Amazon Kinesis vs Coralogix comparison

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Amazon Web Services (AWS) Logo
12,728 views|9,386 comparisons
90% willing to recommend
Coralogix Logo
46 views|37 comparisons
88% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon Kinesis and Coralogix 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 Amazon Kinesis vs. Coralogix Report (Updated: March 2024).
768,886 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Amazon Kinesis has improved our ROI.""Kinesis is a fully managed program streaming application. You can manage any infrastructure. It is also scalable. Kinesis can handle any amount of data streaming and process data from hundreds, thousands of processes in every source with very low latency.""Everything is hosted and simple.""What I like about Amazon Kinesis is that it's very effective for small businesses. It's a well-managed solution with excellent reporting. Amazon Kinesis is also easy to use, and even a novice developer can work with it, versus Apache Kafka, which requires expertise.""What turns out to be most valuable is its integration with Lambda functions because you can process the data as it comes in. As soon as data comes, you'll fire a Lambda function to process a trench of data.""The most valuable feature is that it has a pretty robust way of capturing things.""Setting Amazon Kinesis up is quick and easy; it only takes a few minutes to configure the necessary settings and start using it.""I find almost all features valuable, especially the timing and fast pace movement."

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"The solution offers very good convenience filtering.""Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams.""A non-tech person can easily get used to it.""The solution is easy to use and to start with.""The initial setup is straightforward.""The best feature of this solution allows us to correlate logs, metrics and traces."

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Cons
"Snapshot from the the from the the stream of the data analytic I have already on the cloud, do a snapshot to not to make great or to get the data out size of the web service. But to stop the process and restart a few weeks later when I have more data or more available of the client teams.""Amazon Kinesis should improve its limits.""Something else to mention is that we use Kinesis with Lambda a lot and the fact that you can only connect one Stream to one Lambda, I find is a limiting factor. I would definitely recommend to remove that constraint.""The solution has a two-minute maximum time delay for live streaming, which could be reduced.""Could include features that make it easier to scale.""The services which are described in the documentation could use some visual presentation because for someone who is new to the solution the documentation is not easy to follow or beginner friendly and can leave a person feeling helpless.""Lacks first in, first out queuing.""In general, the pain point for us was that once the data gets into Kinesis there is no way for us to understand what's happening because Kinesis divides everything into shards. So if we wanted to understand what's happening with a particular shard, whether it is published or not, we could not. Even with the logs, if we want to have some kind of logging it is in the shard."

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"It would be helpful if Coralogix could integrate the main modules that any organization requires into a single subscription.""The documentation of the tool could be improved""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.""From my experience, Coralogix has horrible Terraform providers.""The user interface could be more intuitive and explanatory.""Maybe they could make it more user-friendly."

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Pricing and Cost Advice
  • "Under $1,000 per month."
  • "The solution's pricing is fair."
  • "It was actually a fairly high volume we were spending. We were spending about 150 a month."
  • "The fee is based on the number of hours the service is running."
  • "Amazon Kinesis pricing is sometimes reasonable and sometimes could be better, depending on the planning, so it's a five out of ten for me."
  • "In general, cloud services are very convenient to use, even if we have to pay a bit more, as we know what we are paying for and can focus on other tasks."
  • "The tool's entry price is cheap. However, pricing increases with data volume."
  • "The product falls on a bit of an expensive side."
  • More Amazon Kinesis Pricing and Cost Advice →

  • "We are paying roughly $5,000 a month."
  • "The cost of the solution is per volume of data ingested."
  • "The platform has a reasonable cost. I rate the pricing a three out of ten."
  • More Coralogix Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The solution's technical support is flawless.
    Top Answer:There are certain shortcomings in the machine learning capacity offered by the product, making it an area where improvements are required. There is a need to introduce something more into the machine… more »
    Top Answer:The solution is easy to use and to start with.
    Top Answer:The pricing depends on our requirements. If you're going to use the bare minimum, then the pricing is quite cheap and is a good start for many companies. However, if you're going to do it full-scale… more »
    Top Answer:The user interface could be more intuitive and explanatory. Additionally, more advanced functionalities can be included in the next release.
    Ranking
    2nd
    out of 38 in Streaming Analytics
    Views
    12,728
    Comparisons
    9,386
    Reviews
    8
    Average Words per Review
    562
    Rating
    7.9
    11th
    out of 38 in Streaming Analytics
    Views
    46
    Comparisons
    37
    Reviews
    5
    Average Words per Review
    566
    Rating
    8.0
    Comparisons
    Datadog logo
    Compared 36% of the time.
    Grafana logo
    Compared 20% of the time.
    Sentry logo
    Compared 9% of the time.
    New Relic logo
    Compared 8% of the time.
    Elastic Search logo
    Compared 6% of the time.
    Also Known As
    Amazon AWS Kinesis, AWS Kinesis, Kinesis
    Learn More
    Overview

    Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.

    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
    Zillow, Netflix, Sonos
    Payoneer, AGS, Monday.com, Capgemini
    Top Industries
    REVIEWERS
    Computer Software Company29%
    Media Company29%
    Transportation Company14%
    Non Tech Company14%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm17%
    Manufacturing Company8%
    Comms Service Provider5%
    REVIEWERS
    Financial Services Firm29%
    Manufacturing Company14%
    Computer Software Company14%
    Transportation Company14%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm12%
    Healthcare Company6%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business36%
    Midsize Enterprise36%
    Large Enterprise27%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise67%
    REVIEWERS
    Small Business67%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business30%
    Midsize Enterprise12%
    Large Enterprise57%
    Buyer's Guide
    Amazon Kinesis vs. Coralogix
    March 2024
    Find out what your peers are saying about Amazon Kinesis vs. Coralogix and other solutions. Updated: March 2024.
    768,886 professionals have used our research since 2012.

    Amazon Kinesis is ranked 2nd in Streaming Analytics with 21 reviews while Coralogix is ranked 11th in Streaming Analytics with 7 reviews. Amazon Kinesis is rated 8.0, while Coralogix is rated 8.4. The top reviewer of Amazon Kinesis writes "Used for media streaming and live-streaming data". On the other hand, the top reviewer of Coralogix writes "Good capabilities, has a helpful interface and is straightforward to set up". Amazon Kinesis is most compared with Azure Stream Analytics, Apache Flink, Amazon MSK, Confluent and Google Cloud Dataflow, whereas Coralogix is most compared with Datadog, Grafana, Sentry, New Relic and Elastic Search. See our Amazon Kinesis vs. Coralogix report.

    See our list of best Streaming Analytics vendors.

    We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.