TrustRadius

Alpha Serve vs. Databricks Data Intelligence Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Alpha Serve
Score 7.0 out of 10
N/A
Alpha Serve, now part of Tempo, creates enterprise-grade connectors and apps for ServiceNow, Atlassian and Shopify to help companies and users increase the authentication security level, benefit from BI connectors and easier data exports.N/A
Databricks Data Intelligence Platform
Score 8.5 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
Alpha ServeDatabricks 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
Alpha ServeDatabricks 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
Alpha ServeDatabricks Data Intelligence Platform
Considered Both Products
Alpha Serve
Verified User
Anonymous
Chose Alpha Serve
Integrated user interface similar to ServiceNow along with multiple filtering options and export the report. Different role for administrative task and to view only roles for end users. Incremental refresh helped in load balance by getting only the new or changed data. …
Databricks Data Intelligence Platform
Austin Franchino | TrustRadius Reviewer
Austin Franchino
Senior Data and Security Engineer
Chose Databricks Data Intelligence Platform
Databricks is a true all-in-one platform, and at the time of implementation, it had more features available to us, making it a clear choice over Snowflake. Moving our workloads from local computing to the servers in Databricks gave our start-up staff a great quality of life …
Axel Richier | TrustRadius Reviewer
Axel Richier
Tech Lead Data Engineer
Chose Databricks Data Intelligence Platform
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 …
Verified User
Anonymous
Chose Databricks Data Intelligence Platform
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 …
Verified User
Anonymous
Chose Databricks Data Intelligence Platform
Databricks has a much better edge than Synapse in hundred different ways. Databricks has Photon engine, faster available release in cloud and databricks does not run on Open source spark version so better optimization, better performance and better agility and all kind of …
Chose Databricks Data Intelligence Platform
Databricks [Lakehouse Platform (Unified Analytics Platform)] can work with all data types in their original format while Snowflake requires additional structures to fit the data before loading it. Databricks is open source so potential is far greater.
Surendranatha Reddy Chappidi | TrustRadius Reviewer
Surendranatha Reddy Chappidi
Senior Data Engineer
Chose Databricks Data Intelligence Platform
Databricks provides support for CURD operations by introducing Delta Lake file format.
Cloudera doesn't have support for the same.
Verified User
Anonymous
Chose Databricks Data Intelligence Platform
Databricks was picked among other competitors. Closest competition in our organization was H2O.ai and Databricks came out to be more useful for ROI and time to market in our internal research.
We could have used AWS products, however Databricks notebooks and ability to launch …
Verified User
Anonymous
Chose Databricks Data Intelligence Platform
When we started using it, only the notebook experience was mature. However, DB was very helpful giving us direct support to get onto their platform. Really there was little in the way to compare to them at the time. AWS has services but not the same low-cost angle.
Ann Le | TrustRadius Reviewer
Ann Le
Freelance Translator
Chose Databricks Data Intelligence Platform
I also use Microsoft Azure Machine Learning in parallel with Databricks. They use different file formats which teach me to be flexible and able to write different programs. They are equally useful to me and I would like to master both platforms for any future usage. I do prefer …
Verified User
Anonymous
Chose Databricks Data Intelligence Platform
Easier to set up and get started. Less of a learning curve.
Best Alternatives
Alpha ServeDatabricks Data Intelligence Platform
Small Businesses
Skyvia
Skyvia
Score 9.9 out of 10

No answers on this topic

Medium-sized Companies
Square 9 Softworks
Square 9 Softworks
Score 9.1 out of 10
Snowflake
Snowflake
Score 8.9 out of 10
Enterprises
IBM Cloud Pak for Business Automation
IBM Cloud Pak for Business Automation
Score 9.0 out of 10
Snowflake
Snowflake
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Alpha ServeDatabricks Data Intelligence Platform
Likelihood to Recommend
7.0
(0 ratings)
10.0
(0 ratings)
Usability
8.0
(0 ratings)
10.0
(0 ratings)
Support Rating
-
(0 ratings)
8.7
(0 ratings)
User Testimonials
Alpha ServeDatabricks Data Intelligence Platform
Likelihood to Recommend
No code and prebuilt templates are very easy and convenient for anyone without programming skills to adopt and use it. User Interface and Role based reporting helps business and application users for their specific reporting needs. For day-to-day activities where only, few reports are needed this tool felt as less appropriate
Verified User
Anonymous
Read full review
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.
Verified User
Anonymous
Read full review
Pros
  • Advanced Filtering Options
  • Convenient User Interface
  • Different User Roles
Verified User
Anonymous
Read full review
  • There is databricks community, which is a free version. It is available for beginners to have an easy start with a big data platform. It does not have every feature of the full version but is still adequate for extremely new coders.
  • There are many resourceful training elements that are available to developers, data scientists, data engineers and other IT professionals to learn Apache Spark.
Ann Le | TrustRadius Reviewer
Ann Le
Freelance Translator
Read full review
Cons
  • Frequency of Data Refresh
  • Pricing
  • Reliable Support
Verified User
Anonymous
Read full review
  • 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
Verified User
Anonymous
Read full review
Usability
Simplicity of the API is easy any developer for the initial API integration and HTTPS for the secure and encryption of the data. Various data applications can be combined for consolidated reporting and exporting capabilities of the report. Added advantage is using the incremental refresh, which only sends the new or changed data.
Verified User
Anonymous
Read full review
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
Verified User
Anonymous
Read full review
Support Rating
No answers on this topic
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.
Jonatan Bouchard | TrustRadius Reviewer
Jonatan Bouchard
Director Data Science
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Alternatives Considered
Integrated user interface similar to ServiceNow along with multiple filtering options and export the report. Different role for administrative task and to view only roles for end users. Incremental refresh helped in load balance by getting only the new or changed data. Consolidated reports for various business applications and HTTPS layer for sending the data.
Verified User
Anonymous
Read full review
Databricks is a true all-in-one platform, and at the time of implementation, it had more features available to us, making it a clear choice over Snowflake. Moving our workloads from local computing to the servers in Databricks gave our start-up staff a great quality of life boost.
Austin Franchino | TrustRadius Reviewer
Austin Franchino
Senior Data and Security Engineer
Read full review
Return on Investment
  • Pre-built templates
  • User Interface
  • Cost is the negative impact
Verified User
Anonymous
Read full review
  • ROI for us has been tremendous. Time to market by processing raw data in our big data infrastructure has been pretty fast.
  • Non engineers can easily use Databricks, hence helping business customers.
  • Thousands of different data combinations can easily be joined and used by our data teams.
Verified User
Anonymous
Read full review
ScreenShots