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.
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.
Confluent is an enterprise-ready, full-scale streaming platform that enhances Apache Kafka.
You have to pay additional for one or two features.
Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance.
You have to pay additional for one or two features.
Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance.
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.
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.
Starburst Enterprise is a data analytics platform that enables organizations to access and analyze data from multiple sources, including cloud-based and on-premises data warehouses. It provides a single access point to all data sources, allowing users to query and analyze data without moving it between systems.
Aiven provides managed open source data technologies on all major clouds.
Dell EMC Streaming Data Platform, an innovative enterprise-grade software
platform, empowers organizations by harnessing their real-time and historical
data in a single, auto-scale infrastructure and programming model. Using the
Streaming Data Platform, organizations can achieve improvement towards
innovation throughout their entire ecosystem and harness the power of every
piece of their massive data set.
The pricing is good. With PowerScale, purchasing involves upfront usable capacity, typically with a price per terabyte.
The pricing is good. With PowerScale, purchasing involves upfront usable capacity, typically with a price per terabyte.
Artificial intelligence and machine learning are the most transformative technologies of our time, and SAS is more committed than ever to investing in its potential to move humanity forward.
