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Presto DB VS Asklayer

Compare Presto DB VS Asklayer and see what are their differences

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Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)

Asklayer logo Asklayer

Get real answers from your customers with Asklayers surveys, quizzes, polls and more. Works on any website with zero code and includes enterprise level features such auto-segmentation, user tagging, branching, NPS & CSAT calculation.
  • Presto DB Landing page
    Landing page //
    2023-03-18
  • Asklayer Get more answers and better data
    Get more answers and better data //
    2024-03-21
  • Asklayer Easy to get started with many built in strategies such as post-purchase feedback and NPS surveys
    Easy to get started with many built in strategies such as post-purchase feedback and NPS surveys //
    2024-03-21
  • Asklayer Segment users easily based on their answers
    Segment users easily based on their answers //
    2024-03-21
  • Asklayer Easy drag and drop builder with skip logic
    Easy drag and drop builder with skip logic //
    2024-03-21
  • Asklayer Pro reporting available for every survey
    Pro reporting available for every survey //
    2024-03-21

Presto DB features and specs

  • High-Performance Query Engine
    Presto is designed for high-performance querying, capable of performing complex analytics and large-scale data processing at interactive speeds.
  • Distributed SQL Query Engine
    Presto can scale out to large clusters of machines, allowing for efficient distribution of queries over multiple servers to handle big data workloads.
  • Versatility
    Supports querying data from multiple data sources such as Hadoop, relational databases, NoSQL databases, and cloud object storage within a single query.
  • ANSI-SQL Compatibility
    Presto supports ANSI SQL, making it easier for users familiar with SQL to adapt and write queries without a steep learning curve.
  • Open Source
    Presto is an open-source project, which means it benefits from continuous community contributions and improvements, keeping it up-to-date and robust.
  • Extensible
    Presto's architecture is designed to be extensible, allowing users to add custom functions and connectors, tailored to specific needs.

Possible disadvantages of Presto DB

  • Resource Intensive
    High performance comes with significant resource requirements, necessitating robust infrastructure to realize its full potential.
  • Complex Configuration
    Setting up and configuring Presto can be complex and time-consuming, often requiring expertise and an understanding of its various components.
  • Limited Support for Transactions
    Presto is primarily designed for reading data and performing analytics, and it has limited support for transactional processing compared to traditional relational databases.
  • Community Support
    While it has a vibrant open-source community, users may find the support less comprehensive than that provided by commercial enterprise solutions.
  • Latency for Small Queries
    Designed for big data and complex queries, Presto may exhibit higher latency for small, simple queries compared to specialized databases optimized for such use cases.
  • Maintenance Overhead
    Managing and maintaining a Presto cluster can be labor-intensive, requiring ongoing tuning and maintenance to ensure optimal performance and reliability.

Asklayer features and specs

  • User-Friendly Interface
    AskLayer provides a clean and intuitive interface that is easy to navigate, making it accessible for users with varying levels of technical expertise.
  • Comprehensive Feature Set
    The platform offers a wide range of features, including note-taking, task management, and collaborative tools, which enhance productivity and organization.
  • Integration Capabilities
    AskLayer can integrate with several other tools and platforms, enabling seamless workflow and data synchronization between different applications.
  • Real-Time Collaboration
    AskLayer allows multiple users to collaborate on the same projects in real time, facilitating teamwork and efficient project management.
  • Data Security
    The platform prioritizes data security with strong encryption and privacy measures to protect user data from unauthorized access.

Possible disadvantages of Asklayer

  • Pricing Structure
    AskLayer has a tiered pricing model that may become expensive for larger teams or organizations, especially if they require access to advanced features.
  • Limited Offline Functionality
    Some features of AskLayer may not be available or fully functional when offline, which could be a limitation for users who need constant access.
  • Learning Curve
    New users might experience a learning curve due to the comprehensive feature set, which could take time to fully master.
  • Performance Issues
    There may be occasional performance lags, especially when handling large projects with multiple collaborators or integrations.
  • Feature Overlap
    For some users, the extensive feature set might lead to redundancy or overlap with existing tools they already use, creating potential inefficiencies.

Category Popularity

0-100% (relative to Presto DB and Asklayer)

Presto DB

Asklayer

Data Dashboard
100 100%
Data Dashboard
0% 0
Customer Feedback
0 0%
Customer Feedback
100% 100
Database Tools
100 100%
Database Tools
0% 0
Forms And Surveys
0 0%
Forms And Surveys
100% 100

Questions and Answers

As answered by people managing Presto DB and Asklayer.

What's the story behind your product?

Asklayer's answer:

Asklayer is built by a team of experts from Japan and was created out of frustration with low response rates associated with traditional surveys. We found that most users hate surveys, however they are willing to answer a few questions.

So we created Asklayer, a micro-survey tool that presents itself as simple questions to the user to reduce friction and increase response rates. Unlike traditional surveys we collect data after every question so even if the user abandons part way, you still get answers and a measure of the drop-off point.

The results of all these efforts is a much better user experience, a greatly increased response rate and a much greater total volume of data collected.

Who are some of the biggest customers of your product?

Asklayer's answer:

  • Walmart
  • Dyson
  • NZXT
  • Bloom
  • Japan national airline
  • City of Kanagawa

User comments

Share your experience with using Presto DB and Asklayer. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Presto DB and Asklayer

Presto DB Reviews

We have no reviews of Presto DB yet.
Be the first one to post

Asklayer Reviews

  1. ShopifyPros
    Using this on 3x of my clients sites

    It's flexible and does most things well. Support is amazing, they even added a feature for me!

    👍 Pros:    Branching and skip logic|Lightweight|Great customer support|Detailed reports|Bulk export
    👎 Cons:    None
  2. melbourneGuy
    Fantastic UX, best response rate out of tested tools.

    Got a really high response rate. I used this in tandem with Promolayer on my EC site for CRO. I did a 'whats missing from this product description' type survey + post purchase + product follow-up email and frankly, it's been amazing. I spent about 2 years trying to figure out my direction via analytics and heatmapping when I should have just been talking to my users the whole time.

    👍 Pros:    Easy user interface|Great user experience|Highly customizable|Great customer support|Generates good responses|Just great!!!|Detailed reports|Reasonable pricing|Easy integration|Clear and intuitive dashboard
    👎 Cons:    None so far
  3. hridoy78

Social recommendations and mentions

Based on our record, Presto DB seems to be more popular. It has been mentiond 10 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.

Presto DB mentions (10)

  • Data Warehouses and Data Lakes: Understanding Modern Data Storage Paradigms 📦
    Follow Presto at Official Website, Linkedin, Youtube, and Slack channel to join the community. - Source: dev.to / 13 days ago
  • Introduction to Presto: Open Source SQL Query Engine that's changing Big Data Analytics
    In today's data-driven world, organizations face a constant challenge: how to analyse massive datasets quickly and efficiently without moving data between disparate systems. Presto, an open-source distributed SQL query engine that's revolutionizing how we approach big data analytics. - Source: dev.to / 13 days ago
  • Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
    Presto: Presto is an open-source distributed SQL query engine that enables querying data from various sources. It provides fast and interactive analytics capabilities, supporting a wide range of data formats and integration with different storage systems. - Source: dev.to / 28 days ago
  • Using IRIS and Presto for high-performance and scalable SQL queries
    The rise of Big Data projects, real-time self-service analytics, online query services, and social networks, among others, have enabled scenarios for massive and high-performance data queries. In response to this challenge, MPP (massively parallel processing database) technology was created, and it quickly established itself. Among the open-source MPP options, Presto (https://prestodb.io/) is the best-known... - Source: dev.to / 4 months ago
  • Parsing logs from multiple data sources with Ahana and Cube
    Presto is an open-source distributed SQL query engine, originally developed at Facebook, now hosted under the Linux Foundation. It connects to multiple databases or other data sources (for example, Amazon S3). We can use a Presto cluster as a single compute engine for an entire data lake. - Source: dev.to / almost 3 years ago
View more

Asklayer mentions (0)

We have not tracked any mentions of Asklayer yet. Tracking of Asklayer recommendations started around Mar 2024.

What are some alternatives?

When comparing Presto DB and Asklayer, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Ask User - User surveys without stress

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

Doorbell.io - Collect in-app user feedback. Available on websites, iOS, and Android.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Survey Monkey - Create and publish online surveys in minutes, and view results graphically and in real time. SurveyMonkey provides free online questionnaire and survey software.

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