Apache Spark vs. Kudu 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 Kudu?

A new addition to the open source Apache Hadoop ecosystem, Kudu completes Hadoop's storage layer to enable fast analytics on fast data.

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 Kudu?
Why do you like Kudu?

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 Kudu?
Downsides of Kudu?

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 Kudu?
5 companies on StackShare use Kudu
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 Kudu?
1 tools on StackShare integrate with Kudu
No integrations listed yet

What are some alternatives to Apache Spark, Kudu, 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
  • Druid - Fast column-oriented distributed data store

See all alternatives to Apache Spark



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