# Best DataOps Platforms

## How Many DataOps Platforms Products Does G2 Track?

**Total Products under this Category:** 106

### Category Stats (Jul 2026)

- **Average Rating:** 4.59/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Datacoves (+0.27%) - Among all products in this category, Datacoves recorded the largest rating increase compared to last month

_Last updated: July 31, 2026_

## How Does G2 Rank DataOps Platforms Products?

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

- 30 Analysts and Data Experts
- 5,200+ Authentic Reviews
- 106+ 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=1642761&focus%5B%5D=1208609&focus%5B%5D=148877&focus%5B%5D=1243833&focus%5B%5D=142449&focus%5B%5D=51147&focus%5B%5D=1321905)

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

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

**Sponsored**

### QuerySurge

QuerySurge is an enterprise-grade data quality platform that leverages AI to continuously automate data validation across your entire ecosystem ‐ from data warehouses and big data lakes to BI reports and enterprise applications. With AI-powered test creation, scalable architecture, and the leading DevOps for Data CI/CD integration, QuerySurge ensures data integrity at every stage of the pipeline. Automated Data Validation Use Cases: QuerySurge provides a smart, AI-driven, data validation & ETL testing solution for your automated testing needs. - Data Warehouse / ETL Testing - DevOps for Data / Continuous Testing - Data Migration Testing - Business Intelligence (BI) Report Testing - Big Data Testing - Enterprise Application Data Testing What QuerySurge Provides: - Automation of your manual data validation and testing process - Ease-of-use, low-code/no-code features - Generative AI capabilities for test creation - Testing across 200+ data platforms - Integration into your CI/CD DataOps pipeline - Acceleration of your data analysis - Ensurance of regulatory compliance Key Features: - Data Connection Wizard provides an easy way to link to your data stores - Visual Query Wizard builds table-to-table and column-to-column tests without writing SQL - Generative AI module automatically creates transformation tests in bulk - DevOps for Data provides a RESTful API with 110+ calls and Swagger documentation and integrates into CI/CD pipelines - Create Custom Tests and modularize functions with snippets, set thresholds, stage data, check data types & duplicate rows, full text search, and asset tagging - Schedule tests to run immediately, at a predetermined date & time, or after any event from a build/release, CI/CD, DevOps, or test management solution - Multi-project support in a single instance, new Global Admin user, assign users and agents, import and export projects, and user activity log reports - Webhooks provide real-time integrations with DevOps, CI/CD, test management, and alerting tools - Ready-for-Analytics provides seamless integration with QuerySurge and your BI tool or open-source Metabase to create custom reports and dashboards and gain deeper, real-time insights into your data validation and ETL testing workflows - Data Analytics Dashboards and Data Intelligence Reports track, analyze, and communicate data quality

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=2686&secure%5Bchosen_at%5D=2026-07-31T12%3A48%3A39Z&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=54942&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=eaafe08de3bb35ddc0861e9adfb310feaabe816a2d5396c376aec7e4b3e6a115&secure%5Burl%5D=https%3A%2F%2Fwww.querysurge.com%2Fget-started%2Fprivate-demo%3Futm_source%3DG2%26utm_medium%3Dcpc%26utm_campaign%3DG2-reviews&secure%5Burl_type%5D=book_demo)

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

Databricks is a unified data and AI platform that helps organizations build, govern and scale data pipelines, analytics, machine learning, AI applications and agents. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on Databricks to work with enterprise data and AI at scale. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase, Genie 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:** 1,326

#### 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:** 48% Large, 38% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** and **comprehensive features** of Databricks for data warehousing and ML applications.
- Users praise the **ease of use** of Databricks, enhancing their experience with intuitive interfaces and reliable services.
- Users appreciate the **seamless integrations** of Databricks with AWS and other tools, enhancing daily operations and efficiency.
- Users value the **seamless collaboration** offered by Databricks, enhancing teamwork on data projects with real-time insights.
- Users praise the **integrated analytical features** of Databricks, enhancing collaborative data processing and insight visualization.

##### Cons

- Users note a **steep learning curve** initially, with confusing permissions and compute modes affecting usability.
- Users note that the **costs can be quite high** for utilizing Databricks effectively, especially for large data projects.
- Users find a **steep learning curve** with Databricks, especially challenging for newcomers to big data tools.
- Users find the **complexity** of Databricks challenging, especially for smaller teams and initial setup processes.
- Users face **complex setup** challenges initially, though support helps simplify the experience over time.

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

**["Helpful for Managing and Analyzing Operational Data"](https://www.g2.com/survey_responses/databricks-review-13090803)**

**Rating:** 4.5/5.0 stars

_— Vishaka C._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13090803)

**["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, 2 upvotes
- [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes

### [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 **speed and automation** of FLIP, enhancing efficiency and providing actionable insights quickly.
- Users value the **ease of use** of Flip, enabling quick setup and seamless data automation for enhanced productivity.
- Users value the **fast processing capabilities** of Flip, significantly reducing time spent on data handling and reporting.
- Users appreciate the **fast data syncing** of Flip, allowing immediate insights into product performance post-launch.
- Users value the **high level of customization** in Flip, enabling tailored solutions and efficient data management for their needs.

##### Cons

- Users face a **complex setup** process that can extend timelines and requires significant technical collaboration and knowledge.
- Users find FLIP to be **expensive** , with notable costs for upgrades and necessary custom connector work.
- Users face a **steep learning curve** initially, as mastering features takes considerable time and effort.
- Users note that Flip has several **missing features** such as advanced templates and improvements in customization options.
- Users face **integration issues** with smaller retailers, requiring manual workarounds and impacting performance during heavy processing runs.

#### 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)

### [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, WDF 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:** 142

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

- **Data Observability:** 8.3/10 (Category avg: 9.0/10)
- **Testing capabilities:** 8.1/10 (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:** 46% Large, 27% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users enjoy the **ease of use** of ServiceNow Workflow Data Fabric, facilitating seamless automation and streamlined workflow management.
- Users value the **seamless integrations** of ServiceNow Workflow Data Fabric, enhancing collaboration across departments effortlessly.
- Users value the **low-code automation** of ServiceNow Workflow Data Fabric, simplifying integration and enhancing workflow management.
- Users value the **efficiency improvement** of ServiceNow Workflow Data Fabric, simplifying operations and reducing manual effort significantly.
- Users value the **seamless data integration** of ServiceNow Workflow Data Fabric, enabling faster, more informed decision-making across workflows.

##### Cons

- Users find the **complex setup** of ServiceNow Workflow Data Fabric challenging, particularly for smaller organizations and integrations.
- Users find the **difficult setup** of ServiceNow Workflow Data Fabric a barrier, especially for smaller organizations with limited resources.
- Users find the pricing **quite expensive** , making it hard to justify for smaller teams or startups.
- Users experience **slow performance** when handling large datasets, leading to latency and challenges in data management.
- Users find the **complexity of learning and managing data sources** in ServiceNow Workflow Data Fabric to be challenging.

#### 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)

**["Keeps ServiceNow Workflows in Sync with Current, Unified Data"](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12541512)**

**Rating:** 4.5/5.0 stars

_— Youssef N._

[Read full review](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12541512)

### [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:** [dbt Labs](https://www.g2.com/sellers/dbt-labs)
- **Year Founded:** 2016
- **HQ Location:** Philadelphia, US
- **Twitter:** @getdbt  
14,792 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2528ac46bc91e3acc7ad9e4f602bdecf43b7a29cef8c7a88fcb0b299043e4e1a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdbtlabs%2F&secure%5Burl_type%5D=linkedin_company_website)  
874 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 love the **ease of use** of dbt, thanks to its clear structure, intuitive documentation, and seamless integration.
- Users value dbt for its **integration of software engineering best practices** , enhancing maintainability and collaboration in SQL transformations.
- Users value the **automation** features of dbt, significantly enhancing SQL code maintainability and transforming data workflows.
- Users value the **transformative power** of dbt, efficiently organizing and modeling data for actionable insights.
- Users value dbt for its **high data quality** , ensuring integrity and enhancing analytics workflows through modularization and documentation.

##### Cons

- Users face challenges with **limited functionality** in dbt due to rigid models and debugging difficulties, affecting project progress.
- Users often face **dependency issues** with dbt, leading to time-consuming troubleshooting and disruption in workflows.
- Users find the **steep learning curve** of mastering concepts like Jinja and Git to be quite challenging.
- Users struggle with **unhelpful error messages** in dbt, making troubleshooting difficult and frustrating.
- Users face **confusing error reporting** that complicates troubleshooting and hinders quick identification of issues.

#### 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 value the **ease of use** of 5X, appreciating its intuitive interface and seamless integration with existing tools.
- Users appreciate the **responsive customer support** of 5X, which quickly addresses inquiries and implements requested features.
- Users praise 5X for its **seamless integration capabilities** , enhancing workflow automation and simplifying data management across platforms.
- Users value the **easy integrations** of 5X, enhancing their data ingestion and overall operational efficiency effortlessly.
- Users praise 5X for its **intuitive design and integrated capabilities** , facilitating efficient data management and seamless workflows.

##### Cons

- Users find a **steep learning curve** with 5X initially, but training helps to ease the transition.
- Users find the **complex setup** of 5X challenging, often requiring additional support for successful deployment.
- Users find a **steep learning curve** initially, requiring enablement sessions to ease into the platform's complexity.
- Users find the **difficult setup** of 5X to be time-consuming, requiring extensive learning and support for complex integrations.
- Users note **feature limitations** as some advanced tools are still in development, affecting overall functionality and workflows.

#### 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 **ease of use** of Monte Carlo, praising its intuitive interface and helpful documentation.
- Users value the **custom alerts and integration** in Monte Carlo, enhancing stakeholder communication and data monitoring efficiency.
- Users find the **monitoring features** of Monte Carlo invaluable for catching data quality issues early and enhancing communication.
- Users appreciate the **custom alerting integration** in Monte Carlo, enhancing communication and data quality monitoring effectively.
- Users value the **easy setup and automated anomaly detection** of Monte Carlo, enhancing data quality and consistency monitoring.

##### Cons

- Users find the lack of **manual threshold settings** for alerts limiting, complicating the adjustment of alert sensitivities.
- Users find the **alert overload** from Monte Carlo's automated monitors to be disruptive and requiring excessive tuning efforts.
- Users face challenges with the **inefficient alert system** , including issues with notifications and complex UI elements.
- Users find the **UX improvement** necessary, citing slow performance and disorganized features as major drawbacks.
- Users find that Monte Carlo has **limited functionality** for custom metrics and manual threshold settings, hindering deeper analysis.

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

**["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)

**["Automated Monitoring and Lineage That Quickly Boost Data Trust"](https://www.g2.com/survey_responses/monte-carlo-review-13033733)**

**Rating:** 4.0/5.0 stars

_— Manga D._

[Read full review](https://www.g2.com/survey_responses/monte-carlo-review-13033733)

#### 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)  
4,572 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 highlight the **ease of use** of Astro, with intuitive UI and seamless Slack integration for monitoring.
- Users appreciate the **efficiency improvement** of Astro, enhancing workflow management and saving valuable time.
- Users appreciate the **intuitive user interface** of Astro, simplifying complex workflows and enhancing team collaboration.
- Users love the **automation capabilities** of Astro by Astronomer, enhancing efficiency in data orchestration and monitoring.
- Users value the **deployment ease** of Astro by Astronomer, streamlining Airflow and ensuring reliable data pipeline management.

##### Cons

- Users express concerns over Astro by Astronomer's **high pricing** and lack of transparency, particularly for smaller teams.
- Users report a **steep learning curve** for new team members, requiring significant time for adaptation and training.
- Users struggle with a **steep learning curve** , making adaptation and training for Astro challenging for new team members.
- Users often find a **steep learning curve** with Astro, requiring extra time for adaptation and training for new users.
- Users find the **limited customization** of Astro restrictive, especially compared to self-hosted Airflow options.

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

**["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)

**["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)

#### 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)

### [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 value the **centralized management** features of Kestra, enhancing collaboration and streamlining workflow integration across teams.
- Users commend Kestra for its **responsive support** , excellent documentation, and role in enhancing collaboration and efficiency.
- Users value the **customization options** in Kestra, enhancing collaboration and integration within diverse data workflows.
- Users commend Kestra for its **exceptional data security** , enhancing collaboration and reliability in data and automation pipelines.
- Users praise the **excellent documentation** of Kestra, which supports easy growth and aids in efficient tool usage.

##### Cons

- Users find the **alert overload** in Kestra's UI overwhelming and hard to filter effectively.
- Users find the **UI overwhelming** , particularly in the Logging/Task Runs menu, which complicates navigation and filtering.

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

**["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)

**["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)

### [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:** 125

#### 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)  
174 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 commend the **ease of use** of Stonebranch, finding it intuitive and accessible for both new and experienced users.
- Users appreciate the **automation features** of Stonebranch, which simplify workflow management and enhance productivity significantly.
- Users value the **responsive and helpful customer support** from Stonebranch, enhancing the integration and user experience.
- Users praise Stonebranch for its **user-friendly workflow automation** , enabling efficient job scheduling and monitoring for all skill levels.
- Users love the **user-friendly workflow management** of Stonebranch, which simplifies job scheduling and enhances productivity.

##### Cons

- Users find the **complexity** of Stonebranch's UI overwhelming, with unnecessary options and unclear documentation hampering usability.
- Users find the **difficult learning curve** for Stonebranch challenging, especially in complex environments with many configuration options.
- Users struggle with **poor documentation** , finding it unclear and overwhelming, particularly for new administrators.
- Users find the **learning curve steep** due to a complex interface and challenging training resources, hindering effective use.
- Users find the **complex setup** process of Stonebranch challenging, impeding smooth onboarding and navigation for new users.

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

**["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)

**["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)

#### 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

### [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?

**["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)

**["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)

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

- [What is Y42 used for?](https://www.g2.com/discussions/what-is-y42-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:** 82

#### 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:** 45% Small, 43% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users highly value the **ease of use** of Peliqan, enabling effortless integration and smooth data management processes.
- Users value the **effortless integration** capabilities of Peliqan, enhancing automation and real-time data access without complexity.
- Users appreciate the **easy integrations** of Peliqan, which streamline workflows and enhance overall productivity.
- Users benefit from **200+ pre-built connectors** , streamlining client onboarding and creating efficient data transformations across platforms.
- Users value the **easy data replication and integration** features of Peliqan, enhancing their overall data management experience.

##### Cons

- Users find the **learning difficulty** of Peliqan challenging, especially requiring technical skills for effective use.
- Users find Peliqan to be **non-tech friendly** , requiring technical skills for data transformations and report distribution.
- Users face **feature limitations** in Peliqan, needing custom connectors and additional tools for comprehensive BI capabilities.
- Users find that the **learning curve** for Peliqan is steep, requiring expertise for effective setup and usage.
- Users find a **steep learning curve** , especially for non-tech individuals needing assistance to get started.

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

**["Repetable agent setup per client."](https://www.g2.com/survey_responses/peliqan-review-13112554)**

**Rating:** 5.0/5.0 stars

_— Priya Ranjan K._

[Read full review](https://www.g2.com/survey_responses/peliqan-review-13112554)

**["Python data apps replaced our scripts"](https://www.g2.com/survey_responses/peliqan-review-13077269)**

**Rating:** 5.0/5.0 stars

_— Shailesh Kumar Y._

[Read full review](https://www.g2.com/survey_responses/peliqan-review-13077269)

### [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:** 399

#### 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:** 63% Medium, 24% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find Hightouch to have an **intuitive UI** making data activation and syncing effortless across multiple tools.
- Users value the **easy integration** of Hightouch, facilitating seamless data syncing and quick setup for various platforms.
- Users commend the **easy setup** of Hightouch, enabling seamless integration and intuitive management of data environments.
- Users appreciate the **effortless data synchronization** with Hightouch, enabling quick actions based on real-time information.
- Users praise the **easy integrations** of Hightouch that streamline setup and enhance audience segmentation with various platforms.

##### Cons

- Users find Hightouch **expensive** , especially for larger volumes, leading to concerns about affordability and cost management.
- Users face **integration issues** with Hightouch, particularly in debugging HTTP connectors and safeguarding against user errors.
- Users express concerns over **pricing issues** due to unexpected cost increases and lack of clear communication.
- Users experience **syncing issues** with unclear error messages, complicating data transfer between platforms like Snowflake and Salesforce.
- Users often experience **sync issues** with Hightouch, facing unclear error messages during data synchronization.

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

**["Transforms CRM Efficiency, Easy for Marketers"](https://www.g2.com/survey_responses/hightouch-review-13088885)**

**Rating:** 4.5/5.0 stars

_— Ivet N._

[Read full review](https://www.g2.com/survey_responses/hightouch-review-13088885)

**["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

### [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:** 18

#### 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)?:** 1.7/10 (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:** 44% Medium, 33% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **automation** in Orchestra, allowing teams to focus more on their core tasks efficiently.
- Users value the **ease of organizing and deploying data pipelines** with Orchestra, allowing teams to reclaim valuable time.
- Users value the **ease of use** of Orchestra, streamlining organization and scheduling for enhanced productivity.
- Users find the **easy setup** of Orchestra transformative, allowing them to focus more on their actual jobs.
- Users value the **efficiency** of Orchestra, simplifying data pipeline management and freeing up time for actual tasks.

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

**["End-to-end orchestration with No Code that just works"](https://www.g2.com/survey_responses/orchestra-review-13024517)**

**Rating:** 5.0/5.0 stars

_— William S._

[Read full review](https://www.g2.com/survey_responses/orchestra-review-13024517)

**["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)

### [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 appreciate the **ease of use** of ILUM, enjoying seamless integration and a smooth workflow for managing data.
- Users value the **seamless integration** of ILUM with existing systems, enhancing efficiency in data management and analytics.
- Users appreciate the **seamless integrations** of ILUM, enhancing data management and analytics with a unified, efficient platform.
- Users value the **quick and seamless setup** of ILUM, appreciating its ease of integration and efficiency.
- Users appreciate the **easy integrations** of ILUM, smoothly fitting into existing systems without major rewrites.

##### Cons

- Users find the **complex setup** for advanced configurations of ILUM can be challenging for newcomers to navigate.
- Users find the **difficult setup** process of ILUM challenging, requiring significant effort and experimentation to optimize configurations.
- Users find the **learning curve steep** for advanced features in ILUM, requiring time to adapt and configure settings.
- Users note that **UI improvements** are needed for easier access to advanced settings and configurations in ILUM.
- Users find some aspects of ILUM's setup **complex and unintuitive** , requiring considerable effort to configure effectively.

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

**["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)

**["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)

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

Nexla is an enterprise-grade, AI-powered data integration platform designed to help organizations unlock data from any source and transform it into production-ready data products for AI and agents. With support for 1000+ pre-built connectors and multiple integration styles, including ELT, ETL, streaming, APIs, and agentic RAG, the platform enables teams to build and manage data flows without writing code. Trusted by leading enterprises, Nexla processes over one trillion records per month across industries, ​​showcasing its ability to handle large volumes of data while maintaining performance and reliability. Innovators like Autodesk, DoorDash, Instacart, Johnson & Johnson, LinkedIn, and LiveRamp rely on Nexla to keep mission-critical data flowing seamlessly across their enterprises. Key features of Nexla include flexible deployment across cloud, hybrid, and on-premises environments, ensuring compliance with enterprise-grade security standards such as SOC 2 Type II, GDPR, CCPA, and HIPAA. Nexla delivers 10x faster implementation than traditional alternatives, turning data challenges and variety into competitive advantages. Try our AI Data Engineer at https://express.dev Increase the impact of your data engineering team with next-gen data integration: ✅ Eliminate costly replications & reduce storage bills ✅ Increase engineering productivity & capacity for innovation ✅ Empower users with Pro/Low/No-code collaboration ✅ Cut out maintenance with data validation, quality monitoring, & alerts ✅ Build production-ready custom GenAI applications Go beyond one traditional integration pattern, and invest in data architecture that supports: ✅ Agentic Data Integration with AI built data pipelines and MCP servers ✅ Any integration pattern (ELT, ETL, API / API proxy, & RAG - Retrieval Augmented Generation) ✅ Bi-directional connectors out of the box & on demand ✅ Any processing speed (streaming, real-time, batch) ✅ Unstructured, structured, or semi-structured data ✅ Complete data lineage search & tagging for governance ✅ Metadata-driven architecture for agility & scale Nexla is a Gartner Cool Vendor and pairs perfectly with the technologies you rely on: ✅ Compute: AWS, Azure, Google Cloud, On-Premise ✅ Storage: S3, Redshift, BigQuery, Snowflake, Oracle, Databricks, Kafka, Redis, MongoDB, Postgres, MySQL ✅ Applications: SAP, Salesforce, Marketo, Hubspot, Amazon Seller Central, Google Ads, API, Salesforce ✅ Catalogs: Alation, Collibra, data.world ✅ Webhooks, emails, FTP & APIs ✅ Vector database & LLM: Pinecone, GPT, Falcon, LLaMDa And many more Differentiators & Awards 🏆 2025 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2024 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2023 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2022 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools

**Average Rating:** 4.6/5.0

**Total Reviews:** 62

#### How Do G2 Users Rate Nexla?

- **Data Observability:** 8.8/10 (Category avg: 9.0/10)
- **Testing capabilities:** 8.5/10 (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)?:** 0/10 (Category avg: 10/10)

#### Who Is the Company Behind Nexla?

- **Seller:** [Nexla](https://www.g2.com/sellers/nexla)
- **Company Website:** www.nexla.com
- **Year Founded:** 2016
- **HQ Location:** San Mateo, California
- **Twitter:** @NexlaInc  
944 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=97f400a2065554cdc6fdce04350b3ccd2a182503057fdbe14334d75211f5f665&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fnexla%2F&secure%5Burl_type%5D=linkedin_company_website)  
67 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Insurance
- **Company Size:** 41% Medium, 33% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Nexla, facilitating smooth data manipulation without requiring coding skills.
- Users value the **automation capabilities** of Nexla, significantly reducing manual work and enhancing data cleanliness and consistency.
- Users appreciate the **ease of deployment and manipulation** of data with Nexla, finding it user-friendly and flexible.
- Users value the **seamless integrations** offered by Nexla, enhancing efficiency with minimal technical requirements and diverse data sources.
- Users appreciate the **ease of deployment and integration** with Nexla, enabling seamless data manipulation without coding.

##### Cons

- Users find the **learning difficulty** in setting up Nexla can be confusing, especially for beginners with advanced features.
- Users notice **slow performance** with UI and search, impacting their overall experience with Nexla.
- Users find the **difficult learning curve** of Nexla challenging, especially during initial setup and feature exploration.
- Users find the **learning curve steep** , particularly for new users due to complex setup and advanced features.
- Users find the **poor documentation** of Nexla confusing, especially when navigating complex features and edge cases.

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

**["Smooth Data Integration with Impressive Speed and UI"](https://www.g2.com/survey_responses/nexla-review-12630612)**

**Rating:** 4.5/5.0 stars

_— Srinivasulu L._

[Read full review](https://www.g2.com/survey_responses/nexla-review-12630612)

**["Robust Data Consolidation with Excellent Support"](https://www.g2.com/survey_responses/nexla-review-12648347)**

**Rating:** 4.0/5.0 stars

_— Jaspreet S._

[Read full review](https://www.g2.com/survey_responses/nexla-review-12648347)

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

- [How do you use Nexla?](https://www.g2.com/discussions/nexla-how-do-you-use-nexla)
- [How do you use Nexla?](https://www.g2.com/discussions/how-do-you-use-nexla)
- [What is a data fabric?](https://www.g2.com/discussions/nexla-what-is-a-data-fabric)
- [What is a data fabric?](https://www.g2.com/discussions/what-is-a-data-fabric)
- [What does DataOps do?](https://www.g2.com/discussions/nexla-what-does-dataops-do)

- ‹ Prev‹ Prev
- 1
- [2](/categories/dataops-platforms?order=g2_score&page=2#product-list)
- [3](/categories/dataops-platforms?order=g2_score&page=3#product-list)
- [4](/categories/dataops-platforms?order=g2_score&page=4#product-list)
- [5](/categories/dataops-platforms?order=g2_score&page=5#product-list)
- …
- [7](/categories/dataops-platforms?order=g2_score&page=7#product-list)
- [8](/categories/dataops-platforms?order=g2_score&page=8#product-list)
- [Next ›Next ›](/categories/dataops-platforms?order=g2_score&page=2#product-list)

Spotlight Categories

[Contact Center Workforce Software](https://www.g2.com/categories/contact-center-workforce)

[Live Chat Software](https://www.g2.com/categories/live-chat)

[SAP Store Software](https://www.g2.com/categories/sap-store)

[Demo Automation Software](https://www.g2.com/categories/demo-automation)

[CMMS Software](https://www.g2.com/categories/cmms)

Similar Categories

- [Infrastructure as a Service (IaaS)](/categories/infrastructure-as-a-service-iaas)
- [Active Metadata Management](/categories/active-metadata-management)
- [Address Verification](/categories/address-verification)
- [AIOps Platforms](/categories/aiops-platforms)
- [Application Server](/categories/application-server)

- [Blockchain](/categories/blockchain)
- [Cloud File Storage](/categories/cloud-file-storage)
- [Database Software](/categories/database-software)
- [Data Center Infrastructure Management (DCIM)](/categories/data-center-infrastructure-management-dcim)
- [Data Center Networking](/categories/data-center-networking)

- [Data Exchange Platforms](/categories/data-exchange-platforms)
- [Data Fabric](/categories/data-fabric)
- [Data Integration Tools](/categories/data-integration-tools)
- [Data Management Software](/categories/data-management-software)
- [Data Mapping](/categories/data-mapping)

[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

| 

 | 

Unified lakehouse DataOps with cross-team collaboration

 | 

User Review

"Helpful for Managing and Analyzing Operational Data"

 |
| 

 | 

AI-assisted pipeline validation and DataOps automation

 | 

User Review

"FLIP Delivers Fast, Automated Retail Reporting for New SKU Performance"

 |
| 

 | 

Zero-copy DataOps inside ServiceNow workflows

 | 

User Review

"Zero-Copy, Real-Time Intelligence with ServiceNow Workflow Data Fabric"

 |
| 

 | 

SQL-based ELT transformation with version-controlled lineage

 | 

User Review

"Simple SQL-Driven Materializations with Powerful Lineage"

 |
| 

 | 

End-to-end DataOps with unified stack consolidation

 | 

User Review

"A reliable and scalable data partner"

 |
| 

 | 

ML-driven pipeline anomaly detection and lineage

 | 

User Review

"MonteCarlo: A Powerful Tool for Data Observability and Inspection"

 |
| 

 | 

Managed Airflow orchestration for infrastructure-free pipeline ops

 | 

User Review

"Asro literally assists in data engineering work, making it easier and more productive."

 |
| 

 | 

Declarative AI pipeline orchestration with native observability

 | 

User Review

"The Adamantium to my fragile AI pipeline"

 |
| 

 | 

dbt-native end-to-end DataOps pipelines

 | 

User Review

"Great integrated cloud platform with smooth workflows to build and run data pipelines"

 |

* * *

Show More