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 experiences 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 selections.

That’s why I turned to G2. I analyzed evaluations 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 crew’s nonetheless counting on guide checks or ready for finish customers to flag issues, these 5 instruments are price a critical look.

What makes a knowledge observability instrument price it?

Information strikes quick. However when one thing breaks, the harm strikes quicker. A lacking desk, a silent schema change, or a spike in null values can quietly ripple by way of dashboards, fashions, and government experiences, typically 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 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 stop them from occurring once more.

However it’s not nearly preserving pipelines operating. The size and complexity of contemporary knowledge stacks demand instruments that present visibility. If what you are promoting will depend on knowledge to make selections (and who doesn’t?), observability is crucial.

What I prioritized when evaluating knowledge observability platforms 

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

• Protection throughout the trendy knowledge stack: The perfect observability platforms hook up with warehouses, ETL instruments, orchestration platforms, and BI layers. I prioritized instruments with broad integration assist, 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 supply clear lineage graphs, dependency maps, and problem traces that velocity up decision and eradicate guesswork.
• Anomaly detection and clever alerts: False positives create alert fatigue. I gave further weight to platforms that supply customizable thresholds, noise discount options, and contextual alerts that assist groups concentrate on 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 occasions, and pricing fashions that make sense for rising knowledge groups, not simply giant enterprises with devoted platform engineers.

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

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

1. Monte Carlo: Greatest for automated knowledge incident detection

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 fashionable in monetary companies, IT companies, and software program, the place knowledge reliability is non-negotiable. Monte Carlo at the moment holds a 100% G2 Satisfaction Rating, reflecting the sturdy belief it’s earned from knowledge groups.

Throughout evaluations, what actually stood out was how typically customers praised Monte Carlo’s automated monitoring capabilities. The platform constantly checks for anomalies throughout freshness, quantity, schema, and distribution while not having guide guidelines for each desk. This makes it simpler for knowledge groups to identify points early, whilst 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 experiences. The lineage view gave groups a quicker method to hint incidents and prioritize what wanted fixing first.

I additionally noticed quite a 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 could possibly be pushed on to Slack or assigned as tickets, which helped groups collaborate quicker throughout incident decision.

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

Placing reward for good UI apart, a number 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 may be noisy and generally lack sufficient context to behave shortly, that means they nonetheless must test logs to completely diagnose the difficulty.

General, 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 a number of reviewers mentioning that alerts can generally lack sufficient context, requiring further digging to completely troubleshoot the difficulty.
• Some customers additionally talked about that the UI can really feel unintuitive at occasions, 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 giant 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 Evaluate, Shirli M.

2. Metaplane: Greatest for light-weight observability with quick setup

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

Some of the constant themes throughout evaluations is how efficient Metaplane is at anomaly detection. Customers highlighted how shortly 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 dwell, 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 incessantly in evaluations, and customers appreciated that alerts and points could possibly be routed by way of Slack and different crew workflows. It’s constructed to assist engineers the place they already work.

Buyer assist is one other standout theme. G2 reviewers incessantly talked about quick, hands-on responses from the Metaplane crew. Many famous that suggestions will not be solely welcomed however acted on shortly, which is particularly worthwhile given the product’s still-growing characteristic set.

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

In case your crew is on the lookout for light-weight observability that’s straightforward to get operating and doesn’t compromise on core performance, Metaplane is a robust decide.

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 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 characteristic along with the testing/affect previews that you just get from the CI. Having the ability to establish the particular rows which might be drivers for any change within the complexion of a knowledge set would make debugging that a lot faster.”

– Metaplane Evaluate, Dave F.

3. Rakuten SixthSense: Greatest for large-scale enterprise knowledge monitoring

Rakuten SixthSense provides groups real-time visibility into pipeline well being and knowledge high quality. In keeping 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 dwell knowledge monitoring and fast incident response are particularly necessary.

Whereas the variety of G2 evaluations continues to be comparatively small in comparison with different instruments on this record, a number of constant themes emerged throughout the suggestions. Some of the incessantly 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 shortage of in depth coaching or onboarding required to extract worth, making it accessible to groups with totally different technical expertise. 

The inclusion of lineage monitoring was one other plus. I learn evaluations 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 keep belief within the knowledge.

One other standout space was the assist crew. A number of reviewers praised Rakuten SixthSense for its responsive service and clean 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.

Should you’re on the lookout for a real-time monitoring answer with responsive assist and a user-friendly design, Rakuten SixthSense could also be price exploring.

What I dislike about Rakuten SixthSense:

• Based mostly on the restricted evaluations, some customers expressed considerations round pricing, describing it as comparatively excessive in comparison with the present characteristic set.
• A couple 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 right this moment. The pricing of the instrument may be improved and labored upon.”

– Rakuten SixthSense Evaluate, Verified Consumer in Automotive.

4. decube: Greatest for unified knowledge high quality and governance

decube is a light-weight knowledge observability platform. In keeping 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 continues to be small, however the suggestions that’s obtainable 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 affect enterprise dashboards.

Constructing on that, knowledge groups additionally highlighted the lineage capabilities, which provided detailed transparency throughout pipelines. Many stated they may hint issues all the way down to probably the most granular degree, making it simpler to pinpoint root causes and assess downstream affect. 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 velocity and accuracy. As a substitute of counting on guide checks or ready for downstream complaints, decube gave them visibility into dwell 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 straightforward to navigate. That usability appeared to make an actual distinction for smaller groups attempting to maneuver shortly.

Nonetheless, a number of reviewers identified lacking options corresponding to restricted integrations, bulk monitor creation, notification flexibility, and a necessity for extra onboarding steerage. These have been particular person callouts quite than a shared consensus. Price noting: as a result of decube continues 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 crew values quick problem detection, clear design, and a product crew that’s actively transport enhancements, decube is a robust contender.

What I dislike about decube:

• Among the many evaluations which might be obtainable, some customers flagged lacking options like API entry, extra connectors, and bulk monitor creation. 
• A couple of customers expressed a need for extra complete onboarding steerage to assist new customers acclimate extra shortly.

What G2 customers dislike about decube:

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

– decube Evaluate, Shreyank V.

5. SquaredUp: Greatest for real-time pipeline efficiency visibility

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 evaluation knowledge obtainable 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 complicated infrastructure knowledge much more intuitive.

I additionally observed optimistic suggestions round integrations. SquaredUp affords 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 instantaneous readability throughout displays, dashboards, and workspaces. As a substitute of digging by way of limitless charts, ops groups may shortly spot points and take motion, whereas management received the top-line metrics they wanted in a single place. 

The assist expertise got here up quite a bit, 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 way of dashboard setup, and clarified something that felt complicated. That form of hands-on assist made an actual distinction, notably for groups simply getting began with observability or scaling the platform throughout departments.

As a result of evaluation quantity is low, I wasn’t in a position to establish 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 crew works in a Microsoft-heavy atmosphere and desires a dashboarding instrument 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 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, for example, however does commerce that for a neater studying curve.”

– SquaredUp Evaluate, Nick D.

Often requested questions on one of the best knowledge observability instruments

Bought extra questions? Now we have the solutions.

Q1. What’s the greatest knowledge observability software program in 2025?

Based mostly on G2 satisfaction scores and actual consumer evaluations, Monte Carlo leads the pack. It’s praised for automated monitoring, root trigger evaluation, and integrations with instruments like Slack, dbt, and Tableau. It’s broadly used throughout mid-market and enterprise groups and at the moment holds a 100% satisfaction rating on G2.

Q2. Which instruments are thought of the highest knowledge monitoring options for software program and IT corporations?

Monte Carlo, Metaplane, and Rakuten SixthSense are generally utilized in laptop software program, IT companies, and monetary companies industries. Monte Carlo helps deep observability use instances, Metaplane is light-weight and quick to deploy, and Rakuten SixthSense is constructed for real-time enterprise monitoring.

Q3. What’s one of the best app for monitoring knowledge well being, and anomalies?

Metaplane earns high marks for anomaly detection and ongoing knowledge well being checks. Reviewers persistently reward its alerting system, ease of use, and talent to detect silent failures in pipelines earlier than enterprise customers are impacted.

This autumn. What makes a knowledge observability platform enterprise-ready?

Monte Carlo and Rakuten SixthSense are high picks for enterprise knowledge observability. They provide deep integrations, real-time monitoring, and robust lineage visibility; options vital for groups with complicated, high-volume pipelines and a number of stakeholders.

Q5. Are there any really helpful knowledge monitoring companies for startups or small companies?

Sure. Metaplane and decube are well-suited for smaller groups on account of their simplicity and quick setup. Metaplane is already established amongst small enterprise customers on G2, whereas decube exhibits early promise with its real-time monitoring and intuitive UI, although it has fewer evaluations to this point.

Q6. What are some fashionable knowledge observability instruments proper now?

In keeping with G2 Information, Monte Carlo and Metaplane are among the many hottest and best-reviewed knowledge observability instruments. Each are broadly adopted and persistently praised for efficiency, usability, and integration assist.

Q7. What’s the best-in-class knowledge observability answer for groups who need straightforward onboarding?

If quick implementation is a precedence, Metaplane stands out. G2 reviewers typically spotlight its easy setup course of, clear navigation, and fast worth supply, making it superb for groups that need to keep away from lengthy onboarding cycles.

Q8. Which instrument affords probably the most versatile knowledge observability service?

SquaredUp affords a special observability method by connecting on to present instruments: no knowledge ingestion or further storage. With 60+ integrations and its distinctive RollUp structure, it gives operations groups with a transparent, easy view throughout techniques. It is superb for groups managing a number of knowledge sources looking for fast insights and not using a heavy setup.

Able to belief your knowledge once more?

Information breaks are inevitable, however being blindsided by them doesn’t must be. As the dimensions and velocity of information creation proceed to rise, observability instruments have gotten much less of a nice-to-have and extra of a necessity for contemporary knowledge groups.

The 5 platforms featured right here: Monte Carlo, Metaplane, Rakuten SixthSense, decube, and SquaredUp, stood out based mostly on G2 evaluation knowledge for his or her usability, alerting accuracy, lineage visibility, and real-time monitoring capabilities. Whether or not you are a part of a lean startup crew or managing knowledge throughout an enterprise stack, there’s one thing right here for each form of atmosphere.

Should you’re nonetheless counting on guide checks or reactive troubleshooting, now’s the time to make a shift. These instruments will help you catch points quicker, hint them with confidence, and restore belief in your knowledge earlier than anybody else notices one thing’s off.

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