Aiven Platform vs Databricks comparison

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Aiven Platform

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Executive Summary

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

Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Aiven Platform vs. Databricks Report (Updated: July 2025).

Aiven Platform vs. Databricks

July 2025

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Helped 865,384 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:

Categories and Ranking

Aiven Platform

Ranking in Streaming Analytics

14th

Average Rating

8.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Databricks

Ranking in Streaming Analytics

1st

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (8th), Data Science Platforms (1st)

Mindshare comparison

As of August 2025, in the Streaming Analytics category, the mindshare of Aiven Platform is 1.7%, up from 1.3% compared to the previous year. The mindshare of Databricks is 13.5%, up from 11.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

njadm

CTO and Co-Founder at PeerSpot

Seamlessly handle database upgrades and minimize downtime disruptions

One of the most valuable features of Aiven Platform is that it handles the upgrades for us seamlessly, saving us time that would be spent on routine upgrades. It also provides reliable backups. The ability to minimize disruption during upgrades is very important since any database downtime would mean system-wide disruptions.

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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.

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Quotes from Members

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

Pros

"What I like best about the tool is that the process for the services is faster compared to other methods. It's easier to use because Aiven for Apache Kafka handles the maintenance, so we have less to manage. We only use Kafka to manage its connectivity."

"One of the most valuable features of Aiven Platform is that it handles the upgrades for us seamlessly, saving us time that would be spent on routine upgrades."

"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."

"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."

"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."

"The notebooks and the ability to share them with collaborators are valuable, as multiple developers can use a single cluster."

"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."

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

"We have the ability to scale, collaborate and do machine learning."

"The main features of the solution are efficiency."

More Databricks pros

Cons

"I would really like to see Aiven Platform add a user interface for database backups, as this would eliminate the need for a third-party solution."

"One challenge we face is when we want to update the version, for example, from 3.6 to 3.7. It will spawn new nodes, and then there's rebalancing and syncing from other brokers. There's high CPU usage during this process, so the solution can't be used for a while, causing some downtime in our services. To tackle this challenge, we schedule maintenance updates during low-traffic periods when there's less risk and fewer users use the services."

"Doesn't provide a lot of credits or trial options."

"The integration of data could be a bit better."

"Databricks' technical support takes a while to respond and could be improved."

"I have seen better user interfaces, so that is something that can be improved."

"It would be very helpful if Databricks could integrate with platforms in addition to Azure."

"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."

"Databricks can improve by making the documentation better."

"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."

More Databricks cons

Pricing and Cost Advice

Information not available

"I'm not involved in the financing, but I can say that the solution seemed reasonably priced compared to the competitors. Similar products are usually in the same price range. With five being affordable and one being expensive, I would rate Databricks a four out of five."

"The product pricing is moderate."

"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."

"It is an expensive tool. The licensing model is a pay-as-you-go one."

"The solution is based on a licensing model."

"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."

"The cost for Databricks depends on the use case. I work on it as a consultant, so I'm using the client's Databricks, so it depends on how big the client is."

"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."

More Databricks pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

19%

Financial Services Firm

17%

Real Estate/Law Firm

Hospitality Company

Financial Services Firm

17%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What needs improvement with Aiven for Apache Kafka?

I would really like to see Aiven Platform add a user interface for database backups, as this would eliminate the need for a third-party solution. Additionally, the customer service could be more re...

What is your primary use case for Aiven for Apache Kafka?

Our primary use case is having our PostgreSQL and MySQL databases hosted by Aiven Platform. They serve as our production databases.

What advice do you have for others considering Aiven for Apache Kafka?

In our experience, we encountered issues with Aiven Platform's connection to Redis. It was not smooth, and though we like the solution overall, we are hesitant about using Redis integration again. ...

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 ...

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...

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...

Confluent vs Aiven Platform

Comparisons

Compared 39% of the time

Azure Stream Analytics vs Aiven Platform

Compared 24% of the time

Amazon MSK vs Aiven Platform

Compared 17% of the time

Apache Spark Streaming vs Aiven Platform

Compared 12% of the time

Talend Data Streams vs Aiven Platform

Compared 9% of the time

More Aiven Platform Competitors

Dataiku vs Databricks

Compared 10% of the time

Microsoft Power BI vs Databricks

Compared 9% of the time

Informatica PowerCenter vs Databricks

Compared 7% of the time

Dremio vs Databricks

Compared 6% of the time

Tableau Enterprise vs Databricks

Compared 5% of the time

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Product Reports

Download Aiven Platform product report

Streaming Analytics

August 2025

Download Databricks product report

August 2025

Also Known As

No data available

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

Overview

Aiven for Apache Kafka is a robust data streaming platform utilized for real-time analytics, event-driven architectures, and message brokering, enhancing data processing across systems. It features scalable operations, excellent data replication, and comprehensive monitoring, significantly improving organizational efficiency and decision-making processes through high-level data management capabilities.

Aiven

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Sample Customers

Information Not Available

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