Data scientists need effective software where they can develop their machine learning software systems. With data science platform software, they can help create smarter systems that power developing software. Here are some of the best data science platform software available right now.

10+ Best Data Science Platform Software

1. Sisense for Cloud Data Teams

sisense for cloud data teams

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Rating: 4.3/5

Price: $4500/Month

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2. Anaconda

anaconda

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Rating: 4.6/5

Price: Free

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3. Rapid Insight Veera

rapid insight veera

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Rating: 5/5

Price: $4000/Year

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4. Alteryx Analytics

alteryx analytics

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Rating: 4.7/5

Price: Free

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5. RapidMiner Studio

rapidminer studio

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Rating: 5/5

Price: Custom

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6. Dataiku DSS

dataiku dss

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Rating: 5/5

Price: Custom

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7. KNIME Analytics Platform

knime analytics platform

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Rating: 4.7/5

Price: $14,500/year

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8. GoodData

gooddata

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Rating: 4.4/5

Price: $2400/year

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9. TARGIT Decision Suite

targit decision suite

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Rating: 4.5/5

Price: $15000.00/Year

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10. TrendMiner

trendminer

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Rating: 4.8/5

Price: Custom

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11. TIMi Suite

timi suite

Details

Rating: 4.9/5

Price: Free

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What Is Data Science Platform Software?

Data science platform software is a machine learning software that allows users to develop, operate and monitor artificial intelligence algorithms. The data science software combines artificial intelligence software capabilities and automated decision-making powered by data that generates solutions for users to address and resolve issues.

Benefits

Data science platform software allows users to generate smart responses that help them guide to make well-informed decisions backed by data. The data science software as a service platform also provides algorithm templates that simplify the workflows within the software such as drag and drop software capabilities. The software engineering vs data science software also connects data to an end solution that can provide clear visual interfaces and extensive knowledge. The software’s algorithms are diverse as they can help users with image recognition, recommendation systems, voice recognition, and more. The software also allows users to get their solutions easily without the need for intensive data science skills, making the software more open to those not familiar with data science.

Features

Data science platform software should provide developers with a system to connect data to the algorithm of the software for machine learning to learn and adapt through constant updates of data. The software used in data science should also allow users to create and edit machine learning algorithms based on changing data. The software for data science should also provide machine learning algorithm templates for use by less-experienced user developers. The data science software tools should be able to deploy artificial intelligence to applications, servers, databases, etc.

  • Connect data to machine learning
  • Create and edit machine learning algorithms
  • Machine learning algorithm templates
  • Deploy artificial intelligence

Top 10 Data Science Platform Software

1. KNIME Analytics Platform

KNIME Analytics Platform provides data science analytics software that helps data scientists to analyze their data effectively with its extensive tools. KNIME has 168 employees and earns annual revenue of $25.9 million.

2. Alteryx Analytics

Alteryx Analytics helps data scientist users to automate data preparation and analytics with its machine learning capabilities. Alteryx has 2,251 employees and earns annual revenue of $522.9 million.

3. Sisense for Cloud Data Teams

Sisense for Cloud Data Teams helps data scientists to empower themselves with its unifying data science software. Sisense has 836 employees and earns annual revenue of $167.4 million.

4. GoodData

GoodData provides reliable business intelligence software that is fast and easy to use with its highly accurate reports. GoodData has 363 employees and earns annual revenue of $64.5 million.

5. Anaconda

Anaconda’s data science software allows users to provide an easier way to study data with its machine learning software capabilities. Anaconda has 181 employees and earns annual revenue of $27.2 million.

6. RapidMiner Studio

RapidMiner Studio provides a data science software that is comprehensive and allows for visualization of workflow design with its automation tools. RapidMiner has 108 employees and earns annual revenue of $15.1 million.

7. TARGIT Decision Suite

TARGIT Decision Suite’s software helps companies to integrate and visualize their data easily and faster with its centralized software. TARGIT has 101 employees and earns annual revenue of $14.6 million.

8. TrendMiner

TrendMiner provides industrial analytics software that helps the next generation to increase their productivity. TrendMiner has 83 employees and earns annual revenue of $12 million.

9. TIMi Suite

TIMi Suite flourishes creatively which is effective and efficient for data analysts in visualizing their data. TIMi has around 25 employees and earns a revenue of around $5 million.

10. Rapid Insight Veera

Rapid Insight Veera’s data analytics software is easy to use with its accessible yet powerful data predictive analytics and reporting software. Rapid Insight has 19 employees and earns annual revenue of $2.8 million.

FAQ

Is data science platform software similar to platforms as a service software?

While they both share similar features and tools, data science platforms and platforms as a service provide different functionalities as they utilize artificial intelligence differently.

What kind of algorithms can data science platform software perform?

Data science platform software has various algorithms that include machine learning, natural language processing, vocal recognition, image recognition, and many more.

How much does data science platform software cost?

Pricing for data science platform software can range from free to $15,000 per year or more with some software offering custom pricing which increases its pricing as it offers more features through subscription tiers. Pricing for data science platform software varies depending on the features available and the intended users. Small companies may benefit from free or low-cost data science platform software while large companies may benefit from high-cost data science platform software.

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