I Evaluated G2’s 5 Finest Information Observability Software program (2025 Listing)

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 problem quickly sufficient to cease it. And by the point anybody observed, downstream stories have been improper, management had already seen them, and belief in your knowledge took one other hit.

The stakes are solely getting increased. International knowledge 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 critiques for greater than 15 platforms to seek out the greatest knowledge observability software program for 2025. The 5 instruments featured right here stood out for serving to knowledge engineers detect points early, hint them quick, and stop repeat failures.

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

What makes an information observability software price it?

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

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

However it’s not nearly protecting pipelines operating. The size and complexity of recent knowledge stacks demand instruments that present visibility. If your enterprise will depend on knowledge to make choices (and who doesn’t?), observability is important.

What I prioritized when evaluating knowledge observability platforms 

I thought-about the next elements when evaluating the most effective knowledge observability software program.

• Protection throughout the trendy knowledge stack: The most effective observability platforms connect with warehouses, ETL instruments, orchestration platforms, and BI layers. I prioritized instruments with huge integration help, so that you’re not caught monitoring only one a part of the pipeline.
• Root-cause detection and knowledge 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 challenge traces that velocity up decision and eradicate guesswork.
• Anomaly detection and clever alerts: False positives create alert fatigue. I gave additional 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 knowledge 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 knowledge groups, not simply giant enterprises with devoted platform engineers.

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

*This knowledge was pulled from G2 in 2025. Some critiques might have been edited for readability.

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

Throughout critiques, what actually stood out was how usually customers praised Monte Carlo’s automated monitoring capabilities. The platform constantly checks for anomalies throughout freshness, quantity, schema, and distribution with no need guide guidelines for each desk. This makes it simpler for knowledge groups to identify points early, at the same time as their pipelines develop extra complicated.

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

I additionally noticed a variety of optimistic suggestions round integrations. Monte Carlo plugs into fashionable instruments like Snowflake, BigQuery, Airflow, dbt, Tableau, and even Jira. A number of reviewers famous how alerts might 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 diminished a variety of the guide overhead they have been used to.

Placing reward for good UI apart, just a few reviewers famous that it isn’t all the time intuitive. Some struggled with monitor configuration or navigating between completely different views. And whereas alerting was usually seen as useful, some customers stated notifications could be noisy and typically lack sufficient context to behave rapidly, which means they nonetheless have to examine logs to completely diagnose the problem.

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

What I dislike about Monte Carlo:

• I observed just a few reviewers stating that alerts can typically lack sufficient context, requiring additional digging to completely troubleshoot the problem.
• Some customers additionally talked about that the UI can really feel unintuitive at instances, particularly when configuring displays or switching between completely different views.

What G2 customers dislike about Monte Carlo:

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

– Monte Carlo Evaluate, Shirli M.

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

One of the constant themes throughout critiques 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 energy 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 stay, 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 properly it integrates with the trendy knowledge stack. Instruments like Snowflake, dbt, and Looker got here up incessantly in critiques, and customers appreciated that alerts and points might be routed by Slack and different staff workflows. It’s constructed to help engineers the place they already work.

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

That brings us to the trade-off: I learn particular person feedback about lacking capabilities round knowledge lineage and alert customization. A number of reviewers additionally identified that alert tuning might be improved to cut back occasional noise. Nonetheless, reviewers persistently stated the staff is very responsive and continues to ship updates based mostly on buyer suggestions.

In case your staff is on the lookout for light-weight observability that’s simple to get operating 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 typically needed to fine-tune thresholds or regulate settings to filter out much less related pings.

What G2 customers dislike about Metaplane:

“The alerts could be 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 knowledge diff function along with the testing/influence previews that you simply get from the CI. Having the ability to determine the precise rows which can be drivers for any change within the complexion of an information set would make debugging that a lot faster.”

– Metaplane Evaluate, Dave F.

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

Whereas the variety of G2 critiques continues to be comparatively small in comparison with different instruments on this checklist, a number of constant themes emerged throughout the suggestions. One of the incessantly talked about strengths was real-time monitoring. Customers appreciated having the ability to spot knowledge points as they occurred, lowering 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 knowledge observability. Information groups valued the shortage of in depth coaching or onboarding required to extract worth, making it accessible to groups with completely different technical expertise. 

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

One other standout space was the help staff. A number of reviewers praised Rakuten SixthSense for its responsive service and easy onboarding expertise. This hands-on method 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 the event you’re on the lookout for a real-time monitoring resolution with responsive help and a user-friendly design, Rakuten SixthSense could also be price exploring.

What I dislike about Rakuten SixthSense:

• Based mostly on the restricted critiques, some customers expressed issues round pricing, describing it as comparatively excessive in comparison with the present function set.
• A number of 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 at the moment. The pricing of the software could be improved and labored upon.”

– Rakuten SixthSense Evaluate, Verified Consumer in Automotive.

decube is a light-weight knowledge 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 critiques continues 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 influence enterprise dashboards.

Constructing on that, knowledge groups additionally highlighted the lineage capabilities, which provided detailed transparency throughout pipelines. Many stated they might hint issues all the way down to essentially the most granular stage, making it simpler to pinpoint root causes and assess downstream influence. That sort of visibility sped up incident decision and helped scale 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 velocity and accuracy. As an alternative of counting on guide checks or ready for downstream complaints, decube gave them visibility into stay knowledge flows and helped them act quick.

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

Nonetheless, just a few reviewers identified lacking options akin to restricted integrations, bulk monitor creation, notification flexibility, and a necessity for extra onboarding steerage. These have been particular person callouts moderately than a shared consensus. Price noting: as a result of decube continues to be new to the class, there aren’t many critiques to judge simply but, which can make it tougher for groups to benchmark the platform towards extra established instruments.

In case your staff values quick challenge detection, clear design, and a product staff that’s actively transport enhancements, decube is a robust contender.

What I dislike about decube:

• Among the many critiques which can be out there, some customers flagged lacking options like API entry, extra connectors, and bulk monitor creation. 
• A number of customers expressed a want for extra complete onboarding steerage 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 technique to carry out bulk checks by UI. At the moment, we use an API for this.”

– decube Evaluate, Shreyank V.

SquaredUp is an operational intelligence platform broadly utilized in industries like oil & power, enterprise provides, and development by 64% of enterprise organizations, based on G2 Information.

There’s restricted overview knowledge out there for SquaredUp on G2, however among the many reviewers who did weigh in, their dashboarding capabilities stood out as a core energy. I noticed repeated reward for a way simple it’s to spin up real-time dashboards and floor essentially the most related metrics with no need to tug in separate knowledge pipelines.

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

I additionally observed optimistic suggestions round integrations. SquaredUp affords over 60 built-in connectors, which suggests you’ll be able to pull in knowledge from SQL databases and APIs with no need 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 an alternative of digging by limitless charts, ops groups may 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 staff wasn’t simply responsive, however genuinely proactive. They helped with onboarding, walked customers by dashboard setup, and clarified something that felt complicated. That sort of hands-on help made an actual distinction, significantly for groups simply getting began with observability or scaling the platform throughout departments.

As a result of overview quantity is low, I wasn’t in a position to 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 staff works in a Microsoft-heavy atmosphere and wishes a dashboarding software that connects on to your infrastructure, SquaredUp could also be price exploring.

What I dislike about SquaredUp:

• Some particular person suggestions identified challenges with server upkeep options and occasional complexity in organising 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 knowledge observability helps you catch points, knowledge extraction instruments allow you to unlock your knowledge’s worth within the first place. Discover the greatest knowledge extraction software program to tug correct, usable knowledge from completely different sources.