Coralogix vs Weka comparison

Coralogix and Weka are both solutions in the Anomaly Detection Tools category. Coralogix is ranked #1 with an average rating of 8.0, while Weka is ranked #4 with an average rating of 8.0. Additionally, 90% of Coralogix users are willing to recommend the solution, compared to 78% of Weka users who would recommend it.

Coralogix

Read 9 Coralogix reviews

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90% willing to recommend

Weka

Read 14 Weka reviews

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0 Comparison Views

78% willing to recommend

Coralogix

Weka

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Executive SummaryUpdated on Apr 6, 2025

Weka and Coralogix present competitive offerings in data management and analytics, each with distinct strengths. Based on data comparisons, Weka leads in support and pricing, whereas Coralogix is noted for its exceptional features.

Features: Weka is recognized for high-performance analytics, seamless integration, and scalable storage infrastructure. It supports a range of algorithms and provides flexible interfaces for various applications. Coralogix excels in real-time monitoring, log analytics, and refined alert mechanisms, catering to immediate data needs with advanced querying capabilities.

Room for Improvement: Weka could enhance visualization capabilities and simplify user interfaces for broader adoption. Advanced support for complex data analytics would benefit its offerings. Coralogix might improve by expanding integration options beyond the current log analytics framework. Enhancing user instructions for advanced features and optimizing pricing for broader access could also prove beneficial.

Ease of Deployment and Customer Service: Weka offers straightforward deployment with extensive support, facilitating quick integration into existing systems. Users appreciate its swift setup process and consistent support services. Coralogix's cloud-native model simplifies deployment, ensuring seamless integration with responsive customer service that assists in adapting the solution effectively.

Pricing and ROI: Weka is attractive for budget-conscious users with competitive initial pricing and an ROI driven by efficient storage capabilities. Coralogix incurs a higher upfront cost but compensates with long-term value from its robust analytics and monitoring features, appealing to those seeking comprehensive data insights.

To learn more, read our detailed Coralogix vs. Weka Report (Updated: April 2025).

Buyer's Guide

Coralogix vs. Weka

April 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 Anomaly Detection Tools

1st

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (33rd), Log Management (39th), Security Information and Event Management (SIEM) (42nd), API Management (29th), Streaming Analytics (19th)

Weka

Ranking in Anomaly Detection Tools

4th

Average Rating

7.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Mining (2nd)

Featured Reviews

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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AwaisAnwar

Treasury Management in Finance Department at National University of Pakistan

Open source, good for basic data mining use cases except for the visualization results

I haven't found it particularly useful. It lacks state-of-the-art algorithms and impressive outcomes. While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results. Moreover, a new user interface would be great, especially for beginners. Something that guides them through the available tools and helps them achieve their goals. I haven't seen anything like that myself, though maybe it's there and I missed it.

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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

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

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

"Coralogix scales well, and I will rate it nine out of ten."

"The solution offers very good convenience filtering."

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

"The initial setup is straightforward."

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

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

More Coralogix pros

"It is a stable product."

"The interface is very good, and the algorithms are the very best."

"The path of machine learning in classification and clustering is useful. The GUI can get you results. No programming is needed. No need to write down your script first or send to your model or input your data."

"I like the machine algorithm for clustering systems. Weka has larger capabilities. There are multiple algorithms that can be used for clustering. It depends upon the user requirements. For clustering, I've used DBSCAN, whereas for supervised learning, I've used AVM and RFT."

"Working with complicated algorithms in huge datasets is really easy in Weka."

"Weka is a very nice tool, it needs very small requirements. If I want to implement something in Python, I need a lot of memory and space but Weka is very lightweight. Anyone can implement any kind of algorithm, and we can show the results immediately to the client using the one-page feature. The client always wants to know the story. They want the result."

"With clustering, if it's a yes, it's a yes, if it's a no, it's a no. It gives you a 100% level of accuracy of a model that has been trained, and that is in most cases, usually misleading. Classification is highly valuable when done as opposed to clustering."

"There are many options where you can fill all of the data pre-processing options that you can implement when you're importing the data. You can also normalize the data and standardize it in an easier way."

More Weka pros

Cons

"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."

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

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

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

"The documentation of the tool could be improved"

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

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

More Coralogix cons

"The product is good, but I would like it to work with big data. I know it has a Spark integration they could use to do analysis in clusters, but it's not so clear how to use it."

"Weka could be more stable."

"I believe is there are a few newer algorithms that are not present in the Weka libraries. Whereas, for example, if I want to have a solution that involves deep learning, so I don't think that Weka has that capability. So in that case I have to use Python for ... predict any algorithms based on deep learning."

"A few people said it became slow after a while."

"Within the basic Weka tool, I don't see many tools that are available where we can analyze and visualize the data that well."

"If you have one missing value in your dataset and this missing value belongs to a specific attribute and the attribute is a numeric attribute and there is only one missing data, whenever you import this data, the problem is that Weka cannot understand that this is a numeric field. It converts everything into a string, and there is no way to convert the string into numerical math. It's really very complicated."

"The filter section lacks some specific transformation tools. If you want to change a variable from a numeric variable to a categorical variable, you don't have a feature that can enable you to change a variable from a numeric variable to a categorical variable."

"In terms of scalability, I think Weka is not prepared to handle a large number of users."

More Weka cons

Pricing and Cost Advice

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

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

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

"The solution is free and open-source."

"We use the free version now. My faculty is very small."

"As far as I know, Weka is a freeware tool, and I am not aware if they have an online solution or if it is a commercial product."

"Currently, I am using an open-source version so I don't know much about the price of this solution."

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Top Industries

By visitors reading reviews

Computer Software Company

14%

Financial Services Firm

10%

Manufacturing Company

Healthcare Company

University

19%

Educational Organization

15%

Computer Software Company

11%

Financial Services Firm

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.

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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?

We need to reduce the number of logs generated by our system, which are substantial. We require some form of grouping or categorization of logs to identify them better. Additionally, we find that t...

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What do you like most about Weka?

It is a stable product.

See all answers

What is your experience regarding pricing and costs for Weka?

Weka is free and open-source software. That is why I used it over KNIME.

See all answers

What needs improvement with Weka?

See all answers

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Product Reports

Buyer's Guide

Coralogix

April 2025

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Buyer's Guide

Weka

April 2025

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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

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Weka

Sample Customers

Payoneer, AGS, Monday.com, Capgemini

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Buyer's Guide

Coralogix vs. Weka

April 2025

Free Report: Coralogix vs. Weka

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