Best ETL Tools for Small Business

How Many ETL Tools Products Does G2 Track?

Total Products under this Category: 290

Category Stats (Nov 2026)

  • Average Rating: 4.55/5 (↓0.01 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: SyntraETL (+1.78%) - Among all products in this category, SyntraETL recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank ETL Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 20,400+ Authentic Reviews
  • 290+ 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 ETL Tools

G2 Grid® for ETL Tools plotting products by satisfaction and market presence

Highlighted products: Databricks, Celigo, Alteryx, Funnel, Skyvia, FME Platform, Google Cloud BigQuery, and IBM watsonx.data.

Underlying data: [Grid® JSON](https://www.g2.com/categories/etl-tools/grids.json?focus%5B%5D=databricks&focus%5B%5D=celigo&focus%5B%5D=alteryx&focus%5B%5D=funnel&focus%5B%5D=skyvia&focus%5B%5D=fme-platform&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=ibm-watsonx-data&segment=small-business)

Databricks

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

Average Rating: 4.6/5.0

Total Reviews: 1,372

How Do G2 Users Rate Databricks?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.1/10)
  • Automation: 9.1/10 (Category avg: 9.0/10)
  • Scalability: 9.2/10 (Category avg: 8.7/10)
  • Auditing: 8.6/10 (Category avg: 8.2/10)

Who Is the Company Behind Databricks?

  • Seller: Databricks Inc.
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Francisco, CA
  • Twitter: @databricks
    92,269 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    14,336 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About Databricks?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use and extensive features of Databricks, streamlining data warehousing and machine learning tasks.
  • Users appreciate the ease of use of Databricks, enhancing their experience with its intuitive interface and efficient features.
  • Users value the seamless integrations with AWS services that enhance efficiency and support diverse business needs.
  • Users value the seamless collaboration provided by Databricks, enhancing teamwork on data projects and insights sharing.
  • Users value the effective data management features of Databricks, simplifying their workflows and enhancing decision-making.
Cons
  • Users face a steep learning curve with Databricks, as its complexity can be confusing for newcomers.
  • Users note that the cost of Databricks can be quite high, particularly for large data projects and limited free options.
  • Users find the steep learning curve of Databricks challenging, particularly for those unfamiliar with big data tools.
  • Users express frustration over missing features in Databricks, limiting its effectiveness for complex deployments and custom setups.
  • Users find the complexity of Databricks challenging, especially during initial setup and navigation of advanced features.

What Are Recent G2 Reviews of Databricks?

What Are G2 Users Discussing About Databricks?

Celigo

Celigo puts intelligent automation in the hands of every team, unifying workflows from the predictable to the fully agentic in a single platform through a first-of-its-kind natural language interface. The platform is recognized by G2 as #1 in iPaaS and a Leader in API Management, API Marketplace, and EDI and is the only vendor named a 2025 Gartner® Peer Insights™ Customers’ Choice for iPaaS. Learn more at: celigo.com.

Average Rating: 4.6/5.0

Total Reviews: 1,087

How Do G2 Users Rate Celigo?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 9.1/10)
  • Automation: 10.0/10 (Category avg: 9.0/10)
  • Scalability: 10.0/10 (Category avg: 8.7/10)
  • Auditing: 10.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Celigo?

  • Seller: Celigo
  • Company Website:
  • Year Founded: 2011
  • HQ Location: Redwood City, California
  • Twitter: @celigoinc
    1,418 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    782 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: NetSuite Administrator, IT Manager
  • Top Industries: Retail, Consumer Goods
  • Company Size: 58% Medium, 37% Small

What Do G2 Reviewers Say About Celigo?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in Celigo, appreciating its intuitive interface and effective connectivity options.
  • Users value the comprehensive integrations offered by Celigo, enabling seamless connections with various business systems effortlessly.
  • Users appreciate the comprehensive integration capabilities of Celigo, facilitating connections with various partners seamlessly.
  • Users praise the easy integrations offered by Celigo, especially with NetSuite, appreciating the prebuilt connectors and solid support.
  • Users praise the responsive and helpful customer support from Celigo, making issue resolution seamless.
Cons
  • Users find that error handling is unclear, making it challenging to resolve issues and track discrepancies efficiently.
  • Users note that Celigo can be expensive, especially for small businesses needing multiple managed modules.
  • Users face a notable learning curve with Celigo, making initial navigation and understanding of flows challenging.
  • Users find pricing issues with Celigo, noting that costs increase with additional features and managed modules.
  • Users report that Celigo’s complexity can lead to frustration, especially when debugging and understanding data flows.

What Are Recent G2 Reviews of Celigo?

What Are G2 Users Discussing About Celigo?

Alteryx

Alteryx is the agentic analytics and automation company that helps organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business, the Alteryx One platform is designed to work across an organization’s existing data and technology ecosystem. It enables business users to produce AI-ready datasets and define, maintain, and update business logic into visual workflows that AI uses to automate operations and insights. This business logic stays visible, understandable, repeatable, and auditable (VURA), so that teams can automate data-intensive workflows without coding. Alteryx closes the last-mile gap between data platforms and the decisions and operations that run the business—giving AI the trusted business context it needs to deliver reliable results. Over 8,000 customers worldwide, including more than half of the Global 2000, rely on Alteryx to improve revenue performance, manage costs, increase operational efficiency, and reduce risk. Collectively, they run more than 380 million workflows on Alteryx each year.

Average Rating: 4.6/5.0

Total Reviews: 931

How Do G2 Users Rate Alteryx?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.1/10)
  • Automation: 9.8/10 (Category avg: 9.0/10)
  • Scalability: 7.8/10 (Category avg: 8.7/10)
  • Auditing: 10.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Alteryx?

  • Seller: Alteryx
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • Twitter: @alteryx
    26,149 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Financial Services, Accounting
  • Company Size: 61% Large, 22% Medium

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Alteryx, finding it simple to automate tasks with drag and drop functionality.
  • Users value the automation capabilities of Alteryx, streamlining data processes and enhancing analytical efficiency.
  • Users find Alteryx to be very intuitive, making it easy for non-technical users to learn and utilize.
  • Users find that Alteryx's interface makes learning technology easy for everyone, even those without a tech background.
  • Users value Alteryx for its efficiency in managing data, streamlining workflows, and enhancing overall productivity.
Cons
  • Users highlight the expensive pricing of Alteryx, making it difficult for small teams or startups to afford licenses.
  • Users face a steep learning curve with Alteryx, requiring time to master its complex features.
  • Users find that Alteryx suffers from missing features, such as lack of direct database access and limited reporting tools.
  • Users find the learning difficulty of Alteryx steep, especially for those unfamiliar with RegEx and SQL.
  • Users experience slow performance with Alteryx, particularly when handling large workflows and during data wrangling tasks.

What Are Recent G2 Reviews of Alteryx?

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Funnel

Funnel is the leading marketing intelligence platform for marketing and data teams. It brings all their marketing data together and puts it to work, from reporting and AI agents to marketing mix modeling (MMM). Funnel collects, stores and prepares marketing data from every source, then makes it available for reporting, measurement, AI workflows and your BI tools or warehouse, all from one trusted foundation. Consistent definitions and complete historical data mean the numbers hold up no matter where the data is used. Funnel Data Hub is the core platform, with 600+ data sources. Funnel Measure builds on that data with marketing mix modeling (MMM), incrementality testing and budget optimization.

Average Rating: 4.5/5.0

Total Reviews: 292

How Do G2 Users Rate Funnel?

  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 9.1/10)
  • Automation: 9.2/10 (Category avg: 9.0/10)
  • Scalability: 8.7/10 (Category avg: 8.7/10)
  • Auditing: 7.4/10 (Category avg: 8.2/10)

Who Is the Company Behind Funnel?

  • Seller: Funnel
  • Company Website:
  • Year Founded: 2014
  • HQ Location: Stockholm, Sweden
  • Twitter: @funnel_io
    21 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    393 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Marketing and Advertising, Retail
  • Company Size: 44% Medium, 41% Small

What Do G2 Reviewers Say About Funnel?

AI-generated summary from verified user reviews

Pros
  • Users find Funnel's ease of use remarkable, streamlining data integration and reporting effortlessly across platforms.
  • Users love the seamless integrations Funnel offers, effortlessly centralizing data from numerous platforms for clear insights.
  • Users love the easy data integration of Funnel, seamlessly connecting marketing and analytics platforms for unified insights.
  • Users value the user-friendly data management capabilities of Funnel, simplifying data centralization and workflow customization.
  • Users appreciate the extensive number of connectors Funnel offers, making integration with various platforms straightforward and beneficial.
Cons
  • Users find the learning curve challenging initially, particularly with data source configurations and connections.
  • Users feel the product is expensive, particularly when needing integrations and facing additional fees for basic connectors.
  • Users find limited connectors and scalability issues frustrating, affecting the overall efficiency of their data integration tasks.
  • Users find missing features in Funnel, such as limited scalability and basic connector fees, frustrating their overall experience.
  • Users experience slow performance, especially with processing time for large data volumes and limited scalability.

What Are Recent G2 Reviews of Funnel?

What Are G2 Users Discussing About Funnel?

Skyvia

Skyvia is a no-code cloud data integration and data pipeline platform that enables ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, real-time connectivity, and much more. Benefits of Using Skyvia: • Cost efficiency: With affordable, flexible pricing plans for each product, Skyvia suites for businesses of any size. • Ease of Use: Based on extensive customer feedback, ease of use is Skyvia's strongest quality. • Flexibility: Skyvia provides adaptable, no-code integration tools for both basic and advanced business scenarios. • Trust: Skyvia is trusted by thousands of data-driven organizations around the globe. With a vast library of 200+ connectors, Skyvia provides seamless integration among various cloud applications, databases, and data warehouses, including Salesforce, Dynamics CRM, QuickBooks Online, SQL Server, Amazon Redshift, Google BigQuery, and others.

Average Rating: 4.8/5.0

Total Reviews: 322

How Do G2 Users Rate Skyvia?

  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 9.1/10)
  • Automation: 9.4/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 9.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Skyvia?

  • Seller: Devart
  • Year Founded: 1997
  • HQ Location: Wilmington, Delaware, USA
  • Twitter: @DevartSoftware
    1,736 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    252 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, Marketing Specialist
  • Top Industries: Information Technology and Services, Marketing and Advertising
  • Company Size: 52% Small, 41% Medium

What Do G2 Reviewers Say About Skyvia?

AI-generated summary from verified user reviews

Pros
  • Users value the intuitive interface of Skyvia, making data integration tasks quick and straightforward.
  • Users appreciate the easy integrations provided by Skyvia, enhancing their workflow across multiple platforms effortlessly.
  • Users find the easy setup of Skyvia invaluable, making data integration straightforward and hassle-free for teams.
  • Users laud the easy setup of Skyvia, making integration fast and user-friendly without any coding required.
  • Users value the real-time data management of Skyvia, enhancing visibility and streamlining operations effortlessly.
Cons
  • Users note an information deficiency in Skyvia, citing a lack of detailed documentation and insufficient logging for troubleshooting.
  • Users find the difficult setup of Skyvia challenging, especially with large datasets and complex integrations.
  • Users note the feature limitations in reporting and query capabilities, which can hinder larger operations.
  • Users find the learning curve steep initially, needing time to fully grasp the platform's functionalities.
  • Users find the poor documentation of Skyvia limits effective use, suggesting improvements for clarity and real-world examples.

What Are Recent G2 Reviews of Skyvia?

What Are G2 Users Discussing About Skyvia?

FME Platform

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: 134

How Do G2 Users Rate FME Platform?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.1/10)
  • Automation: 9.4/10 (Category avg: 9.0/10)
  • Scalability: 8.1/10 (Category avg: 8.7/10)
  • Auditing: 8.9/10 (Category avg: 8.2/10)

Who Is the Company Behind FME Platform?

  • Seller: Safe Software
  • Company Website:
  • Year Founded: 1993
  • HQ Location: British Columbia, Canada
  • Twitter: @SafeSoftware
    4,972 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    353 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, GIS Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 46% Medium, 26% Small

What Do G2 Reviewers Say About FME Platform?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the user-friendly interface of FME Platform, making data workflows efficient and enjoyable to manage.
  • Users value the widespread data handling capabilities of the FME Platform, simplifying complex data workflows seamlessly.
  • Users laud FME Platform for its automation capabilities, enhancing productivity and streamlining complex data workflows effortlessly.
  • Users value the powerful automation and flexibility of FME Platform, enhancing data workflows and productivity significantly.
  • Users value the versatile data transformation capabilities of FME Platform, enhancing workflows and enabling efficient data handling.
Cons
  • Users often find the excessive complexity of FME Platform's automation features overwhelming, especially for less technical users.
  • Users find the pricing model expensive, particularly impacting smaller teams and individual power users seeking affordable options.
  • Users face a steep learning curve with FME Platform, particularly due to its complex UI and technical demands.
  • Users find the steep learning curve of FME Platform challenging, complicating their ability to navigate and understand the software.
  • Users express concerns over pricing issues, finding it increasingly expensive and unfavorable for smaller teams and individual users.

What Are Recent G2 Reviews of FME Platform?

What Are G2 Users Discussing About FME Platform?

Google Cloud BigQuery

BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. 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: 1,154

How Do G2 Users Rate Google Cloud BigQuery?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.1/10)
  • Automation: 8.8/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 8.3/10 (Category avg: 8.2/10)

Who Is the Company Behind Google Cloud BigQuery?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Large, 35% Medium

What Do G2 Reviewers Say About Google Cloud BigQuery?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Google Cloud BigQuery, enabling fast analysis without needing to manage infrastructure.
  • Users appreciate the incredible speed of BigQuery, making data processing effortless and efficient for large datasets.
  • Users appreciate the fast querying capabilities of Google Cloud BigQuery, enabling quick analysis of massive datasets effortlessly.
  • Users value the seamless integrations of Google Cloud BigQuery, enhancing analytics and supporting various data types effortlessly.
  • Users value the query efficiency of BigQuery, enabling fast analysis of massive datasets with minimal effort.
Cons
  • Users find the cost structure expensive, especially with complex queries leading to rapidly escalating charges.
  • Users often face query issues with BigQuery, as inefficient queries can rapidly increase costs and complicate budgeting.
  • Users face cost issues with Google Cloud BigQuery, often leading to unexpectedly high bills and budget management challenges.
  • Users find the cost management challenging, facing unpredictable pricing and needing strict governance to maintain budgets.
  • Users find the steep learning curve for advanced features challenging, requiring significant time and effort to master.

What Are Recent G2 Reviews of Google Cloud BigQuery?

What Are G2 Users Discussing About Google Cloud BigQuery?

IBM watsonx.data

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: 171

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How Do G2 Users Rate IBM watsonx.data?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.1/10)
  • Automation: 6.7/10 (Category avg: 9.0/10)
  • Scalability: 8.8/10 (Category avg: 8.7/10)
  • Auditing: 3.3/10 (Category avg: 8.2/10)

Who Is the Company Behind IBM watsonx.data?

  • Seller: IBM
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Software Developer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 34% Small, 32% Large

What Do G2 Reviewers Say About IBM watsonx.data?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of IBM watsonx.data, finding it reliable and efficient for data management.
  • Users value the seamless data integration and user-friendly interface of IBM watsonx.data for efficient analytics.
  • Users appreciate the organized and efficient data management of IBM watsonx.data, simplifying analytics and enhancing team collaboration.
  • Users value the seamless data source integration of IBM watsonx.data, enhancing efficiency and flexibility in their workflows.
  • Users appreciate the flexible analytics capabilities of IBM watsonx.data, enabling faster insights from diverse data sources.
Cons
  • Users find the steep learning curve of IBM watsonx.data challenging, hindering easy adoption for newcomers.
  • Users find the complexity of setting up IBM watsonx.data a barrier, especially for newcomers and small teams.
  • Users find the pricing steep for IBM watsonx.data, especially for smaller businesses with limited resources.
  • Users find the difficult setup process time-consuming, with a steep learning curve and extensive documentation review required.
  • Users find performance tuning difficult with IBM watsonx.data, especially for beginners and teams with limited IT resources.

What Are Recent G2 Reviews of IBM watsonx.data?

Coupler.io

Coupler.io is a no-code data integration platform that connects 400+ sources and turns them into insights, all in one place. Collect data from your cloud apps, transform it, and load it into spreadsheets, BI tools, data warehouses, or AI agents. No complex setup or technical expertise required. Trusted by 1M+ users at companies like Uber, Netflix, and Airbus, Coupler.io helps marketers, analysts, business owners, sales teams, ecommerce brands, and finance professionals automate their data workflows. With 1,800+ ready-made integrations, you can automatically pull data from Google Ads, Facebook Ads, TikTok Ads, Amazon Ads, Google Analytics, Shopify, QuickBooks, and many more. Blend data from multiple sources and send it to Google Sheets, Looker Studio, Power BI, BigQuery, Claude, ChatGPT, and other destinations. Built-in transformations make data prep simple: join and append data sets, filter, add formulas, or start from ready-made templates. To get reporting off the ground fast, use Coupler.io’s in-app dashboards, browse the free template gallery for third-party BI tools, or build your own dashboards from scratch. Coupler.io is SOC 2 certified and follows the highest standards of data security and privacy to keep your data protected. Take full control of your data, see what works, and scale it with Coupler.io.

Average Rating: 4.8/5.0

Total Reviews: 104

How Do G2 Users Rate Coupler.io?

  • Has the product been a good partner in doing business?: 9.5/10 (Category avg: 9.1/10)
  • Automation: 9.7/10 (Category avg: 9.0/10)
  • Scalability: 8.9/10 (Category avg: 8.7/10)
  • Auditing: 8.3/10 (Category avg: 8.2/10)

Who Is the Company Behind Coupler.io?

  • Seller: Railsware
  • Year Founded: 2007
  • HQ Location: Pasadena, CA, USA
  • Twitter: @railsware
    2,116 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    172 employees on LinkedIn®
  • Ownership: Private

Who Uses This Product?

  • Top Industries: Non-Profit Organization Management, Marketing and Advertising
  • Company Size: 67% Small, 28% Medium

What Do G2 Reviewers Say About Coupler.io?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coupler.io, enabling seamless data integration without complex setups.
  • Users highlight the incredible time savings with Coupler.io, reducing tasks from hours to mere seconds.
  • Users commend Coupler.io for its powerful automation, significantly enhancing reporting speed and reducing manual work.
  • Users value the massive integration library of Coupler.io, enabling quick connections to various platforms for efficient workflows.
  • Users value the seamless data integration capabilities of Coupler.io, significantly enhancing their reporting efficiency and analytics.
Cons
  • Users find the difficult setup of Coupler.io challenging, particularly for complex data models and niche integrations.
  • Users find the complex setup of Coupler.io cumbersome, requiring trial and error for advanced configurations.
  • Users experience a small learning curve with data schemas and interfaces, but it improves significantly with familiarity.
  • Users find Coupler.io to be quite expensive, especially for smaller teams needing multiple connections.
  • Users note a lack of information in Coupler.io, particularly for advanced features and complex data models.

What Are Recent G2 Reviews of Coupler.io?

What Are G2 Users Discussing About Coupler.io?

Maia

Maia is an AI Data Automation platform powered by autonomous AI agents that build, maintain, and evolve data products, thus eliminating manual data work. Maia empowers CDAOs and enterprise data teams to deliver data products at machine scale while maintaining governance. Its integrated platform combines specialized agents in Maia Team, grounded in the organizational data intelligence of the Maia Context Engine and executed through the governed data tools of Maia Foundation. Organizations like EDF, St. James’ Place, and Nature’s Touch use Maia to automate data work at scale, modernize platforms, and accelerate AI roadmaps without expanding headcount. See Maia for yourself.

Average Rating: 4.5/5.0

Total Reviews: 128

How Do G2 Users Rate Maia?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 9.1/10)
  • Automation: 9.1/10 (Category avg: 9.0/10)
  • Scalability: 8.7/10 (Category avg: 8.7/10)
  • Auditing: 7.8/10 (Category avg: 8.2/10)

Who Is the Company Behind Maia?

  • Seller: Matillion
  • Company Website:
  • Year Founded: 2011
  • HQ Location: Salford, GB
  • Twitter: @matillion
    7,362 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    473 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Medium, 31% Large

What Do G2 Reviewers Say About Maia?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Maia, making configuration and understanding features accessible for all users.
  • Users value the seamless automation of Matillion, enhancing efficiency and simplifying the ETL process effortlessly.
  • Users appreciate the simple and user-friendly interface of Matillion, making ETL processes effortless for everyone.
  • Users appreciate Matillion's intuitive interface that simplifies complex tasks and enhances user comfort for all experience levels.
  • Users highlight the ETL efficiency of Maia, enjoying its user-friendly and scalable integration with major cloud platforms.
Cons
  • Users face feature limitations in Maia, impacting job performance and complicating template reusability efforts.
  • Users find Maia to be expensive, especially as data volume increases and costs can accumulate quickly.
  • Users face performance issues with Jython and single-thread limitations, while cloud features are lacking compared to the server version.
  • Users express concern over cloud dependency, facing challenges with limited customization and additional costs at scale.
  • Users report API limitations in Maia, particularly lacking administrative access features and raw data export options.

What Are Recent G2 Reviews of Maia?

What Are G2 Users Discussing About Maia?

Parabola

Prowork by Parabola is the AI-native platform for the long tail of finance and operations. It helps the people closest to each process turn scattered operational data and undocumented, changing logic into visible, code-backed Flows. Teams can get a useful analysis or Artifact immediately, validate the implementation on live data, deploy it as a managed agent, and continuously improve it. Prowork is built for whole operational datasets and gives IT the permissions, monitoring, lineage, version history, and controls required for production.

Average Rating: 4.9/5.0

Total Reviews: 98

How Do G2 Users Rate Parabola?

  • Has the product been a good partner in doing business?: 9.9/10 (Category avg: 9.1/10)
  • Automation: 9.7/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 8.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Parabola?

  • Seller: Parabola
  • Year Founded: 2017
  • HQ Location: San Francisco, CA
  • Twitter: @parabolahq
  • LinkedIn® Page: www.linkedin.com
    79 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Consumer Goods, Retail
  • Company Size: 51% Medium, 37% Small

What Do G2 Reviewers Say About Parabola?

AI-generated summary from verified user reviews

Pros
  • Users value the effortless automation capabilities of Parabola, streamlining tasks and enhancing productivity remarkably.
  • Users find the ease of use in Parabola exceptional, enabling efficient automation without a coding background.
  • Users find Parabola's intuitive interface empowering, facilitating easy automation of tasks without any coding experience.
  • Users value the time-saving automation capabilities of Parabola, significantly enhancing their team's efficiency and productivity.
  • Users highly value the time-saving capabilities of Parabola, significantly streamlining their data workflows and processes.
Cons
  • Users find the limitations in data manipulation steps can make building flows more complicated and time-consuming.
  • Users experience a steep learning curve with Parabola, making initial use challenging, but progress improves afterwards.
  • Users find that time consumption in Parabola can hinder efficiency and extend deployment timelines despite eventual reliability.
  • Users often face data inaccuracy issues with Parabola, requiring double-checks to ensure report reliability.
  • Users express frustration with the limited export options, especially regarding large datasets and data rewriting issues.

What Are Recent G2 Reviews of Parabola?

What Are G2 Users Discussing About Parabola?

Weld

Weld delivers an ultra-fast, secure, and reliable way to move data from all your tools, applications, and databases into cloud data warehouses, such as Snowflake, BigQuery, and Databricks. Deploy data pipelines in minutes with connectors that adapt to schema changes, detect duplicates, self-heal on failure, and run without maintenance, so your data team can focus on insights, not infrastructure.

Average Rating: 4.8/5.0

Total Reviews: 110

How Do G2 Users Rate Weld?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.1/10)
  • Automation: 8.9/10 (Category avg: 9.0/10)
  • Scalability: 9.2/10 (Category avg: 8.7/10)
  • Auditing: 7.9/10 (Category avg: 8.2/10)

Who Is the Company Behind Weld?

  • Seller: Weld
  • Company Website:
  • Year Founded: 2021
  • HQ Location: Copenhagen, DK
  • Twitter: @WeldHQ
    98 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    94 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO
  • Top Industries: Computer Software, Retail
  • Company Size: 58% Small, 41% Medium

What Do G2 Reviewers Say About Weld?

AI-generated summary from verified user reviews

Pros
  • Users admire the ease of use of Weld, appreciating its seamless integration and intuitive setup process.
  • Users praise the excellent customer support of Weld, noting quick resolutions and a highly responsive team.
  • Users appreciate the exceptional support from Weld, along with its easy setup and helpful AI assistant features.
  • Users praise Weld's automation capabilities, enabling efficient data integration and analysis with minimal technical expertise required.
  • Users value the easy and efficient data integration offered by Weld, simplifying complex data management tasks significantly.
Cons
  • Users find the limited connectors on the basic plan restrictive, though many needs are still met with Weld.
  • Users find the connector limitations in Weld's basic plan restrictive, impacting their ability to integrate fully.
  • Users are concerned about the lack of native connectors, impacting integration flexibility with some tools.
  • Users find the limited integrations in Weld somewhat restrictive, affecting their connectivity and experience.
  • Users experience connectivity issues with Weld, as some tools lack direct connectors and require third-party solutions.

What Are Recent G2 Reviews of Weld?

5X

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?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 9.1/10)
  • Automation: 9.5/10 (Category avg: 9.0/10)
  • Scalability: 9.5/10 (Category avg: 8.7/10)
  • Auditing: 9.4/10 (Category avg: 8.2/10)

Who Is the Company Behind 5X?

  • Seller: 5X
  • Year Founded: 2020
  • HQ Location: San Francisco
  • Twitter: @DataWith5x
    49 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    104 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About 5X?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of 5X, thanks to its intuitive interface and seamless integration with existing tools.
  • Users appreciate the responsive customer support of 5X, enhancing their overall experience with swift feature updates.
  • Users value the seamless integration and intuitive design of 5X, enabling efficient data management and automation.
  • Users value the seamless integration capabilities of 5X, enhancing efficiency in managing diverse data sources effortlessly.
  • Users appreciate the seamless data integration of 5X, significantly enhancing workflow efficiency and team collaboration.
Cons
  • New users face a steep learning curve, but training helps ease the transition to the platform's features.
  • Users find the setup process complex, leading to delays and challenges in implementing advanced features and workflows.
  • Users note the feature limitations of 5X, as some advanced options are still in development and may require patience.
  • Users find a steep learning curve initially, but become proficient with training and support over time.
  • Users find the difficult setup of 5X challenging due to complexity and a steep learning curve.

What Are Recent G2 Reviews of 5X?

Coefficient

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.

Average Rating: 4.7/5.0

Total Reviews: 206

How Do G2 Users Rate Coefficient?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.1/10)
  • Automation: 9.3/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 8.6/10 (Category avg: 8.2/10)

Who Is the Company Behind Coefficient?

  • Seller: Coefficient
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Palo Alto, CA
  • Twitter: @coefficient_io
    346 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    70 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Medium, 35% Small

What Do G2 Reviewers Say About Coefficient?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coefficient, enjoying seamless data extraction and hassle-free synchronization across tools.
  • Users value the automation capabilities of Coefficient, making data management effortless and efficient.
  • Users appreciate the seamless integrations of Coefficient, enabling effortless data flow between systems like Salesforce and QuickBooks.
  • Users value the time-saving automation of Coefficient, reclaiming hours in their weekly reporting tasks.
  • Users find easy integrations with Coefficient seamless, enhancing productivity and simplifying their data workflow considerably.
Cons
  • Users find the limited filtering options in Coefficient restrictive and detrimental to their data analysis experience.
  • Users find the feature limitations of Coefficient frustrating, particularly with filtering and integration challenges.
  • Users find the limit of Google Sheets for multiple filters and imports restricts their data management capabilities.
  • Users find the missing features in Coefficient limiting, especially with filters and integrating charts from SFDC.
  • Users face integration issues with Coefficient, leading to frustrating limitations when connecting to other tools and systems.

What Are Recent G2 Reviews of Coefficient?

Fivetran

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

Average Rating: 4.3/5.0

Total Reviews: 837

How Do G2 Users Rate Fivetran?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.1/10)
  • Automation: 8.9/10 (Category avg: 9.0/10)
  • Scalability: 8.5/10 (Category avg: 8.7/10)
  • Auditing: 7.4/10 (Category avg: 8.2/10)

Who Is the Company Behind Fivetran?

  • Seller: Fivetran
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Oakland, CA
  • Twitter: @fivetran
    5,767 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,902 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About Fivetran?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of integration and maintenance with Fivetran, enhancing their ROI and workflow efficiency.
  • Users value the easy setup of Fivetran, appreciating its seamless integration with existing applications.
  • Users value the easy integration of Fivetran, seamlessly connecting with existing applications and enhancing data access.
  • Users value the responsive customer support from Fivetran, enhancing their overall experience and satisfaction.
  • Users appreciate the intuitive and simple layout of Fivetran, making data management efficient and accessible.
Cons
  • Users report experiencing sync issues that disrupt functionality, causing unpredictable failures and complications in workflow management.
  • Users find Fivetran's pricing to be quite expensive, which limits accessibility and flexibility for wider usage.
  • Users face integration issues with Fivetran, particularly regarding schema ownership and modifying connections amidst platform changes.
  • Users find Fivetran's pricing issues hinder accessibility and flexibility, making it less feasible for broader use.
  • Users find the learning curve steep, requiring technical knowledge to navigate Fivetran effectively at first.

What Are Recent G2 Reviews of Fivetran?

What Are G2 Users Discussing About Fivetran?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated