Altair Knowledge Studio surpasses its competitors by offering an intuitive interface with robust predictive analytics, automation features, and seamless data integration, enabling users to quickly build accurate models and make informed decisions effortlessly.
Databricks is a platform for large-scale data processing, analytics, and machine learning. Organizations use it for ETL, real-time streaming, and big data management across Azure and AWS. Features include user-friendly interface, Delta Lake data transformation, flexibility with multiple languages, and collaborative notebooks, enhancing productivity and team collaboration.
Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.
I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.
Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.
I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.
IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.
If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer.
More affordable training for new staff members.
If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer.
More affordable training for new staff members.
Dataiku Data Science Studio is a multifaceted platform praised for its ability to tackle complex data tasks across various industries. It serves several core functions: advanced analytics for creating predictive models, data preparation involving cleansing and integration, and machine learning project support from design to deployment. Users also utilize Dataiku for data visualization and reporting, enhancing decision-making and insight sharing.
Key features include an intuitive visual interface that simplifies data pipeline construction without extensive coding, and compatibility with multiple data science languages like Python, R, and SQL, promoting teamwork. The platform's robust automation and scalability support large datasets and complex algorithms, benefiting organizations by enhancing efficiency, teamwork, and productivity, while also helping achieve business goals and cost savings.
Pricing is pretty steep. Dataiku is also not that cheap.
Pricing is pretty steep. Dataiku is also not that cheap.
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation.
The support costs are 10% of the Amazon fees and it comes by default.
The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation.
The support costs are 10% of the Amazon fees and it comes by default.
Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.
From a developer's perspective, I find the price of this solution high.
The licensing cost is very cheap. It's less than $50 a month.
From a developer's perspective, I find the price of this solution high.
The licensing cost is very cheap. It's less than $50 a month.
IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.
Watson Studio's pricing is reasonable for what you get.
IBM Watson Studio is an expensive solution.
Watson Studio's pricing is reasonable for what you get.
IBM Watson Studio is an expensive solution.
Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.
Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.
It is affordable for us because we have a limited number of users.
The pricing is quite reasonable, and I would give it a rating of four out of ten.
It is affordable for us because we have a limited number of users.
The pricing is quite reasonable, and I would give it a rating of four out of ten.
This solution is for large corporations because not everybody can afford it.
The solution must improve its licensing models.
This solution is for large corporations because not everybody can afford it.
The solution must improve its licensing models.
Saturn Cloud is a cloud-based data science and machine learning platform that provides a scalable, flexible, and easy-to-use environment for data scientists and machine learning engineers. Saturn Cloud offers a variety of features and tools for data science, including: Compute resources (including CPUs, GPUs, and Dask clusters), Storage (object, block, and ephemeral storage), Networking, a variety of integrations with ML tools such as JupyterLab, RStudio, and TensorFlow.
Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis.
The product is expensive.
The product is expensive.
Starburst Galaxy connects to data sources like Amazon S3 and SQL Server for seamless query and analysis. It supports machine learning, efficient data handling, and cross-database querying. Users value its user-friendly interface, Warp Speed, federated querying, and Trino optimization but seek better Tableau integration and enhanced monitoring.
We have a single user license. Support and add-ons are an extra fee.
The pricing for the software itself is reasonable, and I didn't encounter any additional costs beyond the initial purchase or license.
We have a single user license. Support and add-ons are an extra fee.
The pricing for the software itself is reasonable, and I didn't encounter any additional costs beyond the initial purchase or license.
TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.
SparkCognition builds leading artificial intelligence solutions to advance the most important interests of society. We help customers analyze complex data, empower decision making, and transform human and industrial productivity with award-winning machine learning technology and expert teams focused on defense, IIoT, and finance.
As far as I understand, my company is not paying anything to use the product.
I believe our cost is $1,000 per month.
As far as I understand, my company is not paying anything to use the product.
I believe our cost is $1,000 per month.
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required.
SAS Visual Data Mining and Machine Learning combines data wrangling, data exploration, visualization, feature engineering, and modern statistical, data mining and machine learning techniques all in a single, scalable in-memory processing environment. This provides faster, more accurate answers to complex business problems, increased deployment flexibility and one easy-to-administer and fluid IT environment.
Data Science Reinvented with Automated Data and Feature Discovery
This is where the magic happens. A look under the hood shows our engine hard at work connecting your data with external sources you never considered while extracting features that surprise you while boosting your AUC, rocking your R2 and changing the way you think about data science
