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Top 10 Monte Carlo Alternatives & Competitors

(437)4.4 out of 5

If you are considering Monte Carlo, you may also want to investigate similar alternatives or competitors to find the best solution. Data Observability Software is a widely used technology, and many people are seeking time saving, easy to use software solutions with ai text generation. Other important factors to consider when researching alternatives to Monte Carlo include integration. The best overall Monte Carlo alternative is Acceldata. Other similar apps like Monte Carlo are Anomalo, Datadog, Soda, and Metaplane. Monte Carlo alternatives can be found in Data Observability Software but may also be in Data Quality Tools or Enterprise Monitoring Software.

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Best Paid & Free Alternatives to Monte Carlo

Acceldata
Anomalo
Datadog
Soda
Metaplane
Sifflet
Dynatrace
Databricks Data Intelligence Platform

Top 10 Alternatives to Monte Carlo Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Monte Carlo stacks up to the competition, check reviews from current & previous users in industries like Financial Services, Marketing and Advertising, and Online Media, and find the best product for your business.

Acceldata

By Acceldata

4.4/5

(43)

Product Description

Acceldata Data Observability Cloud (ADOC) is an all-in-one data observability platform that monitors your data, data pipelines, and data infrastructure from the landing zone to consumption zone. Industry leading AI based anomaly detection helps enterprises detect and fix data quality issues at all data hops, monitors end-to-end pipeline health, improves data operations, and optimizes cloud data costs. AI Copilot provides deep and immediate insights into your data operations and provides recommendations to improve. ADOC is used by 3 of top 5 global banks and enterprises such as HCSC, Hershey, PhonePe, Dun & Bradstreet, Pubmatic and others.

Reviewers say compared to Monte Carlo, Acceldata is:

Better at meeting requirements

More usable

Slower to reach roi

Categories in common with Monte Carlo:

By Anomalo

Product Description

Reviewers say compared to Monte Carlo, Anomalo is:

Slower to reach roi

Easier to set up

More usable

Categories in common with Monte Carlo:

By Datadog

Product Description

Reviewers say compared to Monte Carlo, Datadog is:

Slower to reach roi

Better at meeting requirements

Easier to set up

Categories in common with Monte Carlo:

By Soda

Product Description

Soda makes it easy to test data quality early and often in development (Git) and production pipelines. Soda catches problems far upstream, before they wreak havoc on your business. Use Soda to: add data quality tests to your CI/CD pipeline to avoid merging bad-quality data into production; prevent downstream issues by improving your pipeline with integrated data quality tests; and, unite data producers and data consumers to align and define data quality expectations with a human-readable and -writable checks language. You can easily integrate Soda into your data stack, leveraging the Python and REST APIs Teams.

Reviewers say compared to Monte Carlo, Soda is:

Better at meeting requirements

Easier to set up

More usable

Categories in common with Monte Carlo:

By Datadog

Product Description

Reviewers say compared to Monte Carlo, Metaplane is:

Easier to set up

More usable

Better at support

Categories in common with Monte Carlo:

By Sifflet

Product Description

Sifflet is a Full Data Stack Observability platform acting as an overseeing layer to the Data Stack, ensuring that data is reliable from ingestion to consumption. Whether the data is in transit or at rest, Sifflet can detect data quality anomalies, assess business impact, identify the root cause, and alert data teams’ on their preferred channels. All thanks to 50+ quality checks, extensive column-level lineage, and 30+ connectors across the Data Stack. In addition, data discovery is made easy through Sifflet’s information-rich data catalog with a powerful search engine and real-time health statuses.

Reviewers say compared to Monte Carlo, Sifflet is:

More expensive

Easier to set up

More usable

Categories in common with Monte Carlo:

By Dynatrace

Product Description

Dynatrace has redefined how you monitor today’s digital ecosystems. AI-powered, full stack and completely automated, it’s the only solution that provides answers, not just data, based on deep insight into every user, every transaction, across every application. The world’s leading brands trust Dynatrace to optimize customer experiences, innovate faster and modernize IT operations with absolute confidence.

Reviewers say compared to Monte Carlo, Dynatrace is:

Slower to reach roi

Better at meeting requirements

More expensive

Categories in common with Monte Carlo:

Database Monitoring

Databricks Data Intelligence Platform

By Databricks Inc.

4.6/5

(624)

Product Description

Reviewers say compared to Monte Carlo, Databricks Data Intelligence Platform is:

Slower to reach roi

Better at meeting requirements

More usable

Categories in common with Monte Carlo:

By Hightouch

Product Description

Hightouch is the easiest way to sync customer data into your tools like CRMs, email tools, and Ad networks. Sync data from any source (data warehouse, spreadsheets) to 70+ tools, using SQL or a point-and-click UI, without relying on favors from Engineering. For example, you can sync data on how leads are using your product to your CRM so that your sales reps can personalize messages and unlock product-led growth.

Reviewers say compared to Monte Carlo, Hightouch is:

More usable

Easier to set up

Better at meeting requirements

Categories in common with Monte Carlo:

DataOps Platforms