Databricks Lakehouse Platform vs. Spoom

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
Spoom
Score 6.0 out of 10
Mid-Size Companies (51-1,000 employees)
Spoom (formerly Analyza) is a business intelligence solution that is provided by Spoom Software (formerly PIT Business). The vendor provides support services in Luxembourg, Belgium, France, and other parts of Europe. Spoom allows users to: Build several indicators and dashboards Build ad-hoc analysis without IT knowledge Navigate through data via drill-down and filtering Schedule reports and send results by mail or to external…
$15,000
per installation (including licences and maintenance for 3 years)
Pricing
Databricks Lakehouse PlatformSpoom
Editions & Modules
Standard
$0.07
Per DBU
Premium
$0.10
Per DBU
Enterprise
$0.13
Per DBU
Analyza Standalone
$15,000
per installation (including licences and maintenance for 3 years)
Analyza Cloud
$15,000
per installation (including licences and maintenance for 3 years)
Offerings
Pricing Offerings
Databricks Lakehouse PlatformSpoom
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup fee$15,000 per installation (including licences and maintenance for 3 years)
Additional DetailsThe On-Premise or SaaS solutions are the same price; we provide a dedicated machine or virtual machine for both. For 10 users, the budget is from $15,000 to $90,000 for a full Business Intelligence solution (including licenses and maintenance for 3 years). The installation and configuration cost depends on customer's data architecture, volume and number of sources. It also depends on customizations required (i.e.: exporting pixel to pixel PDF files to a SharePoint platform).
More Pricing Information
Community Pulse
Databricks Lakehouse PlatformSpoom
Top Pros
Top Cons
Features
Databricks Lakehouse PlatformSpoom
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Databricks Lakehouse Platform
-
Ratings
Spoom
7.6
1 Ratings
6% below category average
Pixel Perfect reports00 Ratings7.31 Ratings
Customizable dashboards00 Ratings8.21 Ratings
Report Formatting Templates00 Ratings7.31 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Databricks Lakehouse Platform
-
Ratings
Spoom
8.4
1 Ratings
1% above category average
Drill-down analysis00 Ratings9.11 Ratings
Formatting capabilities00 Ratings8.21 Ratings
Integration with R or other statistical packages00 Ratings8.21 Ratings
Report sharing and collaboration00 Ratings8.21 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Databricks Lakehouse Platform
-
Ratings
Spoom
8.9
1 Ratings
8% above category average
Publish to Web00 Ratings8.21 Ratings
Publish to PDF00 Ratings9.11 Ratings
Report Versioning00 Ratings9.11 Ratings
Report Delivery Scheduling00 Ratings9.11 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Databricks Lakehouse Platform
-
Ratings
Spoom
7.3
1 Ratings
5% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.31 Ratings
Predictive Analytics00 Ratings7.31 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Databricks Lakehouse Platform
-
Ratings
Spoom
7.7
1 Ratings
13% below category average
Multi-User Support (named login)00 Ratings7.31 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.21 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Databricks Lakehouse Platform
-
Ratings
Spoom
8.2
1 Ratings
2% above category average
Responsive Design for Web Access00 Ratings9.11 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.31 Ratings
Best Alternatives
Databricks Lakehouse PlatformSpoom
Small Businesses

No answers on this topic

IBM Planning Analytics
IBM Planning Analytics
Score 8.4 out of 10
Medium-sized Companies
Snowflake
Snowflake
Score 9.0 out of 10
Centage
Centage
Score 9.6 out of 10
Enterprises
Snowflake
Snowflake
Score 9.0 out of 10
Oracle Fusion Cloud ERP
Oracle Fusion Cloud ERP
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Databricks Lakehouse PlatformSpoom
Likelihood to Recommend
8.4
(17 ratings)
8.2
(1 ratings)
Usability
9.4
(3 ratings)
-
(0 ratings)
Support Rating
8.6
(2 ratings)
-
(0 ratings)
Contract Terms and Pricing Model
8.0
(1 ratings)
-
(0 ratings)
Professional Services
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
Databricks Lakehouse PlatformSpoom
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.
Read full review
Spoom Software
It is well suited when you have several sources of data.
Read full review
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
Read full review
Spoom Software
  • Easy to use
  • Focus on analyzing and not on finding and loading data
  • "One version of the truth"
Read full review
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
Read full review
Spoom Software
  • I would like to have more modules. Eg. : supply chain tool.
Read full review
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
Read full review
Spoom Software
No answers on this topic
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.
Read full review
Spoom Software
No answers on this topic
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.
Read full review
Spoom Software
Cognos is very expensive and needs heavy IT-team to implement it.
Read full review
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.
Read full review
Spoom Software
No answers on this topic
ScreenShots

Spoom Screenshots

Screenshot of Dashboard in AnalyzaScreenshot of Table in AnalyzaScreenshot of Vertical chart in AnalyzaScreenshot of Customized table in AnalyzaScreenshot of Data raw export in AnalyzaScreenshot of Authentification in Analyza