Anyscale Unified Compute Platform vs. Databricks Data Intelligence Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Anyscale
Score 9.0 out of 10
N/A
The Anyscale Platform is a managed Ray open source platform, offering a better experience for developers and AI teams to speed development, and deploy AI/ML workloads at scale. Anyscale Workspaces provides an integrated IDE experience that allows teams to edit and run code, install dependencies, monitor jobs and resources across a scalable cluster, just as they would on a laptop.N/A
Databricks Data Intelligence Platform
Score 8.7 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
Pricing
Anyscale Unified Compute PlatformDatabricks Data Intelligence Platform
Editions & Modules
No answers on this topic
Standard
$0.07
Per DBU
Premium
$0.10
Per DBU
Enterprise
$0.13
Per DBU
Offerings
Pricing Offerings
AnyscaleDatabricks Data Intelligence Platform
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
Anyscale Unified Compute PlatformDatabricks Data Intelligence Platform
Best Alternatives
Anyscale Unified Compute PlatformDatabricks Data Intelligence Platform
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10

No answers on this topic

Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Snowflake
Snowflake
Score 8.7 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Snowflake
Snowflake
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Anyscale Unified Compute PlatformDatabricks Data Intelligence Platform
Likelihood to Recommend
-
(0 ratings)
10.0
(18 ratings)
Usability
-
(0 ratings)
10.0
(4 ratings)
Support Rating
-
(0 ratings)
8.7
(2 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
8.0
(1 ratings)
Professional Services
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Anyscale Unified Compute PlatformDatabricks Data Intelligence Platform
Likelihood to Recommend
Anyscale
No answers on this topic
Databricks
Medium to Large data throughput shops will benefit the most from Databricks Spark processing. Smaller use cases may find the barrier to entry a bit too high for casual use cases. Some of the overhead to kicking off a Spark compute job can actually lead to your workloads taking longer, but past a certain point the performance returns cannot be beat.
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Pros
Anyscale
No answers on this topic
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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Cons
Anyscale
No answers on this topic
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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Usability
Anyscale
No answers on this topic
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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Support Rating
Anyscale
No answers on this topic
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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Alternatives Considered
Anyscale
No answers on this topic
Databricks
The most important differentiating factor for Databricks Lakehouse Platform from these other platforms is support for ACID transactions and the time travel feature. Also, native integration with managed MLflow is a plus. EMR, Cloudera, and Hortonworks are not as optimized when it comes to Spark Job Execution. Other platforms need to be self-managed, which is another huge hassle.
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Return on Investment
Anyscale
No answers on this topic
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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