Sold by: XtremeData
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 2025.09.23
Deployed on AWS
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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) .
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 dbx JOBQ, logging, VACUUM and various bug fixes.
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
Top
50
In Data Warehouses
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50
In Data Warehouses
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AI generated from product descriptions
Massively Parallel Processing Architecture
Full-featured MPP (Massively Parallel Processing) engine with elastic scalability for distributed data processing across multiple nodes.
SQL Compatibility and Standards Compliance
ANSI SQL compliant with ACID transaction support and industry-standard connectivity via ODBC and JDBC interfaces for ETL and BI tool integration.
Flexible Data Model Support
Support for both row and column-oriented table formats with ability to intermix row and column tables in queries without restrictions.
Schema-Agnostic Processing
Schema-agnostic architecture that places no constraints on data organization or placement, requiring minimal to no performance tuning.
High-Volume Data Ingestion
Cloud-scale engine optimized for continuous high-volume data ingestion and complex data pipeline processing with support for large multi-terabyte datasets.
Lakehouse Architecture
Open data lakehouse architecture combining the flexibility of data lakes with the performance and structure of data warehouses
Multi-Engine Query Processing
Support for multiple fit-for-purpose query engines including Presto and Spark across IT environments
Vector Database Integration
Enterprise-grade vector database capabilities through DataStax Astra DB integration enabling generative AI applications and real-time operational workloads
Open Data Format Support
Native support for open formats such as Parquet and Iceberg enabling data sharing and combination without ETL
Unified Metadata Layer
Shared metadata layer across hybrid-cloud environments providing single point of entry for data access across clouds and on-premises
Hyperscale Data Storage Capacity
Scales linearly to handle petabytes of data without sacrificing performance, supporting up to 10x more data storage compared to traditional solutions
Query Performance Optimization
Delivers 10x-50x performance improvement on compute-intensive queries through Compute Adjacent Storage Architecture (CASA) and secondary indexing optimized for AWS
Data Ingestion and Streaming
Supports continuous data streaming and file loading at no extra cost with low-latency transformation and optimized indexing for rapid data ingestion at hyperscale
SQL Query Execution
Executes complex queries using standard ANSI SQL with results returned in seconds to minutes for hyperscale datasets
Data Reliability and Cost Efficiency
Implements Zero Copy Reliability technology to reduce costs by 50% or more while maintaining data integrity and enabling secure access across multiple business lines and users
Standard contract
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