Best ETL Tools for Small Business - Page 3

How Many ETL Tools Products Does G2 Track?

Total Products under this Category: 324

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
  • 21,500+ Authentic Reviews
  • 324+ 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 Coupler.io.

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=coupler-io&segment=small-business)

ClicData

ClicData is a cloud-based data platform that spans multiple product categories: Business Intelligence, ETL, Data Warehousing and Data Lakehouse, Data Visualization, Embedded Analytics, and AI-powered Analytics. It is built to support the full data lifecycle: from ingestion and storage to transformation, visualization, and distribution within a single environment, extended with native AI capabilities and an MCP (Model Context Protocol) server for programmatic AI integration. Mid-market companies use ClicData to consolidate data workflows that would otherwise require separate tools for each stage. The platform is used across industries including retail, healthcare, media, manufacturing, and public services, by both centralized data teams and operational groups managing their own reporting needs. Core Capabilities - Connecting to databases, cloud applications, APIs, and flat files through a library of pre-built connectors - Storing and organizing data in an integrated data warehouse and data lake structure - Cleaning and transforming data using no-code ETL interfaces or SQL - Building dashboards and reports using a drag-and-drop editor or an AI dashboard builder that generates interactive, fully functional dashboards from plain-language prompts - Asking questions about your data in natural language with Ask AI: get instant answers, trend summaries, and data explanations directly inside ClicData, no query language required -Detecting anomalies and surfacing forecasts automatically, with AI-assisted insights embedded directly in dashboards and alerts -Scheduling data refreshes, automating alerts, and delivering reports on defined triggers - Embedding dashboards into third-party platforms or client-facing applications - Extending analysis with Python scripts for statistical modeling or machine learning workflows - Connecting external AI agents and tools via ClicData's MCP server, enabling AI assistants and automation workflows to query, manage, and act on ClicData resources programmatically For Leadership and Business Leaders ClicData provides a governed environment where data from multiple sources can be consolidated and made available across teams. It reduces dependency on ad hoc data requests by giving team leads and operational teams direct access to up-to-date dashboards and reports. AI is built into the platform, not bolted on. Ask AI lets business leaders pose plain-language questions directly to their data and receive instant, contextual answers without waiting on an analyst. Anomaly detection and automated alerting mean leadership is notified of significant changes in key metrics the moment they occur, with no manual monitoring required. For Data Practitioners Data engineers and analysts can manage the full pipeline: ingestion, transformation, modeling, and delivery without switching between tools. ClicData supports both no-code and SQL or Python-based transformation, version-controlled data flows, and predictive model development. AI capabilities are deeply integrated at the pipeline level: practitioners can embed automated data quality checks, predictive models, and AI-generated enrichments directly into existing data flows. The MCP server opens a new integration surface: external AI agents, LLM-based workflows, and developer tools can connect to ClicData via the Model Context Protocol to read data, trigger actions, and orchestrate pipelines programmatically, making ClicData a first-class citizen in modern AI-native data stacks. For Operational and Business Users Teams outside of IT can access curated dashboards, apply filters, and work with data that has already been validated upstream. Ask AI surfaces trends, forecasts, and anomalies in plain language, making it possible for non-technical users to act on predictive insights without any analytical expertise. Embedded analytics capabilities allow organizations to surface data, including AI-generated insights, directly within the products or portals their end users already work in, with no separate BI login required. ClicData addresses the common challenge of fragmented data stacks by covering data engineering, storage, analytics, and now AI in one platform. With native Ask AI, an AI dashboard builder, automated anomaly detection, and an MCP server for AI agent integration, ClicData is built for organizations that want intelligence embedded throughout their data workflows, not as an afterthought. It is suited for growing organizations looking to standardize how data is collected, managed, consumed, and acted on across different teams and functions.

Average Rating: 4.5/5.0

Total Reviews: 44

How Do G2 Users Rate ClicData?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.1/10)
  • Automation: 6.7/10 (Category avg: 9.0/10)
  • Scalability: 8.3/10 (Category avg: 8.7/10)
  • Auditing: 1.7/10 (Category avg: 8.2/10)

Who Is the Company Behind ClicData?

  • Seller: ClicData
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Lille, France
  • LinkedIn® Page: www.linkedin.com
    47 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 53% Small, 31% Medium

What Are Recent G2 Reviews of ClicData?

What Are G2 Users Discussing About ClicData?

Singular

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: 4.6/5.0

Total Reviews: 544

How Do G2 Users Rate Singular?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 9.1/10)
  • Automation: 8.9/10 (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 Singular?

  • Seller: Singular
  • Company Website:
  • Year Founded: 2014
  • HQ Location: Palo Alto, California
  • LinkedIn® Page: www.linkedin.com
    361 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: User Acquisition Manager, Marketing Manager
  • Top Industries: Computer Games, Financial Services
  • Company Size: 52% Medium, 27% Small

What Do G2 Reviewers Say About Singular?

AI-generated summary from verified user reviews

Pros
  • Users highlight the best-in-class customer support from Singular, noting its responsiveness and quick resolution of issues.
  • Users value the ease of use of Singular, benefiting from clear dashboards and straightforward onboarding.
  • Users find Singular's support and customer service exceptionally helpful, ensuring timely assistance and tailored solutions for their needs.
  • Users appreciate the flexibility and transparency of Singular, enhancing data analysis and decision-making efficiency.
  • Users value the comprehensive reporting capabilities of Singular, enhancing their campaign management and insights effectively.
Cons
  • Users find the poor interface design of Singular can hinder functionality and requires additional support for effective use.
  • Users find the UI to be unintuitive, often requiring extra support and feeling less flexible than desired.
  • Users note the inability to share boards without being linked, impacting collaboration and creating reporting challenges.
  • Users note significant data limitations with Singular, impacting attribution accuracy and analysis of campaigns.
  • Users find the limited attribution capabilities of Singular hinder accurate tracking and reporting for effective campaign management.

What Are Recent G2 Reviews of Singular?

What Are G2 Users Discussing About Singular?

dbt

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.

Average Rating: 4.7/5.0

Total Reviews: 208

How Do G2 Users Rate dbt?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.1/10)
  • Automation: 9.4/10 (Category avg: 9.0/10)
  • Scalability: 9.2/10 (Category avg: 8.7/10)
  • Auditing: 8.3/10 (Category avg: 8.2/10)

Who Is the Company Behind dbt?

  • Seller: Fivetran
  • Year Founded: 2012
  • HQ Location: Oakland, CA
  • LinkedIn® Page: www.linkedin.com
    1,902 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About dbt?

AI-generated summary from verified user reviews

Pros
  • Users find dbt's ease of use exceptional, with straightforward setup and intuitive features enhancing their data transformation processes.
  • Users appreciate the maintainability and clarity of dbt's SQL code base, enhancing collaboration and data transformations.
  • Users value the automation of data workflows with dbt, enhancing maintainability and collaboration in SQL transformations.
  • Users love the ease of transforming data with dbt, allowing for organized and efficient analytics workflows.
  • Users value the seamless integrations of dbt with various platforms, enhancing their modeling and transformation processes.
Cons
  • Users find that dbt has limited functionality due to rigidness and complex debugging, hindering project progress.
  • Users face dependency issues in dbt, as model errors and upstream changes complicate troubleshooting and disrupt workflows.
  • Users find the steep learning curve of dbt daunting, needing mastery of concepts like Jinja and Git.
  • Users encounter poor error handling with unclear messages, making troubleshooting frustrating and complicating the user experience.
  • Users often face confusing error reporting and unclear messages, making troubleshooting and identifying issues challenging.

What Are Recent G2 Reviews of dbt?

What Are G2 Users Discussing About dbt?

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Adverity

Adverity is the marketing data intelligence company seen as the foundation that makes enterprise marketing AI work. Adverity Connect is an enterprise-grade marketing ETL. It pulls data from 600+ sources, harmonizes it so metrics are comparable across platforms, monitors it continuously for quality, and delivers it into the customer's warehouse. The data foundation for marketing. Adverity Atlas is a marketing knowledge layer. It sits on top of any data warehouse and gives AI the knowledge and context to work accurately on marketing data. Use it through the UI and it works as an autonomous marketing analyst. Connect it to your own AI program and it becomes the knowledge layer your agents run on. Connect builds the data foundation. Adverity Atlas is the knowledge layer that makes marketing AI work. Built from a decade of enterprise brand and agency deployments representing over $80 billion in managed ad spend.

Average Rating: 4.4/5.0

Total Reviews: 321

How Do G2 Users Rate Adverity?

  • 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: 8.3/10 (Category avg: 8.7/10)
  • Auditing: 7.9/10 (Category avg: 8.2/10)

Who Is the Company Behind Adverity?

  • Seller: Adverity GmbH
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Vienna, Austria
  • LinkedIn® Page: www.linkedin.com
    332 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Engineer
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 44% Medium, 37% Small

What Do G2 Reviewers Say About Adverity?

AI-generated summary from verified user reviews

Pros
  • Users find Adverity's platform to be incredibly easy to use, enhancing data integration and minimizing management headaches.
  • Users appreciate the easy centralization and standardization of data, enhancing marketing and business insights effectively.
  • Users value the extensive integrations of Adverity, enabling seamless connection to various data sources and tools.
  • Users value the easy integrations in Adverity, streamlining data centralization from various sources effortlessly.
  • Users commend the responsive customer support of Adverity, ensuring timely assistance and effective solutions during setup and beyond.
Cons
  • Users experience time-consuming processes with Adverity, particularly when dealing with large-scale data pipelines and automation delays.
  • Users experience data management issues with unrecoverable mistakes and difficulty in tracking changes, impacting usability.
  • Users experience a lack of information due to unclear error messages and insufficient ticket follow-up, causing frustration.
  • Users experience time delays in data pipeline processes, impacting efficiency and confidence in scalability and reporting.
  • Users warn of a difficult learning curve with Adverity, requiring more support for effective use of its features.

What Are Recent G2 Reviews of Adverity?

What Are G2 Users Discussing About Adverity?

hotglue

hotglue is a developer-first embedded iPaaS founded by engineers to help B2B SaaS companies like Chargebee, Instructure, and SpotOn offer integrations in their product with other platforms. Based out of Washington DC, our team focuses on providing robust integration solutions that developers actually want to use. Our platform offers pre-built connectors to hundreds of SaaS applications (like Salesforce, NetSuite, Quickbooks, and more) while maintaining code-level control, custom transformations, and complete white-labeling capabilities. We handle the authentication, infrastructure, and connection UI while giving developers the flexibility they need. hotglue transforms integrations from engineering challenges into sales advantages for early-stage B2B SaaS companies. We enable teams to rapidly deploy customer-facing integrations that feel native to your product, helping close deals faster with significantly less engineering effort.

Average Rating: 4.9/5.0

Total Reviews: 42

How Do G2 Users Rate hotglue?

  • Has the product been a good partner in doing business?: 9.9/10 (Category avg: 9.1/10)
  • Automation: 9.9/10 (Category avg: 9.0/10)
  • Scalability: 9.9/10 (Category avg: 8.7/10)
  • Auditing: 8.5/10 (Category avg: 8.2/10)

Who Is the Company Behind hotglue?

  • Seller: hotglue
  • Year Founded: 2019
  • HQ Location: Washington , US
  • LinkedIn® Page: www.linkedin.com
    22 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CTO
  • Top Industries: Computer Software
  • Company Size: 76% Small, 19% Medium

What Do G2 Reviewers Say About hotglue?

AI-generated summary from verified user reviews

Pros
  • Users value the speed and ease of integration with Hotglue, allowing quick setup and smooth functionality.
  • Users praise the responsive customer support of Hotglue, enhancing their experience and troubleshooting effortlessly.
  • Users value the easy integrations with Hotglue, enabling quick setup and access to diverse customer systems.
  • Users value the customizable integrations of Hotglue, significantly enhancing diverse customer offerings and streamlining data processes.
  • Users value the flexibility of Hotglue, enabling swift integrations and efficient management of data flows across systems.
Cons
  • Users find difficult configuration challenging with Hotglue, but support is available to help navigate complexities effectively.
  • Users find the poor documentation challenging, especially for advanced configurations, despite strong support from the Hotglue team.
  • Users find the initial setup complex, but appreciate the excellent support available to ease the configuration process.
  • Users find the complexity in managing workflows of Hotglue overwhelming, suggesting a need for simpler configurations.
  • Users find the complex onboarding process overwhelming, suggesting more guided workflows would enhance the experience.

What Are Recent G2 Reviews of hotglue?

What Are G2 Users Discussing About hotglue?

Peliqan

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

Average Rating: 4.8/5.0

Total Reviews: 91

How Do G2 Users Rate Peliqan?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.1/10)
  • Automation: 9.2/10 (Category avg: 9.0/10)
  • Scalability: 9.2/10 (Category avg: 8.7/10)
  • Auditing: 8.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Peliqan?

  • Seller: Peliqan
  • Company Website:
  • Year Founded: 2022
  • HQ Location: Gent
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About Peliqan?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Peliqan, enjoying seamless integration and effortless data management processes.
  • Users value the effortless integrations of Peliqan, enhancing data accessibility and automation in their workflows.
  • Users value the easy integrations of Peliqan, which streamline workflows and enhance operational efficiency across various platforms.
  • Users value the extensive pre-built connectors of Peliqan, enabling efficient data integration and faster client onboarding.
  • Users value the real-time data access and smooth integration capabilities of Peliqan for effective data management.
Cons
  • Users find the learning difficulty of Peliqan challenging, requiring technical expertise for setup and usage.
  • Users find Peliqan requires significant technical skills for setup and data transformation, limiting accessibility for non-tech users.
  • Users highlight feature limitations of Peliqan, requiring external tools for complete BI functionality and custom report creation.
  • Users find that Peliqan's steep learning curve requires expertise for optimal use and initial setup can be time-consuming.
  • Users find a steep learning curve for non-tech individuals due to required Python, SQL, and machine learning knowledge.

What Are Recent G2 Reviews of Peliqan?

SnapLogic Agentic Integration and Applied AI Platform

The SnapLogic Platform is an agentic integration and automation solution designed to assist enterprise teams in connecting applications, data sources, and APIs while orchestrating AI-powered workflows across both cloud and on-premises environments. Established in 2006 and headquartered in San Mateo, California, SnapLogic serves a diverse range of industries, including financial services, pharmaceuticals, manufacturing, software, and higher education, with a global presence across North America, Europe, and Asia Pacific. Targeted primarily at IT teams, data engineers, and integration specialists, the SnapLogic Platform addresses the critical need for seamless data movement between systems, automation of business processes, and governance of AI agent activities at scale. The platform supports various use cases, including application integration, data pipeline management, API lifecycle management, legacy system modernization, and enterprise AI orchestration. This versatility makes it a valuable tool for organizations looking to enhance their operational efficiency and data accessibility. Key features of the SnapLogic Platform include a visual, low-code pipeline builder that allows teams to create, test, and deploy integrations without the need for extensive coding knowledge. This drag-and-drop designer significantly reduces reliance on developer resources, enabling quicker project turnaround. Additionally, the platform boasts a pre-built Snaps connector library, offering over 1,000 reusable connectors for various enterprise applications, databases, cloud services, and data platforms. This extensive library supports both simple and complex integration patterns, streamlining the integration process. Another notable feature is SnapGPT, an AI co-pilot integrated into the platform that assists users in generating integration pipelines, suggesting data mappings, and troubleshooting issues using natural language inputs. This innovative tool enhances user experience and efficiency, making it easier for teams to navigate the complexities of integration. The platform also includes robust API management tools for creating, publishing, securing, and monitoring APIs, facilitating the exposure and consumption of data services across internal and external systems. Moreover, SnapLogic enables agentic workflow automation, allowing users to design and orchestrate AI agents that execute multi-step business processes. With built-in support for the Model Context Protocol (MCP), organizations can effectively manage agent interactions across various models and tools. The platform also supports data integration and transformation for batch, real-time, and streaming data pipelines, equipped with capabilities for mapping, enrichment, and transformation of both structured and unstructured data. Centralized monitoring and governance features provide a unified dashboard for tracking pipeline performance, managing access controls, and ensuring auditability across all integration and automation activities. The SnapLogic Platform addresses common challenges organizations face when scaling their technology operations: fragmented data across disconnected systems, high integration development costs, and the complexity of deploying AI in regulated or mission-critical environments. By providing a unified platform for both traditional integration and agentic automation, it reduces reliance on custom-coded connectors and enables teams to build and manage integrations without requiring deep software engineering expertise.

Average Rating: 4.4/5.0

Total Reviews: 382

How Do G2 Users Rate SnapLogic Agentic Integration and Applied AI Platform?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.1/10)
  • Automation: 8.6/10 (Category avg: 9.0/10)
  • Scalability: 8.4/10 (Category avg: 8.7/10)
  • Auditing: 8.1/10 (Category avg: 8.2/10)

Who Is the Company Behind SnapLogic Agentic Integration and Applied AI Platform?

  • Seller: SnapLogic
  • Company Website:
  • Year Founded: 2006
  • HQ Location: San Mateo, CA
  • LinkedIn® Page: www.linkedin.com
    301 employees on LinkedIn®
  • Phone: (888) 494-1570

Who Uses This Product?

  • Who Uses This: Data Engineer, Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 46% Large, 37% Medium

What Do G2 Reviewers Say About SnapLogic Agentic Integration and Applied AI Platform?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of SnapLogic IIP, enabling quick connections and streamlined workflows without extensive coding.
  • Users highly value the easy integrations offered by SnapLogic, making complex data management tasks simple and efficient.
  • Users appreciate the easy integration capability of SnapLogic, enabling seamless connections between various tools and systems.
  • Users appreciate the intuitive user interface of SnapLogic IIP, enabling easy and efficient complex integrations.
  • Users value the automation capabilities of SnapLogic IIP, streamlining complex integrations and enhancing workflow efficiency.
Cons
  • Users face performance issues with slow loading and frequent memory problems when handling large datasets in SnapLogic.
  • Users experience poor performance when processing large workloads, leading to frustration and inefficiency during integration tasks.
  • Users find technical difficulties with SnapLogic, including complex transformations, debugging challenges, and performance issues.
  • Users find the debugging complexity challenging, leading to confusion and impacting their overall experience with SnapLogic IIP.
  • Users find that error reporting lacks detail, making troubleshooting a time-consuming and confusing process.

What Are Recent G2 Reviews of SnapLogic Agentic Integration and Applied AI Platform?

What Are G2 Users Discussing About SnapLogic Agentic Integration and Applied AI Platform?

IBM StreamSets

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: 113

How Do G2 Users Rate IBM StreamSets?

  • Has the product been a good partner in doing business?: 8.2/10 (Category avg: 9.1/10)
  • Automation: 7.7/10 (Category avg: 9.0/10)
  • Scalability: 7.5/10 (Category avg: 8.7/10)
  • Auditing: 7.2/10 (Category avg: 8.2/10)

Who Is the Company Behind IBM StreamSets?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM
  • Phone: 1-866-277-7488

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 43% Large, 34% Medium

What Do G2 Reviewers Say About IBM StreamSets?

AI-generated summary from verified user reviews

Pros
  • Users find IBM StreamSets to offer ease of use with its intuitive interface and beginner-friendly pipeline creation.
  • Users appreciate the user-friendly drag-and-drop interface of IBM StreamSets, enhancing pipeline visualization and debugging efficiency.
  • Users love the effective data management capabilities of IBM StreamSets, simplifying pipeline creation and monitoring across environments.
  • Users appreciate the simplicity of data integration workflows in IBM StreamSets, enjoying its intuitive visual pipeline design.
  • Users appreciate the wide range of integrations in IBM StreamSets, enhancing real-time data handling and simplifying workflows.
Cons
  • Users struggle with the steep learning curve of IBM StreamSets, highlighting the need for deeper technical knowledge and better guidance.
  • Users find the cost of IBM StreamSets to be a concern, especially for smaller teams with limited budgets.
  • Users find the learning difficulty of advanced features in StreamSets challenging, impacting onboarding and overall experience.
  • Users experience slow performance with IBM StreamSets, particularly when managing large data volumes or complex configurations.
  • Users struggle with the steep learning curve of IBM StreamSets, requiring deep technical knowledge to use advanced features.

What Are Recent G2 Reviews of IBM StreamSets?

What Are G2 Users Discussing About IBM StreamSets?

Dataslayer.ai

Dataslayer.ai is a super easy-to-use marketing data automation tool that takes the hassle out of managing your data. It connects with all the major platforms like Google Analytics, Google Ads, Meta, LinkedIn, and more, so you can automate data extraction, reporting, and visualization without the headache. With Dataslayer.ai, you can pull data from multiple sources straight into Google Sheets, Looker Studio, BigQuery or your favorite BI tools. This saves you loads of time and cuts down on manual errors, helping you make better decisions, run stronger campaigns, and get valuable insights faster. Some standout features include automated reports, real-time data syncing, customizable dashboards, and powerful data filters. Whether you're a marketer, agency, or business, Dataslayer.ai helps you stay on top of your marketing analytics, boost efficiency, and get the results you're after. If you're ready to ditch the manual work and take your marketing data game to the next level, Dataslayer.ai has got you covered!

Average Rating: 4.8/5.0

Total Reviews: 310

How Do G2 Users Rate Dataslayer.ai?

  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 9.1/10)
  • Automation: 9.3/10 (Category avg: 9.0/10)
  • Scalability: 8.9/10 (Category avg: 8.7/10)
  • Auditing: 8.6/10 (Category avg: 8.2/10)

Who Is the Company Behind Dataslayer.ai?

Who Uses This Product?

  • Who Uses This: CEO, Marketing Consultant
  • Top Industries: Marketing and Advertising, Retail
  • Company Size: 63% Small, 30% Medium

What Do G2 Reviewers Say About Dataslayer.ai?

AI-generated summary from verified user reviews

Pros
  • Users find Dataslayer.ai to be easy to use, making complex tasks quick and efficient even for beginners.
  • Users love the seamless integrations of Dataslayer.ai, connecting marketing data effortlessly and saving valuable time.
  • Users appreciate the friendly and supportive customer support of Dataslayer.ai, enhancing their onboarding experience and satisfaction.
  • Users value the large number of connectors offered by Dataslayer.ai, enhancing their marketing analytics capabilities significantly.
  • Users praise the intuitive dashboard and stable connectors of Dataslayer.ai, appreciating its ease of use for reporting.
Cons
  • Users find the missing features of Dataslayer.ai limiting, especially regarding data blending on the free trial.
  • Users express frustration with the limited API calls and row limits on the free plan, hindering full automation.
  • Users find some features difficult to learn, but navigation improves with familiarity and practice over time.
  • Users find Dataslayer.ai expensive, prompting requests for a free trial and better integration options without additional costs.
  • Users find the lack of essential metrics for TikTok complicates their experience and makes getting started challenging.

What Are Recent G2 Reviews of Dataslayer.ai?

What Are G2 Users Discussing About Dataslayer.ai?

DataBlend

DataBlend is an integration software solution, classified as an Integration Platform as a Service (iPaaS), specifically designed to enhance the operations of finance and accounting teams. This innovative tool enables users to streamline data integrations without the need for extensive coding knowledge, making it accessible for professionals in the finance sector. By providing a no-code and low-code user interface, DataBlend empowers CFOs, controllers, and their teams to automate and optimize the flow of data across various systems, ensuring that financial operations are both efficient and secure. Targeted primarily at finance and accounting professionals, DataBlend serves over 1,000 companies, helping them manage complex data integration tasks with ease. Its user-friendly interface allows teams to connect disparate systems such as ERP/GL, CRM, POS, HR/payroll, and financial reporting tools, facilitating seamless data exchange. This capability is particularly beneficial for organizations that rely on multiple software solutions to manage their financial data, as it eliminates the manual processes that can lead to errors and inefficiencies. Key features of DataBlend include its robust automation capabilities, which allow users to set up data workflows that run on a schedule or in real-time. This ensures that financial data is always up-to-date and readily available for analysis and reporting. Additionally, the platform offers built-in security measures to protect sensitive financial information during data transfers, providing peace of mind for users concerned about data integrity and compliance. DataBlend stands out in the iPaaS category due to its focus on the unique needs of finance and accounting teams. Unlike many generic integration solutions, DataBlend is tailored to address the specific challenges faced by these professionals, such as the need for accurate financial reporting and compliance with regulatory standards. By automating data integration processes, DataBlend not only saves time but also enhances the accuracy of financial data, allowing teams to make informed decisions based on reliable information. Overall, DataBlend is a powerful tool for finance and accounting teams looking to streamline their operations and improve data management. Its no-code, low-code approach, combined with its focus on security and automation, makes it an invaluable asset for organizations seeking to enhance their financial processes and drive efficiency across their technology stack.

Average Rating: 4.7/5.0

Total Reviews: 89

How Do G2 Users Rate DataBlend?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 9.1/10)
  • Automation: 9.7/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 8.2/10 (Category avg: 8.2/10)

Who Is the Company Behind DataBlend?

  • Seller: eOne Solutions
  • Company Website:
  • Year Founded: 2001
  • HQ Location: Fargo, ND
  • LinkedIn® Page: www.linkedin.com
    70 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Non-Profit Organization Management, Accounting
  • Company Size: 65% Medium, 21% Small

What Do G2 Reviewers Say About DataBlend?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the responsive and dependable customer support of DataBlend, enhancing their experience during critical financial periods.
  • Users find DataBlend's ease of use remarkable, allowing seamless integration and reducing manual processes significantly.
  • Users value the implementation ease of DataBlend, praising its straightforward setup and intuitive interface for effective integrations.
  • Users value the automation capabilities of DataBlend, significantly streamlining financial processes and reducing manual errors.
  • Users value the time-saving automation provided by DataBlend, streamlining financial processes and enhancing workflow efficiency.
Cons
  • Users note a significant learning curve for setup and mastering workflow configurations with DataBlend, especially for complex integrations.
  • Users experience poor customer support, noting delays and communication issues that hinder project timelines and expectations.
  • Users note a steep learning curve with DataBlend, particularly for complex integrations and workflow configurations.
  • Users find the complexity of DataBlend intimidating initially, but project manager guidance helps ease the learning curve.
  • Users find the error reporting difficult to understand, making it challenging to resolve issues promptly.

What Are Recent G2 Reviews of DataBlend?

What Are G2 Users Discussing About DataBlend?

Data Fetcher

Data Fetcher is an Airtable extension that lets you bring data from any API into your Airtable bases without writing code. It acts as a connector between Airtable and external data sources, helping you centralize information and automate updates. With Data Fetcher, you can connect Airtable to popular services like OpenAI, Google Analytics, Facebook Ads, and Stripe, or set up custom connections to any API. The tool handles the technical aspects of connecting, transforming, and scheduling data imports so you don't have to. Key Features: • Ready-made Connections: Easily connect to popular tools like ChatGPT, Google services, social media platforms, and payment systems with guided setup. • Custom API Access: Import data from any API by setting up simple request details - no coding required. • Automatic Updates: Schedule data imports to run regularly (as often as every 5 minutes) to keep information fresh without manual work. • Data Mapping: Format incoming data to fit your Airtable structure, with options to filter and organize information as it arrives. • Multi-step Workflows: Create sequences where data from one request feeds into another, building powerful data pipelines. • Smart Variables: Use existing information in your Airtable as inputs for your API requests. Why People Love It: • One Source of Truth: Keep all your important information in Airtable, updated from original sources. • Build Better Tools: Create more useful Airtable interfaces and dashboards with live data from your other tools. • Save Time: Stop copying and pasting data between systems and let Data Fetcher handle imports automatically. • Reduce Errors: Eliminate typos and mistakes that come with manual data entry. • Work Independently: Connect your systems to Airtable without waiting for developer help or paying for expensive integration platforms.

Average Rating: 4.9/5.0

Total Reviews: 52

How Do G2 Users Rate Data Fetcher?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 9.1/10)
  • Automation: 9.6/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 9.2/10 (Category avg: 8.2/10)

Who Is the Company Behind Data Fetcher?

Who Uses This Product?

  • Who Uses This: CEO
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 87% Small, 12% Medium

What Do G2 Reviewers Say About Data Fetcher?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the incredible customer support from Data Fetcher, enhancing overall satisfaction and experience.
  • Users value the ease of use of Data Fetcher, appreciating its flexibility and exceptional service.
  • Users value the flexibility of Data Fetcher, enhancing their productivity and adaptability in various workflows.
  • Users find the interface highly intuitive, enabling non-coders to effortlessly build data-driven projects.
  • Users love the intuitive interface of Data Fetcher, enabling them to create data projects effortlessly without coding.

What Are Recent G2 Reviews of Data Fetcher?

What Are G2 Users Discussing About Data Fetcher?

Stitch

Stitch Data Loader is a simple, powerful ETL service for businesses of all sizes, up to and including the enterprise. More than 3,000 companies use Stitch to move billions of records every day from SaaS applications and databases into data warehouses and data lakes, where it can be analyzed with BI tools. Stitch, Inc. is a division of Talend.

Average Rating: 4.4/5.0

Total Reviews: 66

How Do G2 Users Rate Stitch?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.1/10)
  • Automation: 8.9/10 (Category avg: 9.0/10)
  • Scalability: 8.6/10 (Category avg: 8.7/10)
  • Auditing: 0.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Stitch?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • LinkedIn® Page: www.linkedin.com
    4,399 employees on LinkedIn®
  • Phone: 1 (888) 994-9854

Who Uses This Product?

  • Who Uses This: Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 53% Small, 43% Medium

What Are Recent G2 Reviews of Stitch?

What Are G2 Users Discussing About Stitch?

Mozart Data

Backed by award-winning data analyst support, Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern data platform empowers anyone to easily centralize, organize, and analyze their data without engineering resources. Instead of piecing together multiple tools, companies get everything they need to spin up a data stack in an hour — ETL, a data warehouse, and a data transformation tool — and gain visibility into their data pipelines. Join other data-driven companies, like Zeplin, Rippling, Modern Treasury, and Tempo, that are already getting the most out of their data. Learn more at https://www.mozartdata.com

Average Rating: 4.6/5.0

Total Reviews: 69

How Do G2 Users Rate Mozart Data?

  • Has the product been a good partner in doing business?: 9.5/10 (Category avg: 9.1/10)
  • Automation: 9.3/10 (Category avg: 9.0/10)
  • Scalability: 9.4/10 (Category avg: 8.7/10)
  • Auditing: 8.9/10 (Category avg: 8.2/10)

Who Is the Company Behind Mozart Data?

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 52% Small, 48% Medium

What Are Recent G2 Reviews of Mozart Data?

What Are G2 Users Discussing About Mozart Data?

Dataddo

Dataddo is the enterprise data integration platform built to eliminate the operational ownership risk of data movement. Acting as the connective backbone of your organization, we provide a fully managed connective layer that moves data from any SaaS, database, or file source to any destination - including AI agents. Our platform automatically handles API changes, schema drift, and sensitive data protection, providing full, granular visibility into every data flow across complex environments, including on-premise, hybrid, and cloud infrastructures. By treating data movement as mission-critical infrastructure rather than a project, Dataddo enables your engineering teams to deploy with total reliability, allowing them to focus on high-value AI outcomes instead of ongoing pipeline maintenance.

Average Rating: 4.7/5.0

Total Reviews: 182

How Do G2 Users Rate Dataddo?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.1/10)
  • Automation: 8.3/10 (Category avg: 9.0/10)
  • Scalability: 8.6/10 (Category avg: 8.7/10)
  • Auditing: 7.6/10 (Category avg: 8.2/10)

Who Is the Company Behind Dataddo?

  • Seller: Dataddo
  • Year Founded: 2015
  • HQ Location: Praha 7, CZ
  • LinkedIn® Page: www.linkedin.com
    28 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Marketing and Advertising, Computer Software
  • Company Size: 52% Small, 40% Medium

What Do G2 Reviewers Say About Dataddo?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the seamless connectivity of Dataddo, allowing effortless management of data from various sources.
  • Users highly value the exceptional customer support from Dataddo, highlighting timely, knowledgeable, and personalized assistance.
  • Users value the customization options of Dataddo, enabling tailored data management for diverse business needs.
  • Users admire the ease of use and flexibility of Dataddo, enabling effortless data management from various sources.
  • Users praise the ease of use of Dataddo, appreciating its simplicity in connecting and managing diverse data sources.
Cons
  • Users find that advanced configurations can feel less intuitive, highlighting the need for better guidance and documentation.
  • Users find the complex setup of Dataddo challenging, wishing for better guidance and documentation to enhance onboarding.
  • Users find the learning curve for advanced configurations in Dataddo to be less intuitive, affecting onboarding experience.
  • Users find learning difficulties due to advanced configurations being less intuitive and lacking in-app guidance.
  • Users find that advanced configurations can be unintuitive initially, suggesting a need for better documentation and guidance.

What Are Recent G2 Reviews of Dataddo?

What Are G2 Users Discussing About Dataddo?

Keboola

Keboola is a finance data and AI platform for companies that need trusted financial reporting, planning, analysis, and close processes across complex systems. Built for CFOs, FP&A teams, Controllers, finance operations, and data teams, Keboola helps organizations turn fragmented data from ERPs, accounting systems, spreadsheets, CRM, warehouses, and operational tools into one governed foundation for financial intelligence. Many finance teams rely on disconnected systems, inconsistent charts of accounts, manual reconciliations, and spreadsheet-based reporting. This makes it difficult to close quickly, produce reliable forecasts, answer board questions, support acquisitions, or use AI safely with financial data. Keboola solves this upstream data problem by connecting, standardizing, transforming, and governing financial data before it reaches FP&A, CPM, BI, reporting, or AI tools. Keboola is especially valuable for multi-entity companies, private-equity-backed businesses, holding groups, financial services firms, franchises, and organizations growing through M&A. These companies often operate across multiple ERPs, entities, countries, currencies, and reporting definitions. Keboola helps standardize chart-of-accounts logic, automate financial data pipelines, reconcile data across systems, and create trusted business definitions that teams can use consistently. Unlike traditional FP&A, CPM, EPM, budgeting, forecasting, or financial reporting tools that assume clean data already exists, Keboola focuses on the governed data foundation underneath. The platform gives teams transparent, auditable logic for financial transformations, source-to-output lineage, reusable business rules, and a semantic layer that helps ensure reports, dashboards, forecasts, and AI outputs are based on trusted company data. Keboola works alongside existing tools such as Snowflake, BigQuery, Databricks, Microsoft Fabric, Power BI, Tableau, Looker, Anaplan, Pigment, DataRails, Workiva, and other finance and analytics platforms. Rather than forcing a rip-and-replace project, Keboola strengthens the data layer beneath these systems so finance teams can plan, report, reconcile, and analyze with greater confidence. For AI adoption, Keboola provides the governed data environment that makes AI practical for business-critical financial workflows. Teams can connect AI agents and assistants to approved metrics, trusted pipelines, financial definitions, and auditable data products, reducing the risk of confident but untraceable answers. With Keboola, organizations can improve financial analysis, accelerate reporting, support financial close, automate reconciliation workflows, enable more reliable FP&A, and create a trusted foundation for AI-powered finance.

Average Rating: 4.6/5.0

Total Reviews: 138

How Do G2 Users Rate Keboola?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.1/10)
  • Automation: 9.1/10 (Category avg: 9.0/10)
  • Scalability: 8.5/10 (Category avg: 8.7/10)
  • Auditing: 7.1/10 (Category avg: 8.2/10)

Who Is the Company Behind Keboola?

  • Seller: Keboola
  • Year Founded: 2008
  • HQ Location: Prague
  • LinkedIn® Page: www.linkedin.com
    92 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Engineer
  • Top Industries: Information Technology and Services, Marketing and Advertising
  • Company Size: 63% Medium, 22% Small

What Do G2 Reviewers Say About Keboola?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Keboola, enjoying its intuitive interface and efficient data connection setup.
  • Users appreciate Keboola's wide variety of connectors, intuitive interface, and powerful automation features for data integration.
  • Users value Keboola's wide range of data connections and intuitive interface, enhancing their data management experience.
  • Users value the seamless integrations in Keboola, enhancing data workflows and orchestration with minimal limitations.
  • Users praise Keboola's responsive and helpful customer support, enhancing their overall experience with the platform.
Cons
  • Users struggle with the steep learning curve of Keboola, finding the setup of services and training insufficient.
  • Users find Keboola's interface complex and confusing, especially when managing large projects and navigating components.
  • Users find a steep learning curve with Keboola, especially due to fragmented setups and challenging training materials.
  • Users find data type management complicated, needing more guidance on transformation errors and advanced monitoring capabilities.
  • Users find the UX improvement necessary due to a complicated interface and messy data management with flows.

What Are Recent G2 Reviews of Keboola?

What Are G2 Users Discussing About Keboola?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated