A data and AI observability platform, often called the pioneer of 'data downtime' monitoring — it watches your pipelines and AI agents in production and tells you when something breaks before your users or your boss notices.
montecarlo.ai
Alternatives to
Digna
Best alternatives to Digna in 2026
A lot of data observability tools work by pulling a copy of your data into their own system to analyze it, which raises questions about where sensitive data ends up and adds latency. Digna takes a different approach: it runs its statistical and machine learning anomaly detection in-database, directly where your data already lives, which matters for organizations in finance, healthcare, or the public sector where data residency and access control are non-negotiable. The platform is split into five modules — anomaly detection, analytics, timeliness, validation, and schema tracking — and can deploy in a private cloud or fully on-premise for organizations that can't use a public SaaS product for compliance reasons. Pricing follows a base-fee-plus-per-table model: you pay to unlock the platform, then a per-table rate as you activate monitoring on more of your database, with Digna explicitly advertising no hidden platform or API fees layered on top.
Quick comparison of Digna alternatives
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Entreprises moyennes à grandes gérant pipelines de données et agents IA en production | — | |
| 2 | Entreprises avec données critiques et initiatives IA actives | — | |
| 3 | Équipes data enterprise (finance, telecom, retail, healthcare, media, énergie) | — | |
| 4 | Équipes FinOps, DevOps, Finance IT et direction d'entreprise | — | |
| 5 | Équipes data engineering et governance, entreprises moyennes à grandes | — | |
| 6 | Développeurs et éditeurs SaaS embarquant de l'analytique dans leurs produits, y compris secteurs régulés | — | |
| 7 | Ingénieurs données, responsables FinOps/observabilité cloud, directeurs data en entreprise | — | |
| 8 | Équipes produit SaaS voulant réduire les coûts d'infrastructure analytics | — | |
| 9 | Équipes data et business utilisant des data warehouses cloud, cherchant du self-service analytics gouverné | — | |
| 10 | Data engineers et analytics engineers utilisant Python, Jupyter et orchestrateurs de données | — | |
| 11 | Entreprises moyennes à grandes (software, finance, santé, e-commerce) | — | |
| 12 | Équipes développement, product et data cherchant à embarquer des analytics dans leur produit | — |
#1
- ✓ Pioneer and market leader in 'data downtime' observability
- ✓ Now covers both data pipelines and production AI agents
#2
A data observability platform focused on lineage, anomaly detection, and sensitive-data discovery, positioned as an 'AI trust platform' that helps enterprises verify data is safe and reliable enough to feed into AI systems.
bigeye.com
- ✓ Combines data lineage, anomaly detection, and sensitive-data discovery
- ✓ Real-time access policy enforcement, not periodic audits
#3
A data quality platform that uses AI to automatically learn what 'normal' looks like in your tables and flags anomalies — without anyone having to write manual validation rules for every column.
anomalo.com
- ✓ AI learns normal data patterns without manual rule-writing
- ✓ Scales to thousands of tables where manual rules can't keep up
#4
A cloud cost management platform that gives finance, DevOps, and leadership a shared, accurate picture of where cloud money is actually going — down to 100% of costs allocated to teams or features — instead of finance and engineering arguing over spreadsh
apptio.com
- ✓ 100% cost allocation gives finance, DevOps, and leadership shared numbers
- ✓ Track record of ~30%+ average cloud cost reduction
#5
A data quality platform built around 'data contracts' — explicit, collaborative agreements about what a dataset should look like — with AI that detects, explains, and can automatically fix anomalies when they break.
soda.io
- ✓ Real free tier with usage-based limits (SPUs), no sales call required
- ✓ Published Team pricing ($750/month) — rare transparency in this category
#6
An established embedded analytics platform that lets software companies build dashboards and AI-generated insights directly into their own applications, with a 7-day free trial and full enterprise support for regulated industries.
sisense.com
- ✓ Established, mature platform with a long track record
- ✓ Strong compliance credentials for regulated industries (healthcare, fintech)
#7
An AI agent that watches your Snowflake, BigQuery, or Databricks bill and your data quality at the same time, flagging wasted spend and broken pipelines before they become a surprise invoice or a bad dashboard.
revefi.com
- ✓ Combines cost/FinOps monitoring and data quality in one agent
- ✓ Free Starter tier for orgs under $50K/year in data spend
#8
An embedded analytics platform built for SaaS companies that want to give their customers dashboards and self-service reporting inside the product, priced as a flat annual fee instead of per-seat or per-query.
qrvey.com
- ✓ Flat annual fee — no per-seat, per-query, or per-tenant charges
- ✓ Ultra tier includes a built-in data engine, no separate warehouse needed
#9
A business intelligence platform that lets you explore data through chat, dashboards, raw SQL, or a spreadsheet-like interface — all pointed at the same governed set of metrics — and can be embedded directly into your own product.
omni.co
- ✓ Multiple ways to explore the same governed data (chat, SQL, dashboard, spreadsheet)
- ✓ Built for embedding analytics into your own product from day one
#10
The most widely used open-source tool for writing data quality checks in Python — you define what your data should look like as code, and it validates every pipeline run against those expectations automatically.
greatexpectations.io
- ✓ Free and open-source (Apache 2.0 license) for the core library
- ✓ Large, established community (11,000+ practitioners)
#11
An AI-enabled analytics platform for embedding dashboards and AI-assisted insights into other software products, priced per workspace rather than per user, with a free-to-start Professional tier.
gooddata.ai
- ✓ Priced per workspace, not per user — favorable for high-user-count deployments
- ✓ Unlimited users and data on the Professional tier
#12
A toolkit for adding real analytics dashboards inside your own product — as a native web component, not a clunky iframe — so your customers get charts and self-service reports without you building a BI engine from scratch.
embeddable.com
- ✓ Native web component embedding, not a clunky iframe
- ✓ Handles multi-tenant security and permissions out of the box
FAQ about Digna alternatives
- What is the best alternative to Digna in 2026?
- Based on our selection, Monte Carlo is the best alternative to Digna in 2026. A data and AI observability platform, often called the pioneer of 'data downtime' monitoring — it watches your pipelines and AI agents in production and tells you when something breaks before your users or your boss notices.. See our full ranking above to compare all options.
- Is Digna free?
- Digna is a paid tool. Several alternatives in our selection offer free or freemium versions.
- How many alternatives to Digna are there?
- mySelectas has listed 12 alternatives to Digna in the Data & Analytics category. Our selection is updated regularly to include the best options available.