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.
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.
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 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.
This contract combines usage-based add-ons with a custom base option. You buy Ingress units for data coming into the platform, Egress units for data sent to your destinations, and Enrichment units for adding metadata from backend systems. Each scales independently based on the volumes set in your Order Form. The MediaTailor Validation Package is a one-time, pre-paid 100GB block for testing the MediaTailor integration. The Datazoom base unit carries no set price; you contact sales for custom pricing. Together, these let you size the platform to your data volumes rather than picking fixed tiers.
Top-of-mind questions for buyers
What is the difference between Ingress, Egress, and Enrichment units?
Ingress units meter data collected into the platform from your apps, players, and ad frameworks. Egress units meter data forwarded out to your destinations. Enrichment units meter metadata injected from backend systems like CRMs or CMSs during streaming. Each is billed separately based on the volumes in your Order Form.
Can I reduce Egress unit consumption if I collect a lot of data?
Yes. The platform includes source-side sampling and filtering to drop unnecessary data before it leaves the device. Context pruning lets you collect large events once, then send lightweight follow-up events carrying only joinable IDs. These controls lower the data volume that counts toward your Egress units.
How does the MediaTailor Validation Package differ from the usage-based units?
The MediaTailor Validation Package is a one-time, pre-paid block of 100GB used to test the MediaTailor integration. It does not renew with usage. The Ingress, Egress, and Enrichment units meter ongoing data volumes set in your Order Form and scale with your actual activity.
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Vendor refund policy
There are no refund policies in our base packages - please contact sales@datazoom.io for more information.
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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.
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.
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
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?