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Apache Kudu

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AWS Lambda

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Apache Kudu vs AWS Lambda: What are the differences?

What is Apache Kudu? Fast Analytics on Fast Data. A columnar storage manager developed for the Hadoop platform. 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 AWS Lambda? Automatically run code in response to modifications to objects in Amazon S3 buckets, messages in Kinesis streams, or updates in DynamoDB. AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

Apache Kudu can be classified as a tool in the "Big Data Tools" category, while AWS Lambda is grouped under "Serverless / Task Processing".

"Realtime Analytics" is the top reason why over 7 developers like Apache Kudu, while over 124 developers mention "No infrastructure" as the leading cause for choosing AWS Lambda.

Apache Kudu is an open source tool with 828 GitHub stars and 282 GitHub forks. Here's a link to Apache Kudu's open source repository on GitHub.

Udemy, Delivery Hero SE, and Nubank are some of the popular companies that use AWS Lambda, whereas Apache Kudu is used by HelloFresh, Kaspersky Lab, and Cedato. AWS Lambda has a broader approval, being mentioned in 2179 company stacks & 12298 developers stacks; compared to Apache Kudu, which is listed in 5 company stacks and 51 developer stacks.

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Pros of Apache Kudu
Pros of AWS Lambda
  • 10
    Realtime Analytics
  • 129
    No infrastructure
  • 83
    Cheap
  • 70
    Quick
  • 59
    Stateless
  • 47
    No deploy, no server, great sleep
  • 12
    AWS Lambda went down taking many sites with it
  • 6
    Event Driven Governance
  • 6
    Extensive API
  • 6
    Auto scale and cost effective
  • 6
    Easy to deploy
  • 5
    VPC Support
  • 3
    Integrated with various AWS services

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Cons of Apache Kudu
Cons of AWS Lambda
  • 1
    Restart time
  • 7
    Cant execute ruby or go
  • 3
    Compute time limited
  • 1
    Can't execute PHP w/o significant effort

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What is Apache 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 AWS Lambda?

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

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What companies use Apache Kudu?
What companies use AWS Lambda?
See which teams inside your own company are using Apache Kudu or AWS Lambda.
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What tools integrate with Apache Kudu?
What tools integrate with AWS Lambda?

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What are some alternatives to Apache Kudu and AWS Lambda?
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
HBase
Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
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.
Apache 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.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
See all alternatives