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Apache Storm VS Tigon

Compare Apache Storm VS Tigon and see what are their differences

Apache Storm

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

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
Tigon

Tigon is an open source real-time stream processing framework built on top of Apache Hadoop and Apache HBase.

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0 reviews
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Data Analytic System
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Which is more popular?

Based on our record, Apache Storm seems to be more popular. It has been mentioned 11 times since March 2021.

social mentions
11 vs 0
Big Data popularity
87% vs 13%
alternatives listed
113 vs 17

Base details

Website, pricing, platforms and company facts side by side.

Apache Storm
Tigon
Website storm.apache.org tigon.io
Pricing
Open source
—
Listed in
Big Data Stream Processing Data Warehousing Data Dashboard +1
Big Data Databases Stream Processing Big Data Analytics +1

Features and specs

What each product offers, as listed by its team.

Apache Storm 5 features
Tigon 0 features
  • Real-Time Processing
    Apache Storm is designed for processing data in real-time, which makes it ideal for applications like fraud detection, recommendation systems, and monitoring tools.
  • Scalability
    Storm is capable of scaling horizontally, allowing it to handle increasing amounts of data by adding more nodes, making it suitable for large-scale applications.
  • Fault Tolerance
    Storm provides robust fault-tolerance mechanisms by rerouting tasks from failed nodes to operational ones, ensuring continuous processing.
  • Broad Language Support
    Apache Storm supports multiple programming languages, including Java, Python, and Ruby, allowing developers to use the language they are most comfortable with.
  • Open Source Community
    Being an Apache project, Storm benefits from a strong open-source community, which contributes to its development and offers abundant resources and support.

Possible disadvantages

  • Complex Setup
    Setting up and configuring Apache Storm can be complex and time-consuming, requiring detailed knowledge of its architecture and the underlying infrastructure.
  • High Learning Curve
    The architecture and components of Storm can be difficult for new users to grasp, leading to a steeper learning curve compared to some other streaming platforms.
  • Maintenance Overhead
    Managing and maintaining a Storm cluster can require significant effort, including monitoring, troubleshooting, and scaling the infrastructure.
  • Error Handling
    While Storm is fault-tolerant, its error handling at the application level can sometimes be challenging, requiring careful design to manage failures effectively.
  • Resource Intensive
    Storm can be resource-intensive, particularly in terms of memory and CPU usage, which can lead to increased costs and necessitate powerful hardware.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

Apache Storm
Tigon

No analysis of Apache Storm yet.

Overall verdict

  • Tigon is a real-time analytics and streaming data platform built on Apache Pinot, designed to help teams build low-latency, high-throughput data applications; it's a solid choice for teams needing operational analytics but requires evaluation against your specific streaming/analytics stack needs.

Why this product is good

  • Built on proven open-source technology (Apache Pinot) with real-time indexing capabilities
  • Offers low-latency query performance suitable for user-facing analytics applications
  • Provides managed infrastructure, reducing operational overhead compared to self-hosting Pinot
  • Supports high-throughput data ingestion for streaming use cases
  • Backed by engineers with deep expertise in the Pinot ecosystem

Recommended for

  • Companies building real-time analytics dashboards or user-facing data applications
  • Teams already using or considering Apache Pinot who want a managed solution
  • Organizations needing sub-second query latency on large-scale streaming data
  • Engineering teams wanting to avoid the complexity of self-managing Pinot infrastructure
  • Businesses with use cases like personalization, fraud detection, or operational monitoring requiring real-time insights

Videos

Walkthroughs and reviews on video.

Apache Storm 3 videos + Add
Tigon 3 videos + Add

Apache Storm Tutorial For Beginners | Apache Storm Training | Apache Storm Example | Edureka

More videos

  • - Developing Java Streaming Applications with Apache Storm
  • - Atom Text Editor Option - Real-Time Analytics with Apache Storm

GTA 5 - DLC Vehicle Customization - Lampadati Tigon (De Tomaso P72) and Review

More videos

  • - Aspire Tigon Kit Review / What’s a Tigon?
  • - Aspire Tigon Starter Kit Review - Mike Vapes

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Apache Storm
Tigon
87% 87%
Big Data
13% 13%
85% 85%
Stream Processing
15% 15%
0% 0%
Big Data Analytics
100% 100%
74% 74%
Databases
26% 26%

User comments

Share your experience with using Apache Storm and Tigon. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Apache Storm no reviews yet
Tigon no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Apache Storm 11 mentions
Tigon 0 mentions

View more

Tracking Tigon since Mar 2021.

Alternatives to Apache Storm and Tigon

When comparing Apache Storm and Tigon, you can also consider the following products.

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