Name

Datazoom

Legal name

Datazoom, Inc.

Website

https://datazoom.io

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

1–10 employees

Ownership category

akta.pro rank

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations

Revenue model

1. Data-as-a-Service Platform Subscription: Cloud-based Data-as-a-Service platform providing data collection, processing, and delivery capabilities on a subscription basis. Enables customers to collect data once and forward to various partner tools, eliminating redundant third-party SDKs.
2. Usage-based Data Delivery: Syndication feature allows sharing data with third parties with usage fees charged to the receiving third party. Supports both real-time and batch data delivery modes.

Pricing tiers

Go-to-market motion3 records

Distribution channels2 records

Marketing channels5 records

Core offering

Datazoom sells a cloud-based Data-as-a-Service platform, fully built on AWS, that provides a single, unified real-time data collection and activation layer for streaming video and digital experience data. Its lightweight, non-blocking SDKs replace fragmented third-party SDKs across every major application platform, media player, and ad framework, capturing and standardizing over 200 pre-defined events and metadata. Customers route this data in real time (sub-second) or batch to analytics warehouses (Kinesis, BigQuery, S3, Azure Blob) and marketing tools (Braze, Salesforce), and can syndicate it to partners with usage-based fees billed to recipients.

Product overview

Datazoom is an enterprise technology company offering a cloud-based Data-as-a-Service platform for real-time data collection and activation. The core Datazoom Platform provides a unified SDK-based data collection layer that replaces fragmented third-party SDKs, enabling publishers, media platforms, and technology vendors to capture standardized behavioral, playback, and advertising data. The platform integrates with the Data Dictionaries (standardized event schemas), Verified Session Token (for ad revenue optimization), and various SDK collectors including React Native and Chromecast. Data is delivered in real-time (sub-second) or batch mode to destinations including analytics platforms (Kinesis, BigQuery), data warehouses (S3, Azure Blob), and marketing tools (Braze, Salesforce). The company also provides the Datatecture as an educational resource mapping the streaming video technology ecosystem.

Differentiator

Problem solved

Functional benefit

Products and services

• Datazoom Platform Unified real-time data collection and activation platform, fully built on AWS, that replaces fragmented third-party SDKs with a single data layer for Analytics, Ads, and AI applications. Captures and standardizes behavioral, playback, and advertising data across applications, media players, and ad frameworks and delivers it in real time or batch to destinations such as Amazon Kinesis, Google BigQuery, Amazon S3, Azure Blob Storage, Braze, and Salesforce. Used by enterprise publishers, media platforms, ecommerce platforms, apps and games developers, ad-tech and measurement vendors.
• Verified Session Token (VST) Session token feature designed to enable better viewer identification and session tracking, with the goal of driving more advertising revenue through improved ad targeting, attribution, and verification. Used by publishers, media platforms, and ad measurement partners relying on Datazoom's data layer.
• Data Dictionaries Standardized event and metadata schemas including Application, Media Player, Ad Framework, and CDN Data Dictionaries that enable consistent data collection across platforms and players. Powers the platform's 200+ pre-defined, auto-collected events and supports User, Content, Advertising, QoE, and Custom categories. Used by enterprise publishers and ad-tech partners to align data definitions across the streaming ecosystem.
• Data Collection SDKs Lightweight, non-blocking SDKs available for every major application platform, media player, and ad framework, capturing behavioral and playback data without compromising player performance or build stability. Includes platform-specific collectors (web, mobile, smart TV, OTT) plus the React Native Collector and Chromecast Collector. Used by developers and engineering teams at publishers, ecommerce platforms, and app developers.
• Datatecture Hierarchical visualization and educational resource mapping the data ecosystem of streaming video technology, with a vendor directory and category explanations spanning Infrastructure, Operations, and Workflow layers. Used by publishers, ad-tech partners, and technology decision-makers navigating the streaming video ecosystem.
• Chromecast Collector JavaScript SDK component for Chromecast custom receiver pages that enables unified data collection during casting sessions, orchestrating between sender and receiver applications to capture cast_transfer events and continuity across casting handoffs. Used by streaming publishers building Chromecast-enabled experiences.

Quantifiable outcome

• Eliminate redundant third-party SDKs by collecting data once and forwarding to multiple partner tools
• +2 more outcomes

Named customers4 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration15 records

AI capability2 records

Feature10 records

Partnerships

Two partnerships are on record, tiered core.

• Amazon Web Services (AWS)coreTechnology or IntegrationDatazoom platform is fully built on AWS infrastructure. AWS is listed as a trusted collaborator with dedicated partner page. Platform leverages AWS services for financial-grade data services at any scale.
• HydrolixcoreTechnology or IntegrationListed as a trusted collaborator with dedicated partner page and logo placement. Hydrolix provides streaming data lake technology. Note: Hydrolix is a separate company that raised $80M Series C in August 2025, mentioned in unrelated news content.

Scale indicators3 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Conviva: Conviva is the most direct competitor to Datazoom, offering real-time video analytics and experience data for streaming publishers and platforms. Both companies target streaming video QoE and ad-measurement use cases with SDK-based data collection across media players and ad frameworks.
• Segment (Twilio): Segment is the leading customer data platform providing SDK-based data collection, transformation, and forwarding to downstream destinations. Datazoom competes with Segment for the same 'collect once, activate everywhere' value proposition, particularly for publishers and digital media customers.
• mParticle: mParticle offers a customer data platform with SDK-based data collection, identity resolution, and destination routing. It is a direct peer to Datazoom in the enterprise data collection layer, with similar PLG + enterprise GTM motions and comparable destination ecosystems.
• Tealium: Tealium provides tag management and customer data infrastructure, including real-time event collection, enrichment, and routing to downstream analytics and marketing tools. Its value proposition for unifying fragmented client-side data collection overlaps directly with Datazoom's.
• RudderStack: RudderStack is a warehouse-native customer data platform with SDK-based event collection and server-side routing. It competes with Datazoom for enterprise customers looking to consolidate client-side data collection into a single pipeline.
• Mux Data: Mux Data is a video QoE and analytics product targeting streaming platforms with SDK-based playback data collection. It is a direct peer for the streaming-video QoE and ad-measurement use cases that Datazoom addresses.

Broad incumbents

• Adobe Analytics: Adobe Analytics is a broad enterprise web/digital analytics platform with SDK-based data collection and real-time reporting. It overlaps with Datazoom in publisher and media analytics but as part of Adobe Experience Cloud's wider portfolio rather than a streaming-only focus.
• Amplitude: Amplitude is a product analytics platform with SDK-based event collection used by apps, gaming, and digital media customers. It overlaps with Datazoom's apps/games and publisher segments as part of a broader product analytics suite.
• Comscore: Comscore provides cross-platform audience and streaming video measurement for publishers and broadcasters. It is comparable to Datazoom at the use-case level (streaming video measurement) but operates as a large, established measurement incumbent rather than a data infrastructure vendor.

Emerging players

• Hydrolix: Hydrolix is a streaming data lake platform built on AWS that Datazoom lists as a strategic 'Trusted Collaborator.' It is comparable as an emerging infrastructure peer in the real-time streaming data ecosystem and intersects with Datazoom at the destination/storage layer.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/datazoom_io

Compliance4 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles10 records

Funding overview

Funding rounds4 records

Investors6 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Datazoom