Apache Spark Streaming vs Coralogix comparison

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Apache Spark Streaming

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Executive SummaryUpdated on Dec 17, 2024

Coralogix and Apache Spark Streaming compete in data streaming solutions, with Apache Spark Streaming often having the upper hand due to its advanced features supporting comprehensive data processing needs.

Features: Coralogix offers powerful real-time analytics, seamless integration with various data sources, and valuable insights delivery. Apache Spark Streaming provides distributed data processing, sophisticated machine learning capabilities, and efficient large-scale data handling. The main distinction is its ability to manage extensive data processing more effectively than Coralogix.

Room for Improvement: Coralogix could enhance its data processing capabilities for more complex workflows and improve its machine learning feature set. It might benefit from enhanced scalability options. Apache Spark Streaming could streamline its deployment process, simplify its configuration needs, and make its interface more user-friendly.

Ease of Deployment and Customer Service: Coralogix features a straightforward deployment, with minimal technical overhead and responsive customer service assisting users throughout setup. Apache Spark Streaming requires more technical expertise due to its complex architecture, which can be challenging, but it offers robust community support and extensive resources.

Pricing and ROI: Coralogix provides a cost-effective solution for businesses focused on minimizing upfront expenses, delivering real-time insights for maximum ROI. Apache Spark Streaming presents higher initial costs linked to its comprehensive features. Despite these costs, it provides substantial long-term ROI through its advanced data processing strengths.

To learn more, read our detailed Apache Spark Streaming vs. Coralogix Report (Updated: June 2025).

Apache Spark Streaming vs. Coralogix

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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

Apache Spark Streaming

Ranking in Streaming Analytics

10th

Average Rating

8.0

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Coralogix

Ranking in Streaming Analytics

12th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (20th), Log Management (19th), Security Information and Event Management (SIEM) (22nd), API Management (16th), Anomaly Detection Tools (1st)

Mindshare comparison

As of June 2025, in the Streaming Analytics category, the mindshare of Apache Spark Streaming is 2.7%, down from 3.8% compared to the previous year. The mindshare of Coralogix is 0.2%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

Oscar Estorach

Chief Data-strategist and Director at Theworkshop.es

Versatile and flexible when dealing with large-scale data streams

What I like about Spark is its versatility in supporting multiple languages and that makes it my preferred choice for building scalable and efficient systems, whether it is hooking databases with web applications or handling large-scale data transformations. Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows. It works well in the cloud, and you can structure data using Databricks or Spark, providing flexibility for different projects. Spark Streaming's flexibility shines when dealing with large-scale data streams. It caters to different needs, offering real-time insights for tasks like online sales analytics. The ability to prioritize data streams is valuable, especially for monitoring competitor prices online.

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reviewer1915599

VP of Engineering at a financial services firm with 51-200 employees

Good capabilities, has a helpful interface and is straightforward to set up

We have asked for a couple of features from the company already. What typically happens is a lot of people - and developers are one of the biggest consumers of this product - go to this product to optimize their investigation process and specific configurations. That increases our data flow at times, so the cost changes. And a lot of changes happen due to that. We have asked the company to auto-revert the changes after a while so that the system works typically. We want it to work at what it is expected to work at and not really based on the updated configuration which one developer has decided to change.

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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

"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."

"Apache Spark Streaming's most valuable feature is near real-time analytics. The developers can build APIs easily for a code-steaming pipeline. The solutions have an ecosystem of integration with other stock services."

"Spark Streaming is critical, quite stable, full-featured, and scalable."

"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."

"The solution is very stable and reliable."

"It's the fastest solution on the market with low latency data on data transformations."

"As an open-source solution, using it is basically free."

More Apache Spark Streaming pros

"The initial setup is straightforward."

"The overall stability and reliability of Coralogix are excellent, and I rarely encounter issues."

"Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams."

"For now, we have not experienced any stability issues."

"The solution offers very good convenience filtering."

"The most valuable feature of Coralogix is that it is a very good vendor for metrics."

"The best feature of this solution allows us to correlate logs, metrics and traces."

"The log monitoring is good, and the dashboards that we create are beneficial."

More Coralogix pros

Cons

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

"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."

"There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused."

"In terms of improvement, the UI could be better."

"The solution itself could be easier to use."

"The cost and load-related optimizations are areas where the tool lacks and needs improvement."

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

"Integrating event-level streaming capabilities could be beneficial."

More Apache Spark Streaming cons

"The user interface could be more intuitive and explanatory."

"We want it to work at what it is expected to work at and not really based on the updated configuration which one developer has decided to change."

"The customizable dashboards haven't really helped with my company's efficiency at all, and I think there's room for improvement."

"It would be helpful if Coralogix could integrate the main modules that any organization requires into a single subscription."

"The features we were missing in the past were related to the way we see our metrics and aggregate our data."

"Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions. The increasing volume of data and the resulting bandwidth charges are concerns."

"From my experience, Coralogix has horrible Terraform providers."

"Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions."

More Coralogix cons

Pricing and Cost Advice

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

"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."

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

"The cost of the solution is per volume of data ingested."

"Currently, we are at a very minimal cost, which is around $400 per month since we have reduced our usage. Initially, we were at $900 per month."

"The platform has a reasonable cost. I rate the pricing a three out of ten."

"We are paying roughly $5,000 a month."

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Top Industries

By visitors reading reviews

Financial Services Firm

26%

Computer Software Company

21%

Manufacturing Company

University

Computer Software Company

13%

Financial Services Firm

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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.

What needs improvement with Apache Spark Streaming?

We don't have enough experience to be judgmental about its flaws, as we've only used stable features like batch micro-batch. Integration poses no problem; however, I don't use some features and can...

What is your primary use case for Apache Spark Streaming?

We use Spark Streaming in a micro-batch region. It's not a full real-time system, but it offers high performance and low latency.

What do you like most about Coralogix?

Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams.

What is your experience regarding pricing and costs for Coralogix?

The pricing is expensive. We need to reduce logs to manage costs. Despite the expense, I believe it is worth the money to have Coralogix as a tool.

What needs improvement with Coralogix?

Change might not be the correct word, but with every service, there is always room to improve. They are improving their services daily and deploy new features. When we had missing features that we ...

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Product Reports

Streaming Analytics

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Also Known As

Spark Streaming

No data available

Overview

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

Apache

Coralogix is a stateful streaming data platform that provides real-time insights and long-term trend analysis with no reliance on storage or indexing, solving the monitoring challenges of data growth in large-scale systems.

Ingest log, metric, and security data from any source for a single, centralized platform to monitor and alert on your applications. As data is ingested, Coralogix instantly narrows millions of events down to common patterns for deeper insights and faster troubleshooting. Proactive data storage optimization enables up to 70% savings on monitoring costs with better performance.

Sample Customers

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

Payoneer, AGS, Monday.com, Capgemini

Apache Spark Streaming vs. Coralogix