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.
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.
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.
H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O’s supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models. The H2O platform is used by over 14,000 organizations globally and is extremely popular in both the R & Python communities.
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.
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.
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.
Business intelligence and predictive analytics software suite from Angoss Software Corporation. KnowledgeSTUDIO is a market-leading business intelligence software product with data mining and predictive analytics capabilities including data profiling, advanced data visualization, advanced modeling, unsupervised learning, decision tree and strategy design functionality.
