DataObs
DataObs: Open-source observability for Elasticsearch teams that need lineage, quality, and incident workflows. Ranked #24 of 39 in Data Observability Tools by our editors (6.9/10); pricing: Free plan; best for self-hosting teams comfortable with open source.
At a glance
- Editor score6.9 / 10
- PricingFree plan
- Best forSelf-hosting teams comfortable with open source
- Free planYes
- Paid fromFree
- Facts checked4 Oct 2026
Where it wins
- Freshness, SLA, quality, lineage, and pipeline monitoring in one platform
- Incident alerts, cases, and guided remediation paths support investigations
- OpenTelemetry, OpenLineage, Elasticsearch, and Kibana integrations
Where it doesn't
- Requires self-hosted deployment and Elasticsearch/Kibana ecosystem fit
- Not yet a production release, so production readiness should not be assumed
- Email is the listed support channel, with no other support options specified
Our verdict on DataObs
DataObs is a self-managed, open-source data observability platform built for teams running Elasticsearch. It brings together freshness and SLA monitoring, pluggable data-quality checks, dataset- and column-level lineage, pipeline and stream monitoring, and incident workflows. Platform, data, and business teams can use search-based investigation through Kibana, while self-hosting teams retain control of deployment. Its scope suits small, mid-market, and enterprise organizations that are comfortable operating open-source software.
Its ecosystem fit is a defining consideration. DataObs connects with Elasticsearch and Kibana, plus OpenTelemetry, OpenLineage, Elastic Agent, Fleet, and EDOT. Search-first investigation uses Elasticsearch and Kibana, while lineage and telemetry standards provide paths into existing observability pipelines. Monitoring spans freshness, quality baselines, lineage blast-radius analysis, job health, stream lag, and throughput, giving teams a broad view of data operations rather than a narrow freshness-only monitor. Incident alerts, cases, and guided remediation paths extend that coverage into response workflows.
DataObs has a free, open-source model and self-hosted deployment, with no published software plan prices. That structure may appeal to teams willing to manage infrastructure and integrations directly. The product is under active productisation and is not yet a production release, which makes lifecycle and readiness important evaluation points for production workloads. Teams that already operate Elasticsearch and want an open, specialized observability layer should consider it; organizations seeking a managed service, a broader platform ecosystem, or a production-ready release should look elsewhere.
Your product? Our editors can test DataObs in depth and publish a review, labelled as paid · from $149/mo →
DataObs pricing
DataObs fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Pipeline monitoring | Not verified |
| Freshness monitoring | Yes |
| Schema change detection | Not verified |
| Anomaly detection | Not verified |
| Data lineage | Not verified |
| Deployment | Not verified |
| Deployment | Self-hosted |
| Support | |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 7 integrations: Elasticsearch, Kibana, OpenTelemetry, OpenLineage, Elastic Agent, Fleet … |
| Pricing | Free plan |
| Website | dataobs.co.uk |
| Facts checked | 4 Oct 2026 |
DataObs integrations
DataObs lists 7 integrations on its own site.
- Elasticsearch
- Kibana
- OpenTelemetry
- OpenLineage
- Elastic Agent
- Fleet
- EDOT
Alternatives to DataObs
- Datadog Data ObservabilityA Datadog-native view of data quality, lineage, pipeline jobs, and costs.9.3
- IBM Data Observability by DatabandPipeline-focused observability with lineage, quality alerts, and Airflow integrations.9.1
- Actian Data ObservabilityWarehouse-native monitoring with custom SQL metrics, incident history, and lineage.9.0
See all DataObs alternatives →
Used DataObs? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used DataObs for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
DataObs is listed in our Data Observability Tools directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/dataobs/"><img src="https://www.itechguides.com/best/badge/dataobs.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update