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Google Cloud Dataproc VS TillerStack

Compare Google Cloud Dataproc VS TillerStack and see what are their differences

Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Rating
0 reviews
Alternatives Is it good?
TillerStack

Smarter Field Service and Faster Remote Assistance.

Rating
0 reviews
Pricing
Open source Paid Free trial
Alternatives Is it good?
Lucris
Financial decision-making for Shopify brands, connecting sales and marketing to show what drives profit - and what to do next. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Google Cloud Dataproc seems to be more popular. It has been mentioned 3 times since March 2021.

social mentions
3 vs 0
Data Dashboard popularity
100% vs 0%
alternatives listed
94 vs 1

Base details

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

Google Cloud Dataproc
TillerStack
Website cloud.google.com tillerstack.com
Pricing —
Open source Paid Free trial Official pricing
Company — Startup from Germany · 50 - 99 employees · 2019
Listed in
Data Dashboard Big Data Data Warehousing Big Data Tools +1
Field Service Management Service Management Software Business & Commerce Payments +1

About Google Cloud Dataproc and TillerStack

In their own words, as submitted to SaaSHub.

Google Cloud Dataproc
TillerStack

No description of Google Cloud Dataproc yet.

TillerStack provides Field Service Management (FSM) and On-Site Remote Assist (OSRA) solutions for modern service organizations. Its TSentra platform supports AI-powered scheduling, dispatching, route optimization, mobile workforce management, and real-time field operations, while Osra+ uses AI...

Read more about TillerStack

Features and specs

What each product offers, as listed by its team.

Google Cloud Dataproc 5 features
TillerStack 3 features
  • Managed Service
    Google Cloud Dataproc is a fully managed service, which reduces the complexity of deploying, managing, and scaling big data clusters like Hadoop and Spark.
  • Integration with Google Cloud
    Seamlessly integrates with other Google Cloud services like Google Cloud Storage, BigQuery, and Google Cloud Pub/Sub, allowing for easy data handling and processing.
  • Scalability
    Can quickly scale resources up or down to meet the computing demands, making it flexible for different workload sizes and types.
  • Cost Efficiency
    Offers a pay-as-you-go pricing model, and can utilize preemptible VMs for reduced costs, making it a cost-effective option for running big data workloads.
  • Customizability
    Supports custom image management and initialization actions, allowing users to tailor clusters to meet specific needs.

Possible disadvantages

  • Complex Pricing
    Understanding and predicting costs can be challenging due to various pricing factors like cluster size, usage duration, and types of instances used.
  • Learning Curve
    Dataproc requires familiarity with Google Cloud and big data tools, which may present a steep learning curve for beginners.
  • Limited Customization Compared to Self-Managed
    While customizable, it may not offer as much flexibility and control as self-managed on-premises solutions, which can be limiting for highly specialized configurations.
  • Dependency on Google Cloud Ecosystem
    As a Google Cloud service, users are somewhat locked into the Google ecosystem, which may not be ideal for those using a multi-cloud strategy.
  • Potential Latency for Large Data Transfers
    Transferring large datasets between Dataproc and other services, especially across regions, might introduce latency issues.
  • Scheduling Software
  • Job Tracking
  • Inventory Management

Analysis

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

Google Cloud Dataproc
TillerStack

No analysis of Google Cloud Dataproc yet.

Overall verdict

  • I don't have verified, reliable information about TillerStack (tillerstack.com) in my knowledge base, so I can't confirm whether it's good or not. I'd be fabricating details if I gave a specific assessment of this product.

Why this product is good

  • I have no confirmed data on this specific company or product's features, pricing, or performance
  • I cannot verify claims made on the website without access to independent reviews, user feedback, or reliable third-party sources
  • Providing a verdict without accurate information could be misleading

Recommended for

  • Anyone considering this service should check the official website directly for current offerings and pricing
  • Look for independent reviews on platforms like Trustpilot, G2, or Capterra if applicable
  • Consider reaching out to their customer support with specific questions before committing
  • Check for verifiable case studies, testimonials, or third-party mentions to validate claims

Videos

Walkthroughs and reviews on video.

Google Cloud Dataproc 1 video + Add
TillerStack 0 videos + Add

Dataproc

No TillerStack videos yet. You could help us improve this page by suggesting one.

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
Google Cloud Dataproc
TillerStack
100% 100%
Data Dashboard
0% 0%
0% 0%
Field Service Management
100% 100%
100% 100%
Big Data
0% 0%
0% 0%
Service Management Software
100% 100%

User comments

Share your experience with using Google Cloud Dataproc and TillerStack. For example, how are they different and which one is better?

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Social recommendations and mentions

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

Google Cloud Dataproc 3 mentions
TillerStack 0 mentions
  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: over 3 years ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on... - Source: dev.to / over 4 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute... Source: over 4 years ago

Tracking TillerStack since Sep 2022.

Alternatives to Google Cloud Dataproc and TillerStack

When comparing Google Cloud Dataproc and TillerStack, you can also consider the following products.

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