Sold by: XtremeDataÂ
Deployed on AWS
XtremeData's dbX is a cloud-scale engine for data understanding and transformation. It offers immediate value for data-intensive applications that need continuous high volume data ingestion and complex data pipelines with many large tables. Product is best deployed through a multi-node template.
Overview
XtremeData's dbX is a cloud-scale engine for data understanding and transformation. It offers immediate out-of-the-box value, placing no constraints on data organization or placement, and requiring little to no performance tuning. dbX eliminates the learning curve by offering full-featured SQL and compatibility with the ecosystem of SQL-based ETL and BI tools. It supports row and column tables and queries can intermix the two without restriction. The engine offers high-performance and elastic scalability.
Highlights
- Simple, ready to use solution for metadata collection and complex data processing pipelines. It is schema agnostic and offers performance without manual tuning.
- Full featured MPP, ANSI SQL, ACID compliant, supporting industry standard connectivity via ODBC and JDBC interfaces.
- Users can self provision multi-terabyte analytics databases on AWS in minutes. Pay for use with no long term commitments. Product is best deployed through a multi-node template.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2022.03.02
Deployed on AWS
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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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
i3.8xlarge Recommended | $2.56 |
c5.18xlarge | $5.76 |
c5d.18xlarge | $5.76 |
c5d.24xlarge | $7.68 |
c5.24xlarge | $7.68 |
c5.12xlarge | $3.84 |
c5d.12xlarge | $3.84 |
c5d.9xlarge | $2.88 |
c5.9xlarge | $2.88 |
i3.16xlarge | $5.12 |
Vendor refund policy
We do not currently support refunds, but you can 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)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.
Version release notes
Enhancements to metadata, remote file access
Additional details
Usage instructions
Please see <www.xtremedata.com/images/pdf/dbx_download/dbx_MNT_AWS_setup.pdf > for detailed instructions.
Resources
Vendor resources
Support
Vendor support
Please contact support@xtremedata.com for details on available support packages.
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.
Updated weekly
By XtremeData
By IBM Software
By Ocient Inc.
Top
100
In Databases & Analytics Platforms
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50
In Data Warehouses
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AI generated from product descriptions
Data Processing Engine
Cloud-scale engine for high-volume data ingestion and complex data pipeline transformations
Query Processing Architecture
Massively Parallel Processing (MPP) architecture supporting row and column table queries without restrictions
SQL Compatibility
Full-featured ANSI SQL with standard connectivity through ODBC and JDBC interfaces
Schema Flexibility
Schema-agnostic data processing capability supporting diverse data organization and placement
Performance Optimization
Elastic scalability with automatic performance tuning and minimal manual configuration requirements
Data Lakehouse Architecture
Built on an open data lakehouse architecture that combines data lake flexibility with data warehouse performance and structure
Multi-Engine Query Support
Supports multiple fit-for-purpose query engines like Presto and Spark across different IT environments
Open Format Data Sharing
Natively supports open data formats like Parquet and Iceberg for seamless data sharing and integration across databases
Hybrid Cloud Data Access
Enables unified data access through a single point of entry with a shared metadata layer across hybrid cloud and on-premises environments
Integrated Governance
Provides built-in governance, automation, and security capabilities for enterprise data management and integration
Data Scalability
Scales linearly to handle petabyte-scale workloads with consistent performance across massive datasets
Query Performance
Optimizes compute-intensive queries to return results in seconds to minutes with up to 50x performance improvement
Storage Architecture
Implements Compute Adjacent Storage Architecture (CASA) with secondary indexing for efficient data storage and retrieval
Data Ingestion
Supports continuous data streaming and loading with optimized indexing and no additional tooling requirements
Cloud Infrastructure
Leverages modern cloud hardware with zero-copy reliability and native AWS optimization
Standard contract
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