Sold by: XtremeDataÂ
Deployed on AWS
Data is not perfect. Refining data without comprehensive and exact data insights is costly. Our platform reduces your efforts, time and cost significantly by letting data tell its own story: full fidelity metadata insights.
Overview
Full fidelity metadata sans sampling generates a blueprint of source data, comprehensive, deep and exact insights, for AI, ML, data science, analytics, governance, test data, and more. Brings a unique combination of automated discovery and analysis with a processing engine in one solution to control escalating compute costs. Metadata discovery, analysis and quality metrics are through a no code, drill down GUI, nLite. If you wish to develop custom solutions using our products we offer f2md API Toolkit for programming.
The product is data store agnostic and hybrid, working directly on files in object stores, data lakes or databases, without data movement. Its AI driven metadata engine f2mdbX helps you discover schema and quality anomalies even on unknown, legacy datasets resident in cloud. It learns your source data in production pipelines to identify and inform you of changes in schema, data types, values or statistics for proactive data monitoring. Metadata on source data extends beyond profiling to rules, referential integrity, accuracy and privacy to identify sensitive data values.
Available as a self-hosted solution to run on single or multi-node clusters, product is scaleable to suit your data needs and is optimized to work well on a few large files from data warehouses, or thousands of small files from IoT.
Highlights
- Discovery: Hyper-efficient processing of every value in a dataset to generate comprehensive and deep metadata. A bottom-up approach to let data tell its own story without bias or ambiguity.
- Analysis: Insights derived from full fidelity metadata to identify data issues that are not easily found by sample based metadata or by running a plethora of SQL queries on source data.
- Performance: Runs as a distributed metadata engine on AWS clusters, taking advantage of both compute and data parallelism, to deliver high performance for both discovery and analysis.
Details
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64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2024.06.14
Deployed on AWS
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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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m6i.8xlarge Recommended | $7.36 |
m6i.4xlarge | $3.68 |
c6i.8xlarge | $7.36 |
c6i.16xlarge | $14.72 |
c6i.12xlarge | $11.04 |
m6i.12xlarge | $11.04 |
m5.4xlarge | $3.68 |
m6i.16xlarge | $14.72 |
m5.8xlarge | $7.36 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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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)Â .
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
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.
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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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By XtremeData
By IBM Software
Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Metadata Discovery
Hyper-efficient processing of every data value to generate comprehensive metadata using a bottom-up approach without sampling
Distributed Processing Engine
Runs as a distributed metadata engine leveraging compute and data parallelism across AWS clusters for high-performance analysis
Data Store Agnostic Architecture
Works directly on files in object stores, data lakes, and databases without requiring data movement, supporting hybrid environments
AI-Driven Metadata Analysis
AI-powered metadata engine capable of identifying schema changes, data type variations, value anomalies, and proactively monitoring source data in production pipelines
Metadata Quality Insights
Generates metadata insights extending beyond profiling to include rules, referential integrity, data accuracy, and sensitive data identification
Data Quality Profiling
Advanced data quality assessment and analysis capabilities to understand dataset characteristics and identify improvement areas
Synthetic Data Generation
State-of-the-art synthetic data generation techniques for data augmentation, balancing, simulation, and missing value imputation
MLOps Integration
Seamless integration with machine learning development environments and platforms, including Jupyter and VS Code
Data Pipeline Management
Configurable data preparation pipelines enabling continuous optimization and refinement of datasets
Multi-Database Connectivity
Scalable architecture supporting connections to diverse databases, data warehouses, and data lakes
Data Fabric Architecture
Unified platform that connects data across multiple clouds and on-premises environments without data movement
Universal Query Engine
AutoSQL technology enabling comprehensive data querying across disparate data sources
Data Governance Framework
Automated policy enforcement and real-time data discovery and classification capabilities
AI Model Management
ModelOps system for synchronizing application and model pipelines with drift and bias reduction
Data Integration Capabilities
Powerful automated integration tools for designing, developing, and running data transformation and movement jobs
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