Databricks is an industry-leading data analytics platform which is a one-stop product for all data requirements. Databricks is made by the creators of Apache Spark, Delta Lake, ML Flow, and Koalas. It builds on these technologies to deliver a true lakehouse data architecture, making it a robust platform that is reliable, scalable, and fast. Databricks speeds up innovations by synthesizing storage, engineering, business operations, security, and data science.
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.
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.
Alteryx can be used to speed up or automate your business processes and enables geospatial and predictive solutions. Its platform helps organizations answer business questions quickly and efficiently, and can be used as a major building block in a digital transformation or automation initiative. With Alteryx, you can build processes in a more efficient, repeatable, and less error-prone way. Unlike other tools, Alteryx is easy to use without an IT background. The platform is very robust and can be used in virtually any industry or functional area.
A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources.
The seat is too expensive.
A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources.
The seat is too expensive.
KNIME is an open-source analytics software used for creating data science that is built on a GUI based workflow, eliminating the need to know code. The solution has an inherent modular workflow approach that documents and stores the analysis process in the same order it was conceived and implemented, while ensuring that intermediate results are always available.
It is free of cost. It is GNU licensed.
KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required.
It is free of cost. It is GNU licensed.
KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required.
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.
Dataiku Data Science Studio is the collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products more efficiently.
SAS Visual Analytics is a data visualization tool that is used for reporting, data exploration, and analytics. The solution enables users - even those without advanced analytical skills - to understand and examine patterns, trends, and relationships in data. SAS Visual Analytics makes it easy to create and share reports and dashboards that monitor business performance. By using the solution, users can handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. SAS Visual Analytics is most suitable for larger companies with complex needs.
Licensing is simple.
$10,000 per annum for an enterprise license.
Licensing is simple.
$10,000 per annum for an enterprise license.
Dremio is a data lake query engine tool that creates PDSs and VDSs on top of S3 buckets. It is used for managing simple ad-hoc queries and as a greater layer for ad-hoc queries. The most valuable features of Dremio include its ability to sit on top of any data storage, generate refresh reflections and create visuals, manage changes effectively through data lineage and data providence capabilities, use open-source, and address the problem of data transfer when working with large datasets. The use cases are broad, allowing for high-performance queries from a data lake.
Right now the cluster costs approximately $200,000 per month and is based on the volume of data we have.
Dremio is less costly competitively to Snowflake or any other tool.
Right now the cluster costs approximately $200,000 per month and is based on the volume of data we have.
Dremio is less costly competitively to Snowflake or any other tool.
IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.
Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers.
If you are in a university and the license is free then you can use the tool without any charges, which is good.
Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers.
If you are in a university and the license is free then you can use the tool without any charges, which is good.
Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.
The licensing costs for Anaconda are reasonable.
The product is open-source and free to use.
The licensing costs for Anaconda are reasonable.
The product is open-source and free to use.
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.
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.
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.
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.
Starburst Galaxy is a fully-managed service to access your data using Trino, the premiere MPP SQL engine, with lightning fast performance. Starburst Galaxy removes data silos, opening doors to new insights. It's built and operated by the Trino experts and the creators of Presto®.
SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.
A free trial version is available for testing out this solution.
The pricing is reasonable
A free trial version is available for testing out this solution.
The pricing is reasonable
