Sold by: Composable Analytics, Inc.
Deployed on AWS
AWS Free Tier
Intelligent DataOps: Big data orchestration, automation and analytics, enabling end-to-end Enterprise AI for operational and business intelligence
4.2
Overview
Composable DataOps Platform is an end-to-end, enterprise-grade visual data operations and analytics ecosystem built for business users needing to architect data intelligence solutions that leverage disparate data sources, live feeds, and event data regardless of the format or structure of the data. With a modern, intuitive dataflow visual designer, built-in services to facilitate data engineering, and a composable architecture that enables abstraction and integration of any software or analytical approach, Composable is the leading integrated development environment to discover, manage, transform and analyze enterprise data. Cluster Deployment Version: This version of the Composable DataOps Platform is appropriate for multi-machine and scale-out deployments, with Composable system components distributed across multiple server nodes.
Highlights
- Infinite Data Connectivity & Master Data Management: Integration across numerous database technologies, cloud services, applications, data warehouses and SaaS services. Machine-learning approach to curating all enterprise data.
- Low-Code Development: Complete data-driven Web App development, with full-stack integration - all with low code!
- Data Governance and Access Control: Robust, fine-grained access control on all resources, including data, methods and results. Full audit trails and real-time alerts allow for centralized management of operations.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win2025 Microsoft Windows Server 2025
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.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m5.2xlarge Recommended | $8.25 |
t2.micro | $8.25 |
t3.micro | $8.25 |
m6a.12xlarge | $8.27 |
m5a.24xlarge | $8.31 |
r5dn.8xlarge | $8.25 |
c6i.32xlarge | $8.33 |
r5d.metal | $8.25 |
m5d.16xlarge | $8.29 |
c4.4xlarge | $8.25 |
Dimensions summary
You pay by the hour for the software running on the AWS EC2 instance you choose. Each dimension maps to a specific EC2 instance type, so pricing scales with the compute and memory capacity of that instance. Smaller instances cost less per hour; larger instances with more CPU, memory, or storage cost more. You are billed only for the hours each instance runs. This cluster deployment lets you add compute and storage nodes to scale up or out, matching hourly cost to the instance sizes you select.
Top-of-mind questions for buyers
Each dimension is one AWS EC2 instance type, billed per hour it runs. The software charge attaches to that running instance. One unit equals one instance-hour of the type you selected. Instance types differ by CPU, memory, and storage capacity, which sets the hourly rate.
Software charges meter running hours only. A fully stopped instance does not accrue the hourly software fee. Underlying AWS resources, such as attached storage, may still incur separate AWS charges while the instance is stopped. The software licence bills active running time.
You can scale vertically by adding compute and storage to a node, or horizontally by adding more instances. Each running instance bills separately at its own hourly rate. Your total is the sum of all active instance-hours across the instance types you run.
composable.ai
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Vendor refund policy
Refunds are not provided, 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
Composable DataOps Platform (Cluster Deployment Platform) - 5.2026
Additional details
Usage instructions
Cluster Deployment Version: This version of the Composable DataOps Platform on AWS is appropriate for multi-machine and scale-out deployments, with Composable system components distributed across multiple server nodes. Setup of a dedicated database server is suggested, as well as dedicated nodes for the Composable back-end services. More information is available at: https://docs.composable.ai
Resources
Vendor resources
Support
Vendor support
Composable DataOps Platform on AWS includes two six-hour implementation sessions to allow you to architect and implement data-intensive applications quickly. In addition, you may submit cases to support@composable.ai , where a dedicated team of software, data and analytics engineers will provide unlimited product support, normally same day, during normal North America business hours. https://composable.ai/contact-us/ support@composable.ai support@composable.ai
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 Composable Analytics, Inc.
By Cube Dev, Inc.
By MicroStrategy, Inc.
Top
100
In ML Solutions
Top
25
In Data Analysis
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In Financial Services, Business Intelligence & Advanced Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Integration and Connectivity
Integration across multiple database technologies, cloud services, applications, data warehouses, and SaaS services with machine-learning approach for enterprise data curation.
Visual Data Workflow Design
Modern, intuitive dataflow visual designer enabling discovery, management, transformation, and analysis of enterprise data.
Low-Code Development Framework
Complete data-driven web application development with full-stack integration capabilities using low-code approach.
Access Control and Governance
Fine-grained access control on resources including data, methods, and results with full audit trails and real-time alerts for centralized operations management.
Distributed Cluster Deployment
Multi-machine and scale-out deployment architecture with Composable system components distributed across multiple server nodes.
Semantic Layer Architecture
Open-source semantic layer that centralizes business logic upstream of analytics consumers, enabling version-controlled metric definitions in YAML or JavaScript with support for measures, dimensions, relationships, and joins.
AI Agent Integration
Connects to AI tools including Claude and ChatGPT through MCP server and API layer, with governance validation ensuring agent queries respect defined measures, dimensions, joins, and access policies before data access.
Query Performance Optimization
Pre-aggregation system with rollup tables defined in the data model and refreshed in the background, automatically routing queries to appropriate pre-aggregations for interactive analytics and predictable warehouse costs.
Multi-Interface Data Access
Exposes Postgres-compatible SQL interface, REST and GraphQL APIs, and metadata API for model discovery, enabling multiple connection paths for BI tools, custom applications, and AI agents.
Access Control and Governance
Row-level security and tenant-aware access control enforced at the semantic layer, applied consistently across AI agents, BI tools, dashboards, APIs, and embedded applications with multi-tenant data isolation support.
Centralized Semantic Layer
Universal semantic layer that serves as a single source of truth for business definitions, hierarchies, and security rules, ensuring consistent metrics and KPIs across all tools and users.
Real-time Governance and Monitoring
Integrated Sentinel layer providing proactive, real-time governance with immediate intelligence on potential data breaches, compliance risks, and cost-saving opportunities through live monitoring and isolation.
Multi-source Data Connectivity
Support for 200+ native data connectors enabling connection to multiple data sources once and delivering live, reusable data to BI tools, AI agents, and workspaces.
Policy-driven Access Controls
Policy-driven access control mechanisms with enforcement of security rules to ensure users only access authorized data and maintain data protection across the enterprise.
AI Model Enhancement with Business Context
Provision of rich business context and consistent, human-readable definitions to AI models, enabling more accurate and verifiable answers with auditable foundations for AI operations.
Standard contract
No
Customer reviews
Lead Software Architect
Achieving Scale with Composable on AWS
Reviewed on Dec 21, 2023
Review from a verified AWS customer
Composable DataOps Platform allowed us to effortlessly establish a high-available and scalable data-intensive application on AWS. We were able to rapidly deploy multiple compute and web nodes, and the platform now serves as the foundation for our entire organization for building robust ML and AI applications.
Composable is now our go-to platform for building highly available and responsive systems.
Gokulnath M.
One tool for all your needs !
Reviewed on Oct 05, 2023
Review provided by G2
What do you like best about the product?
It's so easy to learn and user friendly! You don't need different tools for ETL,data visualization, it's all available in Composable.
What do you dislike about the product?
It will be nice to have a desktop app to use ,instead of just web login .
What problems is the product solving and how is that benefiting you?
Managing and loading data from sales force using traditional method is time consuming and often takes lot of space. CA tool solves this by directly connecting to sales force and saves time by eliminating the ftp process of raw data.
Computer Software
Composable, product at right time and right place!
Reviewed on Sep 13, 2023
Review provided by G2
What do you like best about the product?
Composable strives to solve a long awaited yet ignored problem of data collection and assimilation from various non-coherent sources and that too at scale. The future is bright if Composable follows the path it's started on.
What do you dislike about the product?
Nothing much really, but it will take some more efforts and time to get into mainstream and become top2/3 choices for customers. What would help in fasttracking this journey is templates of oft-used scenarios and use cases readily available and customisable ones.
What problems is the product solving and how is that benefiting you?
It brings all things at one place and allows integration, reporting, visualization seamlessly with various parties involved. This removes the need to deal with all separately and thus lessens the chances of things going wrong and more importantly diagnostic and remedial actions can be taken much earlier than in traditional way.
Telecommunications
Data Driven
Reviewed on Sep 08, 2023
Review provided by G2
What do you like best about the product?
Very niche in data oriented company. They provide more advanced solutions with AI and ML using data. Highly reliable for decision making.
What do you dislike about the product?
Haven't found any dislike for now, great platform!!
What problems is the product solving and how is that benefiting you?
Increasing the efficiency in decision making with more accurate data driven models. Highly recommended for data driven companies. They also provide end-to-end solutions.
Dr. Rabi P.
I am working as a VP Cloud and Data Platform Transformation
Reviewed on Sep 03, 2023
Review provided by G2
What do you like best about the product?
Unified platform for data Governance and also Data Platform Management
What do you dislike about the product?
Some platforms are high cost and skillset issues that trigger for largescale adoption
What problems is the product solving and how is that benefiting you?
Data Governance and Data Platform Management