

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.
Previously one to two hours were required to resolve major issues. Now it takes around ten to twenty minutes, representing approximately a sixty to seventy percent reduction in resolution time.
I have seen a return on investment with Coralogix, particularly in terms of time saved.
I see a return on investment in time saving.
The incidents have disappeared completely since I have been using Striim.
Striim's continuous pipeline safely processes millions of daily transactions without data loss; my organization had millions of transactions every day and even in real-time, so it was quite good.
Since it is now one to two hours, I would say it has saved employee hours and time.
I am satisfied with their response time and overall competence.
The support team has good technical knowledge and is able to understand log-related monitoring issues without much back and forth.
They are helpful, especially when we created several custom dashboards.
They are all knowledgeable about what they do.
When you contact them, they give you a response straight away and help you identify the issue and fix it.
The customer support has been excellent, and their engineers actually understand z/OS architecture and DB2 logs.
As our system usage and log volume increased, Coralogix was able to handle the growth without requiring any major changes from our side.
We have never faced any scalability issues.
Handling scaling with Coralogix is good, as it is easy to scale up or down as my needs change.
Our licensing was based on the number of cores, so even if we have a high number of events on any given day, our license cost would not go high.
I would describe the scalability of Striim as very good, as it adapts well.
Striim can handle the data volumes effectively, but it can struggle a little bit if the data volume is too high.
There are no downtimes, no crashes, or any performance issues that I've noticed since we started using it.
We use it continuously for monitoring and troubleshooting, and we have not faced any major stability issues that impacted our work significantly.
High CPU usage on one pod can be averaged out by others, concealing potential issues.
That problem has been completely resolved with Striim.
Striim was very stable.
In my experience, Striim is mostly stable.
Coralogix already provides strong capabilities for centralized logging and monitoring, but enhancing these areas would make it even more efficient for large-scale environments in our telecom servers.
We require some form of grouping or categorization of logs to identify them better.
Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions.
I believe if Striim could use some part of AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change.
They could improve the documentation by showing how to configure with different platforms.
I think Striim could be improved with better pricing and enhanced documentation.
Despite the expense, I believe it is worth the money to have Coralogix as a tool.
Currently, we are at a very minimal cost, which is around $400 per month since we have reduced our usage.
It is charged based on what we store.
Licensing was a bit more expensive because Striim has to read from Oracle GoldenGate trail files and also integrate them.
My experience with the pricing, implementation cost, and licensing of Striim is that it is somewhat expensive.
It's very fair.
I can monitor Kubernetes or Docker platforms as well, and I can integrate with the DevOps chain including Jenkins and all infrastructure code, Terraform, or Ansible.
Coralogix has positively impacted our organization by providing us with a clearer data flow, which allows us to analyze data better and find errors easier using the smart logs it offers.
Out of real-time analytics, cost-efficient storage, and AI-powered insights, the most valuable for my team has been the cost-efficient storage.
Striim is capable of absorbing a large number of transactions, and the difference between the two databases is always less than a second, which demonstrates efficiency.
There were significant improvements because once we enabled change data capture, the database was not going down at all.
It reduces manual intervention because it automatically syncs the data from the warehouse.
| Product | Mindshare (%) |
|---|---|
| Coralogix | 1.6% |
| Striim | 1.7% |
| Other | 96.7% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 7 |
| Large Enterprise | 11 |
Coralogix provides a robust platform for real-time logging and analysis, offering seamless integration with cloud services and DevOps tools to enhance visibility and error detection.
Coralogix is recognized for facilitating efficient log management through intuitive drill-down capabilities and AI-powered anomaly detection. Its platform supports smooth integration with multiple cloud providers and DevOps tools, focusing on ease of use and effective data migration. Users benefit from rich visualization options like dashboards and alerts that accelerate error detection and root cause analysis. Despite its strengths, there is a call for improvements in cost management, user-friendliness, and the expansion of AI features. Users are also requesting better customization, integrated modules, and support for processing large data volumes.
What are Coralogix's standout features?Industries utilize Coralogix for log monitoring and metrics analysis, aiding in debugging, error detection, and performance monitoring with tools like Grafana. Organizations manage cloud application logs, identify system failures, and conduct real-time root cause analysis. Coralogix supports secure data handling, enhancing infrastructure, and transaction management for efficient developer access and log analysis.
Striim offers a comprehensive platform for real-time data integration and streaming analytics, designed to streamline data processes for enterprise-level solutions.
Striim enables seamless migration and integration of data across cloud and on-premises environments, making it ideal for businesses looking to leverage real-time analytics. Its capabilities support continuous data flow, reducing latency and enhancing decision-making. Designed for scalable and secure data management, Striim facilitates effective data-driven strategies.
What are some key features of Striim?In industries like finance, Striim supports real-time fraud detection by providing uninterrupted data streaming between transaction systems. In healthcare, it enables rapid data processing for patient monitoring, improving service delivery. Manufacturing uses Striim to enhance supply chain visibility through real-time data analytics.
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