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Toucan Toco VS PostgreSQL

Compare Toucan Toco VS PostgreSQL and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Toucan Toco logo Toucan Toco

Toucan is a customer-facing analytics platform that empowers companies to drive engagement with data storytelling. With the best customizable end-user experience across any device, over 4 million Toucan stories are viewed each year.

PostgreSQL logo PostgreSQL

PostgreSQL is a powerful, open source object-relational database system.
  • Toucan Toco Landing page
    Landing page //
    2023-05-22

Toucan is a customer-facing analytics platform that empowers companies to drive engagement with data storytelling. Features include:

  1. Guided data visualization, allowing the user to focus on the story to be told rather than on chart selection, layout, etc.

  2. An App Gallery that provides dozens of starter apps (including sample data) that a user can use either as is or as the starting point for creating a customized set of dashboards

  3. Embedding can be performed by even novice users and is available as web components or iFrames

  4. Deployment to all modes โ€” desktop web, smartphones, tablets, wall displays, and kiosks โ€” is done in just a few clicks and with no extra development work

  5. Hundreds of included interactive and animated charts combined with a thoroughly modern UI make Toucan one of the best-looking platforms on the market

  6. Hundreds of included connectors make adding data sources โ€” cloud, on-premises, stored, or streaming โ€” quick and easy

As a result, Toucan has been rated the #1 Easiest to Use Platform on G2 Crowd and is used 3x the industry average.

  • PostgreSQL Landing page
    Landing page //
    2023-10-21

Toucan Toco features and specs

  • Guided Analytics
    Toucan makes analytics accessible to business users by provisioning the guidance they need to use data for decision-making without the need for training. Business users are walked through the selection of data, charts, and layouts quickly so that the focus is on the data story, not the design mechanics. All charts and visualizations contain critical context such as definitions and sources as well as actions such as annotations and collaboration either inside Toucan or in tools like Slack or MS Teams. Best For: Business users that need to see consistent analytics to track performance rather than perform ad hoc data exploration
  • Embedded Analytics
    The Toucan platform allows easy embedding into SaaS products using either web components or iFrames and can be performed by even non-expert users. Changes can be moved from staging to production with a single toggle and the platform contains robust adoption management tools for on-boarding and the automation of core user management tasks. Extensive white-labeling customization capabilities allow customers to make the end experience look and feel like an extension of the company brand and include color palettes, typefaces, languages, logos, and background imagery. Best For: Product teams that want to extend analytics to customers or partners, including collaboration, annotation, and storytelling capabilities without extensive development
  • Easy Data Connections
    Toucan includes hundreds of connectors for all manner of data sources including Snowflake, MongoDB, Excel, Salesforce, and others. Connectors are easily configured by business users and no code is needed to perform data connections. Best For: Business users that need to add new data sources with the need for IT support
  • Guided Data Preparation
    Toucan's YouPrepโ„ข data pipeline allows users to perform joins, slices, pivots, & melts easily and code-free. Ad hoc transformations are supported for evolution computation, date aggregation, ranks, and other critical statistics as are complex, multi-way joins. Python can also be used to extend Toucanโ€™s data prep capabilities. Best For: Business users that need to prepare data by summing, aggregating, or creating new metrics but donโ€™t have time to wait for technical support or training on complex specialist tools

PostgreSQL features and specs

  • Open Source
    PostgreSQL is an open-source database management system, which means it is free to use, modify, and distribute. This reduces the cost of database management for individuals and organizations.
  • ACID Compliance
    PostgreSQL is fully ACID (Atomicity, Consistency, Isolation, Durability) compliant, ensuring reliable transactions and data integrity.
  • Extensible
    PostgreSQL is highly extensible, allowing users to add custom functions, data types, and operators. This enables tailored solutions to specific requirements.
  • Advanced SQL Features
    PostgreSQL supports advanced SQL features like full-text search, JSON and XML data types, and complex queries, providing powerful tools for database operations.
  • Community Support
    There is a strong and active community around PostgreSQL, offering extensive documentation, forums, and collaborative support, which aids troubleshooting and development.
  • Multiple Indexing Techniques
    PostgreSQL offers a variety of indexing techniques such as B-tree, GIN, GiST, and BRIN, allowing for optimized query performance on various data types.
  • Cross-Platform Availability
    PostgreSQL runs on all major operating systems (Windows, MacOS, Linux, Unix), giving flexibility in deployment and development environments.

Possible disadvantages of PostgreSQL

  • Complex Configuration
    Setting up and configuring PostgreSQL can be complex and time-consuming, especially for beginners, requiring a good understanding of its parameters and best practices.
  • Heavy Resource Consumption
    PostgreSQL can be resource-intensive, consuming significant CPU and memory compared to other database systems, which may affect performance on lower-end hardware.
  • Backup and Restore Process
    The backup and restore process in PostgreSQL is not as straightforward as in some other database systems, requiring more manual intervention and understanding of tools like pg_dump and pg_restore.
  • Replication Complexity
    While PostgreSQL supports replication, setting it up can be more complex than some other databases. Advanced configurations like multi-master replication can be particularly challenging.
  • Steeper Learning Curve
    Due to its advanced features and extensive capabilities, PostgreSQL can have a steeper learning curve, making it harder for new users to get started compared to simpler database systems.
  • Less Third-Party Tool Support
    PostgreSQL has less support from third-party tools compared to more widely adopted databases like MySQL, which can limit options for auxiliary functions like administration, monitoring, and development.

Analysis of PostgreSQL

Overall verdict

  • Yes, PostgreSQL is considered a high-quality and reliable database management system, suitable for a wide range of applications, from small-scale personal projects to large enterprise systems.

Why this product is good

  • PostgreSQL is known for its strong support of SQL standards and excellent documentation, making it reliable for complex database requirements.
  • It provides advanced features such as multi-version concurrency control (MVCC), point-in-time recovery, and support for advanced indexing techniques.
  • PostgreSQL offers robust performance optimization options, powerful extensions, and a highly customizable platform.
  • It has a strong open-source community, ensuring ongoing improvements and support.
  • PostgreSQL is compatible with popular development frameworks and languages, enhancing its versatility.

Recommended for

  • Organizations seeking a scalable and stable database solution with strong compliance with SQL standards.
  • Developers who need advanced features like custom data types and indexing capabilities.
  • Projects requiring robust transactional integrity and data consistency.
  • Businesses looking for a cost-effective open-source database solution with active community support.

Toucan Toco videos

+ Add

Toucan: Powerfully Easy Analytics for Business Users

More videos:

  • Demo - Toucan Distribution Center
  • Demo - Data Storytelling with Toucan

PostgreSQL videos

+ Add

Comparison of PostgreSQL and MongoDB

More videos:

  • Review - PostgreSQL Review
  • Review - MySQL vs PostgreSQL - Why you shouldn't use MySQL

Category Popularity

0-100% (relative to Toucan Toco and PostgreSQL)

Toucan Toco

PostgreSQL

Development
100 100%
Development
0% 0
Databases
0 0%
Databases
100% 100
Online Services
100 100%
Online Services
0% 0
Relational Databases
0 0%
Relational Databases
100% 100

User comments

Share your experience with using Toucan Toco and PostgreSQL. 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 Toucan Toco and PostgreSQL

Toucan Toco Reviews

5 Metabase Alternatives You Don't Need a PhD to Use
Fully cloud-based, the platform was designed with one goal in mind: reduce the complexity of bringing insights from data to business users. From data connections to the distribution of insights anywhere they're needed, Toucan makes it easy and, as a result, sees the highest user adoption in the industry (80+%).
Source: www.toucantoco.com

PostgreSQL Reviews

Database Management Systems (DBMS) Comparison: SQL Server, MySQL, PostgreSQL, MongoDB, Oracle
Choosing the right database management system (DBMS) is a crucial decision that directly impacts your projectโ€™s performance and scalability. With a variety of options โ€” SQL Server, MySQL, PostgreSQL, MongoDB, Oracle, and more โ€” each offering unique features and capabilities, itโ€™s important to carefully match the type of database software to your specific needs. Consider...
Source: blog.devart.com
20 Best Database Management Software and Tools of 2026
Yes, several tools, such as MySQL, PostgreSQL, and MongoDB, offer free versions. While these are robust, enterprise editions or add-ons may come with additional costs for advanced features and support.
Source: infomineo.com
Data Warehouse Tools
Peliqan acts as a bridge, allowing you to e.g. effortlessly pull your PostgreSQL data into Google Sheets for easy access and analysis using its one-click connector. Additionally, Peliqanโ€™s platform provides a user-friendly environment for data exploration, transformation with Magical SQL, and visualization capabilities, all without needing to switch between multiple tools.
Source: peliqan.io
Top 5 BigQuery Alternatives: A Challenge of Complexity
For over three decades, the open-source object-relational database system PostgreSQL has maintained its reputation as a top SQL server due to its features, performance, and reliability. (Heck, Redshift is even based on Postgres!) It's the go-to database solution for large corporations and organizations across a variety of industries from ecommerce to gaming to...
Source: blog.panoply.io
10 Best Database Management Software Of 2022 [+ Examples]
Applications Manager offers out-of-the-box health and performance monitoring for 20 popular databases including RDBMS, NoSQL, in-memory, distributed, and big data stores. It supports both commercial databases such as Oracle, Microsoft SQL, IBM DB2, and MongoDB as well as open source ones like MySQL and PostgreSQL.
Source: theqalead.com

Social recommendations and mentions

Based on our record, PostgreSQL seems to be more popular. It has been mentiond 19 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.

Toucan Toco mentions (0)

We have not tracked any mentions of Toucan Toco yet. Tracking of Toucan Toco recommendations started around Aug 2021.

PostgreSQL mentions (19)

  • Create an API - Project Setup
    In this new series we will be creating an API written in go, using a framework like Chi, connecting to a PostgreSQL, and have it deployed to a site like Railway. - Source: dev.to / 3 months ago
  • PostgreSQL vs MySQL 2026: Which Database Wins for Modern Apps?
    PostgreSQL 17 Performance Guide โ€” Official docs for the latest performance improvements. - Source: dev.to / 4 months ago
  • #5 - 'The Power of [Separation] Compels You!'
    You also might be saying, Why not include the credit and attribution data with the product data and just use one data file? Thats a great question. I could have for the purpose of this demo, but if there were a backend to this project and a relational database like PostgreSQL attached to it, I would still have both sets of data in separate tables in the database. By using a foreign key between related records in... - Source: dev.to / 10 months ago
  • Convert insert mutation to upsert
    In this quick post, weโ€™ll walk through implementing an Upsert operation in Hasura using PostgreSQL and GraphQL. - Source: dev.to / almost 2 years ago
  • Perfect Elixir: Environment Setup
    Iโ€™m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / over 2 years ago
View more

What are some alternatives?

When comparing Toucan Toco and PostgreSQL, you can also consider the following products

Phocas - Data analytics software for businesses in wholesale distribution, manufacturing, and retail.

MySQL - The world's most popular open source database

AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.

SQLite - SQLite Home Page

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