# Top 10 DataKitchen DataOps Platform Alternatives & Competitors
**Average Rating:** 5.0/5
**Total Number of Reviews:** 1
The DataOps Platforms solutions below are the most common alternatives that users and reviewers compare with DataKitchen DataOps Platform. DataOps Platforms is a widely used technology, and many people are seeking simple, innovative software solutions with data observability, automated workflows, and ai text summarization. Other important factors to consider when researching alternatives to DataKitchen DataOps Platform include ease of use and reliability. The best overall DataKitchen DataOps Platform alternative is Databricks. Other similar apps like DataKitchen DataOps Platform are Monte Carlo, Fivetran, Hightouch, and Boost.space. DataKitchen DataOps Platform 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 [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution).


## Best Paid & Free Alternatives to DataKitchen DataOps Platform
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)
  - [Fivetran](https://www.g2.com/products/fivetran/reviews)
  - [Hightouch](https://www.g2.com/products/hightouch/reviews)
  - [Boost.space](https://www.g2.com/products/boost-space/reviews)
  - [dbt](https://www.g2.com/products/dbt/reviews)
  - [ServiceNow Workflow Data Fabric](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews)
  - [Keboola](https://www.g2.com/products/keboola/reviews)
  - [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews)
  - [Atlan](https://www.g2.com/products/atlan/reviews)

## Top 10 Alternatives to DataKitchen DataOps Platform Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how DataKitchen DataOps Platform stacks up to the competition, check reviews from current & previous users in industries like Internet, and find the best product for your business.


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


Categories in common with DataKitchen DataOps Platform: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [DataKitchen DataOps Platform vs Databricks](https://www.g2.com/compare/datakitchen-dataops-platform-vs-databricks)
**Compare Databricks with other alternatives:**
- [Databricks vs Monte Carlo](https://www.g2.com/compare/databricks-vs-monte-carlo)
- [Databricks vs Fivetran](https://www.g2.com/compare/databricks-vs-fivetran)
- [Databricks vs Hightouch](https://www.g2.com/compare/databricks-vs-hightouch)
- [Databricks vs Boost.space](https://www.g2.com/compare/boost-space-vs-databricks)
- [Databricks vs dbt](https://www.g2.com/compare/databricks-vs-dbt)
- [Databricks vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/databricks-vs-servicenow-workflow-data-fabric)
- [Databricks vs Keboola](https://www.g2.com/compare/databricks-vs-keboola)
- [Databricks vs IBM StreamSets](https://www.g2.com/compare/databricks-vs-ibm-streamsets)
- [Databricks vs Atlan](https://www.g2.com/compare/atlan-vs-databricks)

  ### 2. [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.


Categories in common with DataKitchen DataOps Platform: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [DataKitchen DataOps Platform vs Monte Carlo](https://www.g2.com/compare/datakitchen-dataops-platform-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 Fivetran](https://www.g2.com/compare/fivetran-vs-monte-carlo)
- [Monte Carlo vs Hightouch](https://www.g2.com/compare/hightouch-vs-monte-carlo)
- [Monte Carlo vs Boost.space](https://www.g2.com/compare/boost-space-vs-monte-carlo)
- [Monte Carlo vs dbt](https://www.g2.com/compare/monte-carlo-vs-dbt)
- [Monte Carlo vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/monte-carlo-vs-servicenow-workflow-data-fabric)
- [Monte Carlo vs Keboola](https://www.g2.com/compare/keboola-vs-monte-carlo)
- [Monte Carlo vs IBM StreamSets](https://www.g2.com/compare/ibm-streamsets-vs-monte-carlo)
- [Monte Carlo vs Atlan](https://www.g2.com/compare/atlan-vs-monte-carlo)

  ### 3. [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.


Categories in common with DataKitchen DataOps Platform: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [DataKitchen DataOps Platform vs Fivetran](https://www.g2.com/compare/datakitchen-dataops-platform-vs-fivetran)
**Compare Fivetran with other alternatives:**
- [Fivetran vs Databricks](https://www.g2.com/compare/databricks-vs-fivetran)
- [Fivetran vs Monte Carlo](https://www.g2.com/compare/fivetran-vs-monte-carlo)
- [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 dbt](https://www.g2.com/compare/fivetran-vs-dbt)
- [Fivetran vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/fivetran-vs-servicenow-workflow-data-fabric)
- [Fivetran vs Keboola](https://www.g2.com/compare/fivetran-vs-keboola)
- [Fivetran vs IBM StreamSets](https://www.g2.com/compare/fivetran-vs-ibm-streamsets)
- [Fivetran vs Atlan](https://www.g2.com/compare/atlan-vs-fivetran)

  ### 4. [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.


Categories in common with DataKitchen DataOps Platform: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [DataKitchen DataOps Platform vs Hightouch](https://www.g2.com/compare/datakitchen-dataops-platform-vs-hightouch)
**Compare Hightouch with other alternatives:**
- [Hightouch vs Databricks](https://www.g2.com/compare/databricks-vs-hightouch)
- [Hightouch vs Monte Carlo](https://www.g2.com/compare/hightouch-vs-monte-carlo)
- [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 dbt](https://www.g2.com/compare/hightouch-vs-dbt)
- [Hightouch vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/hightouch-vs-servicenow-workflow-data-fabric)
- [Hightouch vs Keboola](https://www.g2.com/compare/hightouch-vs-keboola)
- [Hightouch vs IBM StreamSets](https://www.g2.com/compare/hightouch-vs-ibm-streamsets)
- [Hightouch vs Atlan](https://www.g2.com/compare/atlan-vs-hightouch)

  ### 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.


Categories in common with DataKitchen DataOps Platform: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [DataKitchen DataOps Platform vs Boost.space](https://www.g2.com/compare/boost-space-vs-datakitchen-dataops-platform)
**Compare Boost.space with other alternatives:**
- [Boost.space vs Databricks](https://www.g2.com/compare/boost-space-vs-databricks)
- [Boost.space vs Monte Carlo](https://www.g2.com/compare/boost-space-vs-monte-carlo)
- [Boost.space vs Fivetran](https://www.g2.com/compare/boost-space-vs-fivetran)
- [Boost.space vs Hightouch](https://www.g2.com/compare/boost-space-vs-hightouch)
- [Boost.space vs dbt](https://www.g2.com/compare/boost-space-vs-dbt)
- [Boost.space vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/boost-space-vs-servicenow-workflow-data-fabric)
- [Boost.space vs Keboola](https://www.g2.com/compare/boost-space-vs-keboola)
- [Boost.space vs IBM StreamSets](https://www.g2.com/compare/boost-space-vs-ibm-streamsets)
- [Boost.space vs Atlan](https://www.g2.com/compare/atlan-vs-boost-space)

  ### 6. [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.


Categories in common with DataKitchen DataOps Platform: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [DataKitchen DataOps Platform vs dbt](https://www.g2.com/compare/datakitchen-dataops-platform-vs-dbt)
**Compare dbt with other alternatives:**
- [dbt vs Databricks](https://www.g2.com/compare/databricks-vs-dbt)
- [dbt vs Monte Carlo](https://www.g2.com/compare/monte-carlo-vs-dbt)
- [dbt vs Fivetran](https://www.g2.com/compare/fivetran-vs-dbt)
- [dbt vs Hightouch](https://www.g2.com/compare/hightouch-vs-dbt)
- [dbt vs Boost.space](https://www.g2.com/compare/boost-space-vs-dbt)
- [dbt vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/servicenow-workflow-data-fabric-vs-dbt)
- [dbt vs Keboola](https://www.g2.com/compare/keboola-vs-dbt)
- [dbt vs IBM StreamSets](https://www.g2.com/compare/ibm-streamsets-vs-dbt)
- [dbt vs Atlan](https://www.g2.com/compare/atlan-vs-dbt)

  ### 7. [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.


Categories in common with DataKitchen DataOps Platform: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [DataKitchen DataOps Platform vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/datakitchen-dataops-platform-vs-servicenow-workflow-data-fabric)
**Compare ServiceNow Workflow Data Fabric with other alternatives:**
- [ServiceNow Workflow Data Fabric vs Databricks](https://www.g2.com/compare/databricks-vs-servicenow-workflow-data-fabric)
- [ServiceNow Workflow Data Fabric vs Monte Carlo](https://www.g2.com/compare/monte-carlo-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 Hightouch](https://www.g2.com/compare/hightouch-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 dbt](https://www.g2.com/compare/servicenow-workflow-data-fabric-vs-dbt)
- [ServiceNow Workflow Data Fabric vs Keboola](https://www.g2.com/compare/keboola-vs-servicenow-workflow-data-fabric)
- [ServiceNow Workflow Data Fabric vs IBM StreamSets](https://www.g2.com/compare/ibm-streamsets-vs-servicenow-workflow-data-fabric)
- [ServiceNow Workflow Data Fabric vs Atlan](https://www.g2.com/compare/atlan-vs-servicenow-workflow-data-fabric)

  ### 8. [Keboola](https://www.g2.com/products/keboola/reviews)
By Keboola
**Average Rating:** 4.6/5
**Total Reviews:** 142
Keboola is a cloud based data platform that helps clients combine, enhance and publish crucial information for their internal analytics projects and data products.


Categories in common with DataKitchen DataOps Platform: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [DataKitchen DataOps Platform vs Keboola](https://www.g2.com/compare/datakitchen-dataops-platform-vs-keboola)
**Compare Keboola with other alternatives:**
- [Keboola vs Databricks](https://www.g2.com/compare/databricks-vs-keboola)
- [Keboola vs Monte Carlo](https://www.g2.com/compare/keboola-vs-monte-carlo)
- [Keboola vs Fivetran](https://www.g2.com/compare/fivetran-vs-keboola)
- [Keboola vs Hightouch](https://www.g2.com/compare/hightouch-vs-keboola)
- [Keboola vs Boost.space](https://www.g2.com/compare/boost-space-vs-keboola)
- [Keboola vs dbt](https://www.g2.com/compare/keboola-vs-dbt)
- [Keboola vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/keboola-vs-servicenow-workflow-data-fabric)
- [Keboola vs IBM StreamSets](https://www.g2.com/compare/ibm-streamsets-vs-keboola)
- [Keboola vs Atlan](https://www.g2.com/compare/atlan-vs-keboola)

  ### 9. [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews)
By IBM
**Average Rating:** 4.0/5
**Total Reviews:** 116
StreamSets DataOps Platform is an end-to-end data engineering platform to design, deploy, operate and optimize data pipelines to deliver continuous data. StreamSets offers a single pane of glass for batch, streaming, CDC, ETL and ML pipelines with built-in data drift protection for full transparency and control across hybrid, on-premise and multi-cloud environments.


Categories in common with DataKitchen DataOps Platform: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [DataKitchen DataOps Platform vs IBM StreamSets](https://www.g2.com/compare/datakitchen-dataops-platform-vs-ibm-streamsets)
**Compare IBM StreamSets with other alternatives:**
- [IBM StreamSets vs Databricks](https://www.g2.com/compare/databricks-vs-ibm-streamsets)
- [IBM StreamSets vs Monte Carlo](https://www.g2.com/compare/ibm-streamsets-vs-monte-carlo)
- [IBM StreamSets vs Fivetran](https://www.g2.com/compare/fivetran-vs-ibm-streamsets)
- [IBM StreamSets vs Hightouch](https://www.g2.com/compare/hightouch-vs-ibm-streamsets)
- [IBM StreamSets vs Boost.space](https://www.g2.com/compare/boost-space-vs-ibm-streamsets)
- [IBM StreamSets vs dbt](https://www.g2.com/compare/ibm-streamsets-vs-dbt)
- [IBM StreamSets vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/ibm-streamsets-vs-servicenow-workflow-data-fabric)
- [IBM StreamSets vs Keboola](https://www.g2.com/compare/ibm-streamsets-vs-keboola)
- [IBM StreamSets vs Atlan](https://www.g2.com/compare/atlan-vs-ibm-streamsets)

  ### 10. [Atlan](https://www.g2.com/products/atlan/reviews)
By Atlan
**Average Rating:** 4.5/5
**Total Reviews:** 134
Atlan is a Modern Data Workspace with the vision to enable data democratization within organizations, while maintaining the highest standards of governance and security. The diverse users of today’s modern data team, ranging from data engineers to business users, come together to collaborate on Atlan. By enabling data discovery, context sharing, governance, and security, data teams using Atlan are able to free upwards of 30% of their time—replacing manual, repetitive tasks with automation and minimizing dependency on IT. Teams using Atlan have been able to improve time to insight by 60X and create 100 additional data projects in a single quarter!


Categories in common with DataKitchen DataOps Platform: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)

**Compare:** [DataKitchen DataOps Platform vs Atlan](https://www.g2.com/compare/atlan-vs-datakitchen-dataops-platform)
**Compare Atlan with other alternatives:**
- [Atlan vs Databricks](https://www.g2.com/compare/atlan-vs-databricks)
- [Atlan vs Monte Carlo](https://www.g2.com/compare/atlan-vs-monte-carlo)
- [Atlan vs Fivetran](https://www.g2.com/compare/atlan-vs-fivetran)
- [Atlan vs Hightouch](https://www.g2.com/compare/atlan-vs-hightouch)
- [Atlan vs Boost.space](https://www.g2.com/compare/atlan-vs-boost-space)
- [Atlan vs dbt](https://www.g2.com/compare/atlan-vs-dbt)
- [Atlan vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/atlan-vs-servicenow-workflow-data-fabric)
- [Atlan vs Keboola](https://www.g2.com/compare/atlan-vs-keboola)
- [Atlan vs IBM StreamSets](https://www.g2.com/compare/atlan-vs-ibm-streamsets)


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