Software Alternatives, Accelerators & Startups

Datacoves VS Tableau

Compare Datacoves VS Tableau and see what are their differences

Datacoves logo Datacoves

Managed dbt-core, VS Code in the browser, and Managed Airflow

Tableau logo Tableau

Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
  • Datacoves Landing page
    Landing page //
    2023-05-17

The Datacoves platform helps enterprises overcome their data delivery challenges quickly using dbt and Airflow, implementing best practices from the start without the need for multiple vendors or costly consultants.

  • Tableau Landing page
    Landing page //
    2023-10-18

Datacoves

Pricing URL
-
$ Details
paid Free Trial
Platforms
Dbt Airflow Snowflake Databricks
Release Date
2021 August

Datacoves features and specs

  • Data Extract and Load: Airbyte, Fivetran, Python
  • dbt Development: VS Code, Sqlfluff, dbt-checkpoint, data preview, etc
  • Documentation: Hosted dbt docs for Development and Production
  • Orchestration: Hosted Airflow on Kubernetes
  • DataOps: Github, Gitlab, Bitbucket, Jenkins
  • BI: Superset, Tableau, PowerBI, Qlik, Looker
  • Hosting Options: SaaS or Private Cloud deployment

Tableau features and specs

No features have been listed yet.

Datacoves videos

Demo and Interview by Demohub

More videos:

  • Review - Query Preview in Datacoves

Tableau videos

Power BI vs Tableau 🔥 5 Factors to Choose a Winner

More videos:

  • Review - What is Tableau Desktop? | A Tableau Desktop Overview
  • Demo - Tableau Software Demo

Category Popularity

0-100% (relative to Datacoves and Tableau)
Data Integration
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Web Service Automation
100 100%
0% 0
Business Intelligence
0 0%
100% 100

Questions and Answers

As answered by people managing Datacoves and Tableau.

What makes your product unique?

Datacoves's answer

We provide the flexibility and integration most companies need. We help you connect EL to T and Activation, we don't just handle the transformation and we guide you to do things right from the start so that you can scale in the future. Finally we offer both a SaaS and private cloud deployment options.

Why should a person choose your product over its competitors?

Datacoves's answer

Do you need to connect Extract and Load to Transform and downstream processes like Activation? Do you love using VS Code and need the flexibility to have any Python library or VS Code extension available to you? Do you want to focus on data and not worry about infrastructure? Do you have sensitive data and need to deploy within your private cloud and integrate with existing tools? If you answered yes to any of these questions, then you need Datacoves.

How would you describe your primary audience?

Datacoves's answer

Mid to Large size companies who value doing things well.

What's the story behind your product?

Datacoves's answer

Our founders have decades of experience in software development and implementing data platforms at large enterprises. We wanted to cut through all the noise and enable any team to deploy an end-to-end data management platform with best practices from the start. We believe that having an opinion matters and helping companies understand the pros and cons of different decisions will help them start off on the right path. Technology alone doesn't transform organizations.

Who are some of the biggest customers of your product?

Datacoves's answer

  • Johnson & Johnson
  • Janssen
  • Kenvue
  • Orrum

User comments

Share your experience with using Datacoves and Tableau. 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 Datacoves and Tableau

Datacoves Reviews

  1. All the data tools you need to run a world class team in one place

    I manage analytics for a small SaaS company. Datacoves unlocked my ability to do everything from raw data to dashboarding all without me having to wrangle multiple contracts or set up an on-prem solution. I get to use the top open source tools out there without the headache and overhead of managing it myself. And their support is excellent when I run into any questions.

    Cannot recommend highly enough for anyone looking to get their data tooling solved with a fraction of the effort of doing it themselves.

    🏁 Competitors: Keboola
    👍 Pros:    Quick and easy implementation|Scalable|Easy to use
    👎 Cons:    Small company
  2. Best-in-class open-source tools for the modern datastack, seamlessly integrated

    The most difficult part of any data stack is to establish a strong development foundation to build upon. Most small data teams simply cannot afford to do so and later pay the penalty when trying to scale with a spaghetti of processes, custom code, and no documentation. Datacoves made all the right choices in combining best-in-class tools surrounding dbt, tied together with strong devops practices so that you can trust in your process whether you are a team of one or a hundred and one.

    👍 Pros:    Powerful development environments|Seamless|Great customer support

Tableau Reviews

Top 10 AI Data Analysis Tools in 2024
Tableau Pulse, powered by Tableau AI, focuses on enhancing the user experience by delivering smart, personalized, and contextually relevant insights directly within the user's workflow. Leveraging the generative AI capabilities of Tableau AI, Tableau Pulse answers user queries and proactively suggests new questions, enriching the analytical process with automated analytics...
Source: powerdrill.ai
Embedded analytics in B2B SaaS: A comparison
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our criteria (based on the evaluation matrix).
Source: medium.com
25 Best Statistical Analysis Software
Tableau is a top tool for data visualization that offers an easy-to-use interface and a comprehensive range of customization options. These features enable users to create compelling visualizations of their data.
Best 8 Redash Alternatives in 2023 [In Depth Guide]
Tableau is designed for everyone, including analysts, executives, and IT personnel needing a platform to process and examine data to find insights and share them with other team members via KPI dashboards.
Source: www.datapad.io
8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI
We’ve written articles on this tool before. Read more about Tableau alternatives, and Tableau server alternatives for self-hosted tools.
Source: trevor.io

Social recommendations and mentions

Based on our record, Tableau should be more popular than Datacoves. It has been mentiond 8 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.

Datacoves mentions (2)

  • What are your thoughts on dbt Cloud vs other managed dbt Core platforms?
    Dbt Cloud rightfully gets a lot of credit for creating dbt Core and for being the first managed dbt Core platform, but there are several entrants in the market; from those who just run dbt jobs like Fivetran to platforms that offer more like EL + T like Mozart Data and Datacoves which also has hosted VS Code editor for dbt development and Airflow. Source: about 1 year ago
  • dbt Core + Azure Data Factory
    Check out datacoves.com more flexibility. Source: about 1 year ago

Tableau mentions (8)

  • Tableau Certified Data Analyst Exam Readiness
    Hey everyone, I'm interested in taking the Tableau Certified Data Analyst Exam Readiness course through tableau.com to prepare and get Tableau certified. I had some questions about the course, such as are the videos pre recorded or in person, do you have access to the material once the 90 days expire, and I was also wondering if anyone had input/advice for this course. Thanks! Source: 11 months ago
  • Where to publish knowledge sharing on Tableau reverse engineering and data dictionary generation?
    Could anyone recommend what media I should approach to publish my work (internet or print). I could try the Tableau forum in tableau.com but it's not very active + Tableau may be unappreciative as my work overlaps with their (pricey) data management solution. Plus it needs to be some high visibility / reputable media to count for my career development. Any recommendations welcome thanks!!! Source: over 1 year ago
  • I have huge loads of data in Redshift. How can I make this available to end-users after performing few procs and queries? It should be available online.
    Tableau public: tableau.com. Big player but your data will be made public and not really user-friendly data model. Source: over 2 years ago
  • What tips do you have on evaluating various BI tools for business needs? What are the essential criteria's you would include when evaluating different tools? The goal is to have an unbiased, objective approach.
    For example, we have a project to compare Tableau, Power BI, and InetSoft. The need for strong pagination-based email delivery eliminated Tableau. AWS's Linux instance is the targeted platform which makes Power BI less than ideal. Source: over 2 years ago
  • Anyone go into Data Analytics after this program?
    I just started learning Tableau because our dept is transitioning into Tableau from Power BI. Since I already have years of experience with Power BI I just went over their tutorials from tableau.com and got onboarded pretty quick. I'm still learning it but I'm at least able to build out reports and get things done. Its not too difficult to pickup one BI tool when you have experience with another. Source: over 2 years ago
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What are some alternatives?

When comparing Datacoves and Tableau, you can also consider the following products

dbt - dbt is a data transformation tool that enables data analysts and engineers to transform, test and document data in the cloud data warehouse.

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

CData Sync - Straightforward data synchronizing between on-premise and cloud data sources with a wide range of traditional and emerging databases.

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.

Mozart Data - The easiest way for teams to build a Modern Data Stack

Sisense - The BI & Dashboard Software to handle multiple, large data sets.