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: 134

Category Stats (Sep 2026)

  • Average Rating: 4.51/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cloudera (+2.13%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

Last updated: September 15, 2026

How Does G2 Rank Big Data Integration Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 10,800+ Authentic Reviews
  • 134+ 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, Snowflake, dbt, Workato, and 5X.

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=snowflake&focus%5B%5D=dbt&focus%5B%5D=workato&focus%5B%5D=5x&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: 193

How Do G2 Users Rate Control-M?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.9/10)
  • Quality of Support: 8.6/10 (Category avg: 8.9/10)
  • Ease of Use: 8.5/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.6/10 (Category avg: 8.6/10)

Who Is the Company Behind Control-M?

  • Seller: BMC Software
  • Company Website:
  • Year Founded: 1980
  • HQ Location: Houston, TX
  • Twitter: @BMCSoftware
    47,946 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    8,646 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 46% Large, 19% Medium

What Do G2 Reviewers Say About Control-M?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in Control-M, appreciating its good GUIs and efficient scheduling methods.
  • Users value the automation in Control-M, enhancing workflow reliability and reducing manual efforts across operations.
  • Users admire Control-M's reliability and centralized job management, enhancing workflow efficiency and confidence in timely task execution.
  • Users value time-saving automation in Control-M, simplifying workflow management and reducing the need for manual coordination.
  • Users value the task automation capabilities of Control-M, enhancing efficiency through seamless scheduling and orchestration.
Cons
  • Users find the UI complexity challenging, compounded by a steep learning curve and inconsistencies between the client and web versions.
  • Users face a significant learning curve when using Control-M, making it challenging for new users to adapt.
  • Users find the UI complexity challenging, which can hinder the onboarding process for new users.
  • Users find the steep learning curve of Control-M daunting, making initial use more challenging and time-consuming.
  • Users find the licensing costs high, making Control-M less accessible for smaller teams and 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: 189

How Do G2 Users Rate Cloudera?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 8.9/10)
  • Quality of Support: 8.1/10 (Category avg: 8.9/10)
  • Ease of Use: 8.3/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Cloudera?

  • Seller: Cloudera
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Santa Clara, CA
  • Twitter: @cloudera
    106,442 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,505 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Banking
  • Company Size: 39% Large, 35% Small

What Do G2 Reviewers Say About Cloudera?

AI-generated summary from verified user reviews

Pros
  • Users praise the user-friendly interface of Cloudera, highlighting its simplicity in managing big data efficiently.
  • Users value the easy scalability of Cloudera, enabling efficient management of large amounts of data effortlessly.
  • Users value the robust security features of Cloudera, ensuring safe and reliable data management across platforms.
  • Users value the comprehensive suite of tools in Cloudera for effective data management and analytics.
  • Users find Cloudera's scalability and centralized administration invaluable for efficient monitoring and management of data processes.
Cons
  • Users express concerns over the high costs of Cloudera, noting it's expensive for its complexity and maintenance.
  • Users find Cloudera's database to be complex, making it challenging for inexperienced professionals to utilize effectively.
  • Users find Cloudera's setup difficult to learn, particularly challenging for beginners without adequate tutorials or guidance.
  • Users find the poor documentation of Cloudera frustrating, complicating navigation and setup for complex data configurations.
  • Users often face access issues with Cloudera, particularly with unauthorized errors in Airflow tasks and limited documentation.

What Are Recent G2 Reviews of Cloudera?

What Are G2 Users Discussing About Cloudera?

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind IBM StreamSets?

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

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?

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: 86

How Do G2 Users Rate Peliqan?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Peliqan?

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

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 48% 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?

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: 316

How Do G2 Users Rate Adverity?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.9/10)
  • Quality of Support: 8.9/10 (Category avg: 8.9/10)
  • Ease of Use: 8.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Adverity?

  • Seller: Adverity GmbH
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Vienna, Austria
  • Twitter: @myadverity
    1,757 Twitter followers
  • 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, 38% 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?

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: 8.9/10)
  • Quality of Support: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind AWS Glue?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    147,094 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

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 appreciate the ease of use of AWS Glue, finding it simple for data preparation and ETL operations.
  • Users value the s seamless data integration capabilities of AWS Glue, enhancing efficiency across analytics and application development.
  • Users appreciate the fully managed ETL service of AWS Glue, enjoying seamless integration and ease of use.
  • Users appreciate the versatile functionality of AWS Glue, simplifying data discovery, preparation, and analytics integration.
  • Users appreciate the ease of implementation and effective support of AWS Glue for seamless data integration and error tracing.
Cons
  • Users experience slow performance with AWS Glue, particularly in startup times and complex debugging processes.
  • Users face difficulties in debugging AWS Glue due to unclear error messages and a steep learning curve.
  • Users often face difficult debugging with AWS Glue, as error messages are not always clear and can be frustrating.
  • Users experience performance issues with AWS Glue, such as slow startup times and complex debugging processes.
  • Users note that AWS Glue can be time-consuming due to slow startup times and complex debugging processes.

What Are Recent G2 Reviews of AWS Glue?

What Are G2 Users Discussing About AWS Glue?

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Adriel?

  • Seller: Adriel
  • Company Website:
  • Year Founded: 2017
  • HQ Location: Austin, Texas
  • Twitter: @AdrielMarketing
    343 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    57 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 highlight the ease of use with Adriel, appreciating its intuitive interface and seamless data integration.
  • Users value the easy reporting capabilities of Adriel, streamlining analytics and saving valuable time.
  • Users value the seamless data integration in Adriel, enhancing efficiency and simplifying analytics for better reporting.
  • Users appreciate the streamlined reporting and centralized data Adriel offers, enhancing efficiency and clarity in marketing insights.
  • Users commend the outstanding customer support of Adriel, highlighting its responsiveness and helpfulness in resolving issues.
Cons
  • Users report missing features in Adriel, noting a lack of certain metrics and cumbersome connection processes.
  • Users experience query issues with data accuracy and glitches in dashboard formatting, requiring manual checks at times.
  • Users find the complex setup of Adriel to be time-consuming and often frustrating due to connection issues.
  • Users find the difficult setup of Adriel frustrating, as connections and processes are not very straightforward.
  • Users experience frequent error reporting issues, leading to cumbersome manual checks and occasional data discrepancies.

What Are Recent G2 Reviews of Adriel?

What Are G2 Users Discussing About Adriel?

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind AWS Lake Formation?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    147,094 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

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?

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: 380

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: 8.9/10)
  • 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: 8.6/10)

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

  • Seller: SnapLogic
  • Company Website:
  • Year Founded: 2006
  • HQ Location: San Mateo, CA
  • Twitter: @SnapLogic
    7,348 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    306 employees on LinkedIn®

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 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 find technical difficulties with SnapLogic, including complex transformations, debugging challenges, and performance issues.
  • Users experience poor performance when processing large workloads, leading to frustration and inefficiency during integration tasks.
  • 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?

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Dataddo?

  • Seller: Dataddo
  • Year Founded: 2015
  • HQ Location: Praha 7, CZ
  • Twitter: @dataddo
    226 Twitter followers
  • 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?

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

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Integrate.io?

  • Seller: Integrate.io
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • Twitter: @Integrateio
    4,285 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    26 employees on LinkedIn®

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 appreciate the ease of use of Integrate.io, benefiting from its intuitive interface and fast workflow design.
  • Users praise the exceptional customer support of Integrate.io for its quick responses and knowledgeable assistance.
  • Users value the easy integrations with diverse data sources, simplifying their data workflow and enhancing productivity.
  • Users value the comprehensive connectors and intuitive UI of Integrate.io, enhancing data integration and workflow efficiency.
  • Users value the automation features of Integrate.io, which enhance workflow efficiency and streamline data processes.
Cons
  • Users note a learning difficulty with advanced features, requiring extra documentation and tutorials for effective use.
  • Users feel that poor documentation hinders their ability to fully utilize Integrate.io's features and APIs effectively.
  • Users point out the limited integrations with external sources, hindering seamless connectivity and customization options.
  • Users struggle with poor API documentation, hindering their ability to effectively integrate and utilize the platform's features.
  • Users note the lack of comprehensive API documentation, making integration challenging and limiting development flexibility.

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Keboola?

  • Seller: Keboola
  • Year Founded: 2008
  • HQ Location: Prague
  • Twitter: @keboola
    2,004 Twitter followers
  • 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?

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Syncari?

  • Seller: Syncari
  • Year Founded: 2019
  • HQ Location: Newark, California
  • Twitter: @syncari
    236 Twitter followers
  • 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: 78

How Do G2 Users Rate Airbyte?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Airbyte?

  • Seller: Airbyte
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • Twitter: @airbytehq
    14,219 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    110 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 56% Small, 35% Medium

What Do G2 Reviewers Say About Airbyte?

AI-generated summary from verified user reviews

Pros
  • Users find Airbyte's intuitive and straightforward UI allows for quick pipeline deployment and easy data management.
  • Users appreciate the extensive variety of connectors in Airbyte, enhancing their data integration capabilities seamlessly.
  • Users appreciate the clean and seamless UI of Airbyte, making ELT pipeline creation straightforward for everyone.
  • Users find the setup ease of Airbyte exceptional, enabling quick and efficient EL pipeline creation.
  • Users highlight the quick setup of Airbyte, enabling rapid deployment of data pipelines with an intuitive interface.
Cons
  • Users experience poor documentation, which makes troubleshooting and connector development frustrating and time-consuming.
  • Users find the difficult setup of Airbyte occasionally challenging, often requiring assistance from the data team.
  • Users find the error reporting unclear, often struggling with opaque messages that complicate troubleshooting issues.
  • Users find Airbyte to be expensive, especially for small companies managing large data volumes.
  • Users report limited connectors with some in alpha state, impacting stability and functionality for certain platforms.

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: 41

How Do G2 Users Rate ClicData?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • Quality of Support: 8.9/10 (Category avg: 8.9/10)
  • Ease of Use: 8.3/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.8/10 (Category avg: 8.6/10)

Who Is the Company Behind ClicData?

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

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 55% 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