Elastic Cloud vs Coralogix: Support, Pricing, Features & More

With various open source platforms on the market, engineers have to make smart and cost-effective choices for their teams in order to scale. Elastic Cloud, and its flagship product Elasticsearch, are one of several options available, but how do they compare to a full-stack observability platform like Coralogix?

This article will provide a complete breakdown between Coralogix and Elastic Cloud, from essential industry features, like logs, metrics and traces, to pricing models and support services. When it comes to ensuring observability for modern systems, you need to know which platform suits your data needs.  

SaaS vs PaaS

Elastic Cloud is a Platform-as-a-Service (PaaS) solution that provides customers a cloud platform which they oversee themselves. 

Coralogix, on the other hand, is a fully managed SaaS solution that allows DevOp teams all the tools they need for better data management and software development. Coralogix also runs architecture in a more efficient manner, driving internal cost savings down and resulting in a lower price point. The time to value with Coralogix is much less overall.

To learn more, read our full-stack observability guide

Logs, metrics, traces and alerting

Coralogix and Elastic Cloud support ingesting logs, metrics, and traces. While these three data types are common across most SaaS observability platforms, Coralogix uses a unique data streaming analytics pipeline called Streama to analyze data in real-time and provide long-term trend analysis without indexing. 

Data correlation and usability 

While both Coralogix and Elastic Cloud ingest logs, metrics, and traces from many different sources, Coralogix excels at bringing all this data together in a single, cohesive journey that allows users to sail between data types seamlessly. 

Coralogix Flow Alerts

Coralogix alerting has unique features like Coralogix Flow Alerts, which allow users to orchestrate their logs, metrics, traces, and security data into a single alert that tracks multiple events over time. Using Flow Alerts, customers can track the change in their system.

Machine Learning capabilities 

Both Coralogix and Elastic Cloud utilize machine learning for alarms, and for automatic correlation between events. For example, if an alarm triggers because of a flow anomaly, the Coralogix platform will automatically show other anomalies that occurred in the same timeframe. 

Coralogix Loggregation 

Coralogix Loggregation is another unique feature in the Coralogix toolkit. Loggregation will automatically cluster similar logs together, to form a “template”. This functionality allows users to understand which logs are noisiest and accounting for the most errors and more.

Essentially,  the Loggeration guides customers through troubleshooting.  While Elastic Cloud offers some log clustering functionality (where all data has to be indexed first), Coralogix lets you analyze your data free from indexing.

Archiving and Archive Query

There is no bigger difference in this comparison of Coralogix vs Elastic Cloud than in archiving. For Elastic customers, archiving in a remote location, such as S3, is limited to enterprise customers. As a result, most users ingest a lot of data, and subsequently spend a larger amount of money. 

All Coralogix customers, regardless of ingestion amounts, can remotely archive their data into S3. Since Coralogix does not tier its solution, customers who ingest their data into the platform gain immediate access to every single feature.

Furthermore, with the Coralogix platform, you can perform remote queries in seconds on archived, unindexed data. Meanwhile, with Elastic, for data to be accessible, it needs to be indexed, resulting in huge implication costs. Finally, Coralogix enables infinite retention with unlimited access, with no cost per query, through its archive query capability. 

Cost optimizations

  • Coralogix: Coralogix users start by indexing the majority of their data, but over time, they tend to transfer more data to the archive. This is because it can be queried in seconds, at no additional cost.

    This functionality means customers can store the majority of their data in S3, and pay at most $0.023 / GB for storage. Coupled with the Compliance ingest costs in Coralogix, $0.17 / GB, the GB cost for ingest and storage is $0.193 / GB for the first month and $0.023/GB every month after that. Customers can cut costs by between 40% and 70%.

    Compared to Elastic Cloud, Coralogix cost optimization rests entirely with the customer. Cost optimization with an Elastic deployment may require in-house teams that negate much of the cost optimization possible. 
  • Elastic Cloud: For Elastic customers, instance types and computation power are just a few features that matter. Most are trading off cost for performance.

    Coralogix doesn’t charge by cloud resources, but by ingestion volume. More than that, Coralogix allows customers to assign use cases to traces and logs, which drive instant cost savings via the TCO Optimizer. These decisions are flexible and reversible, and entirely risk free. 

Pricing model

The Coralogix pricing model is based entirely on GB ingested with no solution tiering or extra costs for features, making it easy for new customers to predict their costs. In comparison, the Elastic offering is based on compute capacity.  Translating from data volumes to computing is difficult because the correct cluster size would be impacted by a number of other complex variables, such as data tiering, query volumes, high availability and much more. 

Customer support 

While Elastic Cloud offers 24/7 support to its premium customers,  other customers receive lesser coverage. Moreover, Elastic only offers rapid support, or roughly a 30-minute “target response time” for enterprise customers. This is not an SLA, so their documentation does not describe it as such.

Coralogix offers all customers a median 30-second response time, an SLA measured in minutes, and 24/7 support. Coralogix also offers a median resolution time of 43 minutes. Even with the most complete support that Elastic offers, they are acknowledging issues only 10 minutes faster than Coralogix is resolving them. 

Out-of-the-box dashboards

Elastic Cloud lacks a built-in dashboard for well-known technology, such as Kubernetes and Serverless. Elastic customers have to manually create these dashboards from scratch, often needing to be reworked since these dashboards are regularly shared in open source communities.

Coralogix has built dashboards for Kubernetes Monitoring, Serverless monitoring and more, while also supporting open source dashboarding solutions like Grafana. Coralogix also provides a custom dashboarding solution for Coralogix users. The platform’s reuse of open source dashboards, like JSON definitions, and the time-to-value of premade dashboards makes its offerings the best of both worlds. 

New Relic Pricing and Features vs. Coralogix

More platform teams owning multi-tenant systems need a full-stack observability solution that aggregates volumes of data into logs, metrics and traces. In tandem, there’s a growing number of major players in the observability industry, including New Relic.

This post will compare some key features between Coralogix vs. New Relic. We will also go over what customers are looking for when choosing a complete observability platform.

Core features: logs, metrics, traces and alerting

Coralogix and New Relic both support ingesting logs, metrics, and traces. These three data types are common across almost all SaaS observability platforms. It’s no surprise that they’re well covered in both offerings. 

Data correlation and usability: Coralogix vs. New Relic

Coralogix and New Relic ingest logs, metrics, and traces from many different sources. That being said, Coralogix excels at bringing all this data together in a single, cohesive journey, which allows users to sail between data types seamlessly. 

Coralogix flow alerts

A significant difference between Coralogix and New Relic is Coralogix Flow Alerts. Flow Alerts allow users to orchestrate their logs, metrics, traces, and security data into a single alert that tracks multiple events over time. Coralogix’s unique offering enables customers to create alerts that describe the complete picture of their system. 

Coralogix vs. New Relic: Machine Learning capabilities

Both Coralogix and New Relic utilize machine learning for alarms and for automatic correlation between events. For example, if an alarm triggers because of a flow anomaly, the Coralogix platform will automatically highlight other anomalies that occurred in the same timeframe. 

While New Relic offers a similar feature, Coralogix gives customers an extra feature that enables customers to instantly cluster similar logs together into a so-called template. Known as Loggregation, the feature enables Coralogix users to jump from millions of individual logs to only a handful of templates, massively reducing the size of the haystack and aiding engineers to prioritize their attention. 

SIEM and CSPM

While Coralogix offers both SIEM and CSPM solutions for Coralogix customers, New Relic offers neither of these features. Though some customers do use New Relic features to create a SIEM-like experience, New Relic does not have any documentation or solution outlines that describe itself as a SIEM provider.

Coralogix offers a sophisticated CSPM and SIEM solution, which unlocks true DevSecOps, by bringing security insights alongside general observability. This encourages left shifting of responsibilities, as well greater visibility of vital information security goals. 

Archiving and Archive Query

There is no bigger difference between Coralogix vs New Relic than in archiving. For New Relic customers, archiving in a remote location, such as S3, is only available for enterprise customers. The New Relic Enterprise Plan requires users to ingest a lot of data, and subsequently spend a large amount of money. 

All Coralogix customers, regardless of ingestion amounts, can remotely archive their data into S3. Coralogix does not tier its solution so that when customers ingest their data into the platform, they immediately gain access to every single platform feature.

But what about Archive Query?

Only Coralogix is capable of performing remote queries in seconds on archived, unindexed data. In order for data to be accessible for New Relic customers, the data needs to be indexed, resulting in large cost implications. Coralogix enables infinite retention with unlimited access, at no cost per query, through its archive query capability. 

Archive Query enables cost optimizations

Coralogix users start by indexing the majority of their data, gradually transferring more data to the archive. Customers know that data can be queried in seconds, at no additional cost. 

Coralogix’s cost optimization functionality means customers can store the majority of their data in S3, and pay at most $0.023 / GB for storage. Coupled with the Compliance ingest costs, which are $0.17 / GB, Coralogix makes a per GB cost for ingest and storage of $0.193 / GB for the first month and $0.023/GB every month after that. The price is a fraction of what anyone else on the market is offering, seamlessly allowing customers to cut costs between 40% and 70%. 

Compared to New Relic, which requires a $0.50/GB ingest charge,  their customers who wish to archive data in S3, a $0.523/GB cost for the first month, is nearly 3x as expensive. The price doesn’t factor in the cost of re-ingestion if New Relic users seek to access the same data again. 

New Relic Pricing Model Doesn’t Scale Well

For New Relic pricing, all data (logs, metrics and traces) are charged at $0.30/GB ingested. However, New Relic also charges $49 per user, per month, which adds a layer of complexity and greatly hampers the scalability of the New Relic solution. For Coralogix, there are very affordable rates for each data type ranging from $0.05/GB for all metrics to $1.15/GB for fully indexed logs in hot storage. Furthermore, Coralogix, only charges for ingestion with no extra costs for users (many customers have hundreds of users)

Moreover, since New Relic is a tiered solution, it is not abundantly clear which features are available (like archiving and faster support times) when customers ingest data. In contrast, Coralogix is not a tiered solution, and all features are available to all customers, regardless of spend. 

Customer support

There is no competition in the arena of customer support. The shortest response time SLA that New Relic offers to its enterprise customers is three hours. In contrast, Coralogix boasts a 30 second median response time and offers customer support to all of its users, not just those paying for the premium support. A no-tier model means Coralogix offers, by far, a complete customer support on the market. 

Wrapping up 

While New Relic has some great features, an inefficient pricing model and basic features like archiving hidden behind higher ingestion costs make it a more difficult sell. In comparison to Coralogix, with 15 second support, remote archive and archive query, coupled with the simplest pricing model on the market, the decision is clear. 

Check out our analysis on Datadog pricing.

Coralogix Provides Highly Scalable Traces For Your Success

While more observability vendors are providing tracing ingestion and visualization as part of their core service, only Coralogix, the leading in-stream observability platform, supports a set of data optimization features that drive down cost, maximize insights and create a scalable tracing strategy unlike others. 

Cost, performance and usability

Traces are designed to track details about every single interaction between all services in a system. Even at a small scale, there is an explosion in data volumes that directly impacts three crucial features of any observability solution:

  • Performance: Huge data volumes slow down query performance and negatively impact the developer experience. Performance is most acutely felt in the middle of an outage. 
  • Cost: Processing huge volumes of data requires a lot of computing power, which translates into significant cost. 
  • Usability: Although a system might be performing well, holding huge volumes of data can make it difficult to focus on the necessary details. 

As data volumes outpace budgets, cost, performance and usability have become widespread issues within the industry. And most vendors are not providing cost optimization tools because their business model is predicated on wasteful data usage. At Coralogix, thanks to our Streama© architecture we can actively encourage our users to optimize cost at every opportunity.

TCO for Traces: How to retain tracing data

With Coralogix, traces can now be routed and assigned to three different use cases to enable fine-grained control over how that data is processed, and drive significant ingestion and retention discounts for data:

  • High Priority: Data that must be indexed and queried regularly has access to every feature in the platform.
  • Medium Priority (75% cost savings): Data that drives dashboards, in-stream alerting, machine learning models and more.
  • Low Priority (90% cost savings): Data that is retained for regulatory or historical analysis purposes. This data is archived in an S3 bucket hosted in the customer’s account.

Unparalleled cost optimization for traces 

Previously, customers were required to index all of their traces. Now, they can decide which traces will and won’t be indexed. In addition, every feature is still accessible without indexing and users will not need to exchange valuable insights for cost.

Using Coralogix TCO Optimizer, users can rapidly scale their tracing strategy, by retaining the traces they absolutely need. For the other traces, these can be converted into metrics using the Events2Metrics feature, enabling long-term retention, instant access and flexible analysis. Finally, traces can be archived, reindexed or directly queried, even without indexing. These options enable Coralogix users to greatly increase their dataset of tracing data, without incurring significant costs. 

Historical tracing is now a reality

Coralogix now supports an often overlooked use case: historical tracing. Customers can retain detailed information about their service-to-service interactions in their S3 bucket, for as long as they like, without suffering under the performance, cost and usability penalties of the past. Historical tracing, coupled with Coralogix Remote Query, means that data is not only retained, but instantly accessible, without the need to reindex

The Coralogix Archive, for both logs and traces, is not simply a storage container for unindexed data, but an active, working part of the customer’s dataset, driving informed decisions and producing insights well after data is ingested. Your tracing platform should be scalable and cost efficient, with native integrations into your favorite open source tools.