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Apache Storm VS Stitch

Compare Apache Storm VS Stitch and see what are their differences

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Apache Storm logo Apache Storm

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

Stitch logo Stitch

Consolidate your customer and product data in minutes
  • Apache Storm Landing page
    Landing page //
    2019-03-11
  • Stitch Landing page
    Landing page //
    2023-05-10

Apache Storm features and specs

  • 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 of Apache Storm

  • 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.

Stitch features and specs

  • Ease of use
    Stitch is user-friendly with a simple interface that allows users to set up data integrations quickly without extensive technical knowledge.
  • Wide range of integrations
    Stitch supports a wide variety of data sources and destinations, making it versatile for different data needs.
  • Scalability
    Stitch is built to handle large data volumes, making it suitable for growing businesses with increasing data requirements.
  • Transparent pricing
    Stitch offers clear and straightforward pricing plans based on the volume of data, allowing businesses to predict costs easily.
  • Flexibility
    Users can customize their data integrations with options to filter and select specific fields for extraction, transformation, and loading.

Possible disadvantages of Stitch

  • Limited data transformation
    Stitch provides basic transformation capabilities. Users may need additional tools for complex data transformations.
  • Cost for high-volume users
    While pricing is transparent, costs can add up for users with high data volumes, potentially making it expensive.
  • Occasional latency
    Some users experience delays in data syncing, which may be challenging for real-time data needs.
  • Support
    Support services can be limited, especially for lower-tier plans, which might be an issue for users requiring immediate assistance.
  • Limited customization
    Although it offers flexibility, some users may find the customization options insufficient for very specific or advanced use cases.

Analysis of Stitch

Overall verdict

  • Overall, Stitch is regarded as a good and reliable ETL tool, especially praised for its ease of use and efficient data handling capabilities, making it a popular option among businesses looking to streamline their data pipeline processes.

Why this product is good

  • Stitch (stitchdata.com) is considered a strong choice for data integration needs due to its ability to efficiently extract, transform, and load (ETL) data from various sources into data warehouses. It offers a user-friendly interface, supports over 100 integrations, and provides scalable solutions for businesses of varying sizes. Its pay-as-you-go pricing model and cloud-native platform make it accessible and flexible for many users.

Recommended for

  • Small to medium-sized businesses looking for a cost-effective data integration solution.
  • Organizations that need to integrate data from multiple sources rapidly.
  • Data teams that prefer a tool with a straightforward, intuitive interface.
  • Companies leveraging cloud data warehouses like Amazon Redshift, Google BigQuery, or Snowflake.

Apache Storm videos

+ Add

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

More videos:

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

Stitch videos

+ Add

Let's Talk About: Stitch! The Anime - A Review

More videos:

  • Review - Lilo and Stitch - Disney's Unusual Masterpiece
  • Review - Let's Talk About: Stitch and Ai - A Review

Category Popularity

0-100% (relative to Apache Storm and Stitch)

Apache Storm

Stitch

Big Data
100 100%
Big Data
0% 0
Data Integration
0 0%
Data Integration
100% 100
Stream Processing
100 100%
Stream Processing
0% 0
ETL
0 0%
ETL
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 Apache Storm and Stitch

Apache Storm Reviews

Top 15 Kafka Alternatives Popular In 2021
Apache Storm is a recognized, distributed, open-source real-time computational system. It is free, simple to use, and helps in easily and accurately processing multiple data streams in real-time. Because of its simplicity, it can be utilized with any programming language and that is one reason it is a developer’s preferred choice. It is fast, scalable, and integrates well...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Storm is an open-source distributed real-time computational system for processing data streams. Similar to what Hadoop does for batch processing, Apache Storm does for unbounded streams of data in a reliable manner. Built by Twitter, Apache Storm specifically aims at the transformation of data streams. Storm has many use cases like real-time analytics, online machine...
Source: www.analyticsinsight.net

Stitch Reviews

Best ETL Tools: A Curated List
Stitch is a SaaS-based batch ELT tool originally developed as part of the Singer open-source project within RJMetrics. After its acquisition by Talend in 2018, Stitch has continued to provide a straightforward, cloud-native solution for automating data extraction and loading into data warehouses. Although branded as an ETL tool, Stitch operates primarily as a batch ELT...
Source: estuary.dev
Best Affordable Alternatives to Supermetrics
Stitch is a powerful ETL tool since it can be easily customized and is safe from outside interference. With their open-source code, you may use them with any tool, not only the ones they support. They also guarantee HIPAA and GDPR compliance. Making a decision might be crucial for businesses, particularly in the health industry.
Source: adsbot.co
Top 11 Fivetran Alternatives for 2024
Stitch is a SaaS-based batch ELT tool developed from the Singer open-source project. It was initially created within RJMetrics, and when Magento acquired RJMetrics in 2016, Stitch spun off as an independent company. In 2017, Stitch made contributions to the Singer open-source project, and in 2018, it was acquired by Talend. Currently, Stitch is utilized by over 3,000...
Source: estuary.dev
10 Best ETL Tools (October 2023)
An open-source ELT (extract, load, transform) data integration platform, Stitch is one more excellent choice. Similar to Talend, Stitch offers paid service tiers for more advanced use cases and larger numbers of data sources. Stitch was actually acquired by Talend in 2018.
Source: www.unite.ai
15+ Best Cloud ETL Tools
Stitch Data is an efficient, cloud-based ETL platform that enables businesses to seamlessly transfer their structured and unstructured data from various sources into data warehouses and data lakes. It provides tools for transforming data within the data warehouse or via external engines like Spark and MapReduce. As a part of Talend Data Fabric, Stitch Data focuses on...
Source: estuary.dev

Social recommendations and mentions

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

Apache Storm mentions (11)

  • Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
    There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 2 years ago
  • Real Time Data Infra Stack
    Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 2 years ago
  • In One Minute : Hadoop
    Storm, a system for real-time and stream processing. - Source: dev.to / over 2 years ago
  • Elon Musk reportedly wants to fire 75% of Twitter’s employees
    Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: over 2 years ago
  • Spark for beginners - and you
    Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 3 years ago
View more

Stitch mentions (0)

We have not tracked any mentions of Stitch yet. Tracking of Stitch recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Storm and Stitch, 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.

Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Skyvia - Free cloud data platform for data integration, backup & management

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

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