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

The stakes are solely getting increased. World 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 search out the finest 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 forestall repeat failures.

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

What makes a knowledge observability instrument value 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 means of dashboards, fashions, and government studies, typically earlier than anybody notices.

That’s what knowledge observability is constructed to resolve. These instruments assist engineers monitor freshness, quantity, schema, and distribution in close to actual time. As a substitute of combing by means 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 occurring once more.

But it surely’s not nearly preserving pipelines operating. The size and complexity of contemporary knowledge stacks demand instruments that present visibility. If your corporation is determined by knowledge to make choices (and who doesn’t?), observability is important.

What I prioritized when evaluating knowledge observability platforms 

I thought of the next components when evaluating the very best knowledge observability software program.

• Protection throughout the trendy knowledge stack: One of the best 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 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 concentrate on what truly 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 occasions, and pricing fashions that make sense for rising knowledge groups, not simply massive enterprises with devoted platform engineers.

The record under 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 firms. G2 Information exhibits 47% of customers come from mid-sized organizations and 48% from massive enterprises. It’s particularly in style in monetary providers, IT providers, 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 typically customers praised Monte Carlo’s automated monitoring capabilities. The platform repeatedly checks for anomalies throughout freshness, quantity, schema, and distribution while not having handbook guidelines for each desk. This makes it simpler for knowledge groups to identify points early, whilst their pipelines develop extra advanced.

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 studies. The lineage view gave groups a sooner approach to hint incidents and prioritize what wanted fixing first.

I additionally noticed a whole lot of optimistic 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 may very well be pushed on to Slack or assigned as tickets, which helped groups collaborate sooner throughout incident decision.

Ease of use got here up typically, 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 decreased a whole lot of the handbook overhead they had been used to.

Placing reward for good UI apart, a couple of 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 typically considered as useful, some customers stated notifications could be noisy and typically lack sufficient context to behave rapidly, that means they nonetheless must test logs to totally diagnose the difficulty.

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

What I dislike about Monte Carlo:

• I observed a couple of reviewers declaring that alerts can typically lack sufficient context, requiring further digging to totally troubleshoot the difficulty.
• Some customers additionally talked about that the UI can really feel unintuitive at occasions, 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 massive numbers of displays or incidents. Moreover, the alerting can often be noisy till it’s totally tuned for our surroundings. Extra granular management over alert thresholds and grouping would make the expertise even higher”.

– Monte Carlo Assessment, Shirli M.

Metaplane helps groups catch knowledge points early with out the overhead of a posh 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 laptop software program, IT providers, and monetary providers, 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, typically 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 reside, the interface was described as clear, straightforward to navigate, and unintimidating, even for groups with out devoted platform engineers.

Metaplane additionally earns excessive marks for how effectively it integrates with the trendy knowledge stack. Instruments like Snowflake, dbt, and Looker got here up regularly in critiques, and customers appreciated that alerts and points may very well be routed by means of Slack and different crew workflows. It’s constructed to help engineers the place they already work.

Buyer help is one other standout theme. G2 reviewers regularly talked about quick, hands-on responses from the Metaplane crew. 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. Just a few reviewers additionally identified that alert tuning may very well be improved to cut back occasional noise. Nonetheless, reviewers constantly stated the crew is very responsive and continues to ship updates primarily based on buyer suggestions.

In case your crew is searching for light-weight observability that’s straightforward to get operating and doesn’t compromise on core performance, Metaplane is a powerful 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 modify settings to filter out much less related pings.

What G2 customers dislike about Metaplane:

“The alerts is usually 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 a knowledge set would make debugging that a lot faster.”

– Metaplane Assessment, 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 massive enterprises, 30% from mid-market firms, and 20% from small companies. It’s mostly adopted in industries like laptop software program, automotive, and banking, sectors the place reside knowledge monitoring and speedy incident response are particularly essential.

Whereas the variety of G2 critiques continues to be comparatively small in comparison with different instruments on this record, a number of constant themes emerged throughout the suggestions. One of the regularly talked about strengths was real-time monitoring. Customers appreciated with the ability to spot knowledge points as they occurred, decreasing the chance 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 dearth of in depth coaching or onboarding required to extract worth, making it accessible to groups with completely different technical abilities. 

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, pace up root trigger evaluation, and keep belief within the knowledge.

One other standout space was the help crew. A number of reviewers praised Rakuten SixthSense for its responsive service and easy onboarding expertise. This hands-on strategy made a powerful 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.

Should you’re searching for a real-time monitoring answer 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 critiques, 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 at present. The pricing of the instrument could be improved and labored upon.”

– Rakuten SixthSense Assessment, Verified Person 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 providers, monetary providers, and automotive.

The variety of critiques continues to be small, however the suggestions that’s accessible highlights some constant strengths. Automated high quality checks got here up typically. G2 reviewers talked about how decube helped them keep forward of points by flagging anomalies on the column degree earlier than they may influence enterprise dashboards.

Constructing on that, knowledge groups additionally highlighted the lineage capabilities, which supplied detailed transparency throughout pipelines. Many stated they may hint issues right down to probably the most granular degree, making it simpler to pinpoint root causes and assess downstream influence. That form 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 knowledge flows and helped them act quick.

A giant a part of what made that potential 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.

Nevertheless, a couple of reviewers identified lacking options comparable to restricted integrations, bulk monitor creation, notification flexibility, and a necessity for extra onboarding steerage. These had been particular person callouts quite than a shared consensus. Value noting: as a result of decube continues to be new to the class, there aren’t many critiques to guage simply but, which can make it more durable for groups to benchmark the platform towards extra established instruments.

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

What I dislike about decube:

• Among the many critiques which can be accessible, some customers flagged lacking options like API entry, extra connectors, and bulk monitor creation. 
• Just a few customers expressed a need for extra complete onboarding steerage to assist new customers acclimate extra rapidly.

What G2 customers dislike about decube:

“All of the exams should be pushed/configured manually. There ought to approach to carry out bulk exams by means of UI. At present, we use an API for this.”

– decube Assessment, Shreyank V.

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

There’s restricted evaluate knowledge accessible 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 the way straightforward it’s to spin up real-time dashboards and floor probably the most related metrics while not having to drag in separate knowledge pipelines.

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

I additionally observed optimistic suggestions round integrations. SquaredUp presents over 60 built-in connectors, which implies you possibly can pull in knowledge from SQL databases and APIs while not having to ingest it or duplicate storage.

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

The help expertise got here up loads, too, and in a great way. Reviewers stated the SquaredUp crew wasn’t simply responsive, however genuinely proactive. They helped with onboarding, walked customers by means of dashboard setup, and clarified something that felt advanced. That form 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 powerful 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 crew works in a Microsoft-heavy surroundings and desires a dashboarding instrument 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 example, however does commerce that for a neater studying curve.”

– SquaredUp Assessment, Nick D.

If knowledge observability helps you catch points, knowledge extraction instruments aid you unlock your knowledge’s worth within the first place. Discover the finest knowledge extraction software program to drag correct, usable knowledge from completely different sources.