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Hadoop VS Splunk

Compare Hadoop VS Splunk and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing

Splunk logo Splunk

Splunk's operational intelligence platform helps unearth intelligent insights from machine data.
  • Hadoop Landing page
    Landing page //
    2021-09-17
  • Splunk Landing page
    Landing page //
    2023-10-20

Hadoop features and specs

  • Scalability
    Hadoop can easily scale from a single server to thousands of machines, each offering local computation and storage.
  • Cost-Effective
    It utilizes a distributed infrastructure, allowing you to use low-cost commodity hardware to store and process large datasets.
  • Fault Tolerance
    Hadoop automatically maintains multiple copies of all data and can automatically recover data on failure of nodes, ensuring high availability.
  • Flexibility
    It can process a wide variety of structured and unstructured data, including logs, images, audio, video, and more.
  • Parallel Processing
    Hadoop's MapReduce framework enables the parallel processing of large datasets across a distributed cluster.
  • Community Support
    As an Apache project, Hadoop has robust community support and a vast ecosystem of related tools and extensions.

Possible disadvantages of Hadoop

  • Complexity
    Setting up, maintaining, and tuning a Hadoop cluster can be complex and often requires specialized knowledge.
  • Overhead
    The MapReduce model can introduce additional overhead, particularly for tasks that require low-latency processing.
  • Security
    While improvements have been made, Hadoop's security model is considered less mature compared to some other data processing systems.
  • Hardware Requirements
    Though it can run on commodity hardware, Hadoop can still require significant computational and storage resources for larger datasets.
  • Lack of Real-Time Processing
    Hadoop is mainly designed for batch processing and is not well-suited for real-time data analytics, which can be a limitation for certain applications.
  • Data Integrity
    Distributed systems face challenges in maintaining data integrity and consistency, and Hadoop is no exception.

Splunk features and specs

  • Powerful Data Analysis
    Splunk provides robust data indexing and search capabilities, allowing users to analyze large volumes of log data with high flexibility and efficiency.
  • Real-Time Processing
    Splunk enables real-time monitoring and analysis of data, which helps in immediate detection of anomalies and operational issues.
  • Scalability
    Splunk can efficiently scale to handle large amounts of data from various sources, making it suitable for both small businesses and large enterprises.
  • Wide Range of Integrations
    Splunk offers extensive integration options with numerous third-party applications and services, enhancing its functionalities and utility.
  • User-Friendly Interface
    Splunk comes with a highly intuitive and user-friendly interface, which makes it easier for users to navigate and leverage its features without extensive training.
  • Advanced Security Features
    Splunk includes comprehensive security features such as access controls, data encryption, and auditing capabilities to ensure data protection and compliance.

Possible disadvantages of Splunk

  • High Cost
    Splunk is considered expensive compared to other data analytics tools, which can be a significant constraint for smaller organizations or those with limited budgets.
  • Complex Licensing
    The licensing model for Splunk can be complex and confusing, often leading to issues in predicting costs and understanding the full extent of required licensing.
  • Steep Learning Curve
    Despite its user-friendly interface, there is a steep learning curve associated with mastering Splunk’s advanced features and query language, which can be challenging for new users.
  • Resource Intensive
    Splunk can be resource-intensive, requiring substantial computational power and storage, which might necessitate additional hardware investments.
  • Custom App Development
    Building custom apps and dashboards in Splunk may require specialized knowledge of its proprietary language, which can limit customization for users without technical expertise.

Analysis of Hadoop

Overall verdict

  • Hadoop is a robust and powerful data processing platform that is well-suited for organizations that need to manage and analyze large-scale data. Its resilience, scalability, and open-source nature make it a popular choice for big data solutions. However, it may not be the best fit for all use cases, especially those requiring real-time processing or where ease of use is a priority.

Why this product is good

  • Hadoop is renowned for its ability to store and process large datasets using a distributed computing model. It is scalable, cost-effective, and efficient in handling massive volumes of data across clusters of computers. Its ecosystem includes a wide range of tools and technologies like HDFS, MapReduce, YARN, and Hive that enhance data processing and analysis capabilities.

Recommended for

  • Organizations dealing with vast amounts of data needing efficient batch processing.
  • Businesses that require scalable storage solutions to manage their data growth.
  • Companies interested in leveraging a diverse ecosystem of data processing tools and technologies.
  • Technical teams that have the expertise to manage and optimize complex distributed systems.

Hadoop videos

+ Add

What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

Splunk videos

+ Add

"Splunk Product Overview"

More videos:

  • Tutorial - Splunk in 60 Minutes | Splunk Tutorial For Beginners | Splunk Training | Splunk Tutorial | Edureka
  • Demo - Splunk Incident Review Demo

Category Popularity

0-100% (relative to Hadoop and Splunk)

Hadoop

Splunk

Databases
100 100%
Databases
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Big Data
100 100%
Big Data
0% 0
Log Management
0 0%
Log Management
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Hadoop and Splunk

Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
Source: www.datacamp.com
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
Source: www.analytixlabs.co.in
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment 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. Rather than relying on hardware to deliver high-availability, the library itself is...
Source: www.analyticsinsight.net

Splunk Reviews

The 10 Best Nagios Alternatives in 2024 (Paid and Open-source)
What sets Splunk apart, likely contributing to its premium price, is its expansive network. With over 2,200 partners spanning various industries, Splunk ensures users can fully leverage the platform. Additionally, boasting a community of over 18,000 active members and 1,800 Splunk experts, users have access to support for problem-solving, architecture, deployment, and...
Source: betterstack.com
Top 10 Grafana Alternatives in 2024
Splunk’s security and data monitoring features make it a potent alternative to Grafana. The platform helps collect and store extensive data from multiple platforms like databases, messaging systems, and network devices.
Source: middleware.io
Top 11 Grafana Alternatives & Competitors [2024]
Splunk's strengths lie in its adeptness at handling large-scale data ingestion and robust analytics capabilities. This makes it invaluable for organizations with complex data monitoring needs, particularly in enterprise security and observability.
Source: signoz.io
10 Best Grafana Alternatives [2023 Comparison]
Splunk is a well-known log management solution that’s been around forever. It offers a variety of observability solutions, making it an ideal Grafana alternative in terms of functionality. Splunk offers users Log Management, Synthetic monitoring, Infrastructure Monitoring, APM, Security Monitoring, and more.
Source: sematext.com
Top 11 Best SIEM Tools in 2022 For Real-Time Incident Response and Security
Splunk provides improved security operations like customizable dashboards, asset investigator, statistical analysis, and incident review, classification, and investigation. It has features of alerts management, risk scores, etc. It provides security services to the public sectors, financial services, and healthcare.
Source: www.softwaretestinghelp.com

Social recommendations and mentions

Hadoop might be a bit more popular than Splunk. We know about 25 links to it since March 2021 and only 19 links to Splunk. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Hadoop mentions (25)

  • Apache Hadoop: Open Source Business Model, Funding, and Community
    This post provides an in‐depth look at Apache Hadoop, a transformative distributed computing framework built on an open source business model. We explore its history, innovative open funding strategies, the influence of the Apache License 2.0, and the vibrant community that drives its continuous evolution. Additionally, we examine practical use cases, upcoming challenges in scaling big data processing, and future... - Source: dev.to / about 1 month ago
  • What is Apache Kafka? The Open Source Business Model, Funding, and Community
    Modular Integration: Thanks to its modular approach, Kafka integrates seamlessly with other systems including container orchestration platforms like Kubernetes and third-party tools such as Apache Hadoop. - Source: dev.to / about 1 month ago
  • India Open Source Development: Harnessing Collaborative Innovation for Global Impact
    Over the years, Indian developers have played increasingly vital roles in many international projects. From contributions to frameworks such as Kubernetes and Apache Hadoop to the emergence of homegrown platforms like OpenStack India, India has steadily carved out a global reputation as a powerhouse of open source talent. - Source: dev.to / about 1 month ago
  • Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom
    One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / 3 months ago
  • Apache Hadoop: Pioneering Open Source Innovation in Big Data
    Apache Hadoop is more than just software—it’s a full-fledged ecosystem built on the principles of open collaboration and decentralized governance. Born out of a need to process vast amounts of information efficiently, Hadoop uses a distributed file system and the MapReduce programming model to enable scalable, fault-tolerant computing. Central to its success is a diverse ecosystem that includes influential... - Source: dev.to / 3 months ago
View more

Splunk mentions (19)

  • Ask HN: Who is hiring? (April 2025)
    Splunk (A Cisco Company) [https://splunk.com] | Principal Software Engineer, Backend | Remote (Vancouver / Toronto, Canada) Splunk is here to build a safer and more resilient digital world. The world's leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. The role I'm hiring for is to lead the effort for a new API that will power Splunk's new... - Source: Hacker News / 2 months ago
  • Can I install apps on Free 60 day Enterprise?
    I'm using the free 60day Enterprise license and tried to install different apps from the "Browse more apps" menu in Splunk Enterprise, but it doesn't accept my credentials when I try to log in. I tried my username and password from splunk.com(which I'm sure it works, because I tried it straight away on the official website). Also I tried using my username and password with which I'm accessing Splunk Enterprise,... Source: over 1 year ago
  • Can someone explain this before I go a little crazy? xD
    I'm noticing a questionable trend in Splunk question/answer structure for these free courses on splunk.com So I go to an exam dump to try and compare to something I have studied thus far. (Prepping for entry level 1002). Source: over 1 year ago
  • Where exactly can I start to learn?
    With your splunk.com username, you can login to Splunk trainings portals as well https://www.splunk.com/en_us/training.html .. There are lots of free trainings available. Enroll yourself, complete them, you will gain more confidence. Source: almost 2 years ago
  • VAST 3.0 released. Open-Source Security Data Pipelines with Kusto-like syntax
    VAST is an open-source SecDataOps project for working with data from open-source security tools. Version 3.0 adds a pipeline syntax similar to splunk, Kusto, PRQL, and Zed. Source: over 2 years ago
View more

What are some alternatives?

When comparing Hadoop and Splunk, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases

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