Apache Spark vs. Impala vs. Vespa

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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.

What is Vespa?

Vespa is an engine for low-latency computation over large data sets. It stores and indexes your data such that queries, selection and processing over the data can be performed at serving time.
Why do developers choose Apache Spark?
Why do you like Apache Spark?

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

Why do developers choose Vespa?
Why do you like Vespa?

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?

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

Want advice about which of these to choose?Ask the StackShare community!

What companies use Apache Spark?
327 companies on StackShare use Apache Spark
What companies use Impala?
16 companies on StackShare use Impala
What companies use Vespa?
1 companies on StackShare use Vespa
What tools integrate with Apache Spark?
12 tools on StackShare integrate with Apache Spark
What tools integrate with Impala?
2 tools on StackShare integrate with Impala
What tools integrate with Vespa?
2 tools on StackShare integrate with Vespa

What are some alternatives to Apache Spark, Impala, and Vespa?

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

See all alternatives to Apache Spark



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