Need advice about which tool to choose?Ask the StackShare community!

Hadoop

2.3K
2.2K
+ 1
56
Splunk

702
896
+ 1
14
Add tool

Hadoop vs Splunk: What are the differences?

Developers describe Hadoop as "Open-source software for reliable, scalable, distributed computing". 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. On the other hand, Splunk is detailed as "Search, monitor, analyze and visualize machine data". Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.

Hadoop belongs to "Databases" category of the tech stack, while Splunk can be primarily classified under "Log Management".

Hadoop is an open source tool with 9.27K GitHub stars and 5.78K GitHub forks. Here's a link to Hadoop's open source repository on GitHub.

According to the StackShare community, Hadoop has a broader approval, being mentioned in 237 company stacks & 127 developers stacks; compared to Splunk, which is listed in 31 company stacks and 29 developer stacks.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Hadoop
Pros of Splunk
  • 39
    Great ecosystem
  • 11
    One stack to rule them all
  • 4
    Great load balancer
  • 1
    Amazon aws
  • 1
    Java syntax
  • 2
    Ability to style search results into reports
  • 2
    Alert system based on custom query results
  • 2
    API for searching logs, running reports
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 1
    Query any log as key-value pairs
  • 1
    Splunk language supports string, date manip, math, etc
  • 1
    Granular scheduling and time window support
  • 1
    Custom log parsing as well as automatic parsing
  • 1
    Dashboarding on any log contents
  • 1
    Rich GUI for searching live logs

Sign up to add or upvote prosMake informed product decisions

Cons of Hadoop
Cons of Splunk
    Be the first to leave a con
    • 1
      Splunk query language rich so lots to learn

    Sign up to add or upvote consMake informed product decisions

    - No public GitHub repository available -

    What is 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.

    What is Splunk?

    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Hadoop?
    What companies use Splunk?
    See which teams inside your own company are using Hadoop or Splunk.
    Sign up for StackShare EnterpriseLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Hadoop?
    What tools integrate with Splunk?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    Blog Posts

    MySQLKafkaApache Spark+6
    2
    1806
    Aug 28 2019 at 3:10AM

    Segment

    PythonJavaAmazon S3+16
    7
    2340
    Jul 9 2019 at 7:22PM

    Blue Medora

    DockerPostgreSQLNew Relic+8
    11
    1948
    Jun 26 2018 at 3:26AM

    Twilio SendGrid

    GitHubDockerKafka+10
    11
    9637
    What are some alternatives to Hadoop and Splunk?
    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.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    Snowflake
    Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
    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.
    See all alternatives