SQreamDB is a database software from SQream Technologies that supports big data analytics. It combines GPU-powered processing, advanced scaling capabilities, and efficient storage management so organizations can analyze massive datasets faster and at a lower cost. This platform is designed for data scientists and AI engineers who require rapid data preparation and training for machine learning models. SQreamDB is improved for high performance, allowing users to swiftly derive insights from large volumes of data. Key capabilities: GPU acceleration horizontal scaling simplified data queries integrated data preparation multi-cloud support Best for: data teams that need to process and analyze large datasets for AI and machine learning applications.
SQreamDB is a high-performance SQL database designed to handle massive datasets and complex analytics queries with unparalleled speed and efficiency. By leveraging the power of GPU acceleration, SQreamDB significantly outperforms traditional database solutions, making it an ideal choice for data-intensive industries like telecommunications, finance, and biotechnology. This database offers a robust feature set, including seamless integration with popular BI tools and data pipelines. It can be deployed both on-premises and in the cloud, supporting major cloud platforms like AWS, Azure, and GCP. Pricing is typically subscription-based, with custom pricing determined by factors such as deployment size and infrastructure needs. To assist potential customers in evaluating costs, SQreamDB provides a convenient TCO calculator. While SQreamDB may have a steeper learning curve for non-technical users, its performance benefits and scalability make it a compelling investment for data-driven organizations. The ability to extract valuable insights from large and complex datasets can lead to significant competitive advantages and improved decision-making. For instance, telecommunications companies can utilize SQreamDB to optimize network performance, detect fraud, and analyze customer behavior in real-time.
Utilizes GPUs to speed up complex analytics and data processing.
Able to process up to 9TB of data per hour.
Supports standard ANSI-SQL queries.
Automatic data compression at a 5:1 ratio.
Compatible with BI tools like Tableau, PowerBI, and custom integrations via Python, Java, etc.
Distributed query execution across multiple GPU cores for faster data handling.
Scalable architecture that separates data storage from compute units.
Automatic partitioning for both vertical and horizontal scaling.
Integrates easily with other tools via ODBC/JDBC and APIs.
Can be deployed on public clouds like AWS, Azure, and private cloud infrastructures.
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SQreamDB is a database software from SQream Technologies that supports big data analytics. It combines GPU-powered processing, advanced scaling capabilities, and efficient storage management so organizations can analyze massive datasets faster and at a lower cost. This platform is designed for data scientists and AI engineers who require rapid data preparation and training for machine learning models. SQreamDB is improved for high performance, allowing users to swiftly derive insights from large volumes of data. Key capabilities: GPU acceleration horizontal scaling simplified data queries integrated data preparation multi-cloud support Best for: data teams that need to process and analyze large datasets for AI and machine learning applications.
Does SQreamDB have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
USD ($), EUR (€), GBP (£)
Email Address
info@sqream.comContact
+1 877-878-4081Documentation
https://docs.sqream.com/?Chatbot
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