Aiven Platform vs Apache Spark Streaming comparison

Aiven and Apache are both solutions in the Streaming Analytics category. Aiven is ranked #15 with an average rating of 8.5, while Apache is ranked #7 with an average rating of 7.9. Aiven holds a 1.7% mindshare in SA, compared to Apache’s 3.6% mindshare. Additionally, 100% of Aiven users are willing to recommend the solution, compared to 94% of Apache users who would recommend it.

Aiven Platform

Read 2 Aiven Platform reviews

899 Views
845 Comparison Views

100% willing to recommend

Apache Spark Streaming

Read 17 Apache Spark Streaming reviews

1,291 Views
1,291 Comparison Views

94% willing to recommend

Aiven Platform

Apache Spark Streaming

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Aiven Platform and Apache Spark Streaming 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. Apache Spark Streaming Report (Updated: September 2025).

Buyer's Guide

Aiven Platform vs. Apache Spark Streaming

September 2025

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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

15th

Average Rating

8.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Apache Spark Streaming

Ranking in Streaming Analytics

7th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 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 Apache Spark Streaming is 3.6%, up from 3.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Market Share Distribution
Product	Market Share (%)
Apache Spark Streaming	3.6%
Aiven Platform	1.7%
Other	94.7%

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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Himansu Jena

Sr Project Manager at Raj Subhatech

Efficient real-time data management and analysis with advanced features

There are various ways we can improve Apache Spark Streaming through best practices. The initial part requires attention to batch interval tuning, which helps small intervals in micro batches based on latency requirements and helps prevent back pressure. We can use data formats such as Parquet or ORC for storage that needs faster reads and leveraging feature predicate push-down optimizations. We can implement serialization which helps with any Kyro in terms of .NET or Java. We have boxing and unboxing serialization for XML and JSON for converting key-pair values stored in browser. We can also implement caching mechanisms for storing and recomputing multiple operations. We can use specified joins which help with smaller databases, and distributed joins can minimize users. We can implement project optimization memory for CPU efficiency, known as Tungsten. Additionally, load balancing, checkpointing, and schema evaluation are areas to consider based on performance and bottlenecks. We can use Bugzilla tools for tracking and Splunk to monitor the performance of process systems, utilization, and performance based on data frames or data sets.

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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."

"Apache Spark Streaming was straightforward in terms of maintenance. It was actively developed, and migrating from an older to a newer version was quite simple."

"Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows."

"With Apache Spark Streaming's integration with Anaconda and Miniconda with Python, I interact with databases using data frames or data sets in micro versions and create solutions based on business expectations for decision-making, logistic regression, linear regression, or machine learning which provides image or voice record and graphical data for improved accuracy."

"Apache Spark Streaming has features like checkpointing and Streaming API that are useful."

"Apache Spark's capabilities for machine learning are quite extensive and can be used in a low-code way."

"The platform’s most valuable feature for processing real-time data is its ability to handle continuous data streams."

"The main benefits of Apache Spark Streaming include cost savings, time savings, and efficiency improvements about data storage."

More Apache Spark Streaming 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."

"One improvement I would expect is real-time processing instead of micro-batch or near real-time."

"The service structure of Apache Spark Streaming can improve. There are a lot of issues with memory management and latency. There is no real-time analytics. We recommend it for the use cases where there is a five-second latency, but not for a millisecond, an IOT-based, or the detection anomaly-based. Flink as a service is much better."

"The solution itself could be easier to use."

"When dealing with various data types including COBOL, Excel, JSON, video, audio, and MPG files, challenges can arise with incomplete or missing values."

"It was resource-intensive, even for small-scale applications."

"We don't have enough experience to be judgmental about its flaws."

"One improvement I would expect is real-time processing instead of micro-batch or near real-time."

"The problem is we need to use it in a certain manner. After that, we need to apply another pipeline for the machine learning processes, and that's what we work on."

More Apache Spark Streaming cons

Pricing and Cost Advice

Information not available

"Spark is an affordable solution, especially considering its open-source nature."

"I was using the open-source community version, which was self-hosted."

"People pay for Apache Spark Streaming as a service."

"On a scale from one to ten, where one is expensive, or not cost-effective, and ten is cheap, I rate the price a seven."

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Top Industries

By visitors reading reviews

Computer Software Company

22%

Financial Services Firm

18%

Construction Company

Media Company

Computer Software Company

23%

Financial Services Firm

21%

Healthcare Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	7

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...

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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.

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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. ...

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What do you like most about Apache Spark Streaming?

Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows.

See all answers

What needs improvement with Apache Spark Streaming?

One of the improvements we need is in Spark SQL and the machine learning library. I don't think there is too much to work on, but the issue is when we want to use machine learning, we always need t...

See all answers

What is your primary use case for Apache Spark Streaming?

We work with Apache Spark Streaming for our project because we use that as one of the landing data sources, and we work with it to ensure we can get all of the data before it goes through our data ...

See all answers

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Product Reports

Buyer's Guide

Streaming Analytics

October 2025

Download Aiven Platform product report

Buyer's Guide

Apache Spark Streaming

October 2025

Download Apache Spark Streaming product report

Also Known As

No data available

Spark Streaming

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

Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.

Apache

Sample Customers

Information Not Available

UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, eBay Inc.

Buyer's Guide

Aiven Platform vs. Apache Spark Streaming

September 2025

Free Report: Aiven Platform vs. Apache Spark Streaming

Find out what your peers are saying about Aiven Platform vs. Apache Spark Streaming and other solutions. Updated: September 2025.

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