impala?

Cons

What are the cons of using Apache Spark?
No Cons submitted yet for Apache Spark
Downsides of Apache Spark?

What are the cons of using Impala?
No Cons submitted yet for Impala
Downsides of Impala?

Companies

What companies use Apache Spark?
223 companies on StackShare use Apache Spark
What companies use Impala?
13 companies on StackShare use Impala

Integrations

What tools integrate with Apache Spark?
10 tools on StackShare integrate with Apache Spark
What tools integrate with Impala?
2 tools on StackShare integrate with Impala

What are some alternatives to Apache Spark and Impala?

  • Druid - Fast column-oriented distributed data store
  • Apache Flink - Fast and reliable large-scale data processing engine
  • Presto - Distributed SQL Query Engine for Big Data (by Facebook)
  • Amazon Athena - Query S3 Using SQL

See all alternatives to Apache Spark



Interest Over Time


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