Software Alternatives, Accelerators & Startups

Tibco Data Science VS Algorithmia

Compare Tibco Data Science VS Algorithmia and see what are their differences

Tibco Data Science logo Tibco Data Science

Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...

Algorithmia logo Algorithmia

Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
  • Tibco Data Science Landing page
    Landing page //
    2022-10-04
  • Algorithmia Landing page
    Landing page //
    2023-09-14

Algorithmia

$ Details
Release Date
2014 January
Startup details
Country
United States
State
Washington
City
Seattle
Founder(s)
Diego Oppenheimer
Employees
10 - 19

Tibco Data Science videos

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Algorithmia videos

How To Color Black and White Photos Automatically: Algorithmia Review

More videos:

  • Tutorial - How to Colorize Black and White photos online - Algorithmia Review (TopTen AI)
  • Review - Algorithmia | Getting started: Pipelines and MLOps

Category Popularity

0-100% (relative to Tibco Data Science and Algorithmia)
Technical Computing
100 100%
0% 0
Data Science And Machine Learning
Business & Commerce
100 100%
0% 0
Data Science Notebooks
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Tibco Data Science and Algorithmia

Tibco Data Science Reviews

Top 7 Predictive Analytics Tools
TIBCO Data Science/Statistica puts the emphasis on usability, with a lot of collaboration and workflow features built into the tool to make business intelligence possible across an organization. This makes it a good choice for a company if they expect lesser-trained staff will use the tool. It also integrates with a wide range of other analytics tools, making it easy to...
15 data science tools to consider using in 2021
The development of SAS started in 1966 at North Carolina State University; use of the technology began to grow in the early 1970s, and SAS Institute was founded in 1976 as an independent company. The software was initially built for use by statisticians -- SAS was short for Statistical Analysis System. But, over time, it was expanded to include a broad set of functionality...
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: TIBCO offers an expansive product portfolio for modern BI, descriptive and predictive analytics, and streaming analytics and data science. TIBCO Data Science lets users do data preparation, model building, deployment and monitoring. It also features AutoML, drag-and-drop workflows, and embedded Jupyter Notebooks for sharing reusable modules. Users can run...

Algorithmia Reviews

We have no reviews of Algorithmia yet.
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Social recommendations and mentions

Based on our record, Algorithmia seems to be more popular. It has been mentiond 5 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.

Tibco Data Science mentions (0)

We have not tracked any mentions of Tibco Data Science yet. Tracking of Tibco Data Science recommendations started around Mar 2021.

Algorithmia mentions (5)

What are some alternatives?

When comparing Tibco Data Science and Algorithmia, you can also consider the following products

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

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.

MCenter - Machine Learning Operationalization