SQream Blue is a query engine and workflow automation platform for cost-effective data preparation
Overview
SQream offers a cloud-native fully-managed query engine and workflow automation platform built for fast, reliable, and cost-effective data processing utilizing a patented GPU-acceleration engine. The platform enables easy data preparation and transformation from and to the data lake, for faster analytics and AI/ML.
Highlights
- GPU Optimization Engine: SQream Blue's performance leans on patented GPU-acceleration, synchronizing all available resources (CPU, GPU, RAM) and using the brute force of the GPU for the most complex analytical tasks.
- Parallelism: SQream uses the GPU to achieve parallel data processing. By splitting large tasks into smaller processes, SQream distributes operations between multiple GPU cores, allowing admins to balance parallelism and concurrency according to their business needs.
- No Data Loading: SQream Blue doesn't require ingestion or data movement and relies on direct access to data in open-standard formats. Through the entire data preparation cycle, all data remains at the lake storage, maintaining privacy and ownership at best, while preserving a single source of truth and eliminating the need for data duplication.
Details
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Dimension | Description | Cost/unit |
|---|---|---|
per worker uptime hour | per worker uptime hour, whereas each GPU machine equals one worker. | $5.00 |
Vendor refund policy
No refunds, cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
You can contact our Support through email (blue_support@sqreamtech.com ) or the ticketing system (https://sqream.atlassian.net/servicedesk/customer/portals ).
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Sanraj B.
SQream Review
Reviewed on Sep 07, 2021
Review provided by G2
What do you like best about the product?
SQream provides much faster results in comparison to HDFS-Based Applications.
What do you dislike about the product?
No as such, SQream works well in our usecase.
What problems is the product solving and how is that benefiting you?
The team uses SQream information to enhance monetisation.
We get faster results from SQream DB that are used as input to a variety of algorithms that in turn help us improve monetization.
We get faster results from SQream DB that are used as input to a variety of algorithms that in turn help us improve monetization.
Leave a comment0 comments
Manunya W.
support telecom data workloads
Reviewed on Jul 29, 2021
Review provided by G2
What do you like best about the product?
SQream reduces the time and resources required for data preparation and good performance
What do you dislike about the product?
Don't support some STAT function that we need to use
What problems is the product solving and how is that benefiting you?
Now we use SQream for network planning analysis and target marketing in the regional. SQream helps analysis user faster analytic.
Tsahi L.
A great way to identify network issues fast
Reviewed on Jul 15, 2021
Review provided by G2
What do you like best about the product?
We tested SQream as a telecommunications network analysis solution, and found it to be very cost-effective and highly efficient.
This solution helped us investigate the cause for symptoms we noticed occurring in the network, by turning the enormous amount of data we needed to use as the raw material into actionable insights, and it did so much faster than anything we've tried before.
Since we began using it, it became a critical component in our network analysis.
This solution helped us investigate the cause for symptoms we noticed occurring in the network, by turning the enormous amount of data we needed to use as the raw material into actionable insights, and it did so much faster than anything we've tried before.
Since we began using it, it became a critical component in our network analysis.
What do you dislike about the product?
Due to our specific unit's lack of SQL knowledge, SQream had to build a uniquely tailored visual UI. However, it had limited support.
What problems is the product solving and how is that benefiting you?
SQream's platform allows our engineering team to identify network issues quickly and efficiently, so we can both get alerted much faster if something is wrong, and we get the insights we need in order to rectify the situation really fast, so we can fix what need to be fixed before the situation escalates. For example, at one point we identified the source of a high call drop rate and using SQream's solution we were able to discover the root cause by having it analyze the network data and coming up with the relevant insights. After realizing the cause and making the needed changes, we immediately saw a 90% reduction in the number of dropped calls.
Recommendations to others considering the product:
I would definitely recommend organizations seeking ways to accelerate their network analytics process to check out this solution.