# Best Enterprise ETL Tools

  *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)*

   Products classified in the overall ETL Tools category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business ETL Tools to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business ETL Tools category.

In addition to qualifying for inclusion in the ETL Tools category, to qualify for inclusion in the Enterprise Business ETL Tools category, a product must have at least 10 reviews left by a reviewer from an enterprise business.





## Category Overview

**Total Products under this Category:** 247


## Trust & Credibility Stats

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

- 30 Analysts and Data Experts
- 17,800+ Authentic Reviews
- 247+ 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.



---

**Sponsored**

### CloverDX

CloverDX is the data integration platform that combines engineering-led pipelines, AI integration, and self-service tools for business users. Host on-prem, in cloud, or hybrid for complete deployment freedom. CloverDX streamlines the entire lifecycle of data—from ingestion and processing to delivery and consumption, enhancing productivity and fostering trust in data. The platform is used by organizations of all sizes, helping companies optimize and orchestrate their data workflows, reduce manual work and errors, and ensure compliance with data governance standards. Data engineers and technical users can build and automate pipelines in a visual + code interface, and business users can also engage with data in user-friendly interfaces, so they can take on data quality, data prep and master data management tasks without needing IT intervention – freeing up technical resource. CloverDX supports a wide range of data sources and formats, enabling users to ingest data from various systems. Robust transformation capabilities allow users to clean, enrich and manipulate data to meet specific business requirements. And CloverDX offers advanced automation features that minimize the need for manual intervention – increasing efficiency and reducing the risk of errors. CloverDX also helps maintain data integrity and accountability throughout the data lifecycle, with full version control and audit trails. Users can track changes and access historical data versions, ensuring they can rely on the accuracy of data at all times. CloverDX is a versatile, flexible data integration solution that addresses the needs of both technical and non-technical users. By combining automation, robust processing capabilities, and a user-friendly interface, it empowers organizations to manage their data more effectively, ultimately leading to better insights, enhanced collaboration and alignment, and improved business outcomes.



[Visit company website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=paid_promo&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1181&secure%5Bmedium%5D=sponsored&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=3570&secure%5Bresource_id%5D=1181&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fetl-tools&secure%5Btoken%5D=3d70c292cbf6641883a23e4d99f356a0d00856a626a09411b91cf466d1214cd3&secure%5Burl%5D=https%3A%2F%2Fwww.cloverdx.com%2Fpricing&secure%5Burl_type%5D=paid_promos)

---

## Top-Rated Products (Ranked by G2 Score)
  ### 1. [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 over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 731

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)
- **Automation:** 9.0/10 (Category avg: 8.9/10)
- **Scalability:** 9.1/10 (Category avg: 8.7/10)
- **Auditing:** 8.5/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Databricks Inc.](https://www.g2.com/sellers/databricks-inc)
- **Company Website:** https://databricks.com
- **Year Founded:** 2013
- **HQ Location:** San Francisco, CA
- **Twitter:** @databricks (89,652 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3477522/ (14,779 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Senior Data Engineer
  - **Top Industries:** Information Technology and Services, Financial Services
  - **Company Size:** 44% Enterprise, 40% Mid-Market


#### Pros & Cons

**Pros:**

- Features (288 reviews)
- Ease of Use (278 reviews)
- Integrations (189 reviews)
- Collaboration (150 reviews)
- Data Management (150 reviews)

**Cons:**

- Learning Curve (112 reviews)
- Expensive (97 reviews)
- Steep Learning Curve (96 reviews)
- Missing Features (69 reviews)
- Complexity (64 reviews)

  ### 2. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
  BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and run up to 1 TiB of queries for free per month.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 1,157

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10)
- **Automation:** 8.9/10 (Category avg: 8.9/10)
- **Scalability:** 9.3/10 (Category avg: 8.7/10)
- **Auditing:** 8.3/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,885,216 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Data Analyst
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 37% Enterprise, 35% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (156 reviews)
- Speed (143 reviews)
- Fast Querying (120 reviews)
- Integrations (118 reviews)
- Query Efficiency (114 reviews)

**Cons:**

- Expensive (127 reviews)
- Query Issues (78 reviews)
- Cost Issues (63 reviews)
- Cost Management (60 reviews)
- Learning Curve (54 reviews)

  ### 3. [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews)
  IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, data science, smart applications, and hybrid integration.


  **Average Rating:** 4.0/5.0
  **Total Reviews:** 115

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10)
- **Automation:** 7.7/10 (Category avg: 8.9/10)
- **Scalability:** 7.6/10 (Category avg: 8.7/10)
- **Auditing:** 7.2/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, NY
- **Twitter:** @IBM (709,023 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (324,553 employees on LinkedIn®)
- **Ownership:** SWX:IBM

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 42% Enterprise, 33% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (30 reviews)
- User Interface (16 reviews)
- Data Management (15 reviews)
- Data Pipelining (15 reviews)
- Integrations (14 reviews)

**Cons:**

- Learning Curve (13 reviews)
- Expensive (10 reviews)
- Learning Difficulty (8 reviews)
- Slow Performance (8 reviews)
- Steep Learning Curve (8 reviews)

  ### 4. [Domo](https://www.g2.com/products/domo/reviews)
  Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and generate dynamic reports and visualizations—all within a single interface. With built-in AI and automation capabilities, teams can easily build and use AI agents, streamline workflows, and create tailored solutions.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 983

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Automation:** 8.5/10 (Category avg: 8.9/10)
- **Scalability:** 7.9/10 (Category avg: 8.7/10)
- **Auditing:** 7.2/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Domo](https://www.g2.com/sellers/domo)
- **Company Website:** https://www.domo.com
- **Year Founded:** 2010
- **HQ Location:** American Fork, UT
- **Twitter:** @Domotalk (63,711 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/25237/ (1,334 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst, Business Analyst
  - **Top Industries:** Computer Software, Marketing and Advertising
  - **Company Size:** 49% Mid-Market, 29% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (248 reviews)
- Data Visualization (116 reviews)
- Intuitive (95 reviews)
- Easy Integrations (93 reviews)
- Integrations (88 reviews)

**Cons:**

- Learning Curve (66 reviews)
- Missing Features (59 reviews)
- Data Management Issues (55 reviews)
- Expensive (45 reviews)
- Complexity (43 reviews)

  ### 5. [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews)
  Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems. Key Features and Functionality: - Extensive Connectivity: ADF offers over 90 built-in connectors, allowing integration with a wide array of data sources, including relational databases, NoSQL systems, SaaS applications, APIs, and cloud storage services. - Code-Free Data Transformation: Utilizing mapping data flows powered by Apache Spark™, ADF enables users to perform complex data transformations without writing code, streamlining the data preparation process. - SSIS Package Rehosting: Organizations can easily migrate and extend their existing SQL Server Integration Services (SSIS) packages to the cloud, achieving significant cost savings and enhanced scalability. - Scalable and Cost-Effective: As a serverless service, ADF automatically scales to meet data integration demands, offering a pay-as-you-go pricing model that eliminates the need for upfront infrastructure investments. - Comprehensive Monitoring and Management: ADF provides robust monitoring tools, allowing users to track pipeline performance, set up alerts, and ensure efficient operation of data workflows. Primary Value and User Solutions: Azure Data Factory addresses the complexities of modern data integration by providing a unified platform that connects disparate data sources, automates data workflows, and facilitates advanced data transformations. This empowers organizations to derive actionable insights from their data, enhance decision-making processes, and accelerate digital transformation initiatives. By offering a scalable, cost-effective, and code-free environment, ADF reduces the operational burden on IT teams and enables data engineers and business analysts to focus on delivering value through data-driven strategies.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 91

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Automation:** 9.2/10 (Category avg: 8.9/10)
- **Scalability:** 9.1/10 (Category avg: 8.7/10)
- **Auditing:** 8.4/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,105,844 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 61% Enterprise, 29% Mid-Market


#### Pros & Cons

**Pros:**

- Data Integration (7 reviews)
- Ease of Use (7 reviews)
- Connectors (6 reviews)
- Integrations (6 reviews)
- Scalability (5 reviews)

**Cons:**

- Debugging Difficulty (5 reviews)
- Difficult Debugging (4 reviews)
- Expensive (4 reviews)
- Feature Limitations (4 reviews)
- Complexity (3 reviews)

  ### 6. [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews)
  IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consistent governance across sources, formats and teams. Watch the demo to learn how watsonx.data empowers you to build gen AI apps and powerful AI agents. Free Trial available: https://ibm.biz/Watsonx-data\_Trial


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 156

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10)
- **Automation:** 6.7/10 (Category avg: 8.9/10)
- **Scalability:** 7.8/10 (Category avg: 8.7/10)
- **Auditing:** 3.3/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** https://www.ibm.com/us-en
- **Year Founded:** 1911
- **HQ Location:** Armonk, NY
- **Twitter:** @IBM (709,023 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (324,553 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, CEO
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 34% Small-Business, 33% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (67 reviews)
- Features (47 reviews)
- Data Management (41 reviews)
- Integrations (33 reviews)
- Analytics (31 reviews)

**Cons:**

- Learning Curve (38 reviews)
- Complexity (25 reviews)
- Expensive (20 reviews)
- Difficult Setup (17 reviews)
- Difficulty (17 reviews)

  ### 7. [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews)
  SnapLogic is the leader in generative integration. As a pioneer in AI-led integration, the SnapLogic Platform accelerates digital transformation across the enterprise and empowers everyone to integrate faster and easier. Whether you are automating business processes, democratizing data, or delivering digital products and services, SnapLogic enables you to simplify your technology stack and take your enterprise further. Thousands of enterprises around the globe rely on SnapLogic to integrate, automate and orchestrate the flow of data across their business. Join the generative integration movement at snaplogic.com.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 371

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Automation:** 8.6/10 (Category avg: 8.9/10)
- **Scalability:** 8.4/10 (Category avg: 8.7/10)
- **Auditing:** 8.1/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [SnapLogic](https://www.g2.com/sellers/snaplogic)
- **Company Website:** https://www.snaplogic.com
- **Year Founded:** 2006
- **HQ Location:** San Mateo, CA
- **Twitter:** @SnapLogic (7,354 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/210766/ (327 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Consultant
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 46% Enterprise, 36% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (85 reviews)
- Easy Integrations (70 reviews)
- Integrations (54 reviews)
- User Interface (50 reviews)
- Automation (43 reviews)

**Cons:**

- Performance Issues (31 reviews)
- Poor Performance (25 reviews)
- Technical Difficulties (25 reviews)
- Complexity (22 reviews)
- Error Reporting (22 reviews)

  ### 8. [Alteryx](https://www.g2.com/products/alteryx/reviews)
  Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 648

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx)
- **Company Website:** https://www.alteryx.com
- **Year Founded:** 1997
- **HQ Location:** Irvine, CA
- **Twitter:** @alteryx (26,220 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/903031/ (2,268 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst, Analyst
  - **Top Industries:** Financial Services, Accounting
  - **Company Size:** 62% Enterprise, 22% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (333 reviews)
- Automation (148 reviews)
- Intuitive (132 reviews)
- Easy Learning (102 reviews)
- Efficiency (102 reviews)

**Cons:**

- Expensive (88 reviews)
- Learning Curve (80 reviews)
- Missing Features (62 reviews)
- Learning Difficulty (55 reviews)
- Slow Performance (41 reviews)

  ### 9. [Workato](https://www.g2.com/products/workato/reviews)
  Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 customers including half the Fortune 500, Workato connects every system, process, and data source with 14,000+ pre-built connectors. What sets Workato apart: Enterprise MCP turns proven business processes into governed, agent-ready skills that any AI agent — Claude, ChatGPT, Cursor, or custom-built — can execute safely and predictably. No rip-and-replace required. Whether modernizing legacy integrations or deploying agentic AI at scale, Workato delivers the orchestration, governance, and trust needed in the enterprise.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 725

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10)
- **Automation:** 9.2/10 (Category avg: 8.9/10)
- **Scalability:** 9.0/10 (Category avg: 8.7/10)
- **Auditing:** 8.3/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Workato](https://www.g2.com/sellers/workato)
- **Company Website:** https://www.workato.com
- **Year Founded:** 2013
- **HQ Location:** Mountain View, California
- **Twitter:** @Workato (3,599 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3675685 (1,348 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 43% Mid-Market, 33% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (366 reviews)
- Integrations (245 reviews)
- Easy Integrations (232 reviews)
- Automation (198 reviews)
- Features (195 reviews)

**Cons:**

- Complexity (83 reviews)
- Learning Curve (77 reviews)
- Missing Features (77 reviews)
- Data Limitations (76 reviews)
- Expensive (71 reviews)

  ### 10. [Celigo](https://www.g2.com/products/celigo/reviews)
  Celigo is the intelligent automation platform built for the AI era. An enterprise-ready iPaaS, Celigo helps organizations unify applications, automate complex operations, and scale digital ecosystems. The platform supports cloud integration, SaaS integration, enterprise application integration, and agentic automation under a single governance model. The platform is accessible to both business teams and developers — anyone can build, configure, and maintain integrations through natural language, while technical teams retain full control over architecture, security, and extensibility. Through an extensive library of 1,000+ prebuilt connectors, organizations can rapidly integrate systems such as ERP, CRM, ecommerce, finance, and support platforms — including NetSuite, Salesforce, SAP, Microsoft Dynamics, and Shopify — while maintaining flexibility for custom integrations and advanced API management. Celigo supports a wide range of enterprise integration scenarios including ERP integration, CRM integration, B2B integration, and EDI (electronic data interchange) workflows. These capabilities allow organizations to streamline supplier, partner, and customer data exchange while ensuring reliable data integration across internal and external systems. Built-in tools for data mapping, data transformation, and data synchronization ensure that information moves accurately and consistently between applications. What sets Celigo apart is its ability to span the full spectrum of automation — from deterministic, rules-based workflows to AI-driven decision-making — without requiring separate platforms or governance models. Celigo Agent Builder enables teams to create AI agents that reason and act across enterprise systems, with configurable guardrails that enforce business policy at runtime. Human-in-the-loop approvals ensure sensitive actions require explicit authorization before execution, and complete audit trails support compliance across every AI interaction. Celigo's MCP Server exposes enterprise capabilities through the Model Context Protocol, giving any AI agent — built inside Celigo or externally — secure, governed, auditable access to the full enterprise tech stack. This makes Celigo a foundational layer for enterprise AI orchestration, enabling organizations to connect external agents to internal systems without sacrificing control or visibility. Celigo Ora, the platform's natural language interface, makes the entire platform accessible through conversation. Anyone — including business teams without technical training — can build, modify, troubleshoot, and maintain integrations and automations by describing what they need in plain language. This eliminates the specialist bottleneck not just for building automations, but for ongoing maintenance and issue resolution as well. To accelerate deployment, Celigo offers fully managed Integration Apps and reusable integration templates that simplify common use cases such as order-to-cash automation, ecommerce integrations, and financial data flows. Centralized monitoring, runtime governance controls, and scalable architecture give enterprises full visibility into integration and automation processes while maintaining reliability and compliance. Designed for modern IT and operations teams, Celigo empowers enterprises to unify integration, automation, and AI on a single platform — scaling capacity without scaling headcount, and building a durable foundation for digital transformation across the entire application landscape.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 1,019

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10)
- **Automation:** 10.0/10 (Category avg: 8.9/10)
- **Scalability:** 10.0/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Celigo](https://www.g2.com/sellers/celigo)
- **Company Website:** https://www.celigo.com
- **Year Founded:** 2011
- **HQ Location:** Redwood City, California
- **Twitter:** @celigoinc (1,424 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/275831/ (766 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** NetSuite Administrator, IT Manager
  - **Top Industries:** Retail, Computer Software
  - **Company Size:** 58% Mid-Market, 37% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (469 reviews)
- Integrations (299 reviews)
- Integration Capabilities (290 reviews)
- Easy Integrations (254 reviews)
- Customer Support (222 reviews)

**Cons:**

- Error Handling (108 reviews)
- Expensive (96 reviews)
- Learning Curve (92 reviews)
- Pricing Issues (70 reviews)
- Complexity (69 reviews)

  ### 11. [AWS Glue](https://www.g2.com/products/aws-glue/reviews)
  AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application develop-ment. You can discover and connect to 70+ diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. You can im-mediately search and query catalogued data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 191

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Automation:** 8.8/10 (Category avg: 8.9/10)
- **Scalability:** 8.9/10 (Category avg: 8.7/10)
- **Auditing:** 8.7/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,223,984 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 48% Enterprise, 29% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (6 reviews)
- Data Integration (3 reviews)
- ETL Solutions (3 reviews)
- Features (3 reviews)
- Simple (3 reviews)

**Cons:**

- Slow Performance (3 reviews)
- Debugging Difficulty (2 reviews)
- Difficult Debugging (2 reviews)
- Performance Issues (2 reviews)
- Time-Consuming (2 reviews)

  ### 12. [Fivetran](https://www.g2.com/products/fivetran/reviews)
  Shaped by the real-world needs of data analysts, Fivetran technology is the smartest, fastest way to replicate your applications, databases, events and files into a high-performance cloud warehouse. Fivetran connectors deploy in minutes, require zero maintenance, and automatically adjust to source changes — so your data team can stop worrying about engineering and focus on driving insights.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 774

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10)
- **Automation:** 9.0/10 (Category avg: 8.9/10)
- **Scalability:** 8.5/10 (Category avg: 8.7/10)
- **Auditing:** 7.4/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Fivetran](https://www.g2.com/sellers/fivetran)
- **Company Website:** https://www.fivetran.com/
- **Year Founded:** 2012
- **HQ Location:** Oakland, CA
- **Twitter:** @fivetran (5,735 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/fivetran/ (1,738 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Data Analyst
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 59% Mid-Market, 28% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (203 reviews)
- Easy Setup (82 reviews)
- Easy Integration (73 reviews)
- Customer Support (64 reviews)
- User Interface (62 reviews)

**Cons:**

- Sync Issues (60 reviews)
- Expensive (46 reviews)
- Integration Issues (30 reviews)
- Pricing Issues (28 reviews)
- Learning Curve (27 reviews)

  ### 13. [Boomi Data Integration](https://www.g2.com/products/boomi-data-integration/reviews)
  Rivery's SaaS platform provides a unified solution for ELT pipelines, workflow orchestration, and data operations. Achieve more with less and create the most efficient, scalable data stack for your organization. Some of Rivery's features and capabilities: - Completely Automated SaaS Platform: Get setup and start connecting data in the Rivery platform in just a few minutes with little to no maintenance required. - Unified Data Ingestion, Transformation, & Orchestration: 100% data source capability, insight-ready data with both SQL and Python transformations, and complete workflow automation. - 200+ Native Connectors: Instantly connect to applications, databases, file storage options, and data warehouses with our fully-managed and always up-to-date connectors, including BigQuery, Redshift, Shopify, Snowflake, Amazon S3, Firebolt, Databricks, Salesforce, MySQL, PostgreSQL, and Rest API to name just a few. - Python Support: Have a data source that requires custom code? With Rivery’s native Python support, you can pull data from any system, no matter how complex the need. - Change Data Capture/Data Replication: Rivery’s best-in-class CDC support provides an easy, reliable and fast solution for replicating data from a database to your data warehouse. - 1-Click Data Apps: With Rivery Kits, deploy complete, production-level workflow templates in minutes with data models, pipelines, transformations, table schemas, and orchestration logic already defined for you based on best practices. - Data Development Lifecycle Support: Separate walled-off environments for each stage of your development, from dev and staging to production, making it easier to move fast without breaking things. Get version control, API, & CLI included. - Data Operations: With Rivery, you get centralized logging & reporting, monitoring & alerts, and data quality as part of a robust data operations layer for your data pipelines. - Solution-Led Support: Consistently rated the best support by G2, receive engineering-led assistance from Rivery to facilitate all your data needs. - Data Security: Industry-leading security and enterprise-grade privacy standards are built into Rivery’s network, product, and policies.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 120

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.1/10)
- **Automation:** 9.5/10 (Category avg: 8.9/10)
- **Scalability:** 9.3/10 (Category avg: 8.7/10)
- **Auditing:** 8.8/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Boomi](https://www.g2.com/sellers/boomi)
- **Year Founded:** 2000
- **HQ Location:** Chesterbrook, PA
- **Twitter:** @boomi (101,219 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/boomi-inc/ (2,874 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 42% Mid-Market, 36% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (5 reviews)
- Customer Support (4 reviews)
- Data Management (4 reviews)
- Automation (3 reviews)
- Implementation Ease (3 reviews)

**Cons:**

- Data Limitations (1 reviews)
- Information Deficiency (1 reviews)
- Insufficient Information (1 reviews)
- Lacking Features (1 reviews)
- Limited Features (1 reviews)

  ### 14. [Informatica PowerCenter](https://www.g2.com/products/informatica-powercenter/reviews)
  Informatica PowerCenter® helps you unleash the value of your data. It offers a unique end-to-end data integration platform, with a broad set of capabilities to integrate raw, fragmented data from disparate sources, transforming it into complete, high-quality, business-ready information. As your environment grows and matures, PowerCenter scales to meet your expanding business needs, data volumes, and complexity, while providing insights to IT and the business


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 81

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 9.1/10)
- **Automation:** 8.6/10 (Category avg: 8.9/10)
- **Scalability:** 8.8/10 (Category avg: 8.7/10)
- **Auditing:** 8.6/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Informatica](https://www.g2.com/sellers/informatica)
- **Year Founded:** 1993
- **HQ Location:** Redwood City, CA
- **Twitter:** @Informatica (99,880 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3858/ (5,337 employees on LinkedIn®)
- **Ownership:** NYSE: INFA

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer
  - **Top Industries:** Information Technology and Services, Insurance
  - **Company Size:** 80% Enterprise, 15% Mid-Market


#### Pros & Cons

**Pros:**

- Automation (3 reviews)
- Data Integration (3 reviews)
- Ease of Use (3 reviews)
- Data Management (2 reviews)
- Drag (2 reviews)

**Cons:**

- Expensive (2 reviews)
- Integration Issues (2 reviews)
- Cloud Dependency (1 reviews)
- Complexity (1 reviews)
- Complex Management (1 reviews)

  ### 15. [Clarisights](https://www.g2.com/products/clarisights/reviews)
  Clarisights is the leading marketing analytics platform for Enterprises. Connect, visualize and explore all your marketing data in one place. Go from a cross-channel overview to in-depth campaign deep dives in a few clicks. From questions to insights in minutes. With Clarisights, performance marketers can move freely with data to iterate fast and accelerate testing cycles. Without relying on SQL, waiting for data teams or manual reporting in spreadsheets. Trusted by the most sophisticated Marketing teams, including those at Uber, Delivery Hero, HelloFresh, About You, and On.


  **Average Rating:** 4.9/5.0
  **Total Reviews:** 63

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.1/10)
- **Automation:** 9.8/10 (Category avg: 8.9/10)
- **Scalability:** 9.7/10 (Category avg: 8.7/10)
- **Auditing:** 9.9/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Clarisights](https://www.g2.com/sellers/clarisights)
- **Year Founded:** 2018
- **HQ Location:** Lewes, US
- **Twitter:** @Clarisights (1,120 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/clarisights/ (39 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Apparel & Fashion, Consumer Goods
  - **Company Size:** 79% Enterprise, 17% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (14 reviews)
- Helpful (10 reviews)
- Intuitive (9 reviews)
- Reporting (8 reviews)
- Analytics (7 reviews)

**Cons:**

- Integration Issues (2 reviews)
- Learning Curve (2 reviews)
- Campaign Management (1 reviews)
- Data Limitations (1 reviews)
- Lack of Customization (1 reviews)

  ### 16. [FME Platform](https://www.g2.com/products/fme-platform/reviews)
  FME, made by Safe Software, is the only All-Data, Any-AI Enterprise Integration Platform connecting all your data, applications, and AI services. All Data Velocities - Whether it’s batch, event, or stream processing, FME delivers you no-code business orchestration and automation. All Data Locations - Wherever your data is - in the cloud, on-premises, or both - FME matches your data landscape with processing, increasing scalability, agility, and security. All Data Types - From databases to business systems to IoT, you name it, we connect it. As the only integration platform with support for spatial data, FME delivers new insights so you can make better decisions and stay ahead of the competition. Any AI Technology - Power your workflows with the right data at the right time regardless of modality, location or data velocity. FME powers real-time, context-aware automation, scaling AI where and how you need it.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 92

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Automation:** 9.5/10 (Category avg: 8.9/10)
- **Scalability:** 8.3/10 (Category avg: 8.7/10)
- **Auditing:** 8.7/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Safe Software](https://www.g2.com/sellers/safe-software)
- **Company Website:** https://fme.safe.com/
- **Year Founded:** 1993
- **HQ Location:** British Columbia, Canada
- **Twitter:** @SafeSoftware (4,976 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/50027/ (343 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** GIS Technician, GIS Analyst
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 40% Mid-Market, 28% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (33 reviews)
- Data Management (19 reviews)
- Automation (18 reviews)
- Features (16 reviews)
- Data Transformation (15 reviews)

**Cons:**

- Complexity (10 reviews)
- Expensive (10 reviews)
- Learning Curve (7 reviews)
- Difficult Learning (6 reviews)
- Pricing Issues (6 reviews)

  ### 17. [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

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10)
- **Automation:** 10.0/10 (Category avg: 8.9/10)
- **Scalability:** 10.0/10 (Category avg: 8.7/10)
- **Auditing:** 10.0/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Ilum](https://www.g2.com/sellers/ilum)
- **Company Website:** https://ilum.cloud/
- **Year Founded:** 2019
- **HQ Location:** Santa Fe, US
- **Twitter:** @IlumCloud (19 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/ilum-cloud/ (4 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Telecommunications
  - **Company Size:** 52% Enterprise, 35% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (17 reviews)
- Features (17 reviews)
- Integrations (17 reviews)
- Setup Ease (16 reviews)
- Easy Integrations (15 reviews)

**Cons:**

- Complex Setup (9 reviews)
- Difficult Setup (9 reviews)
- Learning Curve (9 reviews)
- UX Improvement (8 reviews)
- Complexity (7 reviews)

  ### 18. [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:** 199

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10)
- **Automation:** 9.5/10 (Category avg: 8.9/10)
- **Scalability:** 9.2/10 (Category avg: 8.7/10)
- **Auditing:** 8.2/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Fivetran](https://www.g2.com/sellers/fivetran)
- **Year Founded:** 2012
- **HQ Location:** Oakland, CA
- **Twitter:** @fivetran (5,735 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/fivetran/ (1,738 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Analytics Engineer, Data Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 57% Mid-Market, 28% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (38 reviews)
- Features (22 reviews)
- Automation (19 reviews)
- Transformation (17 reviews)
- Integrations (15 reviews)

**Cons:**

- Limited Functionality (14 reviews)
- Dependency Issues (12 reviews)
- Steep Learning Curve (10 reviews)
- Error Handling (9 reviews)
- Error Reporting (9 reviews)

  ### 19. [Informatica Cloud Data Integration](https://www.g2.com/products/informatica-cloud-data-integration/reviews)
  Cloud Data Integration (CDI) is a comprehensive, AI-powered ETL and ELT solution designed to easily move, transform, and synchronize data between various sources and target systems across any cloud, anywhere, at scale. Built on a modern technology stack, CDI offers easy, efficient and cost-effective data ingestion, transformation, synchronization, and replication for a multi-cloud and serverless world for everyone and everywhere. It covers diverse integration patterns, ensuring you have well-architected and seamlessly automated data pipelines for all your advanced analytics and AI needs.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 101

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10)
- **Automation:** 9.1/10 (Category avg: 8.9/10)
- **Scalability:** 8.9/10 (Category avg: 8.7/10)
- **Auditing:** 8.7/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Informatica](https://www.g2.com/sellers/informatica)
- **Company Website:** https://www.informatica.com
- **Year Founded:** 1993
- **HQ Location:** Redwood City, CA
- **Twitter:** @Informatica (99,880 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3858/ (5,337 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 61% Enterprise, 30% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (3 reviews)
- Efficiency (2 reviews)
- Simple (2 reviews)
- Time-saving (2 reviews)
- Automation (1 reviews)

**Cons:**

- Complexity (1 reviews)
- Complex Usability (1 reviews)
- Debugging Difficulty (1 reviews)
- Difficult Setup (1 reviews)
- Error Messages (1 reviews)

  ### 20. [Frends](https://www.g2.com/products/frends/reviews)
  Frends is a European low-code integration platform as a service (iPaaS) that enables organizations to connect applications, automate workflows, and manage APIs across cloud and on-premises environments. Designed for both developers and business technologists, Frends helps streamline system communication, reduce integration complexity, and support real-time operations. The platform supports a wide range of use cases including ERP modernization, cloud migration, business process automation, and data synchronization between legacy and modern systems. With a graphical interface based on BPMN 2.0 and built-in AI capabilities, Frends makes it easier to build, monitor, and manage integration processes without heavy reliance on custom code. Frends is built on Microsoft .NET and integrates natively with a wide range of systems including Microsoft Dynamics, Salesforce, SAP, and various industry-specific tools. Frends is used across industries such as public sector, utilities, manufacturing, finance, and retail. It is particularly suited for IT teams seeking to unify integration, automation, and API management into a single tool while maintaining compliance and security in distributed environments. Key capabilities include: - Building and managing integrations visually with BPMN 2.0 to accelerate development and collaboration - Automating business processes and system tasks with reusable, scalable workflows - Monitoring integrations in real-time to reduce downtime and improve operational visibility - Managing APIs and connections securely with full version control and access management - Leveraging AI assistance to configure integrations, generate documentation, and streamline onboarding --- Frends has been recognized in the Gartner® Magic Quadrant™ for Enterprise iPaaS and ranks consistently as a G2 High Performer across usability, setup, and implementation. The platform enables faster time-to-value, reduces reliance on custom development, and gives teams the tools to adapt quickly to change, making it a preferred integration solution for organizations in Europe and beyond.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 135

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Automation:** 9.3/10 (Category avg: 8.9/10)
- **Scalability:** 9.2/10 (Category avg: 8.7/10)
- **Auditing:** 8.0/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [FRENDS](https://www.g2.com/sellers/frends)
- **Company Website:** https://frends.com
- **Year Founded:** 1988
- **HQ Location:** Espoo, Uusimaa, Finland
- **Twitter:** @FRENDSplatform (213 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/frends-app/ (288 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Oil & Energy
  - **Company Size:** 55% Mid-Market, 26% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (27 reviews)
- Features (17 reviews)
- Easy Integrations (16 reviews)
- Integrations (16 reviews)
- Integration Capabilities (13 reviews)

**Cons:**

- Missing Features (9 reviews)
- UX Improvement (8 reviews)
- Limited Features (7 reviews)
- Difficult Learning (6 reviews)
- Integration Issues (5 reviews)

  ### 21. [Adverity](https://www.g2.com/products/adverity/reviews)
  Centralized Data Management for the Modern Marketer Adverity is the marketing intelligence platform that empowers agencies and enterprises to transform complex data into confident, AI-powered decisions. Through automated connectivity to 600+ data sources and destinations, unrivalled data transformation capabilities, powerful data governance, and built-in agentic and conversational AI for streamlined data access and insight activation, Adverity enables smarter, faster decision-making. Adverity is used by leading brands and agencies including Unilever, Bosch, IKEA, Barilla, Forbes, GroupM, Publicis, Dentsu, and more.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 253

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)
- **Automation:** 9.0/10 (Category avg: 8.9/10)
- **Scalability:** 8.4/10 (Category avg: 8.7/10)
- **Auditing:** 7.9/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Adverity GmbH](https://www.g2.com/sellers/adverity-gmbh)
- **Company Website:** https://www.adverity.com
- **Year Founded:** 2015
- **HQ Location:** Vienna, Austria
- **Twitter:** @myadverity (1,762 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/5340622/ (292 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst, Data Engineer
  - **Top Industries:** Marketing and Advertising, Information Technology and Services
  - **Company Size:** 42% Mid-Market, 41% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (19 reviews)
- Data Management (14 reviews)
- Integrations (13 reviews)
- Easy Integrations (12 reviews)
- Customer Support (11 reviews)

**Cons:**

- Time-Consuming (8 reviews)
- Data Management (6 reviews)
- Lack of Information (6 reviews)
- Time Delays (6 reviews)
- Difficult Learning (5 reviews)

  ### 22. [Talend Cloud Data Integration](https://www.g2.com/products/talend-cloud-data-integration/reviews)
  Integrate all your cloud and on-premises data with a secure cloud integration platform-as-a-service (iPaaS). Talend Integration Cloud puts powerful graphical tools, prebuilt integration templates, and a rich library of components at your fingertips. Talend Cloud's suite of apps also provide market-leading data integrity and quality solutions, ensuring that you can make data-driven decisions with confidence.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 92

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.1/10)
- **Automation:** 8.7/10 (Category avg: 8.9/10)
- **Scalability:** 8.8/10 (Category avg: 8.7/10)
- **Auditing:** 8.9/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Qlik](https://www.g2.com/sellers/qlik)
- **Year Founded:** 1993
- **HQ Location:** Radnor, PA
- **Twitter:** @qlik (64,285 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,529 employees on LinkedIn®)
- **Phone:** 1 (888) 994-9854

**Reviewer Demographics:**
  - **Who Uses This:** Software Analyst, Data Engineer
  - **Top Industries:** Pharmaceuticals, Information Technology and Services
  - **Company Size:** 64% Enterprise, 30% Mid-Market


  ### 23. [Singular](https://www.g2.com/products/singular/reviews)
  Singular is the only end-to-end marketing attribution and analytics platform that uncovers true ROI across all marketing channels. We transform complex marketing data into actionable insights by unifying campaign data from thousands of channels with cross-device attribution data. Leading brands like LinkedIn, Nike, WB Games, and Rovio rely on Singular to maximize every marketing dollar, eliminate wasted spend, and drive higher user retention. With superior ROI reporting, advanced fraud prevention, user engagement capabilities, and unmatched data accessibility, marketers can finally drive faster growth with smarter insights.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 499

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10)
- **Automation:** 8.9/10 (Category avg: 8.9/10)
- **Scalability:** 8.9/10 (Category avg: 8.7/10)
- **Auditing:** 8.3/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Singular](https://www.g2.com/sellers/singular)
- **Company Website:** https://www.singular.net
- **Year Founded:** 2014
- **HQ Location:** Palo Alto, California
- **Twitter:** @TweetSingular (1,317 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3739623/ (363 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** User Acquisition Manager, Marketing Manager
  - **Top Industries:** Computer Games, Marketing and Advertising
  - **Company Size:** 52% Mid-Market, 26% Small-Business


#### Pros & Cons

**Pros:**

- Customer Support (80 reviews)
- Ease of Use (64 reviews)
- Helpful (47 reviews)
- Features (46 reviews)
- Reporting (36 reviews)

**Cons:**

- Poor Interface Design (18 reviews)
- Poor UI (18 reviews)
- Limitations (16 reviews)
- Data Limitations (15 reviews)
- Limited Attribution Capabilities (15 reviews)

  ### 24. [Hevo Data](https://www.g2.com/products/hevo-data/reviews)
  Hevo is a reliable, cost-effective ELT platform that effortlessly streamlines data integration. As an automated data pipeline solution, Hevo seamlessly syncs data from 150+ sources, including SQL, NoSQL, and SaaS applications, into your data warehouse, automatically transforming it for analytics—removing the need for manual pipeline management. Trusted by over 2,000 data teams in 45+ countries, Hevo enables businesses to centralize their data effortlessly. With an intuitive interface, setting up data pipelines is quick and straightforward—just four easy steps and five minutes to get your data flowing reliably.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 270

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Automation:** 8.8/10 (Category avg: 8.9/10)
- **Scalability:** 8.5/10 (Category avg: 8.7/10)
- **Auditing:** 8.1/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [Hevo Data](https://www.g2.com/sellers/hevo-data)
- **Company Website:** https://hevodata.com/
- **Year Founded:** 2017
- **HQ Location:** San Francisco, California
- **Twitter:** @HevoData (832 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/13296733/ (241 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Data Analyst
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 49% Mid-Market, 40% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (33 reviews)
- Customer Support (23 reviews)
- Easy Integrations (21 reviews)
- Easy Setup (17 reviews)
- No-coding (15 reviews)

**Cons:**

- Expensive (12 reviews)
- Pricing Issues (11 reviews)
- Limited Customization (10 reviews)
- Limitations (8 reviews)
- Complex Setup (5 reviews)

  ### 25. [CloverDX](https://www.g2.com/products/cloverdx/reviews)
  CloverDX is the data integration platform that combines engineering-led pipelines, AI integration, and self-service tools for business users. Host on-prem, in cloud, or hybrid for complete deployment freedom. CloverDX streamlines the entire lifecycle of data—from ingestion and processing to delivery and consumption, enhancing productivity and fostering trust in data. The platform is used by organizations of all sizes, helping companies optimize and orchestrate their data workflows, reduce manual work and errors, and ensure compliance with data governance standards. Data engineers and technical users can build and automate pipelines in a visual + code interface, and business users can also engage with data in user-friendly interfaces, so they can take on data quality, data prep and master data management tasks without needing IT intervention – freeing up technical resource. CloverDX supports a wide range of data sources and formats, enabling users to ingest data from various systems. Robust transformation capabilities allow users to clean, enrich and manipulate data to meet specific business requirements. And CloverDX offers advanced automation features that minimize the need for manual intervention – increasing efficiency and reducing the risk of errors. CloverDX also helps maintain data integrity and accountability throughout the data lifecycle, with full version control and audit trails. Users can track changes and access historical data versions, ensuring they can rely on the accuracy of data at all times. CloverDX is a versatile, flexible data integration solution that addresses the needs of both technical and non-technical users. By combining automation, robust processing capabilities, and a user-friendly interface, it empowers organizations to manage their data more effectively, ultimately leading to better insights, enhanced collaboration and alignment, and improved business outcomes.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 72

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Automation:** 8.7/10 (Category avg: 8.9/10)
- **Scalability:** 8.3/10 (Category avg: 8.7/10)
- **Auditing:** 7.6/10 (Category avg: 8.1/10)


**Seller Details:**

- **Seller:** [CloverDX](https://www.g2.com/sellers/cloverdx)
- **Company Website:** https://www.cloverdx.com/
- **Year Founded:** 2002
- **HQ Location:** Prague
- **Twitter:** @CloverDX (1,242 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/cloverdx/ (56 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Financial Services, Information Technology and Services
  - **Company Size:** 40% Mid-Market, 36% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (9 reviews)
- Automation (7 reviews)
- User Interface (7 reviews)
- Easy Integrations (6 reviews)
- Simple (6 reviews)

**Cons:**

- Poor Documentation (4 reviews)
- Connection Issues (3 reviews)
- Steep Learning Curve (3 reviews)
- Unclear Documentation (3 reviews)
- Complex Usability (2 reviews)



## Parent Category

[Cloud Data Integration Software](https://www.g2.com/categories/cloud-data-integration)



## Related Categories

- [iPaaS Software](https://www.g2.com/categories/ipaas)
- [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms)
- [Data Extraction Tools](https://www.g2.com/categories/data-extraction-tools)



---

## Buyer Guide

### What You Should Know About ETL Tools

### ETL software buying insights at a glance

Organizations today manage data across multiple applications, databases, and cloud environments. [ETL tools](https://www.g2.com/categories/etl-tools) help teams extract, transform, and load that data into centralized systems where it can be analyzed and used for reporting or operational decision-making. As companies adopt [cloud data warehouses](https://www.g2.com/categories/data-warehouse) and modern analytics stacks, these solutions play an important role in keeping data pipelines reliable and consistent. 

The best ETL tools help organizations reduce manual scripting, maintain consistent data pipelines, and support large volumes of data across multiple integrations. As data environments grow more complex, ETL providers increasingly focus on simplifying integrations and enabling faster access to analytics-ready data.

Common use cases focus on simplifying how data moves and gets prepared across systems. Teams use these tools to automate pipelines between SaaS apps, databases, and warehouses, consolidate data for unified reporting, and transform raw inputs into analytics-ready datasets for [BI tools](https://www.g2.com/categories/business-intelligence). They also help maintain consistent, reliable data flows across distributed environments, supporting cloud data warehouses and modern analytics platforms.

Pricing varies across the category depending on the number of integrations, pipeline volume, and transformation complexity. Many vendors use usage-based pricing models tied to data volume or connectors. Entry-level plans often support smaller teams or limited pipelines, while enterprise deployments add advanced monitoring, governance, and scalability capabilities.

### Top 5 FAQs from software buyers

- How do ETL tools support modern data stacks and cloud-based data architectures?
- How well do ETL platforms integrate with cloud data warehouses like BigQuery, Snowflake, or Redshift?
- Which ETL tools simplify pipeline management and reduce maintenance overhead for data teams?
- What level of scalability and performance do ETL solutions provide for large-scale data pipelines?
- Which ETL providers offer the broadest integration support across SaaS applications, databases, and APIs?

G2’s top-rated ETL tools, based on verified reviews, include [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews), [Databricks](https://www.g2.com/products/databricks/reviews), [Domo](https://www.g2.com/products/domo/reviews), [Workato](https://www.g2.com/products/workato/reviews), and [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews).

### What are the top-reviewed ETL Tools on G2?

[**Google Cloud BigQuery**](https://www.g2.com/products/google-cloud-bigquery/reviews)

- Number of Reviews: 324
- Satisfaction: 98
- Market Score: 99
- G2 Score: 98

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

- Number of Reviews: 279
- Satisfaction: 100
- Market Score: 81
- G2 Score: 90

[**Domo**](https://www.g2.com/products/domo/reviews)

- Number of Reviews: 380
- Satisfaction: 88
- Market Score: 73
- G2 Score: 80

[**Workato**](https://www.g2.com/products/workato/reviews)

- Number of Reviews: 224
- Satisfaction: 94
- Market Score: 62
- G2 Score: 78

[**SnapLogic Intelligent Integration Platform (IIP)**](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews)

- Number of Reviews: 172
- Satisfaction: 94
- Market Score: 60
- G2 Score: 77

**Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports))

**Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports))

**G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports))

Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..))

### What I Often See in ETL Tools

#### Feedback Pros: What Users Consistently Appreciate

• **Visual pipeline builders simplify complex multi-source data integrations**

_“I love how the SnapLogic Intelligent Integration Platform (IIP) makes building integrations so easy with its AI-powered and low-code interface, which significantly streamlines design and maintenance for both technical and non-technical users. This platform guides the pipeline design and reduces the manual effort, aligning with its AI-driven workflow approach, and it has been instrumental in helping me automate workflows, improve data flow efficiency, and reduce the integration effort significantly. The initial setup was very easy because it's a cloud-based, self-service platform that minimizes installation effort and helps teams get started quickly. I highly recommend SnapLogic IIP for organizations looking to modernize and accelerate their integration strategy, and I would rate it a 9 for its ease of use.”_

- [Sanket N.](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews/snaplogic-intelligent-integration-platform-iip-review-12380685), SnapLogic Intelligent Integration Platform (IIP) review

• **Extensive connectors enable fast integration across SaaS and databases**

_“We use this every day as a vital part of an integration between our website and database. Easy to use with a number of different integrations available at your fingertips. Assistance was always an email away.”_

- [Nick E.](https://www.g2.com/products/skyvia/reviews/skyvia-review-12443772), Skyvia review

• **Automation capabilities reduce manual pipeline maintenance and data preparation**

_“Workato is an excellent tool for automating tasks and improving processes. What I find truly impressive is that we no longer have to rely on our ERP vendor for new features or automations; instead, we can handle everything ourselves using Workato. Personally, I have implemented numerous enhancements that have greatly benefited the Finance team, resulting in an estimated annual savings of around 1,000 hours. Also tool is so easy to use that you do not need to have any technical knowledge.”_

- [Manvitha K.](https://www.g2.com/products/workato/reviews/workato-review-12106615), Workato review

#### Cons: Where Many Platforms Fall Short

• **Advanced transformations require deeper technical knowledge and configuration**

_“Some advanced use cases require a deeper technical understanding, especially when building custom flows, handling edge cases, or working with complex APIs. The UI can feel overwhelming for new users, and debugging large integrations could be improved with more developer-style tooling. Pricing can also be a consideration for smaller organizations compared to lightweight automation tools.”_

- [Nuri Vladimir E.](https://www.g2.com/products/celigo/reviews/celigo-review-12356472), Celigo review

• **Limited debugging visibility when pipelines fail during complex workloads**

_“Debugging and troubleshooting pipelines can sometimes be difficult. Error messages are not always very detailed, which can slow down the process of identifying issues. The UI is helpful, but complex pipelines can become harder to manage and visualize as they grow. Additionally, monitoring and cost tracking for large workloads requires careful attention, as pipeline executions and data movement activities can accumulate costs quickly.”_

- [Alan R.](https://www.g2.com/products/azure-data-factory/reviews/azure-data-factory-review-12454264), Azure Data Factory

• **Scaling integrations or data volume increases operational management complexity**

_“The pricing model can become expensive for large-scale queries without proper optimization and cost monitoring. The learning curve for advanced features and query optimization techniques requires time investment. Limited support for certain data types and occasional complexity in debugging nested queries could be improved for a better developer experience.”_

- [Alok K.](https://www.g2.com/products/google-cloud-bigquery/reviews/google-cloud-bigquery-review-12237841), Google Cloud BigQuery review

### My Expert Takeaway on ETL Tools in 2026

Looking across the review data, ETL solutions receive consistently strong sentiment, with an average rating of **4.61/5 stars and a 9.22/10 likelihood to recommend**. That tells me most teams see clear value once their pipelines are operational. ETL tools have quietly become core infrastructure for modern data environments, especially as organizations connect more SaaS applications, warehouses, and analytics systems.

What I notice most in the reviews is that teams rarely evaluate ETL platforms only on integrations. Instead, reliability and automation come up repeatedly. Users want pipelines that run consistently without constant monitoring or manual fixes. When pipelines break or debugging becomes difficult, it quickly impacts reporting workflows and downstream analytics.

Another pattern I see is that successful teams treat ETL software as shared infrastructure rather than an isolated engineering tool. Data engineers may design pipelines, but analysts and operations teams often rely on them daily. Platforms that simplify pipeline visibility, monitoring, and maintenance tend to make collaboration easier across teams.

Industry usage patterns also suggest that organizations with growing data environments benefit the most from mature ETL workflows. For buyers evaluating the best ETL tools, the biggest differentiator often comes down to how well a platform keeps pipelines stable and manageable as data complexity grows.

### ETL Tools FAQs

#### What are the best free ETL tools for developers?

Many platforms offer open-source components, limited free tiers, or trial versions that developers use to build and test pipelines.

Common options include:

- [dbt](https://www.g2.com/products/dbt/reviews) **:** An open-source framework used by data teams to transform and model data directly inside data warehouses.
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Offers a limited free usage tier that allows developers to run queries and build data pipelines at small scale.
- [AWS Glue](https://www.g2.com/products/aws-glue/reviews): A serverless data integration service commonly used for large-scale pipelines, typically accessed through free trial credits or limited testing environments.

Developers often use these tools to prototype data pipelines before scaling to production workloads.

#### What are the best no-code or low-code ETL tools?

No-code and low-code ETL tools simplify pipeline creation through visual workflows and prebuilt integrations.

Examples include:

- [Workato](https://www.g2.com/products/workato/reviews): Known for its automation platform and extensive connector ecosystem that simplifies integration workflows.
- [SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews): Uses a visual interface and prebuilt connectors to help teams design data pipelines without heavy coding.
- [Alteryx](https://www.g2.com/products/alteryx/reviews): Offers a drag-and-drop workflow builder designed for analysts working with data preparation and transformation.

These platforms allow data teams to manage pipelines without relying heavily on engineering resources.

#### Which ETL services offer strong security features?

Organizations handling sensitive data often prioritize ETL tools that offer strong governance, access controls, and compliance capabilities.

Platforms commonly used in secure environments include:

- [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews): Integrates with Microsoft’s identity and security framework for controlled data pipelines.
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Supports secure data processing with built-in encryption and governance capabilities.
- [AWS Glue](https://www.g2.com/products/aws-glue/reviews): Provides role-based access controls and integration with AWS security services.

These platforms help organizations maintain secure data movement across complex environments.

#### What’s the leading ETL app for big data analysis?

For large-scale analytics workloads, organizations often use ETL tools that integrate directly with modern data platforms.

Common choices include:

- [Databricks](https://www.g2.com/products/databricks/reviews): Designed for large-scale data engineering, analytics, and machine learning pipelines.
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Enables large-scale data processing and analytics within a cloud data warehouse environment.
- [Fivetran](https://www.g2.com/products/fivetran/reviews): Automates high-volume data ingestion into cloud warehouses for analytics and reporting.

These platforms support large datasets and complex transformation workflows.

#### What are the different types of ETL tools?

ETL tools generally fall into four categories:

- **Open-source ETL tools** : Flexible frameworks for custom pipeline development.
- **Cloud-based ETL platforms** : Managed services that automate data pipelines.
- **No-code or low-code ETL tools** : Visual workflow tools for non-engineering teams.
- **Enterprise ETL solutions** : Platforms built for governance, monitoring, and large-scale data environments.

Each category supports different technical needs and levels of pipeline complexity.

#### Sources

- [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw)
- [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports)

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

Last updated on March 16, 2026