Sold by: Datazoom Inc.
Deployed on AWS
Datazoom is a data collection technology company offering a cloud-based Data-as-a-Service Platform. Our technology is leveraged by technology vendors, publishers, and measurement companies.
4.5
Overview
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About Datazoom
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Datazoom's Platform
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Business Model
Datazoom offers client-side software, and a data pipeline, to collect, process and generate one well-defined dataset that can feed data storage, analytics, GenAI and other SaaS tools. Use Datazoom to collect data to understand the user journey, advertising performance and revenue, content engagement, video and audio Quality of Experience (QoE) to support your analytics, monitoring, observability, and reporting needs.
Datazoom offers:
Use Any Tool - Easily set up filtering, transformations, sampling and enrichment so data lands how you need it.
Highlights
- Access Hundreds of Data Points - Low-code SDKs & APIs make hundreds of standardized events and metadata automatically collectable. Use the UI to select just the data points you want, and change what is collected at any time.
- Customize What You Collect & Own Your Data - Log in to create data pipes from your apps and business systems to send unified data to the tools you already use. Make adjustments to data collection, modify frequency of heartbeats, and enable sampling techniques to control meet your budgeting needs. Use their data pipeline to capture non-video events and metadata as well, and enrich any event payload with extra data from our server-side.
- Use Any Tool - Easily set up filtering, transformations, sampling and enrichment so data lands how you need it. Simply create a new connector, add your account information for each Connector, and add to a Data Pipe.
Details
Sold by
Delivery method
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 the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months | Overage cost |
|---|---|---|---|
Datazoom | Contact sales@datazoom.io for custom pricing through AWS Marketplace | $30,000.00 | - |
Datazoom Ingress | Additional Ingress as defined in Order Form | $0.00 | |
Datazoom Egress | Additional Egress as defined in Order Form | $0.00 | |
Datazoom Enrichment | Data Enrichment as defined in Order Form | $0.00 | |
MediaTailor Validation Package - 100GB | A pre-paid package of 100GB of usage data to test validation of MediaTailor Integration | $500.00 |
Dimensions summary
This contract-based listing bills across separate usage components you can combine. You pay for Ingress (data entering the platform), Egress (data leaving to destinations), and Enrichment (adding metadata from backend systems) as independent unit-based add-ons defined in your Order Form. The MediaTailor Validation Package is a one-time pre-paid 100GB bundle for testing the MediaTailor integration. The base Datazoom unit covers custom pricing arranged directly with the vendor. Your total cost scales with how much data you ingest, forward, and enrich, so each dimension grows independently based on your actual usage.
Top-of-mind questions for buyers
Ingress meters data entering the platform from your applications, players, and ad frameworks. Egress meters data leaving the platform to your destinations, such as storage buckets or streaming services. Each is counted separately per the amounts defined in your Order Form, so collecting once and forwarding to many destinations adds Egress volume.
Egress charges accrue per destination the data is routed to, so sending one event to multiple tools raises Egress usage. Source-side sampling and context pruning let you drop or trim data before it leaves the device, reducing downstream Egress. Ingress and Enrichment charges remain separate from this routing behavior.
Each meters a different stage and bills independently, then adds together on your invoice. Ingress covers data collected. Egress covers data delivered to destinations. Enrichment covers metadata injected from backend systems like CRMs or CMSs. High destination counts push Egress up, while backend-context needs drive Enrichment usage.
help.datazoom.io+2
Helpful?
Vendor refund policy
There are no refund policies in our base packages - please contact sales@datazoom.io for more information.
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
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
https://help.datazoom.io We offer hands-on support through our ticketing system. At an additional cost we offer Slack Collab Channels, dedicated support teams, and extended SLAs. Please contact support@datazoom.io for any support requests, and sales@datazoom.io for advanced support packages available.
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 Datazoom Inc.
By Composable Analytics, Inc.
By Observe, Inc.
Top
50
In Monitoring and Observability
Top
100
In ML Solutions
Top
10
In Application Performance and UX Monitoring
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
Low-Code SDK and API Integration
Hundreds of standardized events and metadata are automatically collectable through low-code SDKs and APIs, with UI-based selection of specific data points.
Data Pipeline and Transformation
Client-side software and data pipeline infrastructure to collect, process, and generate unified datasets with filtering, transformations, sampling, and enrichment capabilities.
Multi-Destination Data Routing
Data can be routed to multiple destinations including data storage, analytics platforms, GenAI tools, and other SaaS applications through configurable connectors.
Real-Time Data Collection Control
Ability to modify data collection parameters including frequency of heartbeats, sampling techniques, and payload enrichment with server-side data at any time.
Quality of Experience Monitoring
Specialized data collection for video and audio Quality of Experience (QoE) metrics, user journey tracking, advertising performance, content engagement, and revenue measurement.
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 for architecting data intelligence solutions across disparate data sources, live feeds, and event 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
Composable Architecture
Modular architecture enabling abstraction and integration of any software or analytical approach for flexible enterprise data operations
Data Ingestion and Query Performance
Ingests petabytes of telemetry per day with capability to process hundreds of terabytes and execute tens of millions of queries daily without performance degradation
Knowledge Graph Architecture
Utilizes O11y Knowledge Graph to structure and correlate data across logs, metrics, and traces for fast search and correlation capabilities
Natural Language Processing for Incident Analysis
Enables troubleshooting of complex incidents using natural language queries through O11y AI for accelerated root cause analysis
Open Data Lake Foundation
Built on Snowflake data lake architecture providing open data storage without vendor lock-in
Multi-Signal Correlation
Correlates and correlates telemetry signals across logs, metrics, and traces with context-aware analysis for incident resolution
Standard contract
No
Customer reviews
Nanthakumar R
Virtual meetings have become more professional and save time with custom backgrounds and screen sharing
Reviewed on Jan 23, 2026
Review from a verified AWS customer
What is our primary use case?
I use Datazoom Data-as-a-Service Platform for meetings, interviews, and calls. During a meeting or interview, I conduct the meeting using the Zoom call.
What is most valuable?
Datazoom Data-as-a-Service Platform is a great service. The Zoom platform is adding very professional features and is very useful for interviewers, meetings, and everything else.
The best features Datazoom Data-as-a-Service Platform offers include the background and background removing capabilities, which provide a nice background for meetings that is very useful in a professional environment.
Whenever we are having a meeting, the background options and the welcome features for meetings help us because we have some presentations, presenting our screens, and sharing our comments and notes, which are very useful.
Datazoom Data-as-a-Service Platform has positively impacted my organization because whenever we are having a small or large meeting, we can conduct it through Zoom, which serves the main purpose. It has helped my team save time during discussions so we can clarify any doubt in a single meeting, and I think it definitely increases productivity.
What needs improvement?
Datazoom Data-as-a-Service Platform could be improved by having a messaging feature. If I have five members and want to instruct a person, I need to message them, so a private chat option would be very helpful. The private messaging is the main thing I would like to see.
For how long have I used the solution?
I have been using Datazoom Data-as-a-Service Platform for around two years.
What do I think about the stability of the solution?
Datazoom Data-as-a-Service Platform is stable.
What do I think about the scalability of the solution?
The scalability of Datazoom Data-as-a-Service Platform is a good thing.
How are customer service and support?
I did not interact with any customer support from the Zoom team, as I have not had the opportunity to interact with customer support.
How would you rate customer service and support?
Negative
Which solution did I use previously and why did I switch?
I did not previously use a different solution before Datazoom Data-as-a-Service Platform.
What was our ROI?
I have seen a return on investment because greater money is saved, and the free version itself provides more services to users, which is a cost-cutting measure. I will definitely go with the free version, but if I move to a higher role, I will purchase the professional version.
What's my experience with pricing, setup cost, and licensing?
The pricing, setup cost, and licensing experience for Datazoom Data-as-a-Service Platform is that the pricing is good and nominal, making it affordable.
Datazoom Data-as-a-Service Platform is an affordable service with a free option available, so I can try a trial and make a decision based on satisfaction.
Which other solutions did I evaluate?
I did not evaluate other options before choosing Datazoom Data-as-a-Service Platform.
What other advice do I have?
Datazoom Data-as-a-Service Platform is great and has great features, so it serves the purpose and is definitely one of the game-changing services. I would rate Datazoom Data-as-a-Service Platform a nine out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)