Alternative
Datadog Data Observability Alternative Built for Data Teams
Datadog is excellent at infrastructure and application monitoring, and it entered warehouse data observability by acquiring Metaplane in April 2025, so its data-quality product is Metaplane inside the Datadog platform. That is a strong fit if you already live in Datadog and want data alerts next to your service dashboards. Dataobservability is purpose-built for the data warehouse and sold on its own: dbt-native auto-monitors, column-level lineage, and the five pillars, at a price you can read rather than inside a platform bundle and a Datadog contract.
14-day trial, no credit card, read-only connection
Short answer
Datadog offers data observability through Metaplane, the data-quality startup it acquired in April 2025, so choosing Datadog for data observability means adopting Metaplane within the wider Datadog platform. That is compelling if your team already uses Datadog for infrastructure and application monitoring and wants data alerts in the same place. Dataobservability is a standalone, warehouse-native alternative: five-pillar monitoring, dbt-native auto-generated monitors, column-level lineage, and incident tracking, connected read-only with no agent to deploy and published at 99 dollars a month, without a Datadog-sized contract.
Last updated August 2026
See it live
The same five pillars, self-serve
Alerted #data-eng 0.8s ago.
Downstream impact · consumers at risk
Side by side
Dataobservability vs Datadog
Swipe to see all columns →
| Capability | Dataobservability | Datadog |
|---|---|---|
| Purpose-built for the warehouse | Partial | |
| dbt-native auto-monitors | Partial | |
| Column-level data lineage | Partial | |
| 5 pillars of observability | ||
| Standalone, not part of a platform bundle | ||
| Infra and APM monitoring in the same tool | ||
| Self-serve signup, no sales cycle | Varies | |
| Published entry price | 99 dollars a month | Usage-based, quote for the bundle |
Comparison reflects general product positioning and is provided in good faith. Verify current capabilities with each vendor.
What Datadog data observability actually is
Datadog did not build a warehouse data quality product from scratch. It acquired Metaplane in April 2025, and Metaplane is how Datadog delivers data observability, which means the capability you evaluate is Metaplane and the surface you buy it through is Datadog. Metaplane still runs as its own product with its own pricing page, and its connector list is the warehouse set you would expect: Snowflake, BigQuery, Redshift, Databricks, Clickhouse, Postgres, MySQL, SQL Server, dbt, and the BI layer including Looker, Tableau, Metabase, Mode, Sigma and Power BI. Checked August 2026. The practical question is not whether Datadog can monitor your warehouse. It can. The question is whether you want your data reliability tooling bought, renewed and priced as part of a platform relationship that was originally about hosts and traces.
Infrastructure observability and data observability are not the same problem
This is where most Datadog evaluations go sideways, because the word observability carries two meanings. Infrastructure and application observability answers whether the system is up: is the host responding, is the service returning errors, is latency within budget. Data observability answers whether the numbers are right: did the table load, did the row count collapse, did a column change type, did the distribution shift, and what is downstream of the thing that broke. A pipeline can run green end to end and still write wrong data, which is the entire reason the second category exists. Datadog is genuinely excellent at the first problem. If you are searching for Datadog observability because your services need monitoring, buy Datadog and stop reading. If you are searching because a dashboard showed the wrong revenue number on Monday, that is a data quality problem and the tooling is different.
What the Metaplane tiers actually include
Because Datadog data observability is Metaplane, the tier limits are worth reading before you assume the platform bundle covers you. Verified on the Metaplane pricing page in August 2026: the Free plan is 0 dollars forever and covers 10 monitored tables, 4 users and 3 custom SQL monitors. Pro is usage based and covers 100 monitored tables, and 5 custom SQL monitors. Enterprise is custom priced with unlimited tables and users and 10 custom SQL monitors. The number that surprises people is the custom SQL monitor count, because it stays in single digits at every tier. Automatic metadata driven monitors cover the common failure modes well, but if your reliability strategy depends on a library of bespoke business logic checks, count how many you would need and compare that against 3, 5 and 10 before you commit.
The bundling question, which is really a procurement question
Buying data observability inside Datadog has a genuine upside that is easy to undersell: one vendor, one contract, one security review, one bill, and data alerts sitting next to the service dashboards your on call engineers already watch. If Datadog is already your monitoring home, that consolidation is worth real money in avoided procurement overhead. The downside is the mirror image. Your data tooling now renews on the platform cycle, its cost is entangled with host and event volume you do not control, and switching costs compound across products. Datadog also does not publish a straightforward figure for the combination, so the total lands in a quote. A standalone tool with a published price gives up the single pane of glass and buys back a budget line you can read and a decision you can reverse.
Where Dataobservability fits against this
Dataobservability is the standalone option for teams whose problem is the warehouse specifically. It connects read only to Snowflake, BigQuery, Databricks and Redshift, generates freshness, volume, schema and distribution monitors from warehouse metadata rather than from checks somebody writes by hand, builds column level lineage from query history so an alert tells you which models and dashboards are downstream, tracks incidents rather than re firing the same alert every run, and routes to Slack and PagerDuty. It publishes 99, 299 and 799 dollars a month with a 14 day trial and no card, with no cap on custom checks tied to the tier. It does not monitor hosts, traces or logs, and it is not trying to. If you want one vendor for everything, Datadog is the better answer. If you want the warehouse watched properly, on a price you can read, without opening a platform negotiation, this is the trade being offered.
Honest verdict
Which one should you buy?
Pick Datadog when
Choose Datadog if your organization already standardizes on Datadog for infrastructure, APM, and logs, and you want data quality alerts sitting alongside your service monitors under one vendor and one contract. Since Datadog's data observability is Metaplane, you also get Metaplane's free-forever tier as an entry point, and the single-pane-of-glass story is real if Datadog is already your monitoring home.
Pick Dataobservability when
Choose Dataobservability if data is the thing you are monitoring and you do not want to buy the whole Datadog platform to watch your warehouse. It is warehouse-native, dbt-aware, includes column-level lineage and incident tracking, publishes its price at 99 dollars a month, and connects with a read-only warehouse connection without a procurement cycle.
Questions buyers ask
Datadog alternative FAQ
Does Datadog do data observability?
Yes. Datadog offers data observability through Metaplane, a warehouse data-quality platform it acquired in April 2025. In practice, adopting Datadog for data observability means using Metaplane's monitoring within the Datadog ecosystem. It is a natural fit if you already run Datadog for infrastructure and application monitoring and want data alerts in the same platform. If you want a standalone warehouse tool, Dataobservability covers the five pillars with column-level lineage and publishes its price at 99 dollars a month.
How much does Datadog data observability cost?
Datadog now publishes a rate. Its Data Observability product on datadoghq.com/pricing is Jobs Monitoring, and the Clusters plan covering Databricks and Apache Spark starts at 0.05 dollars per host per hour billed annually, or 0.072 dollars on demand; the Databricks Serverless plan is metered per job per hour and shows Contact Us for Pricing. Database Monitoring is separate at 70 dollars per database host per month annually, or 84 on demand, and Data Streams Monitoring has no meter of its own because it ships inside APM Pro at 35 dollars per host per month. Note what that meter counts: pipeline compute time, not tables or monitors. Table-level data quality monitoring still comes through Metaplane, which sells separately from metaplane.dev per monitored table and is not named anywhere on Datadog's pricing page. So the two halves are two products on two meters. Checked September 4, 2026. Dataobservability keeps it simple with a published price: 99 dollars a month for Starter, 299 for Team, 799 for Scale, 14-day trial, no credit card.
What is the best Datadog alternative for data observability?
If you specifically want warehouse data observability without committing to the full Datadog platform, Dataobservability is a close fit: it is built for Snowflake, BigQuery, Databricks, and Redshift, it is dbt-native, it includes column-level lineage and incident tracking, and it is self-serve at a public price. Datadog remains the better choice when you want data monitoring unified with infrastructure and APM under one vendor.
Is Datadog observability the same as data observability?
No, and the overlap in the name causes real confusion. Datadog built its business on infrastructure, APM and log observability, which answers whether systems are running. Data observability answers whether the data those systems produced is correct, covering freshness, volume, schema, distribution and lineage. A pipeline can complete successfully and still load wrong numbers. Datadog covers the data side through Metaplane, which it acquired in April 2025, so the two live under one brand but remain different products solving different problems.
How many custom SQL monitors do you get with Datadog data observability?
Because Datadog data observability is Metaplane, the limits are the Metaplane tier limits. Verified in August 2026, the Free plan includes 3 custom SQL monitors with 10 monitored tables and 4 users, Pro includes 5 custom SQL monitors with 100 monitored tables, and Enterprise includes 10 with unlimited tables and users. If your reliability plan depends on a large library of bespoke business logic checks, count them against those numbers before committing, because automatic metadata driven monitors and custom SQL monitors are budgeted separately.
Which data warehouses does Datadog data observability support?
Through Metaplane it connects to Snowflake, BigQuery, Redshift, Databricks, Clickhouse, Postgres, MySQL and SQL Server, plus dbt and the BI layer including Looker, Tableau, Metabase, Mode, Sigma and Power BI, and the connector list is identical across all three tiers. Checked August 2026. Dataobservability focuses on the four cloud warehouses, Snowflake, BigQuery, Databricks and Redshift, and goes deeper on those with column level lineage generated from query history.
Is Datadog the same as Metaplane now?
Datadog acquired Metaplane in April 2025, and Metaplane is how Datadog delivers warehouse data observability. Metaplane is still sold and still has its free tier, but it now sits within Datadog. If you prefer a standalone tool whose whole focus is warehouse reliability, with a published price and no ties to a broader monitoring platform, Dataobservability is the independent alternative.
Other comparisons
See it on your own warehouse
Connect read-only, transparent pricing, no credit card. Decide for yourself.