Best Enterprise Big Data Integration Platforms - Page 3

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)

Keboola

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

Average Rating: 4.6/5.0

Total Reviews: 138

How Do G2 Users Rate Keboola?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.0/10)
  • Quality of Support: 9.5/10 (Category avg: 8.9/10)
  • Ease of Use: 8.6/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Keboola?

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

Who Uses This Product?

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

What Do G2 Reviewers Say About Keboola?

AI-generated summary from verified user reviews

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

What Are Recent G2 Reviews of Keboola?

What Are G2 Users Discussing About Keboola?

WhereScape RED

WhereScape RED is an end-to-end data automation platform that helps teams build, deploy and operate data warehouses faster. It connects diverse data sources, generates platform native code and automates orchestration, documentation and lineage; reducing the need for manual development. By standardising repeatable processes, WhereScape RED helps organizations deliver reliable data infrastructure more quickly, adapt to change and reduce development effort.

Average Rating: 3.9/5.0

Total Reviews: 35

How Do G2 Users Rate WhereScape RED?

  • Has the product been a good partner in doing business?: 7.2/10 (Category avg: 9.0/10)
  • Quality of Support: 6.6/10 (Category avg: 8.9/10)
  • Ease of Use: 7.5/10 (Category avg: 8.9/10)
  • Ease of Admin: 7.4/10 (Category avg: 8.5/10)

Who Is the Company Behind WhereScape RED?

Who Uses This Product?

  • Top Industries: Financial Services, Hospital & Health Care
  • Company Size: 52% Large, 38% Medium

What Do G2 Reviewers Say About WhereScape RED?

AI-generated summary from verified user reviews

Cons
  • Users find that the poor documentation hinders their ability to effectively understand and utilize WhereScape RED.

What Are Recent G2 Reviews of WhereScape RED?

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.”

Read Review

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.”

Read Review

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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