" Azure Data Lake Analytics is accurate, fast, and reliable."
To make our work more accessible and more efficient, Azure Data Lake has provided fast access to and analysis of data. This product solves …
Overview
What is Azure Data Lake Analytics?
Microsoft's Azure Data Lake Analytics is a BI service for processing big data jobs without consideration for infrastructure.
Recent Reviews
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Pricing
N/A
Unavailable
What is Azure Data Lake Analytics?
Microsoft's Azure Data Lake Analytics is a BI service for processing big data jobs without consideration for infrastructure.
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
Alternatives Pricing
What is Klipfolio?
Klipfolio PowerMetrics is a metric-centric business intelligence platform. Data teams are able to bring all of their data together and create a catalog of verified metrics that end users are able to explore and visualize using self-serve dashboards and reports.
What is Active Query Builder?
Active Query Builder is a component for business applications which helps users without any SQL experience to work with SQL queries and get data fast. Users can get a clear view of database schema and design SQL queries with natural point-and-click actions rather than tedious typing. Active Query…
Product Details
- About
- Tech Details
What is Azure Data Lake Analytics?
Azure Data Lake Analytics Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Comparisons
Compare with
Reviews and Ratings
(17)Reviews
(1-6 of 6)Companies can't remove reviews or game the system. Here's why
- It combines big data.
- Monitors and alerts are helpful.
- Report visualization relies on analytics.
- It is compatible with Power BI services for report generation.
- The data pipeline is managed and monitored inefficiently.
- Streaming and event processing workloads are lacking.
- It's memory-intensive but useful for networking data and cloud storage.
July 26, 2022
Fast and scalable azure data lake analytics!
- Process large data transformation jobs using pretty much any language needed.
- Native integration with Azure storage.
- Top notch security that fulfills all audit needs.
- Easy to consolidate enterprise data under one location - Single source of truth.
- Learning curve and professional services were the only reason why we got up and running quickly - Not a downside but a need to know.
- Allows us to take in data, unstructured or structured
- Good documentation
- SaaS
- AWS Glue could be more effective.
- There is no 24/7 support.
- Documentation is not available online.
July 03, 2022
Good choice regarding features
- Easy usage
- Interface
- Connectivity
- Sometimes requires previous experience in cloud.
January 18, 2022
Value for Volume
- Effective and efficient data storage
- pretty fast querying ability
- Incredibly scalable (need based usage and billing)
- There's a bit of bias towards cloud with ADL Analytics. Depending upon a company's infra strategy and investment plans, there are some challenges with migration and integeration.
- Not worth the time/effort/money if the organization doesn't have "Volume" of data. Cost effective only when daily loads exceed around 1million.
- While training materials are available online, Adoption rate - Yet to pick up.
December 08, 2021
Aggregate Data Lake Data
- Reporting
- Data Aggregation
- Trends
- Pricing model, I understand why it is per jib but our junior engineers make mistakes.