Acronis Disaster Recovery is a hybrid cloud, all-in-one, complete IT business continuity solution that protects, and restores data, servers, or entire data centers suffering from a natural or man-made disaster.
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Databricks Lakehouse Platform
Score 8.3 out of 10
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Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization. Its Data Science Workspace is a collaborative environment for practitioners to run…
Acronis Disaster Recovery Service is well suited in any scenario where a business has a server environment that they cannot afford to have gone down for any amount of time. It is less suited in a smaller business environment where downtime for several hours does not disrupt the flow of the business enough to offset the cost of Acronis Disaster Recovery Service.
If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.
Pricing can be a hassle and sometimes unpredictable. This is a byproduct of having to sell compute points in a data center as well as the backup software.
Implementation can be a bit complicated; someone who doesn't know what their doing can have a bad recovery experience.
User setup can be tricky unless the reseller themselves builds an automatic system.
Connect my local code in Visual code to my Databricks Lakehouse Platform cluster so I can run the code on the cluster. The old databricks-connect approach has many bugs and is hard to set up. The new Databricks Lakehouse Platform extension on Visual Code, doesn't allow the developers to debug their code line by line (only we can run the code).
Maybe have a specific Databricks Lakehouse Platform IDE that can be used by Databricks Lakehouse Platform users to develop locally.
Visualization in MLFLOW experiment can be enhanced
Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.
in terms of graph generation and interaction it could improve their UI and UX
The reseller or MSP often determine support for the service that the client chooses to purchase the product from. On the reseller or MSP side, Acronis Disaster Recovery Service support is outstanding. They are quick to respond to issues and always have someone available to help answer questions about sales, using the product, or training.
One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
Acronis Disaster Recovery Service provides an entirely cloud-based service that can be managed anywhere without the need for additional hardware. While we do offer other DRaaS options, they mainly involve redundant hardware that is costly and typically not suitable for small clients. Acronis Disaster Recovery Service provides a cloud-based service with agent-based installation at a competitive price.
Compared to Synapse & Snowflake, Databricks provides a much better development experience, and deeper configuration capabilities. It works out-of-the-box but still allows you intricate customisation of the environment. I find Databricks very flexible and resilient at the same time while Synapse and Snowflake feel more limited in terms of configuration and connectivity to external tools.
