Overview
NNCompass data management, ETL and cloud AI orchestration software acts as the bridge between your data sources (onprem or cloud) and AI/ML cloud services and libraries. NNCompass abstracts all required engineering tasks needed to both orchestrate and consume the output of AI/ML, even for UNSTRUCTURED data, in a single pane of glass that handles data ingestion (ETL), data preparation and transformation, streaming/pipelines and export to your format or database of choice. NNCompass was designed to make data integration and management more intuitive and efficient, while opening the worlds of open source AI and machine learning to everyone in the enterprise. NNCompass tackles in-memory data ingestion and dataflow, ML/AI orchestration, unstructured document prep and application of ML to apply structure to unstructured file formats (PDF, Word, Forms, Health Records, Text, Emails), data preparation & transformation, and data integration. Non-technical users can point their data at premier cloud-enabled AI services like AWS Comprehend & Comprehend Medical. We orchestrate all of the core engineering tasks required to take advantage of these services, making it much more efficient for the enterprise. Users can also select from a number of "Smart Data" creators to do amazing things with their data, like segmenting customers by fields like total spend and demographics, clustering data together based any type of performance metric, and many more use cases.
Highlights
- IN-MEMORY DATA INGESTION, ETL & DATAFLOW: Manage the ingest of streaming or static data. Structured, Unstructured or Semi-structured.
- MACHINE LEARNING ORCHESTRATION: Our single pane of glass ingests, preps, centralizes and integrates data, then it handles complex engineering tasks needed to utilize AWS ML & AI.
- TRULY HANDLE UNSTRUCTURED DOCUMENTS: Easy-to-use tools to apply structure to unstructured data like emails, PDFs and other text-file formats. Easily send unstructured data to Cloud AI tools like AWS Comprehend and Comprehend Medical.
Details
Typical total price
$99.338/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
---|---|---|---|
t3.xlarge | $98.57 | $0.166 | $98.736 |
t3.2xlarge | $98.57 | $0.333 | $98.903 |
m4.4xlarge | $98.57 | $0.80 | $99.37 |
m4.10xlarge | $98.57 | $2.00 | $100.57 |
m4.16xlarge | $98.57 | $3.20 | $101.77 |
m5.4xlarge Recommended | $98.57 | $0.768 | $99.338 |
m5.12xlarge | $98.57 | $2.304 | $100.874 |
m5.24xlarge | $98.57 | $4.608 | $103.178 |
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
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
Additional details
Usage instructions
NNCompass will start automatically when the instance launches. Use your web browser to connect to and use the application. The default username for the NNCompass web application is "admin"and the password is initially set to the instance-id. Navigate to the Public IPV4 IP address (public DNS name which can be found on the EC2 console information for your NNCompass instance).
Quick Start Instruction Video Here: https://youtu.be/0M_6OyBVIQ0
Resources
Support
Vendor support
Support for NNCompass is provided by NNData help desk and customer success engineering team.
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.