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  5. digna vs Iteratively

digna vs Iteratively

OverviewComparisonAlternatives

Overview

Iteratively
Iteratively
Stacks6
Followers16
Votes0
digna
digna
Stacks1
Followers2
Votes2

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Detailed Comparison

Iteratively
Iteratively
digna
digna

Iteratively helps teams capture reliable product analytics they can trust. It eliminates the most common causes of error during the definition and implementation of tracking plans, and cuts down on the time it takes to correctly instrument the product. As a result, folks that consume product analytics get exactly what they spec'd out and can rely on the incoming data knowing it is trustworthy and accurate.

Is the game-changing European modern data quality platform that effortlessly uncovers anomalies and errors in your data with Artificial Intelligence.

Single source of truth for your product analytics events; Generates a strongly typed library for your analytics with cross-platform support (Typescript, Kotlin, Swift, etc..); Integrates with the 3rd party and custom backends (Amplitude, Mixpanel, Segment, Intercom, etc...); Established best practices for taxonomy and naming convention; Quality assurance built in with code linting and runtime analysis; Generate automatic & beautiful documentation
data validation, BCBS 239 data quality, regulatory data observability, banking data governance, risk reporting data quality, risk aggregation, manipulation anomaly indicators, data lineage insights, data SLA monitoringschema monitoring, schema change detection, new column detection, removed column detection, datatype change detection, schema drift detection, database schema tracking, schema observabilitydata freshness monitoring, data timeliness, late data detection, missing batch detection, data arrival monitoring, delivery timestamp tracking, trigger-based timestamp, SQL-derived timestamp, pipeline latency monitoring, SLA breach alertstimeliness, schema tracker, data analytics, prebuilt data quality rules, 9000+ rules, custom data rules, SQL validation rules, rule engine, conditional data rules, uniqueness checks, range checks, primary key validation, cross-table validation, rule exceptions, severity levelsproject management, trend analysis, time-series analytics, volatility detection, change point detection, long-term data trends, stable dataset detection, unstable dataset detection, pattern recognition, historical data metrics, data profiling analyticsworkspace managementAI anomaly detection, data anomalies, volume anomalies, distribution anomalies, outlier detection, data drift detection, missing values detection, NULL pattern analysis, threshold monitoring, detect data manipulation, early warning signals, automatic anomaly detection, Slack alerts, email alerts, Teams alerts, webhook alerts, role-based access control, RBAC, scheduling inspections, cron scheduling, event-based scheduling, CLI access, API access, SSO integration, OIDC, Microsoft SSO, Google SSO, multi-database connectors, on-prem installation, private cloud installation, secure deployment
Statistics
Stacks
6
Stacks
1
Followers
16
Followers
2
Votes
0
Votes
2
Integrations
GitHub
GitHub
Google Analytics
Google Analytics
Slack
Slack
Intercom
Intercom
Segment
Segment
Mixpanel
Mixpanel
Amplitude
Amplitude
Jira
Jira
FullStory
FullStory
Snowplow
Snowplow
No integrations available

What are some alternatives to Iteratively, digna?

Segment

Segment

Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.

Keen

Keen

Keen is a powerful set of API's that allow you to stream, store, query, and visualize event-based data. Customer-facing metrics bring SaaS products to the next level with acquiring, engaging, and retaining customers.

Snowplow

Snowplow

Snowplow is a real-time event data pipeline that lets you track, contextualize, validate and model your customers’ behaviour across your entire digital estate.

Zustand

Zustand

Small, fast and scaleable bearbones state-management solution. Has a comfy api based on hooks, that isn't boilerplatey or opinionated, but still just enough to be explicit and flux-like.

Quickmetrics

Quickmetrics

It is a service for collecting, analyzing and visualizing custom metrics. It can be used to track anything from signups to server response times. Sending events is super simple.

Statsbot

Statsbot

Statsbot is helping you take control of your raw data, providing an all-in-one analysis tool for engineers and non-tech folks alike.

Ahoy

Ahoy

Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps.

Surmado Scout

Surmado Scout

Surmado is AI marketing intelligence for small businesses and agencies. SEO audits, AI visibility testing, and strategic advisory. Reports from $25. API-first. Async webhooks. Stable JSON schema. Built for developers who hate dashboards.

Bitdeli

Bitdeli

Build dashboards and reports with exactly the metrics you need using plain Python scripts. There is nothing new to learn. Bitdeli keeps your results up to date, no matter how much data you have or how complex your metrics are. Get started in minutes with our growing library of open-source analytics, created by experienced data hackers.

Rybbit

Rybbit

Next-gen, open source, lightweight, cookieless web & product analytics for everyone — GDPR/CCPA compliant.

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