Best Enterprise Big Data Integration Platforms

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, Informatica Data Integration and Engineering, Snowflake, Azure Data Factory, Amazon Redshift, Workato, and AWS Glue.

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=informatica-data-integration-and-engineering&focus%5B%5D=snowflake&focus%5B%5D=azure-data-factory&focus%5B%5D=amazon-redshift&focus%5B%5D=workato&focus%5B%5D=aws-glue&segment=enterprise)

Alteryx

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

Average Rating: 4.6/5.0

Total Reviews: 932

How Do G2 Users Rate Alteryx?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.0/10)
  • Quality of Support: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 8.7/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Alteryx?

  • Seller: Alteryx
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®
  • Ownership: Private

Who Uses This Product?

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

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Alteryx, enabling them to work efficiently without coding expertise.
  • Users appreciate the automation capabilities of Alteryx, enabling efficient workflows and streamlined data processing.
  • Users find Alteryx to be super-intuitive, making complex data analysis and migration tasks significantly easier.
  • Users find Alteryx to be super-intuitive and easy to learn, greatly simplifying their data analysis processes.
  • Users commend Alteryx for its efficiency, with quick workflows and time savings in data preparation and automation.
Cons
  • Users find the expensive licensing costs of Alteryx a barrier for wider adoption and utilization.
  • Users find the learning curve steep, requiring time to grasp all the tools effectively.
  • Users are frustrated with missing features like improved email notifications and bugs in tools during transitions.
  • Users find that mastering advanced tools in Alteryx requires time, affecting overall ease of use.
  • Users experience slow performance with large workflows on Alteryx, impacting efficiency and usability significantly.

What Are Recent G2 Reviews of Alteryx?

Google Cloud BigQuery

BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.

Average Rating: 4.5/5.0

Total Reviews: 1,161

How Do G2 Users Rate Google Cloud BigQuery?

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

Who Is the Company Behind Google Cloud BigQuery?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

Who Uses This Product?

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

What Do G2 Reviewers Say About Google Cloud BigQuery?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Google Cloud BigQuery, appreciating its intuitive interface and fast query execution.
  • Users admire the fast query performance of Google Cloud BigQuery, enhancing their experience with large datasets.
  • Users value the fast querying capabilities of Google Cloud BigQuery, enabling efficient analysis of large datasets.
  • Users value the seamless SQL integration of BigQuery, enhancing data analytics in the Google Cloud ecosystem.
  • Users value the query efficiency of Google Cloud BigQuery, enjoying fast performance on large datasets with ease.
Cons
  • Users find the costs can escalate quickly without careful query optimization and monitoring on Google Cloud BigQuery.
  • Users experience query issues leading to escalated costs and unexpected behavior with special characters in BigQuery.
  • Users find that costs can escalate quickly with Google Cloud BigQuery due to unoptimized queries and large datasets.
  • Users report that costs can escalate quickly due to needing careful optimization and monitoring for large-scale queries.
  • Users find the learning curve steep for Google Cloud BigQuery, requiring significant time to master its features.

What Are Recent G2 Reviews of Google Cloud BigQuery?

What Are G2 Users Discussing About Google Cloud BigQuery?

Informatica Data Integration and Engineering

Cloud Data Integration (CDI) is a comprehensive, AI-powered ETL and ELT solution designed to easily move, transform, and synchronize data between various sources and target systems across any cloud, anywhere, at scale. Built on a modern technology stack, CDI offers easy, efficient and cost-effective data ingestion, transformation, synchronization, and replication for a multi-cloud and serverless world for everyone and everywhere. It covers diverse integration patterns, ensuring you have well-architected and seamlessly automated data pipelines for all your advanced analytics and AI needs.

Average Rating: 4.3/5.0

Total Reviews: 320

How Do G2 Users Rate Informatica Data Integration and Engineering?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 9.0/10)
  • 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: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Informatica Data Integration and Engineering?

  • Seller: Informatica
  • Company Website:
  • Year Founded: 1993
  • HQ Location: Redwood City, CA
  • LinkedIn® Page: www.linkedin.com
    2,473 employees on LinkedIn®
  • Ownership: NYSE: INFA

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Large, 28% Medium

What Do G2 Reviewers Say About Informatica Data Integration and Engineering?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Informatica Data Integration, making ETL tasks manageable for both beginners and experts.
  • Users appreciate the efficiency of Informatica Data Integration, benefiting from seamless connectivity and scalable data transfers.
  • Users appreciate the robust connectivity and ease of use of Informatica Data Integration for ETL tasks.
  • Users value the time-saving access of Informatica Data Integration, enabling efficient workflows without software installation.
  • Users appreciate the automation features of Informatica CDI, enhancing their data integration workflows efficiently.
Cons
  • Users find the complexity of setup and configuration challenging, especially for newcomers to the platform.
  • Users find the complex usability of Informatica Data Integration and Engineering challenging, especially for beginners.
  • Users find debugging difficult, as it often requires significant effort and complex configurations to resolve issues effectively.
  • Users find the difficult setup process of Informatica Data Integration and Engineering challenging, especially for newcomers to the platform.
  • Users struggle with unusual error messages in Informatica, often requiring tedious troubleshooting to resolve mapping issues.

What Are Recent G2 Reviews of Informatica Data Integration and Engineering?

What Are G2 Users Discussing About Informatica Data Integration and Engineering?

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Snowflake

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).

Average Rating: 4.6/5.0

Total Reviews: 731

How Do G2 Users Rate Snowflake?

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

Who Is the Company Behind Snowflake?

  • Seller: Snowflake, Inc.
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Menlo Park, California, United States
  • LinkedIn® Page: www.linkedin.com
    12,574 employees on LinkedIn®
  • Ownership: NYSE:SNOW

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Medium, 42% Large

What Do G2 Reviewers Say About Snowflake?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Snowflake, enjoying its user-friendly interface and seamless scalability for data analysis.
  • Users appreciate the flexible scalability of Snowflake, allowing independent adjustments to performance and efficient resource management.
  • Users value the effortless data management Snowflake offers, enabling quick analysis without infrastructure concerns.
  • Users appreciate the user-friendly interface of Snowflake, making navigation easy and intuitive for SQL tasks.
  • Users value the strong integration ecosystem of Snowflake, which enhances versatility and simplifies data workflows seamlessly.
Cons
  • Users find Snowflake to be expensive, as costs can escalate quickly without careful usage monitoring and optimization.
  • Users highlight the high costs associated with Snowflake, especially for unoptimized workloads and usage spikes.
  • Users find cost management challenging, as compute expenses can escalate quickly without careful monitoring and optimization.
  • Users find the learning curve for advanced features in Snowflake steep, especially for newcomers needing rapid proficiency.
  • Users find feature limitations in Snowflake, particularly in cost management and control over optimization and dynamic scripting.

What Are Recent G2 Reviews of Snowflake?

What Are G2 Users Discussing About Snowflake?

Amazon Redshift

Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Average Rating: 4.3/5.0

Total Reviews: 387

How Do G2 Users Rate Amazon Redshift?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 9.0/10)
  • Quality of Support: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 8.6/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Amazon Redshift?

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 40% Large, 39% Medium

What Do G2 Reviewers Say About Amazon Redshift?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Amazon Redshift, finding it simple to implement and manage effectively.
  • Users appreciate the smooth integrations of Amazon Redshift, enhancing efficiency and collaboration with various software platforms.
  • Users love the easy integrations with other software, enhancing their experience with Amazon Redshift and data management.
  • Users value the fast querying capabilities of Amazon Redshift, enhancing efficiency in handling large datasets effortlessly.
  • Users appreciate the impressive scalability of Amazon Redshift, enabling efficient handling of large data volumes effortlessly.
Cons
  • Users find the operational complexity of Amazon Redshift to be a significant challenge, requiring extensive optimization efforts.
  • Users note the feature limitations in Amazon Redshift, including data type restrictions and outdated Postgre setup.
  • Users face software limitations with Amazon Redshift, including costly scaling and restricted data type support.
  • Users face challenges with query issues, including optimization needs, concurrency management, and performance degradation with complex data.
  • Users note that query optimization demands significant effort and specialized knowledge, complicating overall user experience.

What Are Recent G2 Reviews of Amazon Redshift?

What Are G2 Users Discussing About Amazon Redshift?

Azure Data Factory

Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems. Key Features and Functionality: - Extensive Connectivity: ADF offers over 90 built-in connectors, allowing integration with a wide array of data sources, including relational databases, NoSQL systems, SaaS applications, APIs, and cloud storage services. - Code-Free Data Transformation: Utilizing mapping data flows powered by Apache Spark™, ADF enables users to perform complex data transformations without writing code, streamlining the data preparation process. - SSIS Package Rehosting: Organizations can easily migrate and extend their existing SQL Server Integration Services (SSIS) packages to the cloud, achieving significant cost savings and enhanced scalability. - Scalable and Cost-Effective: As a serverless service, ADF automatically scales to meet data integration demands, offering a pay-as-you-go pricing model that eliminates the need for upfront infrastructure investments. - Comprehensive Monitoring and Management: ADF provides robust monitoring tools, allowing users to track pipeline performance, set up alerts, and ensure efficient operation of data workflows. Primary Value and User Solutions: Azure Data Factory addresses the complexities of modern data integration by providing a unified platform that connects disparate data sources, automates data workflows, and facilitates advanced data transformations. This empowers organizations to derive actionable insights from their data, enhance decision-making processes, and accelerate digital transformation initiatives. By offering a scalable, cost-effective, and code-free environment, ADF reduces the operational burden on IT teams and enables data engineers and business analysts to focus on delivering value through data-driven strategies.

Average Rating: 4.6/5.0

Total Reviews: 97

How Do G2 Users Rate Azure Data Factory?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.0/10)
  • Quality of Support: 8.8/10 (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 Azure Data Factory?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT
  • Phone: +1 (877) 276-2464

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 59% Large, 30% Medium

What Do G2 Reviewers Say About Azure Data Factory?

AI-generated summary from verified user reviews

Pros
  • Users value the powerful data integration capabilities of Azure Data Factory, enabling efficient workflows across diverse data sources.
  • Users appreciate the ease of use in Azure Data Factory for managing complex data integrations effortlessly.
  • Users appreciate the ease of connecting data sources with Azure Data Factory, streamlining data integration and management.
  • Users value the seamless integration of Azure Data Factory, enhancing their ability to manage complex data workflows efficiently.
  • Users value the scalability of Azure Data Factory, allowing seamless and efficient data integration across diverse sources.
Cons
  • Users find debugging challenging, as error messages are unclear and complex pipelines are hard to manage.
  • Users find the difficult debugging of Azure Data Factory frustrating, particularly with complex pipelines and unclear error messages.
  • Users find Azure Data Factory expensive as costs rise with pipeline complexity, making budgeting and optimization challenging.
  • Users find feature limitations in Azure Data Factory, particularly in debugging and Power BI integration, affecting usability.
  • Users report that the product's complexity can lead to frustrating experiences with debugging and integration challenges.

What Are Recent G2 Reviews of Azure Data Factory?

What Are G2 Users Discussing About Azure Data Factory?

Workato

Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 customers including half the Fortune 500, Workato connects every system, process, and data source with 14,000+ pre-built connectors. What sets Workato apart: Enterprise MCP turns proven business processes into governed, agent-ready skills that any AI agent — Claude, ChatGPT, Cursor, or custom-built — can execute safely and predictably. No rip-and-replace required. Whether modernizing legacy integrations or deploying agentic AI at scale, Workato delivers the orchestration, governance, and trust needed in the enterprise.

Average Rating: 4.7/5.0

Total Reviews: 828

How Do G2 Users Rate Workato?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.0/10)
  • Quality of Support: 9.2/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Workato?

  • Seller: Workato
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Mountain View, California
  • LinkedIn® Page: www.linkedin.com
    1,466 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 41% Medium, 34% Large

What Do G2 Reviewers Say About Workato?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use and flexibility of Workato invaluable for building automations effortlessly.
  • Users praise the easy integration capabilities of Workato with numerous prebuilt connectors for seamless workflows.
  • Users find the easy integrations with prebuilt connectors in Workato make workflow automation seamless and user-friendly.
  • Users value the easy-to-use automation features of Workato, enabling quick workflow creation for non-technical individuals.
  • Users value the intuitive drag-and-drop interface of Workato, enabling effortless workflow creation and quick automation.
Cons
  • Users find Workato's complex workflows and technical nature challenging, particularly for beginners and marketers.
  • Users find the steep learning curve of Workato challenging, requiring significant effort to navigate its complexities.
  • Users find the lack of pre-built connectors and troubleshooting tools limits Workato's usability and overall experience.
  • Users find data limitations frustrating, particularly regarding pricing and troubleshooting challenges with Workato's workflows.
  • Users find the high pricing of Workato to be a significant barrier for smaller teams, leading to frustration.

What Are Recent G2 Reviews of Workato?

What Are G2 Users Discussing About Workato?

Fivetran

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

Average Rating: 4.3/5.0

Total Reviews: 839

How Do G2 Users Rate Fivetran?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.0/10)
  • Quality of Support: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Fivetran?

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

Who Uses This Product?

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

What Do G2 Reviewers Say About Fivetran?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Fivetran, praising its intuitive interface and simple setup processes.
  • Users value Fivetran's easy setup, allowing seamless integration without needing deep technical expertise.
  • Users highlight the easy integration of Fivetran, enabling quick setup and reliable connections across platforms.
  • Users highlight the responsive and helpful customer support of Fivetran, ensuring a smooth data integration experience.
  • Users appreciate the user-friendly interface of Fivetran, making data integration and connector setup seamless and intuitive.
Cons
  • Users experience sync issues with Fivetran, leading to delays and difficulties in data management for projects.
  • Users find Fivetran to be expensive, especially for startups and small businesses with high data volumes.
  • Users face integration issues with Fivetran, particularly with costly dependencies and missing connectors for certain data sources.
  • Users express concerns about high pricing issues with Fivetran, especially as data needs grow and scale.
  • Users note the steep learning curve with Fivetran, requiring technical skills for complex queries and overcoming initial confusion.

What Are Recent G2 Reviews of Fivetran?

What Are G2 Users Discussing About Fivetran?

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?

Astro by Astronomer

For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Astronomer is the driving force behind Apache Airflow™, the de facto standard for expressing data flows as code. Airflow is downloaded more than 31 million times each month and is used by hundreds of thousands of teams around the world.

Average Rating: 4.5/5.0

Total Reviews: 135

How Do G2 Users Rate Astro by Astronomer?

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

Who Is the Company Behind Astro by Astronomer?

  • Seller: Astronomer
  • Company Website:
  • Year Founded: 2018
  • HQ Location: New York, US
  • LinkedIn® Page: www.linkedin.com
    4,483 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About Astro by Astronomer?

AI-generated summary from verified user reviews

Pros
  • Users find Astro by Astronomer to be easy to use, enhancing productivity with seamless integrations and efficient task management.
  • Users value the efficiency improvement of Astro by Astronomer, enhancing productivity and simplifying Airflow management.
  • Users love the intuitive interface of Astro, making Airflow orchestration and management effortless and efficient.
  • Users value the automation capabilities of Astro by Astronomer, simplifying task management and enhancing workflow efficiency.
  • Users praise the deployment ease of Astro by Astronomer, simplifying Airflow management and enhancing productivity effortlessly.
Cons
  • Users find Astro by Astronomer to be expensive, which poses challenges for small teams and flexibility in setups.
  • Users face a steep learning curve with Astro, making initial adaptation and training time-consuming.
  • Users find the learning curve challenging, requiring substantial time for new users to adapt and train effectively.
  • Users find the steep learning curve of Astro challenging, requiring additional time and effort for new users.
  • Users find Astro by Astronomer has limited customization options, impacting flexibility and adaptability for diverse needs.

What Are Recent G2 Reviews of Astro by Astronomer?

What Are G2 Users Discussing About Astro by Astronomer?

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?

Palantir Foundry

Foundry is a transformative data platform built to help solve the modern enterprise’s most critical problems by creating a central operating system for an organization’s data, while securely integrating siloed data sources into a common analytics and operations picture. Palantir works with commercial companies and government organizations alike to close the operational loop, feeding real-time data into your data science models and updating source systems. With a breadth of industry-leading capabilities, Palantir can help enterprises traverse and operationalize data to enable and scale decision-making, alongside best-in-class security, data protection, and governance. Foundry was named by Forrester as a leader in the The Forrester Wave™: AI/ML Platforms, Q3 2022. Scoring the highest marks possible in product vision, performance, market approach, and applications criteria. As a Dresner-Award winning platform, Foundry is the overall leader in the BI and Analytics market and rated a perfect 5/5 by its customer base.

Average Rating: 4.2/5.0

Total Reviews: 31

How Do G2 Users Rate Palantir Foundry?

  • Has the product been a good partner in doing business?: 5.6/10 (Category avg: 9.0/10)
  • Quality of Support: 8.0/10 (Category avg: 8.9/10)
  • Ease of Use: 8.3/10 (Category avg: 8.9/10)
  • Ease of Admin: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Palantir Foundry?

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

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 52% Large, 26% Small

What Do G2 Reviewers Say About Palantir Foundry?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the integration of AI workflows in Palantir Foundry, enhancing their tech stack and data ecosystem.
  • Users value the AI workflow integration of Palantir Foundry, enhancing their tech stack and data ecosystem effectively.
  • Users appreciate the seamless AI integration in Palantir Foundry, enhancing their tech and data workflows significantly.
  • Users value the integration of AI workflows in Palantir Foundry, enhancing their tech stack and data ecosystem.
  • Users benefit from the efficient analysis capabilities of Palantir Foundry, streamlining their data processes and insights.
Cons
  • Users note that Palantir Foundry is not cheap, but they appreciate the value received for the cost.
  • Users find the limited customization options in Palantir Foundry restrictive compared to other open-source alternatives.
  • Users find the limited customization options of Palantir Foundry restrictive compared to other open-source platforms.
  • Users find the limited customization options of Palantir Foundry restrict their ability to tailor the platform to their needs.

What Are Recent G2 Reviews of Palantir Foundry?

Maia

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

Average Rating: 4.5/5.0

Total Reviews: 129

How Do G2 Users Rate Maia?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 9.0/10)
  • Quality of Support: 8.6/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Maia?

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

Who Uses This Product?

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

What Do G2 Reviewers Say About Maia?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Matillion, appreciating its intuitive interface and supportive learning resources for beginners.
  • Users value the automation capabilities of Maia, simplifying complex workflows and enhancing data pipeline efficiency.
  • Users appreciate the simple UI of Matillion, making configuration easy and intuitive for all users.
  • Users appreciate the user-friendly interface of Matillion, making it easy for anyone to configure and understand.
  • Users appreciate the ETL efficiency of Maia, thanks to seamless cloud integration and a user-friendly visual interface.
Cons
  • Users report feature limitations in Maia, especially regarding API access and workflow performance issues.
  • Users find the pricing model expensive, especially as data volumes increase and costs accumulate.
  • Users face performance issues with Jython and single-thread limitations, alongside clunky components and cloud version deficiencies.
  • Users note the cloud dependency of Maia can lead to challenges and limitations in functionality and customization.
  • Users face API limitations with Matillion, lacking sufficient administrative functions and user-friendly data extraction options.

What Are Recent G2 Reviews of Maia?

What Are G2 Users Discussing About Maia?

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?

ILUM

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible.

Average Rating: 4.9/5.0

Total Reviews: 23

How Do G2 Users Rate ILUM?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.0/10)
  • Quality of Support: 9.5/10 (Category avg: 8.9/10)
  • Ease of Use: 9.3/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind ILUM?

  • Seller: Ilum
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Santa Fe, US
  • LinkedIn® Page: www.linkedin.com
    5 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Telecommunications
  • Company Size: 52% Large, 35% Medium

What Do G2 Reviewers Say About ILUM?

AI-generated summary from verified user reviews

Pros
  • Users commend the user-friendly interface of ILUM, enjoying seamless integration and straightforward workflows for daily tasks.
  • Users value the seamless integration of ILUM with existing tools, enhancing workflows and increasing efficiency.
  • Users value the seamless integrations of ILUM, which enhance workflow efficiency without major overhauls required.
  • Users appreciate the setup ease of ILUM, allowing seamless integration and quick deployment in existing environments.
  • Users value the easy integrations of ILUM, allowing seamless connection with existing tools and workflows.
Cons
  • Users note the complex setup of ILUM, requiring significant initial effort and expertise for optimal configuration.
  • Users find the difficult setup of ILUM challenging, requiring expertise and experimentation to optimize configurations effectively.
  • Users find the learning curve steep for ILUM's advanced features but appreciate effective support for navigation.
  • Users note that administrative settings could be more accessible, requiring extra effort to manage effectively.
  • Users highlight the complexity of initial setup requiring deep technical knowledge and extensive documentation for configuration.

What Are Recent G2 Reviews of ILUM?

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

Reviews Summary: The Best Big Data Integration Platforms Software for Enterprise Businesses

Thanks to 10497 Big Data Integration Platforms software reviews and associated data from users working for large-scale companies, at G2 we have some of the most definitive data on the best Big Data Integration Platforms software for the large space. We have identified 31 individual Big Data Integration Platforms products offering the features, pricing and support that Enterprise 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 large-scale 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)
  • large Big Data Integration Platforms Software Reviews (51-1,000 employees)
  • Enterprise Big Data Integration Platforms Software Reviews (1,001+ employees)

large 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 large-scale 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 large environments. These reviews are written by real G2 users working for these Enterprise companies who have real-world experience with these Big Data Integration Platforms software products.

FAQs About Big Data Integration Platforms Software for Enterprise Businesses

Q. What are the best Big Data Integration Platforms software products for large-scale businesses, according to G2 reviewers?
  • Alteryx - 4.6-stars, 435 reviews (64% from large reviewers)
  • Google Cloud BigQuery - 4.5-stars, 215 reviews (39% from large reviewers)
  • Informatica Data Integration and Engineering - 4.2-stars, 55 reviews (44% from large reviewers)
  • Snowflake - 4.5-stars, 193 reviews (42% from large reviewers)
  • Azure Data Factory - 4.6-stars, 40 reviews (59% from large reviewers)
Q. What are the least-liked Big Data Integration Platforms software products for professionals at large-scale companies, based on the overall G2 rating?
  • WhereScape RED - 3.6-stars, 10 reviews (63% from large reviewers)
  • Peregrine Connect - 4.4-stars, 29 reviews (40% from large reviewers)
  • Keboola - 4.5-stars, 13 reviews (19% from large reviewers)
  • Integrate.io - 4.2-stars, 23 reviews (16% from large reviewers)
  • SAS Data Management - 4.3-stars, 15 reviews (63% from large reviewers)
Q. What are the highest-rated Big Data Integration Platforms software tool features according to employees at Enterprise companies?
  • Not enough data to answer this question.
Q. What are the features that are rated lowest by employees at Enterprise companies?
  • Not enough data to answer this question.
Q. How many Big Data Integration Platforms software reviews are from users working in large companies?

1990 out of all Big Data Integration Platforms software reviews on G2 are from users working in Enterprise companies (19%).

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

What Enterprise Professionals Liked What Enterprise Professionals Disliked

Alteryx: “The speed of solving, the speed of connecting with various data files. We can simply connect a zip folder and then a excel within the file without unzipping the folder. It works so smooth and way faster then MS Excel.”

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Informatica Data Integration and Engineering: “It requires substantial resources to run optimally, especially when handling large workloads. On top of that, licensing fees, ongoing maintenance, and infrastructure needs can make it increasingly expensive as projects evolve. The UI could also be more intuitive and easier to navigate.”

Read Review

AWS Glue: “They are upgrading the things and making it more suitable.”

Read Review

PHEMI Health DataLab: “PHEMI Health DataLab never provides analytics and customized tools. There are also concerns regarding data privacy. It takes time to become familiar, with all the features. Support is unavailable. Overreliance on data-driven solutions overlook the importance of human interaction, empathy, and personalized care in healthcare.”

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Snowflake: “Architecture and flexibility to scale up”

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Alteryx: “The rag-tag nature of the company depending on end-users to create a "community" in which they "foster solutions" AKA they dont want to invest in actual documentation / error resolution, and just rely on us end-users to try and fix each others problems. They sell you their "tech", which has about 999 things in it that you will *never* use, and in their only to inflate the price, and then ... well then your on your own chief!”

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Recommendations To Others Problems Solved & Benefits

IBM StreamSets: “A product to consider for fast-paced Data Engineering pipeline development.”

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Alteryx: “I mostly rely on Alteryx for core SQL ETL pipelines, general data wrangling, and joining disparate sources to enrich datasets before they hit downstream reporting.<br><br>I avoid Excel like the plague whenever possible, but on the rare occasion someone drops a spreadsheet on my desk, 99% of the time it’s an absolute hot mess. Alteryx is fantastic for standardizing that junk data, stripping out the chaos, and integrating it cleanly with our relational databases without having to write endless one-off Python scripts or messy staging tables.”

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Adverity: “Yes and I love to recommend Adverity to other organisational users”

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Maia: “It helps with data discovery by providing a broader view of the data. It also supports building pipelines based on the business rules provided. Error handling could be improved.”

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Fivetran: “Check with Fivetran if you are looking to eliminate your custom ingestion framework and maintenance, as well as the development of new ingestion sources and destinations. Complete a Fivetran POC and learn what this product supports and how it can help your business.”

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Alteryx: “I am using it to build specific formats for clients who want data delivered in a way they can ingest data into their systems. Without this, the client could go to another company who can provide what they are looking for.”

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