Databricks vs Sisense comparison

The compared Databricks and Sisense solutions aren't in the same category. Databricks is ranked #9 in CDW , with an average rating of 8.4, and holds a 8.3% mindshare in the category. Sisense is ranked #18 in BIT , with an average rating of 8.3, and holds a 1.1% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 95% of Sisense users who would recommend it.

Databricks

Read 91 Databricks reviews

20,775 Views
1,870 Comparison Views

96% willing to recommend

Sisense

Read 42 Sisense reviews

1,986 Views
1,271 Comparison Views

95% willing to recommend

Databricks

Sisense

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Databricks and Sisense based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: October 2025).

Buyer's Guide

Cloud Data Warehouse

October 2025

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Helped 869,785 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

6.6

Organizations benefit from Databricks' cost-effectiveness and efficiency, though some find evaluating immediate gains challenging due to specific contexts.

Sentiment score

6.8

Sisense streamlines report processes, saves time, and benefits decision-making, though effectiveness varies by user experience and region.

For a lot of different tasks, including machine learning, it is a nice solution.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

When it comes to big data processing, I prefer Databricks over other solutions.

IshwarSukheja

Head CEO at bizmetric

For more quotes and insights, download the Databricks report

Due to the data presented to stakeholders, they are able to make informed decisions that impact the day-to-day operations of the client, giving them more insights into what's happening within their organization.

Vishal Halbe

System Integration Specialist at a non-profit with self employed

For more quotes and insights, download the Sisense report

Customer Service

Sentiment score

7.1

Databricks customer service is praised for responsiveness and expertise, despite occasional delays and communication issues via Microsoft.

Sentiment score

7.6

Sisense's customer service is praised for responsiveness, expertise, and effective communication, supporting client success despite occasional delays.

Whenever we reach out, they respond promptly.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

As of now, we are raising issues and they are providing solutions without any problems.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

I rate the technical support as fine because they have levels of technical support available, especially partners who get really good support from Databricks on new features.

Lax Kas

Data Engineer at CRAFT Tech

For more quotes and insights, download the Databricks report

The support was very good.

Jason Berman

Business Intelligence & Reporting Manager at a tech vendor with 51-200 employees

For more quotes and insights, download the Sisense report

Scalability Issues

Sentiment score

7.4

Databricks provides excellent scalability, supporting diverse data sizes and sectors with high-performance cloud infrastructure and cost-effective management.

Sentiment score

7.3

Sisense is scalable and user-friendly, but querying time increases with more data; security requires careful management.

The patches have sometimes caused issues leading to our jobs being paused for about six hours.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

Databricks is an easily scalable platform.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

I would rate the scalability of this solution as very high, about nine out of ten.

Lax Kas

Data Engineer at CRAFT Tech

For more quotes and insights, download the Databricks report

Sisense works really well for simple to medium use cases and scales well.

Vishal Halbe

System Integration Specialist at a non-profit with self employed

For more quotes and insights, download the Sisense report

Stability Issues

Sentiment score

7.7

Databricks is stable and reliable, with high performance and robustness, despite occasional minor issues resolved quickly.

Sentiment score

7.8

Sisense is generally stable, with occasional data import issues and slow dashboard loads, but overall reliable performance.

They release patches that sometimes break our code.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

Databricks is definitely a very stable product and reliable.

AvivCohen

Data Engineer at Cellebrite

For more quotes and insights, download the Databricks report

No quotes available

For more quotes and insights, download the Sisense report

Room For Improvement

Databricks users desire advanced visualization, better integration, enhanced documentation, predictive analytics features, and improved user experience and tools.

Sisense should improve large dataset support, add connectors, enhance interfaces, and expand customization for better performance and user experience.

Adjusting features like worker nodes and node utilization during cluster creation could mitigate these failures.

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.

Rama Subba Reddy Thavva

Solution Architect at Mercedes-Benz AG

For more quotes and insights, download the Databricks report

I would like to see an improvement in the live data connection, specifically making the process faster.

Jason Berman

Business Intelligence & Reporting Manager at a tech vendor with 51-200 employees

It could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle.

Vishal Halbe

System Integration Specialist at a non-profit with self employed

For more quotes and insights, download the Sisense report

Setup Cost

Databricks' pricing is seen as high for large data volumes but competitive for batch processing on cloud platforms.

Sisense offers competitive enterprise pricing from $35,000, suitable for mid-stage startups and large enterprises, with customizable options.

It is not a cheap solution.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

For more quotes and insights, download the Databricks report

There was no significant difference in pricing between Sisense and ThoughtSpot.

Jason Berman

Business Intelligence & Reporting Manager at a tech vendor with 51-200 employees

For more quotes and insights, download the Sisense report

Valuable Features

Databricks simplifies large-scale analytics with user-friendly UI, powerful integrations, and scalable features for enhanced performance and collaboration.

Sisense seamlessly integrates diverse data sources, enabling efficient dashboard creation with fast processing and strong support, enhancing business efficiency.

Databricks' capability to process data in parallel enhances data processing speed.

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.

Lax Kas

Data Engineer at CRAFT Tech

For more quotes and insights, download the Databricks report

It offers two ways to access data: by cubing the data or hitting it live.

Jason Berman

Business Intelligence & Reporting Manager at a tech vendor with 51-200 employees

It allows the user to cater to different use cases and is a very fast aggregator across different data sources, giving you the historical context and helping in operationalizing your data.

Vishal Halbe

System Integration Specialist at a non-profit with self employed

For more quotes and insights, download the Sisense report

Categories and Ranking

Databricks

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (9th), Data Science Platforms (1st), Streaming Analytics (1st)

Sisense

Average Rating

8.8

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (18th), Cloud Analytics (6th), Reporting (13th), Data Visualization (13th), Embedded BI (8th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.3%, up 5.9% compared to last year.
Sisense, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.1% mindshare, down 1.4% since last year.

Cloud Data Warehouse Market Share Distribution
Product	Market Share (%)
Databricks	8.3%
Snowflake	17.7%
Dremio	8.9%
Other	65.1%

Cloud Data Warehouse

BI (Business Intelligence) Tools Market Share Distribution
Product	Market Share (%)
Sisense	1.1%
Microsoft Power BI	14.1%
Tableau Enterprise	10.3%
Other	74.5%

BI (Business Intelligence) Tools

Featured Reviews

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

Capability to integrate diverse coding languages in a single notebook greatly enhances workflow

Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.

Read full review

Vishal Halbe

System Integration Specialist at a non-profit with self employed

Has improved project turnaround time with customizable dashboards and faster data delivery to stakeholders

Sisense has some limitations, especially in rendering tables or graphs. For example, if you want to perform custom sorting or searching based on multiple columns, that becomes quite tricky. Providing more control over how the data is sorted or filtered would be quite useful. Additionally, it could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle. Sisense should provide more support for CI/CD, as we found the CI/CD approach quite limited, which is something that can be worked on. Some data scientists suggested more features can be offered by providing different models for data analytics. Sisense can improve by adding more features for handling complex schemas and making the pricing straightforward. The dashboarding features are good enough, but additional features could make it even more attractive. Also, CI/CD support or source control support would be really helpful.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

Manufacturing Company

Healthcare Company

Financial Services Firm

18%

Computer Software Company

10%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	25
Midsize Enterprise	12
Large Enterprise	56

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	7
Large Enterprise	11

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

See all answers

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

See all answers

What needs improvement with Sisense?

I would like to see an improvement in the live data connection, specifically making the process faster. Additionally, incorporating more self-service capabilities would benefit the product.

See all answers

What is your primary use case for Sisense?

I was looking into some of our business operations with tow truck companies. I focused on evaluating turnaround times for tow trucks to arrive on-site for accidents and how long it took them to cle...

See all answers

What is your experience regarding pricing and costs for Sisense?

There was no significant difference in pricing between Sisense and ThoughtSpot. They were practically dead even from a pricing perspective.

See all answers

Comparisons

Microsoft Power BI vs Databricks

Compared 9% of the time

Dataiku vs Databricks

Compared 8% of the time

Informatica PowerCenter vs Databricks

Compared 7% of the time

Dremio vs Databricks

Compared 5% of the time

Tableau Enterprise vs Databricks

Compared 4% of the time

More Databricks Competitors

Microsoft Power BI vs Sisense

Compared 23% of the time

Tableau Enterprise vs Sisense

Compared 18% of the time

Apache Superset vs Sisense

Compared 11% of the time

Qlik Sense vs Sisense

Compared 10% of the time

Looker vs Sisense

Compared 4% of the time

More Sisense Competitors

Product Reports

Buyer's Guide

Databricks

October 2025

Download Databricks product report

Buyer's Guide

Sisense

September 2025

Download Sisense product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

No data available

Overview

Databricks offers a scalable, versatile platform that integrates seamlessly with Spark and multiple languages, supporting data engineering, machine learning, and analytics in a unified environment.

Databricks stands out for its scalability, ease of use, and powerful integration with Spark, multiple languages, and leading cloud services like Azure and AWS. It provides tools such as the Notebook for collaboration, Delta Lake for efficient data management, and Unity Catalog for data governance. While enhancing data engineering and machine learning workflows, it faces challenges in visualization and third-party integration, with pricing and user interface navigation being common concerns. Despite needing improvements in connectivity and documentation, it remains popular for tasks like real-time processing and data pipeline management.

What features make Databricks unique?

Notebook: Enables collaborative work among team members.
Delta Lake: Optimizes data management operations.
Unity Catalog: Provides governance over data assets.
Cloud Integration: Seamlessly connects with major cloud platforms.

What benefits can users expect from Databricks?

Versatility: Supports diverse applications in data science and engineering.
Performance: Delivers efficient handling of large-scale analytics tasks.
Collaboration: Enhances teamwork in data projects.
Unified Environment: Centralizes machine learning and analytics activities.

In the tech industry, Databricks empowers teams to perform comprehensive data analytics, enabling them to conduct extensive ETL operations, run predictive modeling, and prepare data for SparkML. In retail, it supports real-time data processing and batch streaming, aiding in better decision-making. Enterprises across sectors leverage its capabilities for creating secure APIs and managing data lakes effectively.

Databricks

Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.

Sisense

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

Ebay, WIX, Wave Accounting, ESPN.com, Magellan Luxury Hotel, Paylogic, Sony, Merck, EDA, One Hour Translation, NASA, Plastic Jungle, Philips, Yahoo

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: October 2025.

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