# Best DataOps Platforms

## How Many DataOps Platforms Products Does G2 Track?

**Total Products under this Category:** 130

### Category Stats (Aug 2026)

- **Average Rating:** 4.58/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Atlan (+0.07%) - Among all products in this category, Atlan recorded the largest rating increase compared to last month

_Last updated: August 21, 2026_

## How Does G2 Rank DataOps Platforms Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 6,400+ Authentic Reviews
- 130+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for DataOps Platforms
 ![G2 Grid® for DataOps Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/dataops-platforms/grids.png?focus%5B%5D=10470&focus%5B%5D=23920&focus%5B%5D=1208609&focus%5B%5D=1642761&focus%5B%5D=148877&focus%5B%5D=1243833&focus%5B%5D=142449&focus%5B%5D=51147)

Highlighted products: Databricks, Fivetran, ServiceNow Workflow Data Fabric, Flip, dbt, 5X, Monte Carlo, and Astro by Astronomer.

Underlying data: [Grid® JSON](https://www.g2.com/categories/dataops-platforms/grids.json?focus%5B%5D=databricks&focus%5B%5D=fivetran&focus%5B%5D=servicenow-workflow-data-fabric&focus%5B%5D=kanerika-flip&focus%5B%5D=dbt&focus%5B%5D=5x&focus%5B%5D=monte-carlo&focus%5B%5D=astro-by-astronomer)

**Sponsored**

### Amazon Redshift

Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=2686&secure%5Bchosen_at%5D=2026-08-28T21%3A45%3A26Z&secure%5Bdisplayable_resource_id%5D=2686&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2686&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=10898&secure%5Bresource_id%5D=2686&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdataops-platforms&secure%5Btoken%5D=a716c9f21b139bc96ce649e30da8db4fe71625f241bb5958680ba57f0eb0e99e&secure%5Burl%5D=https%3A%2F%2Faws.amazon.com%2Fredshift%2F%3Ftrk%3Dde302eb2-ad94-4a9b-8ef9-3610f836bf6a%26sc_channel%3Ddisplay%2Bads&secure%5Burl_type%5D=custom_url)

### [Databricks](https://www.g2.com/products/databricks/reviews)

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.

**Average Rating:** 4.6/5.0

**Total Reviews:** 1,332

#### How Do G2 Users Rate Databricks?

- **Data Observability:** 8.7/10 (Category avg: 9.0/10)
- **Testing capabilities:** 8.7/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.8/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### Who Is the Company Behind Databricks?

- **Seller:** [Databricks Inc.](https://www.g2.com/sellers/databricks-inc)
- **Company Website:** databricks.com
- **Year Founded:** 2013
- **HQ Location:** San Francisco, CA
- **Twitter:** @databricks  
92,269 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bddca64732f61b923d96364e8c8eb35711aab4f98797cb00ab071ff24fbdd392&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3477522%2F&secure%5Burl_type%5D=linkedin_company_website)  
15,627 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Data Analyst
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 47% Large, 38% Medium

#### What Do G2 Reviewers Say About Databricks?

_AI-generated summary from verified user reviews_

##### Pros

- Users enjoy the **ease of use and extensive features** of Databricks, streamlining data warehousing and machine learning tasks.
- Users appreciate the **ease of use** of Databricks, enhancing their experience with its intuitive interface and efficient features.
- Users value the **seamless integrations with AWS services** that enhance efficiency and support diverse business needs.
- Users value the **seamless collaboration** provided by Databricks, enhancing teamwork on data projects and insights sharing.
- Users value the **wide array of integrated analytical features** in Databricks, enhancing efficiency and collaboration in data projects.

##### Cons

- Users face a **steep learning curve** with Databricks, as its complexity can be confusing for newcomers.
- Users note that the **cost of Databricks can be quite high** , particularly for large data projects and limited free options.
- Users find the **steep learning curve** of Databricks challenging, particularly for those unfamiliar with big data tools.
- Users find the **complexity** of Databricks challenging, especially during initial setup and navigation of advanced features.
- Users encounter **complex setup** challenges with Databricks initially, but support helps resolve issues quickly.

#### What Are Recent G2 Reviews of Databricks?

**["Reliable Platform for Building Scalable Data Pipelines"](https://www.g2.com/survey_responses/databricks-review-13198355)**

**Rating:** 5.0/5.0 stars

_— aravind k._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13198355)

**["Databricks Streamlines ETL and Analytics with Scalable Notebooks"](https://www.g2.com/survey_responses/databricks-review-13181721)**

**Rating:** 5.0/5.0 stars

_— Diana C._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13181721)

#### What Are G2 Users Discussing About Databricks?

- [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments, 1 upvote
- [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments
- [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 3 upvotes
- [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes

### [Fivetran](https://www.g2.com/products/fivetran/reviews)

Fivetran is the data foundation for AI. One platform moves, manages, and transforms data from every application, database, event stream, and file your business runs on into a governed foundation that analytics, operations, and AI can act on. Connectors deploy in minutes, run themselves, and adjust automatically when a source changes, so your data team spends its time building, not maintaining pipelines.

**Average Rating:** 4.3/5.0

**Total Reviews:** 811

#### How Do G2 Users Rate Fivetran?

- **Data Observability:** 8.4/10 (Category avg: 9.0/10)
- **Testing capabilities:** 8.7/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.0/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### Who Is the Company Behind Fivetran?

- **Seller:** [Fivetran](https://www.g2.com/sellers/fivetran)
- **Company Website:** www.fivetran.com
- **Year Founded:** 2012
- **HQ Location:** Oakland, CA
- **Twitter:** @fivetran  
5,767 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7f1ca0a984cd3b7fe678e6cf023235ee7978629644faf3910a5df7f92b63eea3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffivetran%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,848 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Data Analyst
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 59% Medium, 27% Small

#### What Do G2 Reviewers Say About Fivetran?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of integration and maintenance** with Fivetran, enhancing their ROI and workflow efficiency.
- Users value the **easy setup** of Fivetran, appreciating its seamless integration with existing applications.
- Users value the **easy integration** of Fivetran, seamlessly connecting with existing applications and enhancing data access.
- Users value the **responsive customer support** from Fivetran, enhancing their overall experience and satisfaction.
- Users appreciate the **intuitive and simple layout** of Fivetran, making data management efficient and accessible.

##### Cons

- Users report experiencing **sync issues** that disrupt functionality, causing unpredictable failures and complications in workflow management.
- Users find Fivetran's **pricing to be quite expensive** , which limits accessibility and flexibility for wider usage.
- Users face **integration issues** with Fivetran, particularly regarding schema ownership and modifying connections amidst platform changes.
- Users find the **learning curve steep** , requiring technical knowledge to navigate Fivetran effectively at first.
- Users find Fivetran's **pricing issues** hinder accessibility and flexibility, making it less feasible for broader use.

#### What Are Recent G2 Reviews of Fivetran?

**["No-Code, Self-Monitoring Pipelines with Connectors That Just Work"](https://www.g2.com/survey_responses/fivetran-review-13137995)**

**Rating:** 5.0/5.0 stars

_— Umesh ._

[Read full review](https://www.g2.com/survey_responses/fivetran-review-13137995)

**["Fast, Reliable No-Code Data Integrations with Huge ROI"](https://www.g2.com/survey_responses/fivetran-review-13138238)**

**Rating:** 4.5/5.0 stars

_— Jose Maria P._

[Read full review](https://www.g2.com/survey_responses/fivetran-review-13138238)

#### What Are G2 Users Discussing About Fivetran?

- [What is Fivetran used for?](https://www.g2.com/discussions/fivetran-what-is-fivetran-used-for) - 1 comment
- [What is Census used for?](https://www.g2.com/discussions/what-is-census-used-for)
- [Who owns Fivetran?](https://www.g2.com/discussions/who-owns-fivetran)
- [How much does Fivetran cost?](https://www.g2.com/discussions/how-much-does-fivetran-cost) - 1 comment
- [Is Fivetran an ETL tool?](https://www.g2.com/discussions/is-fivetran-an-etl-tool) - 2 comments

### [ServiceNow Workflow Data Fabric](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews)

Workflow Data Fabric is the AI‑ready data foundation of the ServiceNow AI Platform. It connects to any data—structured, unstructured, and streaming—contextualizes it with business meaning and governance, and controls it with lineage and policies so employees and AI agents can confidently act on real‑time information to prevent disruptions, resolve requests faster, and optimize operations—all on one platform. How Workflow Data Fabric turns data into instant action Connect Unify data from systems like Salesforce, SAP, Workday, data lakes, and event streams in real time without duplication or fragile point‑to‑point integrations. With Zero Copy Connectors, Stream Connect, External Content Connectors, and Integration Hub, Workflow Data Fabric simplifies architecture and cuts integration cost and time. Contextualize Give data business meaning and make it trustworthy with an active Data Catalog, embedded governance, and lineage. Use Knowledge Graph to map relationships (e.g., customers, assets, orders) so AI agents and workflows understand context and make accurate decisions in the flow of work. Control Apply policies, permissions, and compliance guards across connected sources so the right people and AI agents access the right data, at the right time, with full auditability and traceability—no more shadow copies or opaque pipelines.

**Average Rating:** 4.3/5.0

**Total Reviews:** 150

#### How Do G2 Users Rate ServiceNow Workflow Data Fabric?

- **Data Observability:** 8.3/10 (Category avg: 9.0/10)
- **Testing capabilities:** 8.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.0/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### Who Is the Company Behind ServiceNow Workflow Data Fabric?

- **Seller:** [ServiceNow](https://www.g2.com/sellers/servicenow)
- **Company Website:** www.servicenow.com
- **Year Founded:** 2004
- **HQ Location:** Santa Clara, CA
- **Twitter:** @servicenow  
55,548 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8f146dd2da6255ae21db2f89043b268912043fe250660dfee40ba3c0574bb1ba&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F29352%2F&secure%5Burl_type%5D=linkedin_company_website)  
35,081 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 45% Large, 30% Medium

#### What Do G2 Reviewers Say About ServiceNow Workflow Data Fabric?

_AI-generated summary from verified user reviews_

##### Pros

- Users find **ServiceNow's ease of use** enhances workflow management, allowing seamless integration and automation with minimal effort.
- Users value the **seamless integrations** of ServiceNow Workflow Data Fabric, enhancing collaboration and streamlining processes across departments.
- Users appreciate the **low-code automation** of ServiceNow Workflow Data Fabric, simplifying integrations and enhancing workflow management.
- Users value the **efficiency improvement** from ServiceNow Workflow Data Fabric, enhancing operations and reducing manual effort significantly.
- Users value the **unified data access** of ServiceNow Workflow Data Fabric, enhancing efficiency and simplifying decision-making across workflows.

##### Cons

- Users find the **complex setup** of ServiceNow Workflow Data Fabric challenging, requiring significant time and expertise for proper configuration.
- Users find the **difficult setup** of ServiceNow Workflow Data Fabric time-consuming and challenging, impacting accessibility and integration.
- Users find the pricing **quite expensive** , making it challenging for smaller teams to justify the costs.
- Users experience **slow performance** when handling large datasets, impacting efficiency and responsiveness during data operations.
- Users find the **complexity** of learning and managing features in ServiceNow Workflow Data Fabric challenging for new users.

#### What Are Recent G2 Reviews of ServiceNow Workflow Data Fabric?

**["Zero-Copy, Real-Time Intelligence with ServiceNow Workflow Data Fabric"](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12543653)**

**Rating:** 4.5/5.0 stars

_— Younesse H._

[Read full review](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12543653)

**["Zero-Copy Virtualization Makes Live Data Querying Across Sources Effortless"](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-13225290)**

**Rating:** 4.0/5.0 stars

_— Kate D._

[Read full review](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-13225290)

### [Flip](https://www.g2.com/products/kanerika-flip/reviews)

FLIP by Kanerika is an AI-powered, low-code/no-code platform that automates enterprise workflows, streamlines data operations, and accelerates migrations — all without the need for technical expertise. It empowers teams to modernize faster, reduce manual effort, and focus on business outcomes. Key Capabilities: Automated Data Reconciliation Low-Code/No-Code DataOps Migration Accelerators AI Workforce Accounts Payable Automation FLIP helps organizations simplify data management, enhance accuracy, and accelerate digital transformation across industries.

**Average Rating:** 5.0/5.0

**Total Reviews:** 13

#### How Do G2 Users Rate Flip?

- **Data Observability:** 9.2/10 (Category avg: 9.0/10)
- **Testing capabilities:** 10.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 10.0/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 3.3/10 (Category avg: 10/10)

#### Who Is the Company Behind Flip?

- **Seller:** [Kanerika](https://www.g2.com/sellers/kanerika)
- **Year Founded:** 2015
- **HQ Location:** Austin, Texas, United States
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f20f02d3c38235e17873db4e5f41263bac0b1ac3352b789d5b8188caf9ced2f4&secure%5Burl%5D=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkanerika&secure%5Burl_type%5D=linkedin_company_website)  
308 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Co-Founder
- **Top Industries:** Computer Software
- **Company Size:** 92% Small, 23% Medium

#### What Do G2 Reviewers Say About Flip?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **real-time tracking integration** , enhancing customer service and operational efficiency in their logistics processes.
- Users highlight the **ease of use** of Flip, enabling quick setup and efficient workflow automation for non-technical members.
- Users love the **fast processing** of Flip, drastically reducing time spent on data extraction and enhancing operational efficiency.
- Users value the **data syncing capabilities** of FLIP, enhancing efficiency and reliability in operations and customer service.
- Users love the **customization options** in Flip, allowing tailored solutions for diverse business needs and workflows.

##### Cons

- Users face a **complex setup** process, often experiencing delays with initial data model configurations and custom connectors.
- Users note that FLIP is **expensive** and implementation times can significantly exceed initial estimates, impacting planning.
- Users experience a **steep learning curve** with Flip, finding initial navigation and advanced features challenging without adequate training.
- Users note several **missing features** in Flip, including the need for enhanced templates and improved reporting visuals.
- Users experience **integration issues** with smaller retailers and inconsistent data feeds, impacting overall efficiency and performance.

#### What Are Recent G2 Reviews of Flip?

**["FLIP Delivers Fast, Automated Retail Reporting for New SKU Performance"](https://www.g2.com/survey_responses/flip-review-12253012)**

**Rating:** 5.0/5.0 stars

_— Milko L._

[Read full review](https://www.g2.com/survey_responses/flip-review-12253012)

**["FLIP Made Data Validation and Testing Far Less Painful"](https://www.g2.com/survey_responses/flip-review-12253639)**

**Rating:** 5.0/5.0 stars

_— Loic Le P._

[Read full review](https://www.g2.com/survey_responses/flip-review-12253639)

### [dbt](https://www.g2.com/products/dbt/reviews)

dbt is a transformation workflow that lets data 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.

**Average Rating:** 4.7/5.0

**Total Reviews:** 208

#### How Do G2 Users Rate dbt?

- **Data Observability:** 8.7/10 (Category avg: 9.0/10)
- **Testing capabilities:** 8.9/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.0/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### Who Is the Company Behind dbt?

- **Seller:** [Fivetran](https://www.g2.com/sellers/fivetran)
- **Year Founded:** 2012
- **HQ Location:** Oakland, CA
- **Twitter:** @fivetran  
5,767 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7f1ca0a984cd3b7fe678e6cf023235ee7978629644faf3910a5df7f92b63eea3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffivetran%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,848 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Analytics Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 56% Medium, 27% Small

#### What Do G2 Reviewers Say About dbt?

_AI-generated summary from verified user reviews_

##### Pros

- Users find dbt's **ease of use** exceptional, with straightforward setup and intuitive features enhancing their data transformation processes.
- Users appreciate the **maintainability and clarity** of dbt's SQL code base, enhancing collaboration and data transformations.
- Users value the **automation of data workflows** with dbt, enhancing maintainability and collaboration in SQL transformations.
- Users love the **ease of transforming data with dbt** , allowing for organized and efficient analytics workflows.
- Users value the **data quality** of dbt, praising its effectiveness in ensuring data integrity and operational efficiency.

##### Cons

- Users find that dbt has **limited functionality** due to rigidness and complex debugging, hindering project progress.
- Users face **dependency issues** in dbt, as model errors and upstream changes complicate troubleshooting and disrupt workflows.
- Users find the **steep learning curve** of dbt daunting, needing mastery of concepts like Jinja and Git.
- Users encounter **poor error handling** with unclear messages, making troubleshooting frustrating and complicating the user experience.
- Users often face **confusing error reporting** and unclear messages, making troubleshooting and identifying issues challenging.

#### What Are Recent G2 Reviews of dbt?

**["dbt Streamlines Data Pipelines with Powerful Incremental and SCD2 Features"](https://www.g2.com/survey_responses/dbt-review-12712114)**

**Rating:** 5.0/5.0 stars

_— Hithesh P._

[Read full review](https://www.g2.com/survey_responses/dbt-review-12712114)

**["Simple SQL-Driven Materializations with Powerful Lineage"](https://www.g2.com/survey_responses/dbt-review-12985641)**

**Rating:** 5.0/5.0 stars

_— Anish G._

[Read full review](https://www.g2.com/survey_responses/dbt-review-12985641)

#### What Are G2 Users Discussing About dbt?

- [What is DBT data Modelling?](https://www.g2.com/discussions/what-is-dbt-data-modelling) - 2 comments
- [What is DBT technology?](https://www.g2.com/discussions/what-is-dbt-technology) - 2 comments
- [What is DBT database tool?](https://www.g2.com/discussions/what-is-dbt-database-tool) - 1 comment
- [What is DBT tool used for?](https://www.g2.com/discussions/what-is-dbt-tool-used-for) - 2 comments

### [5X](https://www.g2.com/products/5x/reviews)

5X is an end-to-end data and AI platform. The platform organizes your data regardless of source or format. Whether you have a dedicated data team or not, our platform
transforms fragmented data into actionable insights and apps. The customer feedback we get most often is, "This is self-explanatory," and "It's super easy to use." And that is exactly what our goal was—to create a powerful, all-in-one platform that's incredibly easy to use.  The modern data stack has evolved. It's no longer about stitching together vendors. The next-generation modern data stack is an all-in-one platform that offers speed, simplicity, and decreased cost of ownership. That's exactly what we have created at 5X. Companies use 5X for multiple reasons: 1) Speed & productivity. All-in-one data platforms are incredibly efficient. We've seen companies build use cases on day 1.  Contact us to see if you qualify for a free 48 hour jumpstart! 🚀 2) Decrease your total cost of ownership by 30% compared to building your own platform. This doesn't account the people hours needed to support a platform build 🤯 3) Use our full stack data consultancy for support on data engineering & analytics 👨‍💻 5X was founded in 2020 with presence in the USA, Singapore, UK and India. Our global team is 70+ people strong and rapidly growing. We’ve recently raised our seed round from Flybridge Capital and backed by top founders from companies like Datadog, Preset, Astronomer, Mode, Rudderstack and other prominent angel investors. For more information, visit 5X.co We don't just talk about speed and simplicity; we back it up with proof. Speak to us about our 48-hour jumpstart where we can build an end-to-end use case for you in 48 hours for free.

**Average Rating:** 4.9/5.0

**Total Reviews:** 81

#### How Do G2 Users Rate 5X?

- **Data Observability:** 9.1/10 (Category avg: 9.0/10)
- **Testing capabilities:** 9.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.5/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 6.1/10 (Category avg: 10/10)

#### Who Is the Company Behind 5X?

- **Seller:** [5X](https://www.g2.com/sellers/5x)
- **Year Founded:** 2020
- **HQ Location:** San Francisco
- **Twitter:** @DataWith5x  
49 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=123d4698fdf0b6036b49dc7dd7e99f12fd6c91a432ee93cdc153ec13a4d274d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatawith5x%2F&secure%5Burl_type%5D=linkedin_company_website)  
111 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 56% Medium, 40% Small

#### What Do G2 Reviewers Say About 5X?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of 5X, thanks to its intuitive interface and seamless integration with existing tools.
- Users appreciate the **responsive customer support** of 5X, enhancing their overall experience with swift feature updates.
- Users value the **seamless integration capabilities** of 5X, enhancing efficiency in managing diverse data sources effortlessly.
- Users value the **easy integrations** of 5X, which enhance their data ingestion processes and overall operational efficiency.
- Users value the **seamless integration and intuitive design** of 5X, enabling efficient data management and automation.

##### Cons

- New users face a **steep learning curve** , but training helps ease the transition to the platform's features.
- Users find the **setup process complex** , leading to delays and challenges in implementing advanced features and workflows.
- Users find a **steep learning curve** initially, but become proficient with training and support over time.
- Users find the **difficult setup** of 5X challenging due to complexity and a steep learning curve.
- Users note the **feature limitations** of 5X, as some advanced options are still in development and may require patience.

#### What Are Recent G2 Reviews of 5X?

**["A reliable and scalable data partner"](https://www.g2.com/survey_responses/5x-review-11889175)**

**Rating:** 5.0/5.0 stars

_— Varinderjit K._

[Read full review](https://www.g2.com/survey_responses/5x-review-11889175)

**["Exceptional Support and User-Friendly Platform Driving Our Data Transformation"](https://www.g2.com/survey_responses/5x-review-11903408)**

**Rating:** 4.0/5.0 stars

_— Shuming F._

[Read full review](https://www.g2.com/survey_responses/5x-review-11903408)

### [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)

Monte Carlo is the agent trust platform, trusted by Nasdaq, Cisco, PepsiCo, and hundreds of enterprise organizations worldwide. Founded in 2019 and backed by leading investors, Monte Carlo pioneered data observability and has expanded into the full AI reliability stack. We're consistently ranked #1 in data observability on G2 — and we're built for what comes next. As enterprises scale from dozens to thousands of AI agents across mission-critical use cases, Monte Carlo monitors, troubleshoots, and improves both those agents and the underlying data powering them. Our platform covers the full trust stack — from the data pipelines feeding agents, to the context they retrieve, the decisions they make, and the outputs they produce — across four trust dimensions: context quality, performance, behavior, and outputs. Only Monte Carlo closes the full trust loop across both data and AI, and we meet enterprises wherever they are on the spectrum from human-guided oversight to fully autonomous operations. With 100+ integrations across Snowflake, Databricks, and the rest of your stack, you get full coverage without ripping anything out. Traditional monitoring tools stop at the pipeline or cover only one dimension of reliability — leaving teams to manually investigate, diagnose, and fix failures across disconnected tools. Monte Carlo closes that gap. Teams using Monte Carlo dramatically reduce time to detect and resolve data and AI incidents, scale monitoring coverage without scaling headcount, and build the internal trust that turns AI investments into real business outcomes. If your organization is serious enough about AI to put it in front of customers, executives, and critical decisions — Monte Carlo is the foundation it needs.

**Average Rating:** 4.3/5.0

**Total Reviews:** 532

#### How Do G2 Users Rate Monte Carlo?

- **Data Observability:** 9.2/10 (Category avg: 9.0/10)
- **Testing capabilities:** 7.7/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.3/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### Who Is the Company Behind Monte Carlo?

- **Seller:** [Monte Carlo](https://www.g2.com/sellers/monte-carlo)
- **Company Website:** montecarlo.ai
- **Year Founded:** 2019
- **HQ Location:** San Francisco, US
- **Twitter:** @montecarlo\_ai  
1,576 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fa88c14d2fc26528b6624093818df7cddee0fa28e5893d4f9039d018929480b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmonte-carlo-data%2F&secure%5Burl_type%5D=linkedin_company_website)  
548 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Senior Data Engineer
- **Top Industries:** Financial Services, Computer Software
- **Company Size:** 50% Large, 42% Medium

#### What Do G2 Reviewers Say About Monte Carlo?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **intuitive interface** of Monte Carlo, finding it easy to navigate and utilize effectively.
- Users appreciate the **custom alerts and integration with Teams** , enhancing data monitoring and stakeholder communication efficiently.
- Users value the **effective monitoring** of Monte Carlo, catching data issues early and enhancing stakeholder communication.
- Users value the **custom alerting features** in Monte Carlo for efficiently monitoring and notifying stakeholders about data issues.
- Users value the **ease of setting up alerts and anomaly detection** in Monte Carlo for monitoring data quality.

##### Cons

- Users find the **lack of manual threshold settings** for alerts limiting, impacting customization for their specific needs.
- Users experience **alert overload** due to noisy initial settings, prompting the need for sensitivity adjustments and muted alerts.
- Users find the **inefficient alert system** problematic, with issues in notification messages and usability improvements needed.
- Users find the **UX improvement** necessary due to slow performance and disorganized features leading to confusion.
- Users find **limited functionality** in Monte Carlo, especially regarding custom metrics and alert threshold settings.

#### What Are Recent G2 Reviews of Monte Carlo?

**["Catches data issues before they become business problems"](https://www.g2.com/survey_responses/monte-carlo-review-13371911)**

**Rating:** 5.0/5.0 stars

_— Muhammad Imran H._

[Read full review](https://www.g2.com/survey_responses/monte-carlo-review-13371911)

**["MonteCarlo: A Powerful Tool for Data Observability and Inspection"](https://www.g2.com/survey_responses/monte-carlo-review-9549414)**

**Rating:** 5.0/5.0 stars

_— Pavan S._

[Read full review](https://www.g2.com/survey_responses/monte-carlo-review-9549414)

#### What Are G2 Users Discussing About Monte Carlo?

- [What is your primary use case for Monte Carlo, and how has it impacted your data observability?](https://www.g2.com/discussions/what-is-your-primary-use-case-for-monte-carlo-and-how-has-it-impacted-your-data-observability)
- [What are the characteristics of Monte Carlo simulation?](https://www.g2.com/discussions/what-are-the-characteristics-of-monte-carlo-simulation)
- [What software is used for Monte Carlo simulation?](https://www.g2.com/discussions/what-software-is-used-for-monte-carlo-simulation)
- [What is Monte Carlo method used for?](https://www.g2.com/discussions/what-is-monte-carlo-method-used-for)
- [What is Monte Carlo software?](https://www.g2.com/discussions/what-is-monte-carlo-software) - 1 comment

### [Astro by Astronomer](https://www.g2.com/products/astro-by-astronomer/reviews)

For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Astronomer is the driving force behind Apache Airflow™, the de facto standard for expressing data flows as code. Airflow is downloaded more than 31 million times each month and is used by hundreds of thousands of teams around the world.

**Average Rating:** 4.5/5.0

**Total Reviews:** 135

#### How Do G2 Users Rate Astro by Astronomer?

- **Data Observability:** 8.2/10 (Category avg: 9.0/10)
- **Testing capabilities:** 8.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.0/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### Who Is the Company Behind Astro by Astronomer?

- **Seller:** [Astronomer](https://www.g2.com/sellers/astronomer)
- **Company Website:** www.astronomer.io
- **Year Founded:** 2018
- **HQ Location:** New York, US
- **Twitter:** @astronomerio  
19,697 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14de7865093cbe981bc53aa7236a5a16a9a7e76fb4d0a5b96f23ea594dfac03b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10019299&secure%5Burl_type%5D=linkedin_company_website)  
4,562 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Senior Data Engineer
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 47% Medium, 38% Large

#### What Do G2 Reviewers Say About Astro by Astronomer?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Astro, finding it intuitive and effective for managing complex workflows.
- Users appreciate the **efficiency improvements** of Astro, simplifying workflows and reducing the need for dedicated DevOps resources.
- Users appreciate the **intuitive user interface** of Astro, facilitating easy monitoring and management of complex workflows.
- Users appreciate the **automation capabilities** of Astro by Astronomer, streamlining workflows and enhancing data orchestration.
- Users value the **deployment ease** of Astro by Astronomer, enhancing productivity with simple, reliable, and efficient setups.

##### Cons

- Users highlight that Astro by Astronomer can be quite **expensive** , posing challenges for smaller teams and budget constraints.
- Users note a **steep learning curve** with Astro, requiring significant time for adaptation and training.
- Users find the **steep learning curve** of Astro challenging, requiring extra time for new team members to adapt.
- Users note a **steep learning curve** with Astro, making adaptation challenging for new team members.
- Users note the **feature limitations** of Astro, citing high costs and lack of flexibility compared to self-hosting.

#### What Are Recent G2 Reviews of Astro by Astronomer?

**["Asro literally assists in data engineering work, making it easier and more productive."](https://www.g2.com/survey_responses/astro-by-astronomer-review-8519803)**

**Rating:** 5.0/5.0 stars

_— Lakshminarayanan K._

[Read full review](https://www.g2.com/survey_responses/astro-by-astronomer-review-8519803)

**["Excellent developer and customer experience"](https://www.g2.com/survey_responses/astro-by-astronomer-review-8428848)**

**Rating:** 5.0/5.0 stars

_— Juan Roberto H._

[Read full review](https://www.g2.com/survey_responses/astro-by-astronomer-review-8428848)

#### What Are G2 Users Discussing About Astro by Astronomer?

- [What is your experience with Astro by Astronomer for data orchestration, and what challenges have you faced?](https://www.g2.com/discussions/what-is-your-experience-with-astro-by-astronomer-for-data-orchestration-and-what-challenges-have-you-faced)
- [What is Astro by Astronomer used for?](https://www.g2.com/discussions/what-is-astro-by-astronomer-used-for)

### [Peliqan](https://www.g2.com/products/peliqan/reviews)

Peliqan.io is an all-in-one AI-first data integration and automation platform designed for business teams, scale-ups and consultants. Unlike traditional data tools that demand heavy engineering effort, Peliqan enables both business users and technical teams to connect, manage, and activate their data in one collaborative environment - without requiring a dedicated data engineer. With 300+ built-in connectors, Peliqan connects to databases, SaaS business applications (ERP, CRM, Accounting, HRM/ATS etc.), cloud storage, files and APIs as well as on-prem data sources. New connectors are available on demand within 5 business days. Peliqan offers one-click ELT pipelines to the built-in data warehouse, or you can bring your own data warehouse. Peliqan supports all major data warehouses. Thanks to Peliqan’s Excel add-in, business users and consultants can work with real-time data in Excel. Analysts and power users can use Peliqan’s advanced SQL editor with the support of an AI assistant to transform data and prepare business-ready data sets, which can be used in any BI tool such as Microsoft Power BI, Metabase, Tableau, Qlik, Looker etc. Users can also set up Reverse ETL flows. Developers can go even further with Peliqan’s low-code environment, with a built-in virtual AI Data Engineer, where they can: - Build & Publish interactive data apps - Automate writebacks into source systems - Publish API endpoints for data sharing - Implement custom pipelines - Build out internal AI Agents By empowering business users, analysts, consultants and developers, Peliqan dramatically reduces reliance on IT support and speeds up decision-making. Peliqan is not just an ELT data pipeline tool, it’s a complete solution for data orchestration, automation, and activation. Peliqan also acts as the data foundation for Agentic AI, ensuring that AI agents work with trusted, up-to-date 360° views of customers, products, orders, and more - at the speed of a cloud data warehouse. Peliqan’s data warehouse provides an AI-ready data layer out-of-the-box including: - Automatic vectorizing of structured and non-structured data for RAG (Retrieval-Augmented Generation) - Text-to-SQL - MCP Gateway In today’s landscape, a data warehouse is no longer just for BI - it’s the foundation for both BI and AI. With Peliqan.io, organizations can integrate, analyze, and activate their data seamlessly, empowering both humans and AI agents to make smarter, faster decisions.

**Average Rating:** 4.8/5.0

**Total Reviews:** 85

#### How Do G2 Users Rate Peliqan?

- **Data Observability:** 9.2/10 (Category avg: 9.0/10)
- **Testing capabilities:** 9.6/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.4/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 4.9/10 (Category avg: 10/10)

#### Who Is the Company Behind Peliqan?

- **Seller:** [Peliqan](https://www.g2.com/sellers/peliqan)
- **Company Website:** peliqan.io
- **Year Founded:** 2022
- **HQ Location:** Gent
- **Twitter:** @Peliqan\_io  
9 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ac685f03389350962bf33f4ac2f76b8cf7ed9b7db0a578cb8af2dae9592d04e1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpeliqan-data&secure%5Burl_type%5D=linkedin_company_website)  
29 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 47% Small, 41% Medium

#### What Do G2 Reviewers Say About Peliqan?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Peliqan, enjoying seamless integration and effortless data management processes.
- Users value the **effortless integrations** of Peliqan, enhancing data accessibility and automation in their workflows.
- Users value the **easy integrations** of Peliqan, which streamline workflows and enhance operational efficiency across various platforms.
- Users value the **extensive pre-built connectors** of Peliqan, enabling efficient data integration and faster client onboarding.
- Users value the **real-time data access** and smooth integration capabilities of Peliqan for effective data management.

##### Cons

- Users find the **learning difficulty** of Peliqan challenging, requiring technical expertise for setup and usage.
- Users find Peliqan requires **significant technical skills** for setup and data transformation, limiting accessibility for non-tech users.
- Users highlight **feature limitations** of Peliqan, requiring external tools for complete BI functionality and custom report creation.
- Users find that Peliqan's **steep learning curve** requires expertise for optimal use and initial setup can be time-consuming.
- Users find a **steep learning curve** for non-tech individuals due to required Python, SQL, and machine learning knowledge.

#### What Are Recent G2 Reviews of Peliqan?

**["Shared client data via an API"](https://www.g2.com/survey_responses/peliqan-review-13351674)**

**Rating:** 5.0/5.0 stars

_— Abhishek K._

[Read full review](https://www.g2.com/survey_responses/peliqan-review-13351674)

**["Easy to see downstream impact"](https://www.g2.com/survey_responses/peliqan-review-13283516)**

**Rating:** 5.0/5.0 stars

_— S Dhanraj D._

[Read full review](https://www.g2.com/survey_responses/peliqan-review-13283516)

### [Orchestra](https://www.g2.com/products/orchestra-orchestra/reviews)

Orchestra is a lightweight orchestration and observability platform which gives real-time complete visibility for your entire data stack. We automate your orchestration, monitoring, and metadata collection to allow Data Teams spend less time fixing broken things and more time on what matters: building. Orchestra decouples orchestration from the rest of your stack which allows you to get all the power of a fully-featured workflow orchestrator without any of the pain. Build DAGs, connect up your stack, make a ☕ sit-back and relax The platform removes boilerplate orchestration logic and adds powerful metadata so data teams deliver robust, scalable data products backed by enterprise orchestration and observability. Find our more at: https://www.getorchestra.io/

**Average Rating:** 4.9/5.0

**Total Reviews:** 19

#### How Do G2 Users Rate Orchestra?

- **Data Observability:** 10.0/10 (Category avg: 9.0/10)
- **Testing capabilities:** 10.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.9/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 0.8/10 (Category avg: 10/10)

#### Who Is the Company Behind Orchestra?

- **Seller:** [Orchestra](https://www.g2.com/sellers/orchestra-3e1057dc-7c1d-4451-89a9-a90f17f4ffbd)
- **Year Founded:** 2023
- **HQ Location:** London, GB
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7fbe12ed4df07a58c3140ccd18b02baacb2e867df1dc60dfa4ea05b86959f515&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Forchestra-go&secure%5Burl_type%5D=linkedin_company_website)  
21 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 47% Medium, 32% Small

#### What Do G2 Reviewers Say About Orchestra?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **automation** provided by Orchestra, enhancing efficiency in organizing and deploying data pipelines.
- Users appreciate the **simplicity of data pipelining** in Orchestra, making automation and scheduling effortless for their teams.
- Users find that Orchestra provides **exceptional ease of use** , streamlining data pipeline management and enhancing productivity.
- Users find the **easy setup** of Orchestra a game-changer, streamlining their data pipeline processes efficiently.
- Users value the **efficiency** of Orchestra, streamlining scheduling and data pipelines, allowing teams to focus on their core tasks.

#### What Are Recent G2 Reviews of Orchestra?

**["Orchestra Just Works! Intuitive Setup, Seamless Integrations, and Amazing Support"](https://www.g2.com/survey_responses/orchestra-review-13355835)**

**Rating:** 5.0/5.0 stars

_— João S._

[Read full review](https://www.g2.com/survey_responses/orchestra-review-13355835)

**["Orchestra: Innovative Orchestrator with Unrivaled Customer Partnership"](https://www.g2.com/survey_responses/orchestra-review-13044200)**

**Rating:** 5.0/5.0 stars

_— Christian C._

[Read full review](https://www.g2.com/survey_responses/orchestra-review-13044200)

### [kestra](https://www.g2.com/products/kestra-technologies-kestra/reviews)

Kestra is an open-source workflow orchestration and automation platform that enables organizations to define, schedule, and monitor both event-driven and time-based workflows. It brings Infrastructure-as-Code principles to orchestration, allowing teams to manage processes through YAML definitions or an intuitive user interface. Kestra is designed for data engineers, developers, and DevOps teams who need to automate data pipelines, integrate distributed systems, or coordinate multi-step workflows across hybrid or cloud environments. Core Capabilities Declarative orchestration: Workflows are defined in YAML and automatically synchronized with changes made through the UI or API. Event-driven and scheduled triggers: Supports automation initiated by timers or external events such as file arrivals, API calls, or message queues (Kafka, Redis, Pulsar, AMQP, MQTT, NATS, AWS SQS, Google Pub/Sub, Azure Event Hubs). Visual workflow design: Build and modify workflows directly in the browser with syntax validation, auto-completion, and real-time DAG visualization. Scalability and resilience: Distributed architecture provides high availability, fault tolerance, retries, and backfill management for millions of executions. Plugin ecosystem: Hundreds of integrations for databases, APIs, cloud platforms, and languages including Python, Node.js, Go, R, and Shell. Key Benefits Unified orchestration layer: Manage scheduled and event-based workflows in one system instead of maintaining separate schedulers or automation tools. Version control integration: Workflows can be stored in Git repositories, supporting CI/CD pipelines and Terraform for Infrastructure-as-Code management. Multi-environment flexibility: Deploy locally, in containers, or across Kubernetes clusters and major cloud providers (AWS, GCP, Azure). Observability and notifications: Track executions, manage inputs and outputs, and send alerts via Slack, PagerDuty, or email. Extensibility: Users can develop custom plugins to extend functionality and standardize internal operations. Typical Use Cases Data orchestration: Build and schedule ETL pipelines, batch or streaming data processes, and big-data workflows with tools like Spark and BigQuery. AI and ML automation: Coordinate model training, evaluation, and deployment workflows. Infrastructure automation: Replace cron jobs or legacy schedulers with declarative, event-driven execution. Microservice coordination: Connect APIs and services into reliable end-to-end processes. Getting Started Kestra can be launched locally in one command using Docker or deployed in production environments with Docker Compose, Kubernetes, or AWS CloudFormation. Users can create and run their first “Hello World” workflow in minutes via the built-in editor or API. Community and Support Kestra is distributed under the Apache 2.0 License and maintained by an active open-source community.

**Average Rating:** 4.6/5.0

**Total Reviews:** 24

#### How Do G2 Users Rate kestra?

- **Data Observability:** 9.8/10 (Category avg: 9.0/10)
- **Testing capabilities:** 10.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.6/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 1.7/10 (Category avg: 10/10)

#### Who Is the Company Behind kestra?

- **Seller:** [Kestra Technologies](https://www.g2.com/sellers/kestra-technologies)
- **Year Founded:** 2022
- **HQ Location:** Paris, FR
- **Twitter:** @kestra\_io  
3,146 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=91ac982b361411c4bfe8a244cfe57e8b42fb9bdf6e595743e8e4b3ec5c29e66c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkestra%2F&secure%5Burl_type%5D=linkedin_company_website)  
67 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 83% Small, 8% Medium

#### What Do G2 Reviewers Say About kestra?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **centralized management** of Kestra, enhancing collaboration and streamlining workflow across teams effectively.
- Users commend the **responsive customer support** of Kestra, enhancing their ability to develop and implement workflows effectively.
- Users appreciate the **customization** options in Kestra, facilitating workflow integration and enhancing team collaboration.
- Users commend Kestra for its **exceptional data security** and reliability, significantly enhancing their data automation capabilities.
- Users commend the **excellent documentation** of Kestra, which facilitates easy growth and development for teams.

##### Cons

- Users find the **alert overload** in Kestra's UI overwhelming, complicating task management and filtering efforts.
- Users find the **Logging/Task Runs menu overwhelming** , making it difficult to filter and navigate effectively.

#### What Are Recent G2 Reviews of kestra?

**["Exceptional Orchestration for Resilient, Self-Healing Data Pipelines"](https://www.g2.com/survey_responses/kestra-review-12935633)**

**Rating:** 4.0/5.0 stars

_— Deemanth G._

[Read full review](https://www.g2.com/survey_responses/kestra-review-12935633)

**["The Adamantium to my fragile AI pipeline"](https://www.g2.com/survey_responses/kestra-review-12931708)**

**Rating:** 4.5/5.0 stars

_— Khushal A._

[Read full review](https://www.g2.com/survey_responses/kestra-review-12931708)

### [Hightouch](https://www.g2.com/products/hightouch/reviews)

Hightouch is the leading data and Agentic Marketing Platform for modern marketing teams. Trusted by brands like Domino’s, Autotrader, cars.com, Superhuman (formerly Grammarly), and PetSmart, Hightouch helps marketers deliver personalized experiences, optimize performance, and move faster with data and AI. With Hightouch, business users can drive revenue, grow brand awareness, and maximize ROI without relying on engineering. Hightouch’s Composable Customer Data Platform (CDP), named a Leader in the 2026 Gartner® Magic Quadrant™ for Customer Data Platforms, collects behavioral data, resolves identities into unified Customer 360 profiles, builds audiences, syncs to 300+ destinations (including leading ad platforms), and measures campaign impact—directly from your cloud data warehouse. On top of this foundation, Hightouch’s Agentic Marketing Platform uses your complete data and all of the context from your marketing and advertising tools to power true end-to-end lifecycle and performance marketing across paid and owned channels. Purpose-built agents help you go from analyzing campaign performance, to ideating new campaigns, to generating creative, to building segments and cross-channel journeys, to activating audiences and optimization signals back into your ad platforms and downstream tools—often in minutes instead of weeks. Hightouch is built for security, compliance, and scale. Your data stays in your environment—Hightouch never becomes a system of record—and the platform meets SOC 2 Type II, HIPAA, ISO-27001, GDPR, CCPA, and Privacy Shield standards, so even the most regulated organizations can confidently use customer data to power marketing. This approach gives global teams a single, trusted foundation for activation while preserving strong governance, clear audit trails, and regional data residency requirements.

**Average Rating:** 4.6/5.0

**Total Reviews:** 403

#### How Do G2 Users Rate Hightouch?

- **Data Observability:** 8.4/10 (Category avg: 9.0/10)
- **Testing capabilities:** 8.1/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.2/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### Who Is the Company Behind Hightouch?

- **Seller:** [Hightouch](https://www.g2.com/sellers/hightouch)
- **Company Website:** hightouch.com
- **Year Founded:** 2021
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=41277252bf1385f5946959ae4233f0ce80c128a51c95585d3b6fd16e2b24f128&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhightouchio%2F&secure%5Burl_type%5D=linkedin_company_website)  
573 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 62% Medium, 25% Small

#### What Do G2 Reviewers Say About Hightouch?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **ease of use** of Hightouch, enabling quick data activation and seamless integration with tools.
- Users appreciate the **easy integration** of Hightouch, enabling quick setups and seamless connections to multiple platforms.
- Users value the **effortless setup** of Hightouch, allowing for quick integration and intuitive daily operations.
- Users value the **real-time data synchronization** capabilities of Hightouch, enhancing efficiency for marketing and sales teams.
- Users value the **easy integrations** of Hightouch, enabling smooth setups and intuitive audience segmentation with various platforms.

##### Cons

- Users express concerns about Hightouch being **expensive** , particularly for organizations with large contact volumes and changing conditions.
- Users face **integration issues** with Hightouch, particularly related to debugging HTTP request connectors and handling errors.
- Users find **pricing issues** with Hightouch due to sudden changes and lack of transparent communication, impacting affordability.
- Users often face **syncing issues** that complicate usability, particularly with error messages and list ordering in Hightouch.
- Users experience **sync issues** with unclear error messages, impacting the ease of data transfer between platforms.

#### What Are Recent G2 Reviews of Hightouch?

**["Engineers Can Sync Data Easily with Standard SQL Queries"](https://www.g2.com/survey_responses/hightouch-review-13361161)**

**Rating:** 4.5/5.0 stars

_— joshua a._

[Read full review](https://www.g2.com/survey_responses/hightouch-review-13361161)

**["Hightouch Speeds Insight-to-Execution for Scalable Personalization and Experiments"](https://www.g2.com/survey_responses/hightouch-review-12955025)**

**Rating:** 5.0/5.0 stars

_— Josh M._

[Read full review](https://www.g2.com/survey_responses/hightouch-review-12955025)

#### What Are G2 Users Discussing About Hightouch?

- [What is Hightouch used for?](https://www.g2.com/discussions/what-is-hightouch-used-for) - 1 comment

### [Y42](https://www.g2.com/products/y42-y42/reviews)

Y42’s Turnkey Data Orchestration Platform with embedded Observability gives data practitioners a unified space to reliably build, monitor, and maintain the flow of data to power their business analytics and AI applications. Y42 provides native integration of best-of-breed open-source data tools, comprehensive data governance, and better collaboration for data teams. With Y42, organizations enjoy increased accessibility to data and can make data-driven decisions reliably and efficiently.

**Average Rating:** 4.9/5.0

**Total Reviews:** 21

#### How Do G2 Users Rate Y42?

- **Data Observability:** 9.2/10 (Category avg: 9.0/10)
- **Testing capabilities:** 9.6/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.4/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### Who Is the Company Behind Y42?

- **Seller:** [Y42](https://www.g2.com/sellers/y42-f0288f79-5826-460d-ba84-59d0f8b2f3b3)
- **Year Founded:** 2020
- **HQ Location:** Berlin, DE
- **Twitter:** @y42dotcom  
276 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0c494512505df3c9044017841c104e470de1e8442f1673ef96057c4ddc7958cd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F64543299&secure%5Burl_type%5D=linkedin_company_website)  
21 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 52% Small, 38% Medium

#### What Are Recent G2 Reviews of Y42?

**["dbt on steroids"](https://www.g2.com/survey_responses/y42-review-8967021)**

**Rating:** 5.0/5.0 stars

_— Pierre Z._

[Read full review](https://www.g2.com/survey_responses/y42-review-8967021)

**["Great integrated cloud platform with smooth workflows to build and run data pipelines"](https://www.g2.com/survey_responses/y42-review-8532682)**

**Rating:** 5.0/5.0 stars

_— Max P._

[Read full review](https://www.g2.com/survey_responses/y42-review-8532682)

#### What Are G2 Users Discussing About Y42?

- [What is Y42 used for?](https://www.g2.com/discussions/what-is-y42-used-for)

### [Stonebranch](https://www.g2.com/products/stonebranch/reviews)

The Stonebranch Workload Automation solution, part of our Universal Automation Center platform, helps organizations automate, manage, and orchestrate their IT processes - across hybrid IT environments. 1. Workflow Orchestration and Automation: Holistically control scripts, jobs, tasks, and IT processes running across your on-prem, hybrid cloud, and/or multi-cloud environments. 2. Real-Time Automation: With our event-driven automation technology, it is now possible to achieve real-time automation across your entire hybrid IT environment. 3. Self-Service Automation: With a focus on ease-of-use, you can empower your workforce with self-service automation using member roles and permissions. 4. BI & Analytics: Centralize operational control and insight with proactive monitoring, reporting, and alerts. Product Features: - Drag-and-drop Workflow Creation: You don’t have to be a developer to create automation. Custom scripting is a thing of the past. Easily create workflows with an intuitive drag-and-drop user interface. - DevOps enabled: Align priorities between IT Ops and DevOps with Jobs-as-Code, Infrastructure-as-Code, and bundle-and-promote features. - Limitless 3rd Party Integrations: Integrate into any platform or application from the mainframe to the cloud. Use pre-packaged integrations, build your own, or download integration blueprints from the community-driven opensource marketplace. - Available on-premises or as a SaaS-based deployment, the UAC is a modern platform built to scale with your business.

**Average Rating:** 4.5/5.0

**Total Reviews:** 124

#### How Do G2 Users Rate Stonebranch?

- **Data Observability:** 9.2/10 (Category avg: 9.0/10)
- **Testing capabilities:** 8.9/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.7/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### Who Is the Company Behind Stonebranch?

- **Seller:** [Stonebranch, Inc](https://www.g2.com/sellers/stonebranch-inc)
- **Company Website:** www.stonebranch.com
- **Year Founded:** 1999
- **HQ Location:** Alpharetta, GA
- **Twitter:** @Stonebranch  
1,181 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4a3610c43cb029e7f8cae74e67c190ba2ea6d3137cae0a847558b6afda39aa1b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F71261%2F&secure%5Burl_type%5D=linkedin_company_website)  
176 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Insurance
- **Company Size:** 53% Large, 31% Medium

#### What Do G2 Reviewers Say About Stonebranch?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Stonebranch, enjoying its intuitive design and strong integration capabilities.
- Users appreciate the **intuitive automation** of Stonebranch, enhancing efficiency and simplifying complex workflows seamlessly.
- Users commend the **responsive and helpful support team** of Stonebranch, making implementation and integration smooth and trouble-free.
- Users enjoy the **intuitive workflow automation** of Stonebranch, enhancing productivity through simplified management and easy onboarding.
- Users value the **easy integrations** of Stonebranch, which streamline workflows and enhance connectivity with various tools effectively.

##### Cons

- Users find the **complexity of configurations and integrations** with Stonebranch to be a significant challenge.
- Users find the **difficult learning** curve challenging, needing more comprehensive documentation for a smoother onboarding experience.
- Users struggle with **poor documentation** , making it difficult to navigate advanced configurations and understand various settings effectively.
- Users find the **steep learning curve** challenging, citing overwhelming options and unclear documentation for new administrators.
- Users find the **setup process difficult** and require extensive knowledge to effectively use Stonebranch's features.

#### What Are Recent G2 Reviews of Stonebranch?

**["Automates Job Scheduling with Efficient Conditional Triggers"](https://www.g2.com/survey_responses/stonebranch-review-9722374)**

**Rating:** 4.5/5.0 stars

_— Dhananjaya N._

[Read full review](https://www.g2.com/survey_responses/stonebranch-review-9722374)

**["Outstanding Experience with a Comprehensive Knowledge Base"](https://www.g2.com/survey_responses/stonebranch-review-12006696)**

**Rating:** 5.0/5.0 stars

_— Stephen E._

[Read full review](https://www.g2.com/survey_responses/stonebranch-review-12006696)

#### What Are G2 Users Discussing About Stonebranch?

- [How has Stonebranch supported your IT automation efforts, and what do you recommend for those considering it?](https://www.g2.com/discussions/how-has-stonebranch-supported-your-it-automation-efforts-and-what-do-you-recommend-for-those-considering-it)
- [What is Stonebranch used for?](https://www.g2.com/discussions/what-is-stonebranch-used-for) - 1 comment
- [What does Stonebranch do?](https://www.g2.com/discussions/what-does-stonebranch-do) - 1 comment, 1 upvote
- [What is workload automation software?](https://www.g2.com/discussions/stonebranch-what-is-workload-automation-software) - 1 comment, 1 upvote
- [What is Enterprise Scheduling?](https://www.g2.com/discussions/what-is-enterprise-scheduling) - 1 comment, 1 upvote

### [ILUM](https://www.g2.com/products/ilum-ilum/reviews)

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible.

**Average Rating:** 4.9/5.0

**Total Reviews:** 23

#### How Do G2 Users Rate ILUM?

- **Data Observability:** 10.0/10 (Category avg: 9.0/10)
- **Testing capabilities:** 9.8/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.3/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 7.5/10 (Category avg: 10/10)

#### Who Is the Company Behind ILUM?

- **Seller:** [Ilum](https://www.g2.com/sellers/ilum)
- **Company Website:** ilum.cloud
- **Year Founded:** 2019
- **HQ Location:** Santa Fe, US
- **Twitter:** @IlumCloud  
19 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1fbd1d37d0b9f349ede11be8e26481a08073e5b7f53b306080db734d9789f8fb&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Filum-cloud%2F&secure%5Burl_type%5D=linkedin_company_website)  
4 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Telecommunications
- **Company Size:** 52% Large, 35% Medium

#### What Do G2 Reviewers Say About ILUM?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise ILUM for its **ease of use** , with a clean UI and quick deployment enhancing productivity and workflow.
- Users praise ILUM for its **seamless integration** , user-friendly interface, and excellent customer support, streamlining data management effectively.
- Users value the **seamless integrations** of ILUM, enhancing productivity by connecting various systems and streamlining workflows.
- Users love the **ease of setup** with ILUM, noting quick deployments and user-friendly interfaces that enhance productivity.
- Users value the **easy integrations** of ILUM, enhancing their data workflows and simplifying complex processes effortlessly.

##### Cons

- Users note that the **complex setup** of ILUM can be challenging, requiring time and effort to configure properly.
- Users note the **difficult setup** of ILUM, requiring experimentation and digging for advanced configurations and integrations.
- Users note the **steep learning curve** for new users, though intuitive daily use improves after initial setup.
- Users note that the **UX could be improved** with more intuitive navigation and clearer configuration options.
- Users find ILUM's **complexity in advanced configurations** may require time and effort to fully navigate and optimize.

#### What Are Recent G2 Reviews of ILUM?

**["Seamless Integration and Unified Features for Advanced Users"](https://www.g2.com/survey_responses/ilum-review-11904273)**

**Rating:** 5.0/5.0 stars

_— Jan L._

[Read full review](https://www.g2.com/survey_responses/ilum-review-11904273)

**["From Hadoop to K8s with lower TCO"](https://www.g2.com/survey_responses/ilum-review-11862422)**

**Rating:** 5.0/5.0 stars

_— Mark D._

[Read full review](https://www.g2.com/survey_responses/ilum-review-11862422)

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[Browse DataOps Platforms Themes](/categories/dataops-platforms/themes)

 ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi")
SJ

Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)

Updated October 3, 2024

DataOps platforms act as command centers for DataOps. These solutions orchestrate people, processes, and technology to deliver a trusted data pipeline to their users. DataOps platforms assemble several types of data management software into an individual, integrated environment. Data flows in a simple manner from various data sources. These platforms are used to leverage any analytical tool—from data collection to data reporting via a single integrated platform. The platform unifies all the development and operations in data workflows. DataOps platforms are used to provide the flexibility to support a vast number of existing and new tools, as they are added. Organizations use the platform to control the entire workflow and related processes and ensure data-driven decisions are being made. Cycle times are reduced significantly and users are empowered with a single point of access to manage the data. Companies can leverage DataOps platforms to derive on-demand insights for successful business decisions.

DataOps platforms are primarily used by analytics and data teams within an organization; they are cross-functional and can be used across multiple verticals such as healthcare, finance, and others. IT operation teams can reduce storage infrastructure and increase staff productivity using a DataOps platform. Development and testing teams can decrease development cycles, app development times and reduce errors significantly by using this consolidated platform.

To qualify for inclusion in the DataOps category, a product must:

- Enable collaboration between data providers and data consumers to ensure data fluidity
- Combine different data management practices within a single platform, acting as an end-to-end solution
- Completely automate end-to-end data workflows across the data integration lifecycle
- Provide a dashboard and visualization tools to support data analysis and collaboration between various stakeholders
- Support deployment on any cloud environment

Top Tools at a Glance

| Product | Best for | User Review |
| --- | --- | --- |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image")](https://www.g2.com/products/databricks/reviews)[Databricks](https://www.g2.com/products/databricks/reviews)[4.6/5(1,361)](https://www.g2.com/products/databricks/reviews) | Unified lakehouse DataOps with cross-team collaboration | "Databricks Streamlines ETL and Analytics with Scalable Notebooks" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_da836c06c61c98d4a0795c7cfc3a9a5a/servicenow-workflow-data-fabric.jpg "Product Avatar Image")](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews)[ServiceNow Workflow Data...](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews)[4.3/5(152)](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews) | Zero-copy DataOps inside ServiceNow workflows | "Zero-Copy, Real-Time Intelligence with ServiceNow Workflow Data Fabric" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_243886c2186ae898490a2c283b6d925a/kanerika-flip.png "Product Avatar Image")](https://www.g2.com/products/kanerika-flip/reviews)[Flip](https://www.g2.com/products/kanerika-flip/reviews)[5/5(13)](https://www.g2.com/products/kanerika-flip/reviews) | AI-assisted pipeline validation and DataOps automation | "FLIP Delivers Fast, Automated Retail Reporting for New SKU Performance" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_017ca5b65bc8cc79fa434f2716af16ee/dbt.png "Product Avatar Image")](https://www.g2.com/products/dbt/reviews)[dbt](https://www.g2.com/products/dbt/reviews)[4.7/5(209)](https://www.g2.com/products/dbt/reviews) | SQL-based ELT transformation with version-controlled lineage | "Simple SQL-Driven Materializations with Powerful Lineage" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_14ba2a098676494a780e6f3ec9b76c8d/5x.png "Product Avatar Image")](https://www.g2.com/products/5x/reviews)[5X](https://www.g2.com/products/5x/reviews)[4.9/5(81)](https://www.g2.com/products/5x/reviews) | End-to-end DataOps with unified stack consolidation | "A reliable and scalable data partner" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_1f8ef3ea8e49dda40fdea78ef1ff37b9/monte-carlo.png "Product Avatar Image")](https://www.g2.com/products/monte-carlo/reviews)[Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)[4.3/5(537)](https://www.g2.com/products/monte-carlo/reviews) | ML-driven pipeline anomaly detection and lineage | "MonteCarlo: A Powerful Tool for Data Observability and Inspection" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_0b640d46d69cc67db28b18aee0bfbd8d/astro-by-astronomer.png "Product Avatar Image")](https://www.g2.com/products/astro-by-astronomer/reviews)[Astro by Astronomer](https://www.g2.com/products/astro-by-astronomer/reviews)[4.5/5(136)](https://www.g2.com/products/astro-by-astronomer/reviews) | Managed Airflow orchestration for infrastructure-free pipeline ops | "Excellent developer and customer experience" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_153746b40b6c63da571a4fbb5158c9d6/peliqan.png "Product Avatar Image")](https://www.g2.com/products/peliqan/reviews)[Peliqan](https://www.g2.com/products/peliqan/reviews)[4.8/5(87)](https://www.g2.com/products/peliqan/reviews) | Multi-source ELT pipelines with unified data activation | "Easy to see downstream impact" |

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