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What is Datazoom?

Data plays a crucial role in enhancing the effectiveness, profitability, and user experience of streaming video services. Datazoom empowers video publishers to optimize their distributed systems by centralizing, standardizing, and integrating data in real-time, thereby creating a robust data pipeline that enhances observability and adaptability while streamlining solutions. As a video data platform, Datazoom continuously collects data from various endpoints, including CDNs and video players, through a network of collectors. Once this data is collected, it is normalized using consistent data definitions, ensuring uniformity across the board. Subsequently, the refined data is transmitted through connectors to various analytics platforms like Google BigQuery, Google Analytics, and Splunk, allowing for seamless integration. Visualization tools such as Looker or Superset can then be utilized to interpret and analyze this data effectively. By leveraging Datazoom, you unlock the potential for a more efficient and impactful data pipeline, enabling you to access the necessary data swiftly and address any urgent issues without delay. In a fast-paced digital landscape, timely access to accurate data can make all the difference in maintaining a competitive edge.

What is DPR?

QVIKPREP's Data Prep Runner (DPR) transforms the data preparation landscape, significantly boosting data management effectiveness. By optimizing the data processing workflow, companies can enhance their operational efficiency, seamlessly compare datasets, and advance their data profiling efforts. This innovative tool aids in conserving precious time when organizing data for tasks like operational reporting, data analysis, and transferring information across diverse systems. Moreover, it reduces the risks tied to data integration project timelines, enabling teams to detect potential challenges early on through comprehensive data profiling. The automation of data processing not only elevates productivity for operations teams but also supports the straightforward management of data preparation, resulting in the establishment of a robust data pipeline. DPR incorporates historical data checks to improve accuracy, ensuring that transactions are efficiently routed into systems and maximizing the utility of data for automated testing. By ensuring the punctual completion of data integration initiatives, it empowers organizations to identify and rectify data discrepancies proactively, rather than waiting until the testing phases. Additionally, the tool supports data validation via pre-set rules and allows for the correction of data within the pipeline seamlessly. The inclusion of color-coded reports makes comparing data from various sources straightforward, solidifying DPR as an essential tool for any organization. In the end, utilizing DPR not only streamlines operational processes but also cultivates a culture centered around data-driven decision-making, ultimately positioning businesses for future success.

Media

Media

Integrations Supported

Amazon Kinesis
Amazon Redshift
Amazon S3
Amplitude
Apache Superset
Datadog
Fastly
Google Analytics
Google Cloud BigQuery
Google Cloud Storage
Haystack
Looker
Microsoft Azure
New Relic
Snowflake
Splunk Cloud Platform

Integrations Supported

Amazon Kinesis
Amazon Redshift
Amazon S3
Amplitude
Apache Superset
Datadog
Fastly
Google Analytics
Google Cloud BigQuery
Google Cloud Storage
Haystack
Looker
Microsoft Azure
New Relic
Snowflake
Splunk Cloud Platform

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$50 per user per year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Datazoom

Date Founded

2017

Company Location

United States

Company Website

www.datazoom.io

Company Facts

Organization Name

Qvikly

Date Founded

2013

Company Location

United States

Company Website

qvikprep.com

Categories and Features

Video

Analytics
Brand Overlay
Bulk Uploading
Closed Captions
Mobile Screen Support
Privacy Options
Social Sharing
Video Looping
Video Streaming

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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