Best Big Data Integration Platforms - Page 7

How Many Big Data Integration Platforms Products Does G2 Track?

Total Products under this Category: 129

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 (+2.21%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Big Data Integration Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 10,600+ Authentic Reviews
  • 129+ 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: Google Cloud BigQuery, Alteryx, Snowflake, Fivetran, Workato, Azure Data Factory, SnapLogic Agentic Integration and Applied AI Platform, and AWS Lake Formation.

Underlying data: [Grid® JSON](https://www.g2.com/categories/big-data-integration-platforms/grids.json?focus%5B%5D=google-cloud-bigquery&focus%5B%5D=alteryx&focus%5B%5D=snowflake&focus%5B%5D=fivetran&focus%5B%5D=workato&focus%5B%5D=azure-data-factory&focus%5B%5D=snaplogic-agentic-integration-and-applied-ai-platform&focus%5B%5D=aws-lake-formation)

Dagster

Ship data pipelines with extraordinary velocity. Dagster is the cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate Dagster?

  • Quality of Support: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 7.5/10 (Category avg: 8.8/10)

Who Is the Company Behind Dagster?

  • Seller: Dagster Labs
  • Year Founded: 2018
  • HQ Location: San Francisco ,California ,United States
  • LinkedIn® Page: www.linkedin.com
    92 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Do G2 Reviewers Say About Dagster?

AI-generated summary from verified user reviews

Pros
  • Users value the strong analytics capabilities of Dagster, enhancing reliability and transparency in data orchestration.
  • Users love the ease of use of Dagster, enabling reliable and transparent data orchestration seamlessly.
  • Users value Dagster's asset-centric approach, enhancing reliability, transparency, and ease of monitoring in data orchestration.
  • Users value the flexibility of Dagster, appreciating its sophistication and adaptability for various data engineering use cases.
  • Users find Dagster to be a sophisticated and modern tool, ideal for diverse data engineering needs.
Cons
  • Users find Dagster's difficult learning curve challenging, hindering adoption and complicating the onboarding process.
  • Users find Dagster's steep learning curve challenging, especially for smaller teams seeking simplicity and ease of use.
  • Users find Dagster has a steep learning curve that can complicate initial adoption and usability.
  • Users find the steep learning curve of Dagster challenging, which complicates initial adoption and usage.
  • Users find the complex setup of Dagster to be challenging, hindering quick adoption and ease of use.

What Are Recent G2 Reviews of Dagster?

Data Flow Manager

Data Flow Manager (DFM) is a purpose-built tool to deploy and promote Apache NiFi data flows within minutes – no need for NiFi UI and controller services, 100% on-premises with zero cloud dependency. Designed for organizations prioritizing data sovereignty, DFM eliminates vendor lock-in and cloud exposure. With a simple pay-per-node model, you can run unlimited NiFi data flows without paying for extra CPUs. DFM automates and accelerates deployment across environments with features like NiFi data flow deployment, scheduling, and promotion in just a few minutes. Role-Based Access Control (RBAC), complete audit logging, and built-in performance analytics give teams control and visibility over their data operations. DFM’s AI-powered NiFi Data Flow Creation Assistant helps teams build better NiFi data flows, faster. Its structure and performance analysis tools ensure your NiFi flows are optimized from the start. Backed by 24x7 NiFi expert support and a 99.99% uptime guarantee, DFM is built for secure, scalable, and always-on NiFi operations. DFM is your all-in-one platform for reliable and efficient NiFi data flow management — no need for NiFi UI & controller services, no cloud, no compromise. Contact: sales@ksolves.com

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Data Flow Manager?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Quality of Support: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Data Flow Manager?

  • Seller: Ksolves
  • Year Founded: 2012
  • HQ Location: Noida, IN
  • Twitter: @_Ksolves
    902 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    884 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Large

What Do G2 Reviewers Say About Data Flow Manager?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of Data Flow Manager invaluable for efficient data management at scale.
  • Users value the flexibility of Data Flow Manager, enhancing efficiency and confidence in managing large-scale data operations.
  • Users highlight the improved performance of Data Flow Manager, enabling effective management of large-scale data operations effortlessly.
  • Users value the effective problem-solving capabilities of Data Flow Manager, enhancing their data management experience significantly.
  • Users value the time management capabilities of Data Flow Manager, enjoying streamlined processes and reduced deployment risks.
Cons
  • Users desire broader native integration with other tools to enhance the overall functionality of Data Flow Manager.

What Are Recent G2 Reviews of Data Flow Manager?

Lingk Cloud Data Integration Platform

Lingk is the industry’s first iPaaS+ platform with autonomous Agents. The All-in-One Platform offers everything you need to unify, automate, and manage your data for the Agentic Enterprise. Combining an enterprise no-code integration platform, a metadata-first, zero-copy Data Cloud, and the Data Integrator Agent, Lingk empowers organizations to achieve faster, smarter data workflows across on-prem and multi-cloud environments. Build an Agent-ready data fabric and optimize business process automations with Lingk.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind Lingk Cloud Data Integration Platform?

  • Seller: Lingk
  • Year Founded: 2015
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Lingk Cloud Data Integration Platform?

Lore IO

Lore IO is a data management platform provider that unifies on-demand, real-time business knowledge.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate Lore IO?

  • Quality of Support: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 8.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Lore IO?

  • Seller: Lore IO
  • Year Founded: 1997
  • HQ Location: Irvine, California, United States
  • Twitter: @teamLoreIO
    26 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,323 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of Lore IO?

Oracle Event Hub Cloud Service

Oracle Event Hub Cloud Service delivers the power of Kafka as a managed streaming data platform integrated into the Oracle Cloud ecosystem. Create Topics and start streaming or manage and deploy your own Dedicated Kafka Cluster with Elastic Scalability.

Average Rating: 4.5/5.0

Total Reviews: 1

Who Is the Company Behind Oracle Event Hub Cloud Service?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • Twitter: @Oracle
    827,997 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    207,576 employees on LinkedIn®
  • Ownership: NYSE:ORCL

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Are Recent G2 Reviews of Oracle Event Hub Cloud Service?

Palantir HyperAuto

HyperAuto is an out-of-the-box tool that automatically transforms ERP and CRM data into clean, intelligible tables and a human-centric semantic layer. Utilizing metadata, the data pipelines are generated dynamically, without the need to write any code, and can keep pace with changes in the structure of the source systems. The cleaned data can then be exported incrementally to an existing data lake / warehouse. With a common language amongst the data, a customer can use a tool to analyze the data and make key business decisions. Unlike a common ETL tool, HyperAuto also has first-class functionality for writing back to ERP and CRM systems, that makes the underlying data sets more valuable over time, saving time, resource allocation, and effort, while providing you the most accurate, and real-time data for decision making. This is coupled with Palantir's best-in-class data security and governance.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate Palantir HyperAuto?

  • Quality of Support: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Palantir HyperAuto?

  • Seller: Palantir
  • HQ Location: Denver, US
  • Twitter: @PalantirTech
    425,595 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    6,022 employees on LinkedIn®
  • Ownership: PLTR (NYSE)

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Palantir HyperAuto?

Popsink

Popsink serves as a foundational platform for seamless data movement. Its cutting-edge connectors enables automated, real-time, and continuous data replication across databases, systems, applications, and more. With live connections built in minutes and easily extensible, Popsink automatically scales to evolving data needs and integrates with new services with ease. Businesses rely on Popsink for data platform ingestion, cloud migration projects, CRM enrichment, real-time analytics, and a wide range of other use cases.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate Popsink?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • Quality of Support: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.3/10 (Category avg: 8.8/10)
  • Ease of Admin: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Popsink?

  • Seller: Popsink
  • Year Founded: 2021
  • HQ Location: Paris, FR
  • LinkedIn® Page: www.linkedin.com
    7 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Do G2 Reviewers Say About Popsink?

AI-generated summary from verified user reviews

Pros
  • Users value the easy connectivity of Popsink, enabling seamless management of multiple data feeds effortlessly.
  • Users find the ease of managing connectors in Popsink invaluable, facilitating smooth integration and support.
  • Users find the abundance of connectors in Popsink enhances their integration with various platforms effortlessly.
  • Users praise the helpful customer support of Popsink, easing the implementation process and resolving issues promptly.
  • Users appreciate the ease of managing connectors and pipelines in Popsink, enhancing their data integration experience.

What Are Recent G2 Reviews of Popsink?

Rudol

Unlock the real power of your Data In today's data-driven landscape, the quality of your data is paramount. Poor data quality can lead to wrong business decisions, poor quality software or biased AI trainings, due to inaccurate, incomplete, or unreliable information. Enter Rudol, your data quality partner, designed to elevate your data quality game to new heights. Rudol is a comprehensive data quality platform that empowers organizations to maximize the value of their data. It's tailor-made for enterprises that recognize the importance of data quality, from improving decision-making to regulatory compliance, machine learning training or simply reducing problems in published software. And it does it for your whole organization, because it requires no technical background or coding skills whatsoever, its completely self service with 24/7 support, and all user accounts are Free, because the subscription cost is determined by the volume of your Data, enabling your whole structure to be part of the process. The foundation of data quality is understanding the landscape of your Assets. Rudol's Data Catalog allows organizations to bring order to their stack, by adding data sources from the most popular technologies, whether it's structured SQL databases, spreadsheets, dashboards, or even streaming sources. Then teams can perform Governance processes and define Owners, classify under Domains or Tags, put sensitive labels and help teams discover unknown sources for their projects. For those who don't want to have another browser tab opened, Rudol provides Slack, Microsoft Teams and Google Chrome plugins with vast functionalities, so you can find and share resources while chatting with another team member, or in your browser as a sidebar, while using your favorite analytics platform. Enabling Data Quality is a tedious process, Business Stakeholders have to chime in trying to translate their vision into technical requirements, and Software Engineers have to interpret those requirements, for coding boring, repetitive and time consuming scripts. This process is done with friction, and is very difficult to maintain over time, so Rudol bypasses this process by giving Business Stakeholders easy to build Validations that require no coding background and are extremely easy to configure. Choose from more than 15 Business Rules Validations or let Rudol parse your Data to pre configure some of them, the process takes less than 3 minutes and you can massively configure Validations to all your Assets in an instant. Releasing your Data Team from this repetitive tasks is crucial for optimizing their work and getting more value out of the practice, that's why Rudol also offers AI Validations to detect Anomalies where no business rules are defined. Use one of our 3 models to detect inconsistencies where not even Business Stakeholders can notice, and proactively notify your interested roles to identify hidden problems or false positives, because the models learn and improve with your feedback. Rudol also offers Lineage level traceability for Root Cause and Impact Analysis, allowing you to trace data from source to destination across data pipelines. Understand the upstream and downstream implications of any data issue, promoting accountability and transparency, or copy Validations accross your pipeline flow for higher quality coverage. With Rudol, Data Quality becomes accesible and easy to execute. It's designed for all levels of technical expertise, allowing everyone in your organization to participate in maintaining data quality. Rudol enhances decision-making, reduces infrastructure costs, and empowers organizations to make the most out of their data. Don't let poor data quality hinder your success. Choose Rudol and enable the real power of your Data.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind Rudol?

  • Seller: Rudol
  • Year Founded: 2022
  • HQ Location: N/A
  • LinkedIn® Page: www.linkedin.com
    7 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Rudol?

SyncSort Integrate

Trillium Refine enables you to anticipate opportunities.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate SyncSort Integrate?

  • Quality of Support: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)

Who Is the Company Behind SyncSort Integrate?

  • Seller: Precisely
  • HQ Location: Burlington, Massachusetts
  • Twitter: @PreciselyData
    3,963 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,046 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of SyncSort Integrate?

The Cognite AI & Data Platform

The Cognite AI and Data Platform™ is a sophisticated Industrial DataOps solution specifically designed for asset-intensive industries seeking to harness the power of their operational and engineering data. Founded in 2016 and based in Tempe, Arizona, Cognite aims to facilitate the transformation of complex data environments into actionable insights that drive efficiency and innovation across various sectors. This cloud-native platform excels in ingesting and contextualizing data from a multitude of sources, including Information Technology (IT), Operational Technology (OT), and engineering systems. By creating a unified industrial knowledge graph, the Cognite AI and Data Platform integrates data from historians, Enterprise Resource Planning (ERP) systems, Computerized Maintenance Management Systems (CMMS), and even 3D models. This comprehensive approach allows organizations to standardize their data models and utilize robust APIs, enabling secure workspaces that support advanced analytics, interactive dashboards, and AI-driven applications. Targeted primarily at industries that rely heavily on operational data, such as manufacturing, energy, and utilities, the Cognite AI and Data Platform addresses specific use cases that enhance productivity and operational efficiency. For instance, organizations can leverage the platform for production optimization, where real-time data insights lead to improved throughput and reduced operational bottlenecks. Additionally, the platform supports predictive maintenance initiatives, allowing companies to anticipate equipment failures before they occur, thereby minimizing downtime and associated costs. Key features of the Cognite AI and Data Platform include its ability to transform fragmented data into a trusted and contextual foundation, which is crucial for making informed decisions. By providing a centralized repository of data, users gain full ownership and control over their information, facilitating compliance and security. Moreover, the platform’s scalability enables organizations to implement AI initiatives that can evolve with their operational needs, ensuring that they remain competitive in a rapidly changing industrial landscape. Overall, the Cognite AI and Data Platform stands out in the DataOps category by offering a comprehensive solution that not only integrates disparate data sources but also empowers organizations to unlock the full potential of their industrial data. Through its focus on contextualization and user-friendly interfaces, it provides significant value to companies looking to enhance their operational capabilities and drive long-term growth.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate The Cognite AI & Data Platform?

  • Quality of Support: 9.2/10 (Category avg: 8.9/10)
  • Ease of Use: 5.8/10 (Category avg: 8.8/10)

Who Is the Company Behind The Cognite AI & Data Platform?

  • Seller: Cognite
  • Company Website:
  • Year Founded: 2016
  • HQ Location: Tempe, Arizona, United States
  • LinkedIn® Page: www.linkedin.com
    760 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of The Cognite AI & Data Platform?

Zengines

Zengines is a technology company that transforms how organizations handle data migrations and mainframe modernization by empowering business users and technical specialists alike with modern AI-powered tools. Our platform includes end-to-end Data Migration tools and Mainframe Data Lineage solutions that illuminate and decode "black box" legacy systems, accelerating projects by 80% while significantly reducing risk and cost. We primarily serve financial services firms and their technology partners who struggle with unpredictable data and legacy systems during critical transformation initiatives. Global organizations use Zengines across their enterprise for the constant stream of initiatives that involve systems change - core conversions, systems implementations, new customer onboarding, audit, and compliance reporting.

Average Rating: 5.0/5.0

Total Reviews: 3

How Do G2 Users Rate Zengines?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Quality of Support: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Zengines?

  • Seller: Zengines
  • Year Founded: 2020
  • HQ Location: Bedford, US
  • LinkedIn® Page: www.linkedin.com
    17 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Large, 33% Medium

What Do G2 Reviewers Say About Zengines?

AI-generated summary from verified user reviews

Pros
  • Users value the frictionless user experience of Zengines, making integration and implementation with legacy applications seamless.
  • Users commend the innovative approach of Zengines, significantly enhancing user experience and reducing mapping efforts.
  • Users commend the AI integration in Zengines for simplifying analysis of legacy applications and extracting valuable insights.
  • Users value the excellent communication from the team, who are dedicated to solving client challenges effectively.
  • Users commend the amazing customer support of Zengines, highlighting their vision and focus on client challenges.
Cons
  • Users desire improved mapping issues related to compliance and the integration of new domains in Zengines.

What Are Recent G2 Reviews of Zengines?

1Platform

1Platform by Polestar Analytics is a unified, low-code data intelligence ecosystem that transforms enterprise data management through its powerful orchestration engine, AI capabilities, and comprehensive analytics portal. Built with a no-code platform for data engineering, it seamlessly integrates 100+ data sources while providing automated data lake acceleration, historical data migration, and comprehensive data quality scorecards with execution logs for complete governance. What sets 1Platform apart is its ability to deliver actionable intelligence at scale through unified insights access, agentic and generative AI capabilities that go beyond data summarization to extract additional insights and advanced preloaded, scalable and customisable LLM and reasoning models reducing time and talent requirement. The platform operates through a single, intuitive interface across any cloud environment with modular, plug-and-play architecture, featuring access-based configuration for analytics, dashboard management, and a comprehensive notifications hub for tracking key activities. Backed by 350+ successful clients, 1,000+ implementations, and an exceptional 87% repeat business rate across 20+ global markets, Polestar Analytics delivers the agility, speed, and intelligence that modern enterprises demand to maintain their competitive edge.

Who Is the Company Behind 1Platform?

  • Seller: Polestar Analytics
  • Year Founded: 2012
  • HQ Location: Plano, US
  • Twitter: @PolestarLLP
    508 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    634 employees on LinkedIn®

Apache Hop

A workflow processing engine for data transformation pipelines, written in Java. With desktop and web GUIs for pipeline construction & operation, and workflow management. No code pipeline configuration. Extensive connections & transform ability.

Who Is the Company Behind Apache Hop?

Athenian.io

AI-Powered Data Automation for SAP & Enterprise Systems. Athenian.io is a next-generation enterprise data platform that automates the entire data lifecycle—from data modeling to API creation, infrastructure deployment, and real-time analytics. Unlike traditional platforms that require manual ETL, complex pipelines, and expensive engineering, Athenian.io uses AI to generate fully functional SAP-ready applications in seconds—without writing a single line of code. Key Features & Capabilities AI-Powered Data Modeling – Convert natural language into fully structured data models. ✅ End-to-End Automation – Instantly generate data models, APIs, infrastructure, and analytics dashboards. ✅ SAP & ERP Integration – Ready for SAP S/4HANA, SAP BW, and other enterprise ERP systems. ✅ No-Code & Low-Code – Business users can build applications without IT bottlenecks. ✅ Metadata-Driven Architecture – Athenian’s metadata engine intelligently structures relationships, tables, and analytics. ✅ Cost Savings & Efficiency – Reduces SAP & data integration costs by over 60% while accelerating time-to-insights. Who Uses Athenian.io? 💼 SAP Consultants & ERP Teams – Automate SAP data modeling, reporting, and analytics. 💡 CIOs, CTOs & IT Leaders – Streamline enterprise data integration & application deployment. 📊 Business Intelligence & Data Teams – Build data models, dashboards, and APIs without code. ⚙️ Enterprise Architects & Data Engineers – Automate complex data transformations & workflows. Why Athenian.io? (Competitive Edge) 🚀 No More Data Pipelines – AI Automates Everything. 💰 Cuts SAP Data Integration Costs by 60%+. ⚡ Deploys Full ERP Applications in Seconds, Not Months. 🔄 Fully AI-Driven, No-Code, & ERP-Ready.

Who Is the Company Behind Athenian.io?

Attlaz

Our vision is to make connecting platforms easy to manage, accessible, transparent, stable and collaborative. Ultimately this empowers clients to take control of their data, saving money and time in the process.

Who Is the Company Behind Attlaz?

  • Seller: Attlaz
  • Year Founded: 2017
  • HQ Location: London, GB
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®
Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026