Best Big Data Integration Platforms for Small Business - Page 2

How Many Big Data Integration Platforms Products Does G2 Track?

Total Products under this Category: 137

Category Stats (Nov 2026)

  • Average Rating: 4.51/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: The Cognite AI & Data Platform (+1.39%) - Among all products in this category, The Cognite AI & Data Platform recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Big Data Integration Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 11,200+ Authentic Reviews
  • 137+ 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 Big Data Integration Platforms

G2 Grid® for Big Data Integration Platforms plotting products by satisfaction and market presence

Highlighted products: Alteryx, Google Cloud BigQuery, Fivetran, Informatica Data Integration and Engineering, Maia, Amazon Redshift, dbt, and Snowflake.

Underlying data: [Grid® JSON](https://www.g2.com/categories/big-data-integration-platforms/grids.json?focus%5B%5D=alteryx&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=fivetran&focus%5B%5D=informatica-data-integration-and-engineering&focus%5B%5D=matillion-maia&focus%5B%5D=amazon-redshift&focus%5B%5D=dbt&focus%5B%5D=snowflake&segment=small-business)

Control-M

Control-M from BMC Software is a digital operations orchestration platform designed to help organizations connect applications, data pipelines, and infrastructure processes within a unified ecosystem. This solution is specifically tailored to manage complex hybrid environments, providing a robust framework for designing, automating, and governing workflows that span both on-premises and cloud technologies. By simplifying the management of operational dependencies, Control-M enables IT and business teams to maintain resilience, compliance, and efficiency at scale. The platform is particularly beneficial for organizations that require continuous operations, as it fosters collaboration among development, data, and operations teams through a shared environment. This collaborative approach enhances transparency and significantly reduces manual effort, allowing teams to focus on strategic initiatives rather than routine tasks. Control-M's orchestration capabilities facilitate the coordination of workloads across traditional systems, modern cloud applications, and emerging data technologies, ensuring that all components work seamlessly together. Centralized visibility and control empower teams to identify potential disruptions early, thereby ensuring smooth end-to-end process execution. Control-M incorporates predictive analytics and event-driven automation, which are essential for anticipating performance issues and adapting to changing business or system conditions. This proactive stance allows operations teams to maintain service levels and accelerate incident resolution without the burden of constant manual oversight. Furthermore, the platform's integration with DevOps and DataOps workflows ensures that automation efforts align with organizational goals, thereby supporting both innovation and governance. Industries such as finance, healthcare, manufacturing, and telecommunications widely utilize Control-M, where reliability, compliance, and operational continuity are paramount. By connecting people, systems, and data, Control-M transforms fragmented operational environments into cohesive, data-driven systems of execution. With BMC’s extensive expertise in intelligent automation, Control-M empowers enterprises to reduce complexity, enhance agility, and continuously deliver business value in an ever-evolving digital landscape. The platform stands out by providing a comprehensive solution that not only addresses current operational challenges but also prepares organizations for future demands.

Average Rating: 4.3/5.0

Total Reviews: 219

How Do G2 Users Rate Control-M?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.0/10)
  • Quality of Support: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 8.5/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Control-M?

  • Seller: BMC Software
  • Company Website:
  • Year Founded: 1980
  • HQ Location: Houston, TX
  • LinkedIn® Page: www.linkedin.com
    8,646 employees on LinkedIn®
  • Phone: 713 918 8800

Who Uses This Product?

  • Who Uses This: Data Engineer, System Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Large, 21% Small

What Do G2 Reviewers Say About Control-M?

AI-generated summary from verified user reviews

Pros
  • Users find Control-M's ease of use invaluable for managing workflows across diverse environments with streamlined monitoring.
  • Users value the automation capabilities of Control-M, appreciating its seamless job scheduling and centralized monitoring features.
  • Users highly value the centralized workload management of Control-M, facilitating seamless integration and smooth operations across environments.
  • Users value the time-saving capabilities of Control-M, streamlining complex workflows and enhancing operational efficiency.
  • Users value the centralized workload management of Control-M, enhancing efficiency across diverse environments and systems.
Cons
  • Users find the complexity of Control-M challenging, particularly during initial setup and for new users learning the system.
  • Users find the learning curve steep, making initial setup and usability challenging for new users.
  • Users find the user interface complex and outdated, making navigation difficult for new teams and users.
  • Users find the difficult learning curve of Control-M challenging, especially due to complex setup and confusing UI.
  • Users consistently highlight the high costs of Control-M, which can be a significant barrier for smaller organizations.

What Are Recent G2 Reviews of Control-M?

What Are G2 Users Discussing About Control-M?

Cloudera

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. Cloudera Anywhere Cloud™: Build and scale applications across any environment. The modular hybrid data and AI platform engineered for the agentic era empowers teams to deploy production-grade data and AI workloads across multi-cloud, on-premises, and sovereign environments while maintaining digital sovereignty. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

Average Rating: 4.2/5.0

Total Reviews: 208

How Do G2 Users Rate Cloudera?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 9.0/10)
  • Quality of Support: 8.2/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Cloudera?

  • Seller: Cloudera
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Santa Clara, CA
  • LinkedIn® Page: www.linkedin.com
    3,505 employees on LinkedIn®
  • Phone: 888-789-1488

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Banking
  • Company Size: 39% Large, 33% Small

What Do G2 Reviewers Say About Cloudera?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Cloudera, enjoying its straightforward installation and maintenance for analytics.
  • Users commend Cloudera for its exceptional scalability, enabling seamless integration and efficient big data management.
  • Users commend Cloudera for its robust security, ideal for high-scale enterprise-level data engineering tasks.
  • Users appreciate the easy and secure data management provided by Cloudera, enabling smart analytics and decision-making.
  • Users value the user-friendly features of Cloudera, which simplify big data handling and improve workflow efficiency.
Cons
  • Users express concerns over the high costs associated with Cloudera, making it less accessible for some.
  • Users find Cloudera to have a complex setup and operational challenges, especially for inexperienced professionals.
  • Users find Cloudera setup to be difficult to learn, especially for beginners navigating its complex interface.
  • Users find the documentation lacking, which hampers navigating data configurations and resolving errors effectively.
  • Users face significant access issues with Cloudera, including limited documentation and authorization errors during task execution.

What Are Recent G2 Reviews of Cloudera?

What Are G2 Users Discussing About Cloudera?

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: 9.0/10)
  • Quality of Support: 8.8/10 (Category avg: 8.9/10)
  • Ease of Use: 8.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.0/10 (Category avg: 8.5/10)

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 value the ease of use of Adverity, benefiting from a simple interface and responsive support.
  • Users value the easy integration and intuitive data management in Adverity, enhancing their workflow and efficiency.
  • Users value the easy integration capabilities of Adverity, streamlining data workflows across various platforms effortlessly.
  • Users value the easy integrations of Adverity, which enhance efficiency and streamline data management across platforms.
  • Users commend the responsive customer support of Adverity, ensuring timely assistance and effective solutions during setup and beyond.
Cons
  • Users find Adverity to be time-consuming due to slow pipeline creation and unclear error messages, complicating their workflows.
  • Users encounter challenges with data management, experiencing unclear error messages and complexities in administrative tasks.
  • 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 find the difficult learning curve of Adverity hampers effective use, especially for advanced features and setup.

What Are Recent G2 Reviews of Adverity?

What Are G2 Users Discussing About Adverity?

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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: 9.0/10)
  • Quality of Support: 8.0/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.9/10)
  • Ease of Admin: 7.8/10 (Category avg: 8.5/10)

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 appreciate the ease of use of IBM StreamSets, thanks to its intuitive design and low-code implementation.
  • Users appreciate the intuitive visual interface of IBM StreamSets, making data pipeline creation simple and efficient.
  • Users appreciate the simplified data integration workflows of IBM StreamSets, enhancing efficiency and productivity across teams.
  • Users find IBM StreamSets to excel in data pipelining, simplifying integration workflows with its intuitive design and reliable support.
  • Users appreciate the wide range of connectors IBM StreamSets offers, enhancing ease in data integration workflows.
Cons
  • Users note a steep learning curve for IBM StreamSets, requiring extensive training to master advanced features.
  • Users express concern over the high costs and licensing complexity associated with IBM StreamSets, affecting accessibility.
  • Users note the learning difficulty with advanced features on IBM StreamSets, requiring significant time and training.
  • Users report slow performance with UI, especially when handling complex pipelines, impacting overall usability.
  • Users find the platform has a steep learning curve, requiring significant time and training to utilize advanced features.

What Are Recent G2 Reviews of IBM StreamSets?

What Are G2 Users Discussing About IBM StreamSets?

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: 9.0/10)
  • Quality of Support: 9.2/10 (Category avg: 8.9/10)
  • Ease of Use: 9.4/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.5/10)

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 praise Peliqan for its ease of use, especially in automating data integration and simplifying setup processes.
  • Users value Peliqan's seamless integrations, enabling efficient data management and automated reporting across various platforms.
  • Users value Peliqan for its easy integrations, streamlining data connections without adding complexity to their workflows.
  • Users value Peliqan's seamless integrations and numerous connectors, enabling efficient data management and rapid development.
  • Users value Peliqan's efficient data management, enabling seamless integration and automation of supply chain processes with ease.
Cons
  • Users note a steep learning curve with Peliqan, requiring expertise in scripting and machine learning for advanced features.
  • Users note that the required technical skills for Peliqan can create a steep learning curve for beginners.
  • Users feel the need for a wider range of features, limiting the platform's functionality for advanced workflows.
  • Users find the steep learning curve of Peliqan challenging, requiring expertise in scripting and machine learning.
  • Users find the steep learning curve challenging, especially for advanced features requiring technical knowledge and experience.

What Are Recent G2 Reviews of Peliqan?

AWS Glue

AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application develop-ment. You can discover and connect to 70+ diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. You can im-mediately search and query catalogued data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.

Average Rating: 4.3/5.0

Total Reviews: 194

How Do G2 Users Rate AWS Glue?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.0/10)
  • Quality of Support: 8.4/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind AWS Glue?

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 49% Large, 29% Medium

What Do G2 Reviewers Say About AWS Glue?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of AWS Glue, appreciating its straightforward integration and user-friendly features.
  • Users benefit from the seamless data integration of AWS Glue, enhancing analytics and application development efficiency.
  • Users appreciate the fully managed ETL service of AWS Glue, simplifying data integration and optimizing costs effectively.
  • Users value the robust functionality of AWS Glue, which simplifies data preparation and enhances analytics capabilities.
  • Users find AWS Glue to have easy implementation and effective error tracing, streamlining their ETL operations significantly.
Cons
  • Users experience slow performance with AWS Glue, including long start-up times and challenging debugging processes.
  • Users find debugging difficult in AWS Glue due to unclear error messages and a steep learning curve.
  • Users find difficult debugging in AWS Glue frustrating, especially due to unclear error messages and slow start-up times.
  • Users experience performance issues with AWS Glue, including slow startup times and complex debugging processes.
  • Users find AWS Glue time-consuming due to slow startup times and complex debugging processes, affecting overall efficiency.

What Are Recent G2 Reviews of AWS Glue?

What Are G2 Users Discussing About AWS Glue?

AWS Lake Formation

AWS Lake Formation is a fully managed service to build, manage, secure, and share data in data lakes in days. You can centralize security and governance, and enable data sharing across the organization.

Average Rating: 4.4/5.0

Total Reviews: 33

How Do G2 Users Rate AWS Lake Formation?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.0/10)
  • Quality of Support: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.7/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.0/10 (Category avg: 8.5/10)

Who Is the Company Behind AWS Lake Formation?

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 47% Small, 37% Large

What Are Recent G2 Reviews of AWS Lake Formation?

What Are G2 Users Discussing About AWS Lake Formation?

Adriel

Adriel is a comprehensive AdOps platform designed to assist marketers in managing their advertising operations through no-code reporting and creative intelligence solutions. This platform caters to the needs of brands and agencies seeking to enhance their advertising strategies by providing tools that facilitate real-time data visualization and customizable dashboards. By integrating various data sources, Adriel enables users to optimize their campaigns, maximize their budgets, and ultimately drive growth. Targeted primarily at marketing professionals and agencies, Adriel serves as a vital resource for those looking to streamline their advertising efforts. The platform is particularly beneficial for teams that require a user-friendly interface to generate insights without needing extensive technical expertise. With its no-code approach, users can easily create reports and dashboards tailored to their specific needs, making it an ideal solution for both small businesses and large enterprises. One of the standout features of Adriel is its AI-driven insights, which provide users with actionable data to inform their decision-making processes. This capability allows marketers to identify trends and opportunities within their campaigns, ensuring that they can respond swiftly to changing market conditions. Additionally, the platform offers customizable widgets that enable users to visualize their data in ways that are most relevant to their objectives, enhancing the overall analytical experience. Adriel also excels in its ability to seamlessly map and blend data from various sources, allowing for a comprehensive view of campaign performance. This feature is crucial for marketers who need to consolidate information from different platforms and channels to gain a holistic understanding of their advertising efforts. Furthermore, the proactive alerts system keeps users informed of significant changes or anomalies in their data, enabling them to take immediate action when necessary. In essence, Adriel stands out in the business intelligence and reporting landscape by offering a powerful yet accessible solution for marketers. With its focus on automation, scalability, and hands-on support, it provides a robust framework for businesses looking to enhance their reporting capabilities and drive successful advertising campaigns. By leveraging Adriel's advanced features, brands can ensure they remain competitive in an ever-evolving digital marketplace.

Average Rating: 4.5/5.0

Total Reviews: 42

How Do G2 Users Rate Adriel?

  • Has the product been a good partner in doing business?: 9.5/10 (Category avg: 9.0/10)
  • Quality of Support: 9.8/10 (Category avg: 8.9/10)
  • Ease of Use: 8.7/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Adriel?

  • Seller: Adriel
  • Company Website:
  • Year Founded: 2017
  • HQ Location: Austin, Texas
  • LinkedIn® Page: www.linkedin.com
    61 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Marketing and Advertising
  • Company Size: 74% Small, 10% Medium

What Do G2 Reviewers Say About Adriel?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Adriel, enjoying its clean interface and straightforward reporting features.
  • Users appreciate the convenience of centralized reporting with Adriel, enabling easy performance tracking and data sharing.
  • Users value the outstanding customer support of Adriel, emphasizing quick response times and effective troubleshooting assistance.
  • Users appreciate the clean interface and real-time analytics of Adriel, enhancing reporting and client understanding significantly.
  • Users appreciate the convenient all-in-one data platform of Adriel, enhancing performance tracking and reporting.
Cons
  • Users find the missing features in Adriel frustrating, making connections and tracking metrics more complicated than necessary.
  • Users find the complex setup challenging, especially with connections and unexpected glitches during the process.
  • Users experience erroneous data issues requiring manual checks, and face challenges with data import and uploads.
  • Users find the difficult setup of Adriel frustrating, as it complicates connections and is time-consuming.
  • Users face a steep learning curve with Adriel, finding the initial setup and integration time-consuming and complex.

What Are Recent G2 Reviews of Adriel?

What Are G2 Users Discussing About Adriel?

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: 385

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: 9.0/10)
  • Quality of Support: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.9/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.6/10 (Category avg: 8.5/10)

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, 36% Medium

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

AI-generated summary from verified user reviews

Pros
  • Users value the easy-to-use interface of SnapLogic, simplifying integration and enhancing productivity with a simple drag-and-drop feature.
  • Users value the easy integrations of SnapLogic, appreciating its user-friendly interface and wide variety of connections.
  • Users value the user-friendly integrations with SnapLogic, enjoying the simplicity of building and managing pipelines.
  • Users appreciate the user-friendly interface of SnapLogic, making integration tasks smooth and efficient.
  • Users value the automation capabilities of SnapLogic, enabling fast and efficient pipeline creation and management.
Cons
  • Users experience performance issues with the platform, facing errors and unexpected failures during heavy workloads.
  • Users experience poor performance with SnapLogic, facing slow loading and frequent breakdowns during heavy workloads.
  • Users experience technical difficulties including debugging issues and performance drops during heavy workloads, affecting usability.
  • Users report frequent complexity issues with SnapLogic, including slow loading, messy transformations, and challenging debugging processes.
  • Users experience frequent error reporting issues that hinder troubleshooting, causing unexpected pipeline failures and confusion.

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?

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: 9.0/10)
  • Quality of Support: 9.2/10 (Category avg: 8.9/10)
  • Ease of Use: 8.9/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.8/10 (Category avg: 8.5/10)

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, effortlessly integrating data from various sources with ease.
  • Users commend Dataddo for its exceptional customer support, highlighting professionalism and tailored solutions from the support team.
  • Users appreciate the high customization options in Dataddo, enabling tailored data management without technical complexities.
  • Users value the ease of use and flexibility of Dataddo, appreciating seamless data management and exceptional support.
  • Users appreciate the ease of use of Dataddo, finding it simple to connect and manage data effortlessly.
Cons
  • Users find some advanced configurations to have a lack of intuitiveness, hindering the onboarding process and usability.
  • Users find the complex setup of Dataddo challenging initially, wishing for better guidance and documentation during onboarding.
  • Users find the learning curve steep due to non-intuitive advanced configurations, calling for better onboarding support.
  • Users find that some advanced configurations in Dataddo can feel less intuitive, suggesting a need for better onboarding support.
  • Users find that advanced configurations can feel less intuitive, suggesting a need for better guidance and documentation.

What Are Recent G2 Reviews of Dataddo?

What Are G2 Users Discussing About Dataddo?

Integrate.io

Integrate.io is a low-code data pipeline platform specializing in Operational ETL so companies can automate business processes and manual data preparation. Its four core use cases focus on: 1) File data preparation and B2B data sharing 2) Preparing and loading data to CRMs and ERPs such as Salesforce, NetSuite, and HubSpot 3) Powering data products with real-time database replication 4) Transforming and centralizing data to data warehouse for analytics 5) Integrate.io MCP Server connects Claude, ChatGPT, Cursor or any MCP client to your Integrate.io ETL and Reverse ETL account, so you can manage data pipelines by describing what you want.

Average Rating: 4.4/5.0

Total Reviews: 212

How Do G2 Users Rate Integrate.io?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 9.0/10)
  • Quality of Support: 9.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Integrate.io?

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 51% Medium, 32% Small

What Do G2 Reviewers Say About Integrate.io?

AI-generated summary from verified user reviews

Pros
  • Users find Integrate.io to be incredibly easy to use, enabling quick setup and seamless data integration.
  • Users appreciate the exceptional customer support of Integrate.io, highlighting the team's helpfulness and genuine knowledge.
  • Users value the easy integrations of Integrate.io, which simplifies data management for non-technical teams.
  • Users value the intuitive interface and extensive connector library of Integrate.io, simplifying complex data integration tasks.
  • Users value the automation capabilities of Integrate.io, enabling seamless data transfers and efficient workflow management.
Cons
  • Users face a notable learning difficulty with complex transformations, requiring time and effort to navigate effectively.
  • Users find poor documentation challenging, particularly with APIs and complex transformations, hindering effective usage.
  • Users note limited integrations with Integrate.io, affecting ease of setup and overall functionality for complex projects.
  • Users struggle with inadequate API documentation, hindering effective integration and development efforts.
  • Users note the lack of detailed API documentation, which hinders effective integration and custom workflow development.

What Are Recent G2 Reviews of Integrate.io?

What Are G2 Users Discussing About Integrate.io?

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: 9.0/10)
  • Quality of Support: 9.5/10 (Category avg: 8.9/10)
  • Ease of Use: 8.6/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.1/10 (Category avg: 8.5/10)

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, thanks to its intuitive setup and ready-made data connections.
  • Users highlight Keboola's intuitive interface and wide data connections, making data handling seamless and efficient.
  • Users value the robust data management capabilities of Keboola, streamlining data handling and enhancing productivity.
  • Users value the wide range of data connections in Keboola, enhancing data management with ease and efficiency.
  • Users praise the incredible support from Keboola, consistently providing amazing assistance for any questions or issues.
Cons
  • Users find Keboola's steep learning curve challenging, often requiring assistance from developers for effective use.
  • Users find Keboola's interface complicated and illogical, leading to confusion and difficulties when working with data streams.
  • Users find the steep learning curve of Keboola challenging, requiring assistance for effective navigation and usage.
  • Users find the interface challenging and experience difficulties with data type management and debugging errors.
  • Users find the UX improvement lacking with a confusing interface and minor bugs affecting usability.

What Are Recent G2 Reviews of Keboola?

What Are G2 Users Discussing About Keboola?

Syncari

Syncari is an AI-ready, Agentic MDM platform that unifies, governs, and activates trusted data across all your systems, domains, and cloud infrastructure. Built for enterprises navigating the complexity of multi-agent environments and AI-driven operations, Syncari automates core data management workflows—from data modeling and lineage to validation and remediation—without needing heavy IT resources. At the heart of Syncari is its patented multi-directional sync, delivering real-time, bi-directional data consistency across CRMs, ERPs, cloud platforms, and data warehouses—without custom code or middleware. Syncari ensures continuously clean, synchronized, and governed data flows throughout your enterprise and is always ready for analytics, AI models, and operational use. Whether you're powering AI copilots, managing complex entity relationships, or standardizing data pipelines, Syncari helps you move beyond just managing data—to activating it. Why Syncari? -Syncari Agentic MDM™: Designed for orchestrating trusted data across AI agents and teams -Patented Multi-Directional Sync: Real-time updates across all connected platforms -Agentic Ops: Schema sync, field mapping, DQ enforcement, and remediation -Entity Resolution: Consolidate and deduplicate records across domains -Composable + Cloud-First: Built to plug into your existing SaaS and data stack -Low-Code / No-Code: Accessible to IT, data teams, RevOps, and business users alike Core Capabilities Unify, Sync, Automate, Activate, Model, Catalog, Lineage, Transform, Standardize, Verify, Remediate, Observe, Report, Consume Top Use Cases - Customer Master: Build a unified customer profile across GTM systems - Product Master: Align and enrich product data across eCommerce and ERP - Hierarchy Master: Govern legal entities, accounts, and territories - Analytics MDM: Push AI-ready data into BI tools and ML workflows - Data Products: Operationalize governed datasets for internal and external use - Data Quality: Automatically identify, validate, standardize, and remediate data issues across systems - MDM for Snowflake: Sync and manage master data directly inside Snowflake - MDM for GCP: Connect, unify, and activate trusted data in BigQuery and GCP tools - MDM for Your Data Warehouse: Maintain clean, governed, query-ready data across your cloud warehouse infrastructure -MCP Server for your unified data

Average Rating: 4.8/5.0

Total Reviews: 41

How Do G2 Users Rate Syncari?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 9.0/10)
  • Quality of Support: 9.9/10 (Category avg: 8.9/10)
  • Ease of Use: 7.9/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Syncari?

  • Seller: Syncari
  • Year Founded: 2019
  • HQ Location: Newark, California
  • LinkedIn® Page: www.linkedin.com
    44 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 51% Medium, 44% Small

What Are Recent G2 Reviews of Syncari?

What Are G2 Users Discussing About Syncari?

Airbyte

Airbyte is an open-source data integration and context layer platform for AI agents that allows companies to unite the data from hundreds of different applications, databases, and APIs. Airbyte can help companies move their data from one location to another automatically. Additionally, Airbyte agents can provide AI agents with the context that they require to complete specific tasks. It helps agents access, search, understand, and act on business data across hundred of tools.

Average Rating: 4.4/5.0

Total Reviews: 80

How Do G2 Users Rate Airbyte?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 9.0/10)
  • Quality of Support: 8.0/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Airbyte?

  • Seller: Airbyte
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    112 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 58% Small, 33% Medium

What Do G2 Reviewers Say About Airbyte?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use of Airbyte, enabling effortless data syncing and management from multiple sources.
  • Users value the extensive range of connectors offered by Airbyte, enhancing experimentation and integration with marketing tools.
  • Users love the incredibly simple data integration with Airbyte, making analytics and management hassle-free.
  • Users find Airbyte's setup ease exceptional, allowing quick integration of multiple data sources effortlessly.
  • Users highlight the quick setup of Airbyte, enjoying an effortless initial configuration and fast connector integration.
Cons
  • Users find Airbyte’s poor documentation challenging, especially for debugging and multi-region deployment scenarios.
  • Users find the difficult setup of Airbyte challenging, requiring significant technical expertise and support during implementation.
  • Users face frustrating error reporting issues with connectors, leading to confusion and complex debugging during data syncs.
  • Users find Airbyte expensive as cloud offerings can increase costs significantly, lacking transparent pricing options.
  • Users experience limited connectors and variable reliability, necessitating workarounds for specific needs and enhanced documentation.

What Are Recent G2 Reviews of Airbyte?

What Are G2 Users Discussing About Airbyte?

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: 9.0/10)
  • Quality of Support: 9.0/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.9/10 (Category avg: 8.5/10)

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?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated
Reviews & FAQs

Reviews Summary: The Best Big Data Integration Platforms Software for Small-Business Businesses

Thanks to 10497 Big Data Integration Platforms software reviews and associated data from users working for small-sized companies, at G2 we have some of the most definitive data on the best Big Data Integration Platforms software for the smaller space. We have identified 34 individual Big Data Integration Platforms products offering the features, pricing and support that Small-Business companies look for when comparing Big Data Integration Platforms software and solutions. These reviews are generated using the qualitative and quantitative feedback from G2 members working in small-sized companies and who have used these Big Data Integration Platforms software products.

When G2 reviewers submit their Big Data Integration Platforms software reviews, they often provide information on the type of company they work for and what market segment they belong to. We break these different market segments into three distinct groups:

  • Small Business Big Data Integration Platforms Software Reviews (< 50 employees)
  • smaller Big Data Integration Platforms Software Reviews (51-1,000 employees)
  • Enterprise Big Data Integration Platforms Software Reviews (1,001+ employees)

smaller businesses have their own unique requirements when it comes to Big Data Integration Platforms software compared to small or enterprise companies. That is why these individual small-sized company Big Data Integration Platforms software reviews are especially helpful when comparing product set up, ease of use and overall cost.

Below you will find FAQs and review snippets for Big Data Integration Platforms software products that work well in smaller environments. These reviews are written by real G2 users working for these Small-Business companies who have real-world experience with these Big Data Integration Platforms software products.

FAQs About Big Data Integration Platforms Software for Small-Business Businesses

Q. What are the best Big Data Integration Platforms software products for small-sized businesses, according to G2 reviewers?
  • Alteryx - 4.5-stars, 102 reviews (15% from smaller reviewers)
  • Google Cloud BigQuery - 4.5-stars, 143 reviews (26% from smaller reviewers)
  • Fivetran - 4.3-stars, 214 reviews (26% from smaller reviewers)
  • Informatica Data Integration and Engineering - 4.2-stars, 27 reviews (21% from smaller reviewers)
  • Snowflake - 4.5-stars, 53 reviews (12% from smaller reviewers)
Q. What are the least-liked Big Data Integration Platforms software products for professionals at small-sized companies, based on the overall G2 rating?
  • Peregrine Connect - 4.5-stars, 15 reviews (21% from smaller reviewers)
  • Riva - 4.0-stars, 18 reviews (33% from smaller reviewers)
  • Qubole - 4.0-stars, 11 reviews (6% from smaller reviewers)
  • ClicData - 4.4-stars, 13 reviews (52% from smaller reviewers)
  • Qlik Replicate - 4.1-stars, 16 reviews (21% from smaller reviewers)
Q. What are the highest-rated Big Data Integration Platforms software tool features according to employees at Small-Business companies?
  • Not enough data to answer this question.
Q. What are the features that are rated lowest by employees at Small-Business companies?
  • Not enough data to answer this question.
Q. How many Big Data Integration Platforms software reviews are from users working in smaller companies?

1323 out of all Big Data Integration Platforms software reviews on G2 are from users working in Small-Business companies (13%).

Here's What Reviewers Working at smaller Businesses Have to Say About Big Data Integration Platforms Software

What Small-Business Professionals Liked What Small-Business Professionals Disliked

5X: “Their comprehensive user interface helps us accomplish tasks more quickly and provides better visibility into each step of our data operations. The 5X data platform is a plug and play solution, offering a unified space to reliably build, monitor, and maintain data flows for business analytics. With native integration of top-tier data tools, 5X provides the flexibility to deploy and build according to our business needs, enhancing collaboration within our teams.<br><br>In addition, they also offer an out of the box consulting services, with experts who act as a part of our internal team when we need to achieve business objectives within a limited timeframe.”

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Google Cloud BigQuery: “It is often difficult to navigate the interface, especially if there is a greater amount of content coming in to manage. Consequently, the invoicing and the pricing to manage this content increases which can become overwhelming and difficult to track.”

Read Review

Keboola: “I like Keboola's clear interface and the wide range of data connections. The ready-made connections to services like Google Analytics and ERP systems are very good. It simplifies working with data, allowing us to get data from the system with just a few clicks.”

Read Review

IBM StreamSets: “While IBM StreamSets is powerful, it can sometimes be complex to troubleshoot issues in large pipelines, and performance tuning may require additional effort for very high-volume data loads.”

Read Review

IBM StreamSets: “Easy integration with different endpoints”

Read Review

Fivetran: “Providers break very often. It takes weeks for support to resolve such issues. It takes days for support to respond to urgent issues Some API methods have ridiculous designs, e.g. updating the schema: you have to perform 7 API calls in a row to achieve a single change in the config. There's no API versioning; requests and responses just get updated. Pricing is extreme. Self-hosted solutions, for example, Airbyte, are identical in terms of setup and maintenance efforts, but you only pay for hosting. Last, but not least, it's not fast at all.”

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Recommendations To Others Problems Solved & Benefits

Alteryx: “Download the trial and test it. You will be amazed. It is the complete package for people who work with data. Go and visit Alteryx Community @ http://community.alteryx.com. You'll find all sorts of materials, help, lessons and great people willing to help.”

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Fivetran: “Fivetran helps us quickly get data from various sources in a usable format, making it easy to create new connectors.”

Read Review

Alteryx: “Get signed up for a demo or a free trial, it will very likely prove value in that short space of time.”

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Alteryx: “Alteryx solves our biggest headache: data fragmentation. In online marketing, our customer data is scattered across MySQL, PostgreSQL, SQL Server, and endless campaign CSVs and Excel tracking sheets. Instead of writing complex cross-database scripts or manually stitching spreadsheets together, Alteryx lets us blend all these disparate sources in one visual tool. The biggest benefit is automation and time saved, it turns hours of tedious weekly data prep into a repeatable pipeline that feeds clean, standardized metrics directly into our customer analytics dashboards.”

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Adverity: “Useful ETL Tool for basic purposes integrating all platform costs. I recommend it.”

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Maia: “Maia helps us streamline data integration and ETL processes by providing faster access to information, troubleshooting support, and guidance on data engineering tasks. It reduces the time spent researching solutions, improves productivity, and helps resolve technical issues more efficiently. This enables faster delivery of data pipelines, better decision-making, and improved operational efficiency.”

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