Databricks Lakehouse Platform vs. SAP Adaptive Server Enterprise (ASE), legacy

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Databricks Lakehouse Platform
Score 8.1 out of 10
N/A
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…
$0.07
Per DBU
SAP Adaptive Server Enterprise (ASE), legacy
Score 8.1 out of 10
N/A
SAP® Adaptive Server® Enterprise (SAP ASE) was a solution that handled massive volumes of data and thousands of concurrent users to accelerate the growth of new data-driven business applications. SAP ASE is a legacy product. It is end of sale (EOS), and reached End of Mainstream Maintenance December 2020.N/A
Pricing
Databricks Lakehouse PlatformSAP Adaptive Server Enterprise (ASE), legacy
Editions & Modules
Standard
$0.07
Per DBU
Premium
$0.10
Per DBU
Enterprise
$0.13
Per DBU
No answers on this topic
Offerings
Pricing Offerings
Databricks Lakehouse PlatformSAP Adaptive Server Enterprise (ASE), legacy
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Databricks Lakehouse PlatformSAP Adaptive Server Enterprise (ASE), legacy
Top Pros
Top Cons
Best Alternatives
Databricks Lakehouse PlatformSAP Adaptive Server Enterprise (ASE), legacy
Small Businesses

No answers on this topic

SingleStore
SingleStore
Score 9.7 out of 10
Medium-sized Companies
Snowflake
Snowflake
Score 9.0 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Enterprises
Snowflake
Snowflake
Score 9.0 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Databricks Lakehouse PlatformSAP Adaptive Server Enterprise (ASE), legacy
Likelihood to Recommend
8.4
(17 ratings)
10.0
(2 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(1 ratings)
Usability
9.4
(3 ratings)
9.0
(1 ratings)
Support Rating
8.6
(2 ratings)
9.7
(2 ratings)
Contract Terms and Pricing Model
8.0
(1 ratings)
-
(0 ratings)
Professional Services
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
Databricks Lakehouse PlatformSAP Adaptive Server Enterprise (ASE), legacy
Likelihood to Recommend
Databricks
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.
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Discontinued Products
High-performance, high-concurrency transactions are well suited for ASE. ASE is lacking some features in my opinion such as history tables, however there are ways to implement them via workarounds or by using Replication Server. I do think the way the ASE parser and optimizer works are far superior to other products as it is a true cost-based optimizer and the order of the tables in the FROM clause does not really matter although a good SQL coder will place the tables in a meaningful order to make the SQL more readable. ASE is good for applications that require high availability and can be used for mission critical systems.
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Pros
Databricks
  • Process raw data in One Lake (S3) env to relational tables and views
  • Share notebooks with our business analysts so that they can use the queries and generate value out of the data
  • Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
  • Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers
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Discontinued Products
  • Easy to setup and maintain
  • Reliable, rarely has major hiccups requiring reboots or crashes
  • Very responsive with complicated queries spanning various tablespaces and hundreds of millions of rows
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Cons
Databricks
  • 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
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Discontinued Products
  • Full database encryption - need to utilize external keys vs internal - for better separation of duties.
  • History Tables.
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Likelihood to Renew
Databricks
No answers on this topic
Discontinued Products
Our licenses are perpetual. It is the support that we will be renewing. We will renew because we continue to use and receive value from the product.
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Usability
Databricks
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
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Discontinued Products
It does almost everything we need and for the things it doesn't do natively, we are still able to do using other features. For example, natively history tables weren't supported but we were able to create them using triggers.
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Support Rating
Databricks
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.
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Discontinued Products
Incredibly responsive, saving us countless hours in troubleshooting.
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Alternatives Considered
Databricks
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.
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Discontinued Products
Much less effort than Oracle. Much better customer support than Oracle. Roughly equivalent to SQL Server in performance and ease of use. Much better customer service than SQL Server. Different ballpark from IQ. Same customer service.
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Return on Investment
Databricks
  • The ability to spin up a BIG Data platform with little infrastructure overhead allows us to focus on business value not admin
  • DB has the ability to terminate/time out instances which helps manage cost.
  • The ability to quickly access typical hard to build data scenarios easily is a strength.
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Discontinued Products
  • Negative - Costs a lot ... but so do they all.
  • Positive - It does what we need it to do.
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ScreenShots