Azure Data Lake Analytics vs. Hashboard (discontinued)

Azure Data Lake Analytics services are beneficial when working with a lot of data. It can process enormous amounts of data extremely quickly. Service is secure and easy to set up, build, scale, and run on Azure. Regarding big data analytics and reporting, parallel processing has a significant impact. It consolidated our analytics from multiple systems and increased our analysis productivity. This tool has excellent support for reporting tools like Power BI and is very quick when performing analytics.

Incentivized

Glean.io is exceptionally well for creating automation data visualisation dashboards. Exploring the data is again highly effective. Visualisations are easily customisable to best suit the requirements of the team. Collaborating and commenting around the dashboards is very smooth. If there are any changes in the system or any feature requests, the support team takes some time to respond

Incentivized

• 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.

Incentivized

• Workflow is easy and clear due to clean and state of the art interface
• Model creation is easy
• Possibility for custom SQL code for database connection is very helpful

Incentivized

• 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.

Incentivized

• Querying has to be done by users only. There can be ways to automate querying using templates
• Not able to clearly check the query run time
• The customer support team can be little more proactive while communicating any changes and resolving any queries

Incentivized

We did some research about Alibaba Cloud Data Lake Analytics and even being cheaper than Azure Data Lake Analytics, we decided to go for the second one once we noticed they have more features and better documentation. Another thing we considered during this process was the fact that we have more people that already have Azure Cloud knowledge.

Incentivized

For simple use cases, Glean.io is a lightweight alternative to SAP Analytics Cloud. Provisioning, testing, and documentation are easier and less intimidating in the Glean.io case. Thus, it is easy to explore without firing up the sales machinery of the big corporates. Thus, the process of looking into and testing it out was way more convenient. Further, the data ops features were new to use and seem to be unique with Glean.io.

Incentivized

• It lets us manage and scan data, making our work easy and efficient.
• It helped me manage real-time data, process it, and send it to reporting.
• Data centralization or data warehousing projects are being implemented with its help.

Incentivized

• Optimised the DB management team by 30%
• Reduce in data visualisation dashboards TAT by 50%
• Increase in revenues and savings by 20%

Incentivized