The GPU-accelerated Data Warehouse
For any given company, just a 10% increase in data accessibility will result in a significant additional net income – due to insight that big data analysis can provide. Being able to interrogate your whole datset rather than a subset of it, not only produces results that have more accuracy and be of more use to the business, but a technology such as GPU-accelerated data warehousing increases productivity amongst your staff too.
Most data scientists spend only 20% of their time on actual data analysis – the rest is spent finding, cleansing, and reorganising huge amounts of data. SQream DB allows this all to be automated and puts the emphasis on insight and results.
SQream has redefined big data analytics with SQream DB, a complementary SQL data warehouse harnessing the power of GPU to enable fast, flexible, and cost-efficient analysis of massive datasets of terabytes to petabytes.
How does SQream DB help my Data Analysis?
SQream DB is a fully-featured GPU-accelerated data warehouse, capable of handling the most complex queries. SQream DB has all of the features you expect from a relational database system, like comprehensive ANSI SQL support. Anyone can use SQream DB to load, store, and analyse data up to 100x faster than any other data warehouse.
Powered by GPUs
• Massively parallel engine
• Faster and smaller than CPUs
• Terabytes to petabytes
• Not limited by RAM
• Familiar ANSI SQL
• Standard connectors
Extensible for ML/AI
• Python, AI, Jupyter, etc.
• Built for Data Science
• 100TB in a 2U server
• Highly cost-efficient
• Ingests 3TB/hr/GPU
• Powerful colimnar storage
• Always-on compression
SQream DB is designed for the biggest, most intense SQL queries. The patented architecture detaches the storage from GPU-accelerated compute. This lets you scale data sizes up, or scale compute up and down without redesigning the entire system. Match the resources to your needs. SQream DB is a columnar, massively parallel data warehouse, so it can handle incredibly complex SQL analytic queries, even when data size is in the petabytes. SQream DB's highly automated query compiler and optimizer gets queries running, fast - with a powerful columnar engine, automatic partitioning, adaptive compression, and automatic transparent metadata collection.
Fast Analysis of Massive Raw Data
SQream's powerful technology breezes through trillions of rows of data, getting you results up to 100x faster. With SQream, your raw data is available for immediate querying, so there's no need for pre-aggregation or pre-modeling.
Simple Deployment & Administration
With standard SQL syntax as well as ODBC, JDBC, .NET, Node.js and Python connectivity, SQream DB is already supported by your ecosystem - either on the cloud or on-premise.
Built for Your Growing Data
Grow from terabytes to petabytes with ease. SQream easily scales storage and compute power, with no need for data redistribution.
Harnessing the tremendous power of NVIDIA GPUs, SQreamoffers a minimal footprint with maximum hardware efficiency. SQream can store and analyse over 100TB in a single 2U machine.
Integration with SQream DB
SQream DB combines the ease of use of legacy data warehouses and established SQL solutions with the speed and power of NVIDIA GPUs. Together, they have the advanced capability and power to handle massive data stores with trillions of rows and hundreds of terabytes at a fraction of the cost. No matter what your data source or your chosen visualisation tools, SQream DB can enhance your data analysis.
Powerful, Secure, Scalable
Built upon well-established columnar techniques, SQream DB's advanced columnar storage layer is extremely scalable and performant on big data. The separation of compute and storage lets you scale with both storage and data independently. Underneath, SQream DB partitions the data horizontally and vertically. Data is automatically compressed and tagged for metadata when loaded into SQream DB, for what we call "Load-and-Go". With Load-and-Go, SQream DB delivers the best performing data warehouse, right out of the box.
Columnar by Design
SQream DB, like other analytics databases, is a columnar database. This means that data compresses better, and adding more data doesn’t slow down your existing queries.
Your Database, your Roles, your Rules
Your database administrators control access with SQreams DB’s extensive role-based permission system
Easy-to-Deploy AI solutions
Scale storage by adding more, well, storage... Scale to more users by scaling up, and then out with extra compute nodes.