# Top 10 Datafold Alternatives & Competitors
**Average Rating:** 4.5/5
**Total Number of Reviews:** 24
Datafold is not the only option for DataOps Platforms. Explore other competing options and alternatives. DataOps Platforms is a widely used technology, and many people are seeking popular, simple software solutions with data observability, automated workflows, and ai text summarization. Other important factors to consider when researching alternatives to Datafold include integration and features. The best overall Datafold alternative is Monte Carlo. Other similar apps like Datafold are Databricks, Hightouch, Fivetran, and Boost.space. Datafold alternatives can be found in [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) but may also be in [ETL Tools](https://www.g2.com/categories/etl-tools) or [AI Agent Observability Software](https://www.g2.com/categories/ai-agent-observability).


## Best Paid & Free Alternatives to Datafold
  - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [Hightouch](https://www.g2.com/products/hightouch/reviews)
  - [Fivetran](https://www.g2.com/products/fivetran/reviews)
  - [Boost.space](https://www.g2.com/products/boost-space/reviews)
  - [Mezmo](https://www.g2.com/products/mezmo/reviews)
  - [dbt](https://www.g2.com/products/dbt/reviews)
  - [Integrate.io](https://www.g2.com/products/integrate-io/reviews)
  - [OpsPilot](https://www.g2.com/products/opspilot/reviews)
  - [ServiceNow Workflow Data Fabric](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews)

## Top 10 Alternatives to Datafold Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how Datafold stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Banking, and Computer & Network Security, and find the best product for your business.


  ### 1. [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)
By Monte Carlo
**Average Rating:** 4.3/5
**Total Reviews:** 536
Monte Carlo is the first end-to-end solution to prevent broken data pipelines. Monte Carlo’s solution delivers the power of data observability, giving data engineering and analytics teams the ability to solve the costly problem of data downtime.


Reviewers say compared to Datafold, Monte Carlo is:
- Easier to do business with
- More expensive
- Easier to admin
Categories in common with Datafold: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms), [Data Observability](https://www.g2.com/categories/data-observability)

**Compare:** [Datafold vs Monte Carlo](https://www.g2.com/compare/datafold-vs-monte-carlo)
**Compare Monte Carlo with other alternatives:**
- [Monte Carlo vs Databricks](https://www.g2.com/compare/databricks-vs-monte-carlo)
- [Monte Carlo vs Hightouch](https://www.g2.com/compare/hightouch-vs-monte-carlo)
- [Monte Carlo vs Fivetran](https://www.g2.com/compare/fivetran-vs-monte-carlo)
- [Monte Carlo vs Boost.space](https://www.g2.com/compare/boost-space-vs-monte-carlo)
- [Monte Carlo vs Mezmo](https://www.g2.com/compare/mezmo-vs-monte-carlo)
- [Monte Carlo vs dbt](https://www.g2.com/compare/monte-carlo-vs-dbt)
- [Monte Carlo vs Integrate.io](https://www.g2.com/compare/integrate-io-vs-monte-carlo)
- [Monte Carlo vs OpsPilot](https://www.g2.com/compare/monte-carlo-vs-opspilot)
- [Monte Carlo vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/monte-carlo-vs-servicenow-workflow-data-fabric)

  ### 2. [Databricks](https://www.g2.com/products/databricks/reviews)
By Databricks Inc.
**Average Rating:** 4.6/5
**Total Reviews:** 1,366
Making big data simple


Reviewers say compared to Datafold, Databricks is:
- More expensive
- Easier to do business with
- Easier to set up
Categories in common with Datafold: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [Datafold vs Databricks](https://www.g2.com/compare/databricks-vs-datafold)
**Compare Databricks with other alternatives:**
- [Databricks vs Monte Carlo](https://www.g2.com/compare/databricks-vs-monte-carlo)
- [Databricks vs Hightouch](https://www.g2.com/compare/databricks-vs-hightouch)
- [Databricks vs Fivetran](https://www.g2.com/compare/databricks-vs-fivetran)
- [Databricks vs Boost.space](https://www.g2.com/compare/boost-space-vs-databricks)
- [Databricks vs Mezmo](https://www.g2.com/compare/databricks-vs-mezmo)
- [Databricks vs dbt](https://www.g2.com/compare/databricks-vs-dbt)
- [Databricks vs Integrate.io](https://www.g2.com/compare/databricks-vs-integrate-io)
- [Databricks vs OpsPilot](https://www.g2.com/compare/databricks-vs-opspilot)
- [Databricks vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/databricks-vs-servicenow-workflow-data-fabric)

  ### 3. [Hightouch](https://www.g2.com/products/hightouch/reviews)
By Hightouch
**Average Rating:** 4.6/5
**Total Reviews:** 399
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 Datafold, Hightouch is:
- Easier to set up
- Easier to admin
- Easier to do business with
Categories in common with Datafold: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [Datafold vs Hightouch](https://www.g2.com/compare/datafold-vs-hightouch)
**Compare Hightouch with other alternatives:**
- [Hightouch vs Monte Carlo](https://www.g2.com/compare/hightouch-vs-monte-carlo)
- [Hightouch vs Databricks](https://www.g2.com/compare/databricks-vs-hightouch)
- [Hightouch vs Fivetran](https://www.g2.com/compare/fivetran-vs-hightouch)
- [Hightouch vs Boost.space](https://www.g2.com/compare/boost-space-vs-hightouch)
- [Hightouch vs Mezmo](https://www.g2.com/compare/hightouch-vs-mezmo)
- [Hightouch vs dbt](https://www.g2.com/compare/hightouch-vs-dbt)
- [Hightouch vs Integrate.io](https://www.g2.com/compare/hightouch-vs-integrate-io)
- [Hightouch vs OpsPilot](https://www.g2.com/compare/hightouch-vs-opspilot)
- [Hightouch vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/hightouch-vs-servicenow-workflow-data-fabric)

  ### 4. [Fivetran](https://www.g2.com/products/fivetran/reviews)
By Fivetran
**Average Rating:** 4.3/5
**Total Reviews:** 828
Fivetran is an ETL tool, designed to reinvent the simplicity by which data gets into data warehouses.


Reviewers say compared to Datafold, Fivetran is:
- Easier to set up
- Easier to admin
- Easier to do business with
Categories in common with Datafold: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [Datafold vs Fivetran](https://www.g2.com/compare/datafold-vs-fivetran)
**Compare Fivetran with other alternatives:**
- [Fivetran vs Monte Carlo](https://www.g2.com/compare/fivetran-vs-monte-carlo)
- [Fivetran vs Databricks](https://www.g2.com/compare/databricks-vs-fivetran)
- [Fivetran vs Hightouch](https://www.g2.com/compare/fivetran-vs-hightouch)
- [Fivetran vs Boost.space](https://www.g2.com/compare/boost-space-vs-fivetran)
- [Fivetran vs Mezmo](https://www.g2.com/compare/fivetran-vs-mezmo)
- [Fivetran vs dbt](https://www.g2.com/compare/fivetran-vs-dbt)
- [Fivetran vs Integrate.io](https://www.g2.com/compare/fivetran-vs-integrate-io)
- [Fivetran vs OpsPilot](https://www.g2.com/compare/fivetran-vs-opspilot)
- [Fivetran vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/fivetran-vs-servicenow-workflow-data-fabric)

  ### 5. [Boost.space](https://www.g2.com/products/boost-space/reviews)
By Boost.space s.r.o.
**Average Rating:** 4.6/5
**Total Reviews:** 350
Our platform connects to over 2,400 apps to dismantle data silos, creating a single source of truth (SSOT) for all your business data. But unlike passive data warehouses, Boost.space is an active, read-write memory. Our real-time, bidirectional synchronization engine allows AI agents to not only read unified data but also act on it by writing changes back to your toolstack. Simply prompt and watch your business execute.


Reviewers say compared to Datafold, Boost.space is:
- Easier to do business with
- Better at meeting requirements
- Better at support
Categories in common with Datafold: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [Datafold vs Boost.space](https://www.g2.com/compare/boost-space-vs-datafold)
**Compare Boost.space with other alternatives:**
- [Boost.space vs Monte Carlo](https://www.g2.com/compare/boost-space-vs-monte-carlo)
- [Boost.space vs Databricks](https://www.g2.com/compare/boost-space-vs-databricks)
- [Boost.space vs Hightouch](https://www.g2.com/compare/boost-space-vs-hightouch)
- [Boost.space vs Fivetran](https://www.g2.com/compare/boost-space-vs-fivetran)
- [Boost.space vs Mezmo](https://www.g2.com/compare/boost-space-vs-mezmo)
- [Boost.space vs dbt](https://www.g2.com/compare/boost-space-vs-dbt)
- [Boost.space vs Integrate.io](https://www.g2.com/compare/boost-space-vs-integrate-io)
- [Boost.space vs OpsPilot](https://www.g2.com/compare/boost-space-vs-opspilot)
- [Boost.space vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/boost-space-vs-servicenow-workflow-data-fabric)

  ### 6. [Mezmo](https://www.g2.com/products/mezmo/reviews)
By Mezmo
**Average Rating:** 4.6/5
**Total Reviews:** 224
An easy log management system


Reviewers say compared to Datafold, Mezmo is:
- Easier to set up
- Easier to admin
- Easier to do business with
Categories in common with Datafold: [Data Observability](https://www.g2.com/categories/data-observability)

**Compare:** [Datafold vs Mezmo](https://www.g2.com/compare/datafold-vs-mezmo)
**Compare Mezmo with other alternatives:**
- [Mezmo vs Monte Carlo](https://www.g2.com/compare/mezmo-vs-monte-carlo)
- [Mezmo vs Databricks](https://www.g2.com/compare/databricks-vs-mezmo)
- [Mezmo vs Hightouch](https://www.g2.com/compare/hightouch-vs-mezmo)
- [Mezmo vs Fivetran](https://www.g2.com/compare/fivetran-vs-mezmo)
- [Mezmo vs Boost.space](https://www.g2.com/compare/boost-space-vs-mezmo)
- [Mezmo vs dbt](https://www.g2.com/compare/mezmo-vs-dbt)
- [Mezmo vs Integrate.io](https://www.g2.com/compare/integrate-io-vs-mezmo)
- [Mezmo vs OpsPilot](https://www.g2.com/compare/mezmo-vs-opspilot)
- [Mezmo vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/mezmo-vs-servicenow-workflow-data-fabric)

  ### 7. [dbt](https://www.g2.com/products/dbt/reviews)
By Fivetran
**Average Rating:** 4.7/5
**Total Reviews:** 209
dbt is a transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.


Reviewers say compared to Datafold, dbt is:
- Better at meeting requirements
- Easier to set up
- Easier to admin
Categories in common with Datafold: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [Datafold vs dbt](https://www.g2.com/compare/datafold-vs-dbt)
**Compare dbt with other alternatives:**
- [dbt vs Monte Carlo](https://www.g2.com/compare/monte-carlo-vs-dbt)
- [dbt vs Databricks](https://www.g2.com/compare/databricks-vs-dbt)
- [dbt vs Hightouch](https://www.g2.com/compare/hightouch-vs-dbt)
- [dbt vs Fivetran](https://www.g2.com/compare/fivetran-vs-dbt)
- [dbt vs Boost.space](https://www.g2.com/compare/boost-space-vs-dbt)
- [dbt vs Mezmo](https://www.g2.com/compare/mezmo-vs-dbt)
- [dbt vs Integrate.io](https://www.g2.com/compare/integrate-io-vs-dbt)
- [dbt vs OpsPilot](https://www.g2.com/compare/opspilot-vs-dbt)
- [dbt vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/servicenow-workflow-data-fabric-vs-dbt)

  ### 8. [Integrate.io](https://www.g2.com/products/integrate-io/reviews)
By Integrate.io
**Average Rating:** 4.3/5
**Total Reviews:** 213
Integrate.io launched in 2022 when Xplenty, FlyData, Dreamfactory and Intermix.io were brought together to create the Integrate.io platform. Finally use all of your data to get deep insights that drive your go-to-market success. The Integrate.io platform allows you to quickly unify your data for easy analysis to help lower your CAC, increase your ROAS, and deliver deep customer personalization that drive buying habits.


Reviewers say compared to Datafold, Integrate.io is:
- Easier to do business with
- Easier to set up
- Easier to admin
Categories in common with Datafold: [Data Observability](https://www.g2.com/categories/data-observability)

**Compare:** [Datafold vs Integrate.io](https://www.g2.com/compare/datafold-vs-integrate-io)
**Compare Integrate.io with other alternatives:**
- [Integrate.io vs Monte Carlo](https://www.g2.com/compare/integrate-io-vs-monte-carlo)
- [Integrate.io vs Databricks](https://www.g2.com/compare/databricks-vs-integrate-io)
- [Integrate.io vs Hightouch](https://www.g2.com/compare/hightouch-vs-integrate-io)
- [Integrate.io vs Fivetran](https://www.g2.com/compare/fivetran-vs-integrate-io)
- [Integrate.io vs Boost.space](https://www.g2.com/compare/boost-space-vs-integrate-io)
- [Integrate.io vs Mezmo](https://www.g2.com/compare/integrate-io-vs-mezmo)
- [Integrate.io vs dbt](https://www.g2.com/compare/integrate-io-vs-dbt)
- [Integrate.io vs OpsPilot](https://www.g2.com/compare/integrate-io-vs-opspilot)
- [Integrate.io vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/integrate-io-vs-servicenow-workflow-data-fabric)

  ### 9. [OpsPilot](https://www.g2.com/products/opspilot/reviews)
By Intergral
**Average Rating:** 4.8/5
**Total Reviews:** 180
FusionReactor is an Application Performance Monitor for JAVA. No other monitor will help you get to the root of issues faster and make apps more resilient.


Reviewers say compared to Datafold, OpsPilot is:
- Easier to do business with
- Easier to admin
- Easier to set up
Categories in common with Datafold: [Data Observability](https://www.g2.com/categories/data-observability)

**Compare:** [Datafold vs OpsPilot](https://www.g2.com/compare/datafold-vs-opspilot)
**Compare OpsPilot with other alternatives:**
- [OpsPilot vs Monte Carlo](https://www.g2.com/compare/monte-carlo-vs-opspilot)
- [OpsPilot vs Databricks](https://www.g2.com/compare/databricks-vs-opspilot)
- [OpsPilot vs Hightouch](https://www.g2.com/compare/hightouch-vs-opspilot)
- [OpsPilot vs Fivetran](https://www.g2.com/compare/fivetran-vs-opspilot)
- [OpsPilot vs Boost.space](https://www.g2.com/compare/boost-space-vs-opspilot)
- [OpsPilot vs Mezmo](https://www.g2.com/compare/mezmo-vs-opspilot)
- [OpsPilot vs dbt](https://www.g2.com/compare/opspilot-vs-dbt)
- [OpsPilot vs Integrate.io](https://www.g2.com/compare/integrate-io-vs-opspilot)
- [OpsPilot vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/opspilot-vs-servicenow-workflow-data-fabric)

  ### 10. [ServiceNow Workflow Data Fabric](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews)
By ServiceNow
**Average Rating:** 4.3/5
**Total Reviews:** 153
Unify your approach to hyperautomation with API integration and robotic process automation (RPA), all on a single platform. Automate and connect anything to ServiceNow.


Reviewers say compared to Datafold, ServiceNow Workflow Data Fabric is:
- Slower to reach roi
- More expensive
- Easier to admin
Categories in common with Datafold: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [Datafold vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/datafold-vs-servicenow-workflow-data-fabric)
**Compare ServiceNow Workflow Data Fabric with other alternatives:**
- [ServiceNow Workflow Data Fabric vs Monte Carlo](https://www.g2.com/compare/monte-carlo-vs-servicenow-workflow-data-fabric)
- [ServiceNow Workflow Data Fabric vs Databricks](https://www.g2.com/compare/databricks-vs-servicenow-workflow-data-fabric)
- [ServiceNow Workflow Data Fabric vs Hightouch](https://www.g2.com/compare/hightouch-vs-servicenow-workflow-data-fabric)
- [ServiceNow Workflow Data Fabric vs Fivetran](https://www.g2.com/compare/fivetran-vs-servicenow-workflow-data-fabric)
- [ServiceNow Workflow Data Fabric vs Boost.space](https://www.g2.com/compare/boost-space-vs-servicenow-workflow-data-fabric)
- [ServiceNow Workflow Data Fabric vs Mezmo](https://www.g2.com/compare/mezmo-vs-servicenow-workflow-data-fabric)
- [ServiceNow Workflow Data Fabric vs dbt](https://www.g2.com/compare/servicenow-workflow-data-fabric-vs-dbt)
- [ServiceNow Workflow Data Fabric vs Integrate.io](https://www.g2.com/compare/integrate-io-vs-servicenow-workflow-data-fabric)
- [ServiceNow Workflow Data Fabric vs OpsPilot](https://www.g2.com/compare/opspilot-vs-servicenow-workflow-data-fabric)


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