I Evaluated G2’s 5 Greatest Information Observability Software program (2025 Record)

Your pipeline breaks. No alerts. No warnings. Only a flood of messages a couple of damaged dashboard.

The information didn’t fail by itself; nobody noticed the difficulty quickly sufficient to cease it. And by the point anybody observed, downstream stories have been incorrect, management had already seen them, and belief in your information took one other hit.

The stakes are solely getting greater. World information creation is projected to hit 394 zettabytes by 2028. With that a lot quantity in movement, even small breaks can set off main outages, SLA breaches, or revenue-impacting choices.

That’s why I turned to G2. I analyzed evaluations for greater than 15 platforms to seek out the finest information observability software program for 2025. The 5 instruments featured right here stood out for serving to information engineers detect points early, hint them quick, and forestall repeat failures.

In case your workforce’s nonetheless counting on handbook checks or ready for finish customers to flag issues, these 5 instruments are value a critical look.

What makes a knowledge observability software value it?

Information strikes quick. However when one thing breaks, the harm strikes sooner. A lacking desk, a silent schema change, or a spike in null values can quietly ripple by way of dashboards, fashions, and government stories, usually earlier than anybody notices.

That’s what information observability is constructed to unravel. These instruments assist engineers monitor freshness, quantity, schema, and distribution in close to actual time. As a substitute of combing by way of logs or retroactively patching pipelines, you get clear alerts, root-cause context, and upstream/downstream lineage that helps you repair points quick and forestall them from taking place once more.

However it’s not nearly retaining pipelines working. The dimensions and complexity of recent information stacks demand instruments that present visibility. If your small business is determined by information to make choices (and who doesn’t?), observability is important.

What I prioritized when evaluating information observability platforms 

I thought of the next components when evaluating the most effective information observability software program.

• Protection throughout the fashionable information stack: The most effective observability platforms connect with warehouses, ETL instruments, orchestration platforms, and BI layers. I prioritized instruments with vast integration help, so that you’re not caught monitoring only one a part of the pipeline.
• Root-cause detection and information lineage: Catching an error is one factor; tracing it again to the supply is one other. I seemed for instruments that provide clear lineage graphs, dependency maps, and concern traces that pace up decision and get rid of guesswork.
• Anomaly detection and clever alerts: False positives create alert fatigue. I gave further weight to platforms that provide customizable thresholds, noise discount options, and contextual alerts that assist groups give attention to what really issues.
• Actual-time monitoring for freshness, quantity, and schema: Silent failures like schema drift or lacking rows can go unnoticed for hours. I prioritized instruments that present real-time checks throughout information high quality dimensions, together with freshness, quantity consistency, schema modifications, and worth distribution.
• Usability, onboarding, and value transparency: Observability shouldn’t add complexity. I seemed for instruments with clear UIs, quick setup instances, and pricing fashions that make sense for rising information groups, not simply massive enterprises with devoted platform engineers.

The listing beneath comprises real consumer evaluations from the information observability software program class web page. To be included on this class, an answer should:

*This information was pulled from G2 in 2025. Some evaluations could have been edited for readability.

Monte Carlo is a number one observability platform utilized by each mid-market and enterprise firms. G2 Information reveals 47% of customers come from mid-sized organizations and 48% from massive enterprises. It’s particularly fashionable in monetary companies, IT companies, and software program, the place information reliability is non-negotiable. Monte Carlo at present holds a 100% G2 Satisfaction Rating, reflecting the robust belief it’s earned from information groups.

Throughout evaluations, what actually stood out was how usually customers praised Monte Carlo’s automated monitoring capabilities. The platform repeatedly checks for anomalies throughout freshness, quantity, schema, and distribution without having handbook guidelines for each desk. This makes it simpler for information groups to identify points early, whilst their pipelines develop extra complicated.

One other recurring theme was Monte Carlo’s information lineage and root trigger evaluation options. G2 customers discovered it useful to visualise how points in upstream sources might have an effect on downstream stories. The lineage view gave groups a sooner option to hint incidents and prioritize what wanted fixing first.

I additionally noticed numerous constructive suggestions round integrations. Monte Carlo plugs into trendy instruments like Snowflake, BigQuery, Airflow, dbt, Tableau, and even Jira. A number of reviewers famous how alerts could possibly be pushed on to Slack or assigned as tickets, which helped groups collaborate sooner throughout incident decision.

Ease of use got here up usually, too. Whereas setup can take time relying in your stack, reviewers talked about that after configured, the platform’s prebuilt displays and clear alerting logic lowered numerous the handbook overhead they have been used to.

Placing reward for good UI apart, a couple of reviewers famous that it isn’t at all times intuitive. Some struggled with monitor configuration or navigating between totally different views. And whereas alerting was usually considered as useful, some customers stated notifications will be noisy and generally lack sufficient context to behave rapidly, that means they nonetheless must test logs to totally diagnose the difficulty.

General, Monte Carlo stands out as a robust selection for information groups that need deep observability, automated monitoring, and trusted information pipelines.

What I dislike about Monte Carlo:

• I observed a couple of reviewers stating that alerts can generally lack sufficient context, requiring further digging to totally troubleshoot the difficulty.
• Some customers additionally talked about that the UI can really feel unintuitive at instances, particularly when configuring displays or switching between totally different views.

What G2 customers dislike about Monte Carlo:

“Whereas Monte Carlo is highly effective, the UI can generally really feel cluttered when navigating massive numbers of displays or incidents. Moreover, the alerting can sometimes be noisy till it’s absolutely tuned for the environment. Extra granular management over alert thresholds and grouping would make the expertise even higher”.

– Monte Carlo Evaluate, Shirli M.

Metaplane helps groups catch information points early with out the overhead of a fancy setup. In accordance with G2 Information, 65% of its customers come from mid-market firms and 22% from small companies, reflecting its attraction to fast-moving groups with leaner assets. It’s generally utilized in industries like pc software program, IT companies, and monetary companies, the place dependable pipelines and quick alerting are important.

One of the crucial constant themes throughout evaluations is how efficient Metaplane is at anomaly detection. Customers highlighted how rapidly the platform flags points round freshness and schema modifications, usually earlier than downstream stakeholders even discover. It helps groups catch silent breakages early.

One other power that stood out was Metaplane’s simplicity. A number of reviewers talked about that the setup was quick and required little or no configuration. As soon as reside, the interface was described as clear, simple to navigate, and unintimidating, even for groups with out devoted platform engineers.

Metaplane additionally earns excessive marks for how effectively it integrates with the fashionable information stack. Instruments like Snowflake, dbt, and Looker got here up ceaselessly in evaluations, and customers appreciated that alerts and points could possibly be routed by way of Slack and different workforce workflows. It’s constructed to help engineers the place they already work.

Buyer help is one other standout theme. G2 reviewers ceaselessly talked about quick, hands-on responses from the Metaplane workforce. Many famous that suggestions isn’t solely welcomed however acted on rapidly, which is very precious given the product’s still-growing function set.

That brings us to the trade-off: I learn particular person feedback about lacking capabilities round information lineage and alert customization. Just a few reviewers additionally identified that alert tuning could possibly be improved to scale back occasional noise. Nonetheless, reviewers constantly stated the workforce is extremely responsive and continues to ship updates based mostly on buyer suggestions.

In case your workforce is on the lookout for light-weight observability that’s simple to get working and doesn’t compromise on core performance, Metaplane is a robust choose.

What I dislike about Metaplane:

• Some reviewers talked about that whereas core options are dependable, capabilities like lineage and alert customization nonetheless have room to develop.
• There have been additionally mentions of occasional alert noise. Groups generally needed to fine-tune thresholds or regulate settings to filter out much less related pings.

What G2 customers dislike about Metaplane:

“The alerts generally is a bit noisy, and it takes a while to tweak them so they’re offering the insights you need. I additionally would like to see a extra detailed information diff function along with the testing/impression previews that you just get from the CI. Having the ability to determine the precise rows which are drivers for any change within the complexion of a knowledge set would make debugging that a lot faster.”

– Metaplane Evaluate, Dave F.

Rakuten SixthSense provides groups real-time visibility into pipeline well being and information high quality. In accordance with G2 Information, 50% of its customers come from massive enterprises, 30% from mid-market firms, and 20% from small companies. It’s mostly adopted in industries like pc software program, automotive, and banking, sectors the place reside information monitoring and fast incident response are particularly vital.

Whereas the variety of G2 evaluations remains to be comparatively small in comparison with different instruments on this listing, a number of constant themes emerged throughout the suggestions. One of the crucial ceaselessly talked about strengths was real-time monitoring. Customers appreciated having the ability to spot information points as they occurred, decreasing the danger of delayed or damaged dashboards downstream.

Reviewers emphasised the platform’s user-friendliness as a key profit. Many discovered it easy to arrange and navigate, even for groups unfamiliar with information observability. Information groups valued the dearth of intensive coaching or onboarding required to extract worth, making it accessible to groups with totally different technical abilities. 

The inclusion of lineage monitoring was one other plus. I learn evaluations that famous the way it helped them hint information from supply to vacation spot. This end-to-end visibility made it simpler to identify upstream or downstream points, pace up root trigger evaluation, and keep belief within the information.

One other standout space was the help workforce. A number of reviewers praised Rakuten SixthSense for its responsive service and easy onboarding expertise. This hands-on strategy made a robust impression, particularly for groups exploring observability tooling for the primary time.

I did see a few limitations additionally being talked about. Some reviewers introduced up excessive pricing, describing it as an space for enchancment. There have been additionally remarks about integration depth, with customers noting that extra built-in connectors and expanded compatibility would make the platform extra versatile.

In case you’re on the lookout for a real-time monitoring resolution with responsive help and a user-friendly design, Rakuten SixthSense could also be value exploring.

What I dislike about Rakuten SixthSense:

• Based mostly on the restricted evaluations, some customers expressed issues round pricing, describing it as comparatively excessive in comparison with the present function set.
• Just a few reviewers identified that including extra integrations would enhance the platform’s flexibility in enterprise environments.

What G2 customers dislike about Rakuten SixthSense:

“I do not discover any dislikes as of right this moment. The pricing of the software will be improved and labored upon.”

– Rakuten SixthSense Evaluate, Verified Consumer in Automotive.

decube is a light-weight information observability platform. In accordance with G2 Information, it’s being utilized by a mixture of firm sizes: 32% small companies, 37% mid-market, and 32% enterprise, particularly in sectors like IT companies, monetary companies, and automotive.

The variety of evaluations remains to be small, however the suggestions that’s out there highlights some constant strengths. Automated high quality checks got here up usually. G2 reviewers talked about how decube helped them keep forward of points by flagging anomalies on the column stage earlier than they might impression enterprise dashboards.

Constructing on that, information groups additionally highlighted the lineage capabilities, which supplied detailed transparency throughout pipelines. Many stated they might hint issues right down to probably the most granular stage, making it simpler to pinpoint root causes and assess downstream impression. That type of visibility sped up incident decision and helped cut back disruptions in reporting or analytics.

I additionally observed a number of mentions of the real-time monitoring capabilities, which groups valued for his or her pace and accuracy. As a substitute of counting on handbook checks or ready for downstream complaints, decube gave them visibility into reside information flows and helped them act quick.

A giant a part of what made that doable was the consumer expertise. The platform’s UI was described as intuitive, minimal, and simple to navigate. That usability appeared to make an actual distinction for smaller groups attempting to maneuver rapidly.

Nonetheless, a couple of reviewers identified lacking options similar to restricted integrations, bulk monitor creation, notification flexibility, and a necessity for extra onboarding steering. These have been particular person callouts reasonably than a shared consensus. Price noting: as a result of decube remains to be new to the class, there aren’t many evaluations to judge simply but, which can make it more durable for groups to benchmark the platform towards extra established instruments.

In case your workforce values quick concern detection, clear design, and a product workforce that’s actively delivery enhancements, decube is a robust contender.

What I dislike about decube:

• Among the many evaluations which are out there, some customers flagged lacking options like API entry, further connectors, and bulk monitor creation. 
• Just a few customers expressed a need for extra complete onboarding steering to assist new customers acclimate extra rapidly.

What G2 customers dislike about decube:

“All of the checks must be pushed/configured manually. There ought to option to carry out bulk checks by way of UI. Presently, we use an API for this.”

– decube Evaluate, Shreyank V.

SquaredUp is an operational intelligence platform extensively utilized in industries like oil & vitality, enterprise provides, and development by 64% of enterprise organizations, in response to G2 Information.

There’s restricted evaluate information out there for SquaredUp on G2, however among the many reviewers who did weigh in, their dashboarding capabilities stood out as a core power. I noticed repeated reward for a way simple it’s to spin up real-time dashboards and floor probably the most related metrics without having to tug in separate information pipelines.

For groups utilizing Microsoft’s System Middle Operations Supervisor (SCOM), SquaredUp provides a versatile UI layer that makes deciphering complicated infrastructure information much more intuitive.

I additionally observed constructive suggestions round integrations. SquaredUp presents over 60 built-in connectors, which suggests you may pull in information from SQL databases and APIs without having to ingest it or duplicate storage.

SquaredUp’s RollUp views stood out for giving groups on the spot readability throughout displays, dashboards, and workspaces. As a substitute of digging by way of countless charts, ops groups might rapidly spot points and take motion, whereas management acquired the top-line metrics they wanted in a single place. 

The help expertise got here up quite a bit, too, and in a great way. Reviewers stated the SquaredUp workforce wasn’t simply responsive, however genuinely proactive. They helped with onboarding, walked customers by way of dashboard setup, and clarified something that felt complicated. That type of hands-on help made an actual distinction, notably for groups simply getting began with observability or scaling the platform throughout departments.

As a result of evaluate quantity is low, I wasn’t capable of determine a robust consensus round negatives. There have been remoted mentions of challenges round dashboard complexity and multi-server upkeep workflows, however nothing that stood out as a recurring ache level.

In case your workforce works in a Microsoft-heavy surroundings and wishes a dashboarding software that connects on to your infrastructure, SquaredUp could also be value exploring.

What I dislike about SquaredUp:

• Some particular person suggestions identified challenges with server upkeep options and occasional complexity in establishing dashboards for bigger environments.

What G2 customers dislike about SquaredUp:

“Because it depends on IIS, it inherits the problems with Kerberos and a number of authentication domains. It doesn’t have all of the extensibility options of Grafana, as an illustration, however does commerce that for a better studying curve.”

– SquaredUp Evaluate, Nick D.

If information observability helps you catch points, information extraction instruments show you how to unlock your information’s worth within the first place. Discover the finest information extraction software program to tug correct, usable information from totally different sources.