Databricks surpasses its competitors by offering a unified platform for big data and AI, with seamless collaboration, robust machine learning capabilities, and efficient data processing, empowering organizations to accelerate insights and innovation on a cloud-based infrastructure.
Azure Data Factory is a powerful tool designed to efficiently manage and integrate data from various sources. Users find it valuable for its seamless integration with Azure services, ability to handle large data volumes, flexibility in data transformation, and user-friendly interface.
The tool has improved team performance, workflow, collaboration, and productivity by streamlining processes and enhancing communication.
Our licensing fees are approximately 15,000 ($150 USD) per month.
This is a cost-effective solution.
Our licensing fees are approximately 15,000 ($150 USD) per month.
This is a cost-effective solution.
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 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.
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.
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.
Azure Stream Analytics is a robust real-time analytics service that has been designed for critical business workloads. Users are able to build an end-to-end serverless streaming pipeline in minutes. Utilizing SQL, users are able to go from zero to production with a few clicks, all easily extensible with unique code and automatic machine learning abilities for the most advanced scenarios.
The cost of this solution is less than competitors such as Amazon or Google Cloud.
We pay approximately $500,000 a year. It's approximately $10,000 a year per license.
The cost of this solution is less than competitors such as Amazon or Google Cloud.
We pay approximately $500,000 a year. It's approximately $10,000 a year per license.
BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.
BigQuery is inexpensive.
The price is a bit high but the technology is worth it.
BigQuery is inexpensive.
The price is a bit high but the technology is worth it.
Oracle Autonomous Data Warehouse is the world’s first and only autonomous database optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report (PDF), lowers operational costs by an average of 63%.
The cost is perfect with Oracle Universal credit.
ROI is high.
The cost is perfect with Oracle Universal credit.
ROI is high.
You don't need to pay for licensing on a yearly or monthly basis, you only pay for what you use, in terms of underlying instances.
The cost of Amazon EMR is very high.
You don't need to pay for licensing on a yearly or monthly basis, you only pay for what you use, in terms of underlying instances.
The cost of Amazon EMR is very high.
AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.
AWS Lake Formation is a bit expensive.
AWS Lake Formation is a bit expensive.
It is priced well and it is affordable
Currently, we are using the product in a sandbox environment, and there is no licensing. We might choose a licensing option once we get the results.
It is priced well and it is affordable
Currently, we are using the product in a sandbox environment, and there is no licensing. We might choose a licensing option once we get the results.
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.
Reporting, analysis and interpretation of business data are crucial to preserve and enhance the competitive edge of companies by optimizing processes and enabling them to react quickly and in line with market needs. SAP Business Warehouse (SAP BW) provides tools and functions that enable companies to attain these goals. In SAP BW, you can integrate, transform, and consolidate relevant business information from productive SAP applications and external data sources. SAP BW provides you with a high-performance infrastructure that helps you evaluate and interpret data. Decision makers can make well-founded decisions and identify target-orientated activities on the basis of the analyzed data.
It's moderately expensive, but definitely has its branding and price value for it.
The license for SAP Business Warehouse is paid yearly, and there's no extra cost in addition to the standard licensing fees.
It's moderately expensive, but definitely has its branding and price value for it.
The license for SAP Business Warehouse is paid yearly, and there's no extra cost in addition to the standard licensing fees.
Upsolver's mission is to turn engineering-intensive data lakes into easy-to-use repositories that serve 50X more data professionals compared to the status-quo today. Upsolver cuts 95% from the tedious process of preparing event data for analytics and machine learning, using a visual SQL-based interface, a cloud-native data platform and deep technology for stream-processing, indexing and eventually-consistent file systems.
Upsolver is affordable at approximately $225 per terabyte per year.
Upsolver is affordable at approximately $225 per terabyte per year.
IBM dashDB family offers private and public cloud database solutions for transactional and analytic workloads, with IBM fully managed or client managed options with a Common SQL engine across all deployment options.
If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version.
If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version.
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.
Comprehensive streaming processing and visualization of real-time operational, trading, and market data
The DataScience.com Platform makes it easy and intuitive for data science teams to work collaboratively on the data-driven projects that transform how companies do business. Explore and visualize data, share analyses, deploy models into production, and track performance - all from one place.
WPS is used in production on a huge range of systems at sites around the world. Thousands of analysts are using WPS in their daily data processing and analysis tasks, and thousands more rely on the heavy-lifting ability of WPS overnight and scheduled processing to deliver the information they require. Customers are able to choose to run WPS software on IBM z/OS Mainframes, servers and workstations running UNIX, Linux, Solaris, AIX, macOS and the full range of Microsoft Windows operating systems to fit in with existing or planned infrastructure.
