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Presto DB VS ChartSays

Compare Presto DB VS ChartSays and see what are their differences

Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)

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

Browser-based statistics for quality engineering

Rating
0 reviews
Pricing
Freemium $14.9 / Monthly (Free $0 watermarked, no AI; $14.90/mo or $129/yr AI)
Alternatives Is it good?
Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI 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, Presto DB seems to be more popular. It has been mentioned 11 times since March 2021.

social mentions
11 vs 0
Data Dashboard popularity
100% vs 0%
alternatives listed
109 vs 3

Base details

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

Presto DB
ChartSays
Website prestodb.io chartsays.com
Pricing
Open source
Freemium $14.9 / Monthly (Free $0 watermarked, no AI; $14.90/mo or $129/yr AI) Official pricing
Platforms —
Web SaaS
Listed in
Database Tools Data Dashboard Big Data Analytics SQL Big Data Tools Big Data SQL Query Engine +4
Data Analysis Data Visualization Business Intelligence Quality Management Statistics +2

About Presto DB and ChartSays

In their own words, as submitted to SaaSHub.

Presto DB
ChartSays

No description of Presto DB yet.

ChartSays is a browser-based statistics platform for practical data analysis. Public tools include Cpk process capability, I-MR control limits, and balanced crossed Gage R&R calculations. Published sample reports cover comparisons, Pareto analysis, designed experiments, forecasting, and...

Read more about ChartSays

Features and specs

What each product offers, as listed by its team.

Presto DB 6 features
ChartSays 5 features
  • 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

  • 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.
  • Fast chart interpretation
    As I understand it, ChartSays uses AI to analyze trading charts and return a summary of trends, patterns, and key levels. This can save time compared with annotating charts by hand, especially for people who review many charts. I could not browse the site, so check the exact features there.
  • Beginner-friendly explanations
    Plain-language readouts of chart patterns and price action can help newer traders learn what they are looking at. It can work as a learning aid alongside their own study of technical analysis.
  • Simple workflow
    A tool built around uploading or submitting a chart and getting an analysis back typically has a low barrier to entry. Users usually need no complex setup, coding, or indicator configuration.
  • Second opinion for trade ideas
    The analysis can serve as an objective cross-check on your own read of a chart. It may surface patterns, support and resistance zones, or scenarios you overlooked, which can reduce some personal bias.
  • Works across markets and timeframes
    Chart-based analysis can generally be applied to stocks, crypto, forex, and other assets on different timeframes. This makes one tool useful for traders who follow several markets.

Analysis

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

Presto DB
ChartSays

Overall verdict

  • PrestoDB is considered a strong choice for organizations needing to perform fast and complex analytic queries. Its ability to execute SQL queries on big data at lightning speeds makes it an attractive tool for data-driven organizations. However, the choice of PrestoDB depends on specific use cases, existing infrastructure, and the team's familiarity with its architecture and operational demands.

Why this product is good

  • PrestoDB is a highly-regarded distributed SQL query engine that excels in speed and efficiency for querying large datasets. It's designed for running interactive analytic queries against data sources of all sizes. Some of its core strengths include its ability to query data across a wide variety of sources, scalability, and strong community support. It's often chosen for its capability to integrate seamlessly in environments requiring fast data processing and analysis without the need to move or transform data extensively.

Recommended for

    PrestoDB is ideal for technology firms, data-driven companies, and organizations in need of real-time data analytics. It is especially well-suited for those with existing big data frameworks (like Hadoop, Kafka, and Cassandra) who require a performant query engine to leverage large datasets efficiently. It's recommended for teams familiar with distributed systems who need the flexibility and speed offered by PrestoDB's architecture.

No analysis of ChartSays yet.

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
Presto DB
ChartSays
100% 100%
Data Dashboard
0% 0%
0% 0%
Statistics
100% 100%
100% 100%
Big Data Analytics
0% 0%
0% 0%
Business Intelligence
100% 100%

Questions & Answers

As answered by people managing Presto DB and ChartSays.

How would you describe the primary audience of your product?

ChartSays's answer:

We help operate ChartSays. It is designed for quality engineers, Six Sigma practitioners, and analysts who need to turn measurement data into understandable statistical results in a browser. Typical tasks include checking process capability with Cpk, monitoring individual measurements with I-MR control charts, and organizing a balanced crossed Gage R&R study using part, operator, trial, and measurement data. Worked sample reports help users inspect how results are presented and what needs care in interpretation. These are intended use cases, not a claim about current customers or a substitute for a correctly designed study. Explore the tools and sample reports at https://chartsays.com/.

What's the story behind your product?

ChartSays's answer:

ChartSays is an online statistical analysis product operated by Suzhou Jingye New Management Consulting Co., Ltd. It publishes traceable methods, worked examples, and chart-reading guidance for quality engineering and business analysis. The product documents 54 statistical methods, a glossary, and browser calculators that need no sign-in. Public calculators do not upload their inputs. Saving data, running the full analysis workflow, generating reports, and exporting them requires an account.

Why should a person choose your product over its competitors?

ChartSays's answer:

ChartSays is a web/SaaS product used in the browser. It is not presented as a substitute for any specific desktop statistics package. Public calculators and method pages are available without an account, while the full workspace needs a sign-in. Supported uploads are CSV, XLSX, TSV, and TXT. A free plan covers unlimited standard analyses with watermarked exports and no AI. Paid plans ($14.90/month or $129/year) add AI analysis and remove watermarks. The focus is quality engineering, Six Sigma work, and business analysis.

What makes your product unique?

ChartSays's answer:

ChartSays is browser-based statistics software for Six Sigma, quality engineering, and business analysis. It includes 54 statistical methods, chart-reading guides, and free public calculators that work without sign-in. Users can upload CSV, XLSX, TSV, or TXT files. Saving data and using the full analysis workspace requires an account. The free plan is $0 for unlimited standard analyses with watermarked exports and no AI. Paid plans are $14.90 per month or $129 per year and add AI analysis with exports that are not watermarked.

Which are the primary technologies used for building your product?

ChartSays's answer:

ChartSays is web/SaaS software used in the browser. No desktop install is required. Public calculators run without sign-in and do not upload their inputs. The full analysis workspace, including saved data, reports, and exports, requires an account. Users upload data as CSV, XLSX, TSV, or TXT files.

Who are some of the biggest customers of your product?

ChartSays's answer:

  • ChartSays does not publish a list of named customers.
  • The intended audience is quality engineers, Six Sigma practitioners, and analysts who need statistical results in a browser.
  • That describes intended use, not a claim about current customers.

User comments

Share your experience with using Presto DB and ChartSays. 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.

Presto DB 11 mentions
ChartSays 0 mentions
  • 15 AWS EMR Cost Optimization Tips to Slash Your EMR Spending (2025)
    AWS EMR (Elastic MapReduce) is a fully managed big data platform. It manages the setup, configuration, and tuning of open source frameworks like Apache Hadoop, Apache Spark, Apache Hive, Presto, and more at scale on AWS infrastructure.... - Source: dev.to / 10 months ago
  • 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 / over 1 year 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... - Source: dev.to / over 1 year ago

View more

Tracking ChartSays since Oct 2026.

Alternatives to Presto DB and ChartSays

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

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