Overview
Whether you're a freelancer writing code, a data science professional who wants to try before you buy, or an enterprise CIO, Heavy.AI makes it easy for you and your team to get started with Big Data analytics. Heavy.AI is the pioneer in accelerated analytics. It is used to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallelism of modern CPU and GPU hardware, the platform is available in the cloud and on-premise.
Key Benefits:
- Real Time Interaction: Heavy.AI wants everyone to be curious about data and easily explore hypotheses, to ask question upon question, without curiosity-defeating latency.
- Conventional and Geo Data: Heavy.AI bridges the divide between traditional business intelligence tools (BI) and geographic information systems (GIS), making location intelligence a first-class citizen of big data analytics.
- GPU Innovation: Heavy.AI pushes the boundaries of what's possible with GPU accelerated analytics. Heavy.AI Core is the first SQL engine to natively harness GPU computing for analytics, and we open sourced that technology.
Who uses OmniSci? OmniSci is being used to dramatically accelerate big data analytics in telecom, financial services, defense and intelligence, automotive, retail, pharmaceutical, academia, and other fields that demand rapid insights. It is the favorite solution of Big Data Analysts, Geospatial Analysts and Data Scientists. Free trial is available for OmniSci Cloud. Contact - sales@omnisci.com
Highlights
- Allows you to explore billions of rows with millisecond latency
- Intuitive interaction with standard SQL and user-friendly dashboards
- Fast and scalable visual analytics useful for decision making
Typical total price
$0.90/hour
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
p2.xlarge Recommended | $0.00 | $0.90 | $0.90 |
p2.8xlarge | $0.00 | $7.20 | $7.20 |
p2.16xlarge | $0.00 | $14.40 | $14.40 |
p3.2xlarge | $0.00 | $3.06 | $3.06 |
p3.8xlarge | $0.00 | $12.24 | $12.24 |
p3.16xlarge | $0.00 | $24.48 | $24.48 |
p3dn.24xlarge | $0.00 | $31.212 | $31.212 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
We do not offer refunds. You can cancel at anytime.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Heavy.AI release includes several bug fixes and performance improvements. Check out our comprehensive list of release notes here - http://docs.heavy.ai/latest/7_0_release.html
Additional details
Usage instructions
To connect to the running instance, use SSH and the username centos. Use the following command to run the heavysql SQL command line utility on Heavy.AI Core Database. The default user is mapd and the default password is (aws instance-id):
/opt/heavyai/bin/heavysql -u mapd -p [instance-id]
For more information, see HEAVYSQL- https://www.heavy.ai/docs
Resources
Support
Vendor support
Please allow up to 24 hours. Heavy.AI will provide remote support services to assist with basic operation of the software. Learn more through our forum.
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
Instructions Dont Work
The current instuctions dont work - not connected to database error.
I would use a base centOS AMI and install omnisci using the instructions on there website until they fix this.