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Coralogix vs Google Cloud Dataflow comparison

Coralogix and Google are both solutions in the Streaming Analytics category. Coralogix is ranked #13 with an average rating of 8.2, while Google is ranked #7 with an average rating of 8.1. Coralogix holds a 0.4% mindshare in SA, compared to Google’s 6.0% mindshare. Additionally, 92% of Coralogix users are willing to recommend the solution, compared to 93% of Google users who would recommend it.

Coralogix

Read 11 Coralogix reviews

2,603 Views
52 Comparison Views

92% willing to recommend

Google Cloud Dataflow

Read 14 Google Cloud Dataflow reviews

2,880 Views
2,390 Comparison Views

93% willing to recommend

Coralogix

Google Cloud Dataflow

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 17, 2024

Google Cloud Dataflow and Coralogix compete in the data management ecosystem, focusing on real-time data processing and log analytics, respectively. Dataflow holds the upper hand due to its scalability and pricing advantages, while Coralogix offers feature adaptability.

Features: Google Cloud Dataflow provides robust real-time data processing, excellent integration with Google Cloud services, and efficient batch and stream pipeline management. Coralogix offers comprehensive log analytics, seamless integration capabilities, and extensive alerting functionality.

Room for Improvement: Google Cloud Dataflow could enhance logging configuration complexity, expand its support for non-Google ecosystems, and offer more cost transparency. Coralogix may improve by simplifying deployment, reducing perceived pricing for smaller use cases, and enhancing initial setup documentation.

Ease of Deployment and Customer Service: Google Cloud Dataflow benefits from straightforward deployment and extensive documentation support, facilitating setup within Google's infrastructure. Coralogix provides ease of integration with personalized customer service, though deployment requires understanding complex logging configurations.

Pricing and ROI: Google Cloud Dataflow presents competitive pricing aligned with Google’s ecosystem, demonstrating significant ROI in large-scale tasks. Coralogix's pricing reflects its comprehensive logging features but can seem high for smaller implementations, though it delivers high ROI through versatile analytics.

To learn more, read our detailed Coralogix vs. Google Cloud Dataflow Report (Updated: July 2025).

Buyer's Guide

Coralogix vs. Google Cloud Dataflow

July 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

Coralogix

Ranking in Streaming Analytics

13th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (22nd), Log Management (21st), Security Information and Event Management (SIEM) (23rd), API Management (16th), Anomaly Detection Tools (1st)

Google Cloud Dataflow

Ranking in Streaming Analytics

7th

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Streaming Analytics category, the mindshare of Coralogix is 0.4%, up from 0.1% compared to the previous year. The mindshare of Google Cloud Dataflow is 6.0%, down from 7.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

Jorge Florez

Head SRE Latam at PayU

SaaS platform used by developers to store and conveniently search for logs

If a company has the budget and the log service is critical for them, I would say use Coralogix. It is a very good service for that. I would rate Coralogix an eight out of ten. It is an excellent service for storing logs for a long time. The capacity is unlimited for unindexed logs. The cost model is also very efficient because you pay for the ingested data per month. This can be compared to a solution like New Relic where you have to pay it upfront and cannot limit the data ingestion. Coralogix provides an easy way to search for logs and to visualize them. This a great feature because developers are constantly looking for or browsing logs.

Read full review

Jana Polianskaja

Data Engineer at Accenture

Build Scalable Data Pipelines with Apache Beam and Google Cloud Dataflow

As a data engineer, I find several features of Google Cloud Dataflow particularly valuable. The ability to test solutions locally using Direct Runner is crucial for development, allowing me to validate pipelines without incurring the costs of full Dataflow jobs. The unified programming model for both batch and streaming processing is exceptional - requiring only minor code adjustments to optimize for either mode. This flexibility extends to language support, with robust implementations in both Java and Python, allowing teams to leverage their existing expertise. The platform's comprehensive monitoring capabilities are another standout feature. The intuitive interface, Grafana integration, and extensive service connectivity make troubleshooting and performance tracking highly efficient. Furthermore, seamless integration with Google Cloud Composer (managed Airflow) enables sophisticated orchestration of data pipelines.

Read full review

Quotes from Members

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

Pros

"The solution offers very good convenience filtering."

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

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

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

"A non-tech person can easily get used to it."

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

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

"The solution is easy to use and to start with."

More Coralogix pros

"I would rate the overall solution a ten out of ten."

"Google Cloud Dataflow is useful for streaming and data pipelines."

"The support team is good and it's easy to use."

"Google's support team is good at resolving issues, especially with large data."

"I don't need a server running all the time while using the tool. It is also easy to setup. The product offers a pay-as-you-go service."

"The solution allows us to program in any language we desire."

"The most valuable features of Google Cloud Dataflow are scalability and connectivity."

"The product's installation process is easy...The tool's maintenance part is somewhat easy."

More Google Cloud Dataflow pros

Cons

"The documentation of the tool could be improved"

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

"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."

"The user interface is not intuitive, especially when first onboarding, and improvements could be made here."

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

"Maybe they could make it more user-friendly."

"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."

More Coralogix cons

"Occasionally, dealing with a huge volume of data causes failure due to array size."

"They should do a market survey and then make improvements."

"I would like Google Cloud Dataflow to be integrated with IT data flow and other related services to make it easier to use as it is a complex tool."

"The authentication part of the product is an area of concern where improvements are required."

"The system could function in an automated fashion and provide suggestions based on past transactions to achieve better scalability."

"When I deploy the product in local errors, a lot of errors pop up which are not always caught. The solution's error logging is bad. It can take a lot of time to debug the errors. It needs to have better logs."

"Promoting the technology more broadly would help increase its adoption."

"The deployment time could also be reduced."

More Google Cloud Dataflow cons

Pricing and Cost Advice

"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."

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

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

"The solution is cost-effective."

"Google Cloud is slightly cheaper than AWS."

"The tool is cheap."

"The solution is not very expensive."

"The price of the solution depends on many factors, such as how they pay for tools in the company and its size."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a seven to eight out of ten."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Google Cloud Dataflow's pricing a four out of ten."

"Google Cloud Dataflow is a cheap solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Financial Services Firm

17%

Manufacturing Company

12%

Retailer

11%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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.

See all answers

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.

See all answers

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 ...

See all answers

What do you like most about Google Cloud Dataflow?

The product's installation process is easy...The tool's maintenance part is somewhat easy.

See all answers

What is your experience regarding pricing and costs for Google Cloud Dataflow?

Pricing is normal. It is part of a package received from Google, and they are not charging us too high.

See all answers

What needs improvement with Google Cloud Dataflow?

I am not sure, as we built only one job, and it is running on a daily basis. Everything else is managed using BigQuery schedulers and Talend. However, occasionally, dealing with a huge volume of da...

See all answers

Comparisons

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Compared 25% of the time

New Relic vs Coralogix

Compared 10% of the time

Grafana vs Coralogix

Compared 9% of the time

Elastic Search vs Coralogix

Compared 7% of the time

Sentry vs Coralogix

Compared 6% of the time

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Compared 33% of the time

Apache Flink vs Google Cloud Dataflow

Compared 19% of the time

Apache NiFi vs Google Cloud Dataflow

Compared 12% of the time

Amazon MSK vs Google Cloud Dataflow

Compared 8% of the time

Spring Cloud Data Flow vs Google Cloud Dataflow

Compared 7% of the time

More Google Cloud Dataflow Competitors

Product Reports

Buyer's Guide

Coralogix

August 2025

Download Coralogix product report

Buyer's Guide

Google Cloud Dataflow

August 2025

Download Google Cloud Dataflow product report

Also Known As

No data available

Google Dataflow

Overview

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.

Coralogix

Google Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.

Google

Sample Customers

Payoneer, AGS, Monday.com, Capgemini

Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale

Buyer's Guide

Coralogix vs. Google Cloud Dataflow

July 2025

Free Report: Coralogix vs. Google Cloud Dataflow

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