Apache Spark vs. Druid vs. AresDB

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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 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.

What is AresDB?

AresDB is a GPU-powered real-time analytics storage and query engine. It features low query latency, high data freshness and highly efficient in-memory and on disk storage management.
Why do developers choose Apache Spark?
Why do you like Apache Spark?

Why do developers choose Druid?
Why do you like Druid?

Why do developers choose AresDB?
Why do you like AresDB?

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 Druid?
No Cons submitted yet for Druid
Downsides of Druid?

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

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 Druid?
23 companies on StackShare use Druid
What companies use AresDB?
1 companies on StackShare use AresDB
What tools integrate with Apache Spark?
12 tools on StackShare integrate with Apache Spark
What tools integrate with Druid?
2 tools on StackShare integrate with Druid
No integrations listed yet

What are some alternatives to Apache Spark, Druid, and AresDB?

  • Apache Flink - Fast and reliable large-scale data processing engine
  • Amazon Athena - Query S3 Using SQL
  • Presto - Distributed SQL Query Engine for Big Data
  • Impala - Real-time Query for Hadoop

See all alternatives to Apache Spark



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