Best Enterprise Big Data Integration Platforms

How Many Big Data Integration Platforms Products Does G2 Track?

Total Products under this Category: 134

Category Stats (Sep 2026)

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

Last updated: September 15, 2026

How Does G2 Rank Big Data Integration Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 10,800+ Authentic Reviews
  • 134+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Big Data Integration Platforms

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

Highlighted products: Alteryx, Google Cloud BigQuery, Snowflake, Informatica Data Integration and Engineering, Azure Data Factory, Workato, Amazon Redshift, 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=snowflake&focus%5B%5D=informatica-data-integration-and-engineering&focus%5B%5D=azure-data-factory&focus%5B%5D=workato&focus%5B%5D=amazon-redshift&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: 863

How Do G2 Users Rate Alteryx?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Alteryx?

  • Seller: Alteryx
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • Twitter: @alteryx
    26,149 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Financial Services, Accounting
  • Company Size: 63% Large, 21% Medium

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Alteryx, finding it simple to automate tasks with drag and drop functionality.
  • Users value the automation capabilities of Alteryx, streamlining data processes and enhancing analytical efficiency.
  • Users find Alteryx to be very intuitive, making it easy for non-technical users to learn and utilize.
  • Users find that Alteryx's interface makes learning technology easy for everyone, even those without a tech background.
  • Users value Alteryx for its efficiency in managing data, streamlining workflows, and enhancing overall productivity.
Cons
  • Users highlight the expensive pricing of Alteryx, making it difficult for small teams or startups to afford licenses.
  • Users face a steep learning curve with Alteryx, requiring time to master its complex features.
  • Users find that Alteryx suffers from missing features, such as lack of direct database access and limited reporting tools.
  • Users find the learning difficulty of Alteryx steep, especially for those unfamiliar with RegEx and SQL.
  • Users experience slow performance with Alteryx, particularly when handling large workflows and during data wrangling tasks.

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: 1,144

How Do G2 Users Rate Google Cloud BigQuery?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.9/10)
  • Quality of Support: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.7/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Google Cloud BigQuery?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

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, enabling fast analysis without needing to manage infrastructure.
  • Users appreciate the incredible speed of BigQuery, making data processing effortless and efficient for large datasets.
  • Users value the seamless integrations of Google Cloud BigQuery, enhancing analytics and supporting various data types effortlessly.
  • Users appreciate the fast querying capabilities of Google Cloud BigQuery, enabling quick analysis of massive datasets effortlessly.
  • Users value the query efficiency of BigQuery, enabling fast analysis of massive datasets with minimal effort.
Cons
  • Users find the cost structure expensive, especially with complex queries leading to rapidly escalating charges.
  • Users often face query issues with BigQuery, as inefficient queries can rapidly increase costs and complicate budgeting.
  • Users find the cost management challenging, facing unpredictable pricing and needing strict governance to maintain budgets.
  • Users face cost issues with Google Cloud BigQuery, often leading to unexpectedly high bills and budget management challenges.
  • Users find the steep learning curve for advanced features challenging, requiring significant time and effort to master.

What Are Recent G2 Reviews of Google Cloud BigQuery?

What Are G2 Users Discussing About Google Cloud BigQuery?

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: 713

How Do G2 Users Rate Snowflake?

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

Who Is the Company Behind Snowflake?

  • Seller: Snowflake, Inc.
  • Company Website:
  • Year Founded: 2012
  • HQ Location: 135 Constitution Drive, Menlo Park CA
  • Twitter: @SnowflakeDB
    278 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    12,574 employees on LinkedIn®

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 appreciate the ease of use of Snowflake, which simplifies data sharing and enhances productivity across teams.
  • Users value the reliable features and user-friendly interface of Snowflake, enhancing data management and analytics efficiency.
  • Users appreciate the ease of use and efficient data integration in Snowflake for their warehousing projects.
  • Users value the seamless scalability of Snowflake, enabling efficient handling of large datasets and workload changes without performance loss.
  • Users value the fast and efficient data processing capabilities of Snowflake, enhancing their analysis experience significantly.
Cons
  • Users highlight the high costs of Snowflake, making it less accessible for smaller businesses with limited budgets.
  • Users find feature limitations in Snowflake, such as lack of code blocks and restricted permissions, frustrating.
  • Users find the learning curve steep, requiring training due to its complexity and overwhelming interface for beginners.
  • Users often struggle with high costs due to unoptimized queries and inadequate cost control measures in Snowflake.
  • Users find the cost structure challenging, requiring time to optimize for efficient use of Snowflake.

What Are Recent G2 Reviews of Snowflake?

What Are G2 Users Discussing About Snowflake?

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: 309

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: 8.9/10)
  • Quality of Support: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.1/10 (Category avg: 8.6/10)

Who Is the Company Behind Informatica Data Integration and Engineering?

  • Seller: Informatica
  • Company Website:
  • Year Founded: 1993
  • HQ Location: Redwood City, CA
  • Twitter: @Informatica
    99,643 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,473 employees on LinkedIn®

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 find Informatica Data Integration's ease of use remarkable, favoring its intuitive interface and drag-and-drop functionality.
  • Users value the efficiency of Informatica Data Integration, enabling reliable and scalable ETL processes seamlessly.
  • Users value the ease of use and extensive connectivity of Informatica Cloud Data Integration for efficient ETL processes.
  • Users value the time-saving capabilities of Informatica Data Integration, benefiting from efficient cloud access and automation.
  • Users appreciate the automation features of Informatica Data Integration, enhancing efficiency in data workflows and scheduling.
Cons
  • Users find the complexity of setup and configuration challenging, particularly for beginners navigating the platform.
  • Users find the complex usability of Informatica Data Integration challenging, especially during setup and performance optimization.
  • Users find that debugging can be difficult, as it often requires significant effort and expertise to manage effectively.
  • Users find the difficult setup process challenging, especially for newcomers to the Informatica platform.
  • Users find the error messages frustrating and lacking documentation, complicating their experience with the tool.

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

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

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: 96

How Do G2 Users Rate Azure Data Factory?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 8.9/10)
  • 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: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Azure Data Factory?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 59% Large, 31% Medium

What Do G2 Reviewers Say About Azure Data Factory?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless data integration capabilities of Azure Data Factory, simplifying complex workflows across multiple sources.
  • Users value the ease of use of Azure Data Factory, simplifying data integration with a low-code, visual interface.
  • Users highlight the ease of connecting various data sources in Azure Data Factory, simplifying data integration significantly.
  • Users value the seamless integration capabilities of Azure Data Factory for efficient data movement and automation.
  • Users value the scalability of Azure Data Factory, enabling seamless integration and management of large data workflows effortlessly.
Cons
  • Users find debugging difficult in Azure Data Factory, citing limitations and a complex experience for troubleshooting pipelines.
  • Users find difficult debugging in Azure Data Factory frustrating, particularly with complex pipelines and limited troubleshooting tools.
  • Users find Azure Data Factory expensive due to potential high costs from large data volumes and frequent pipeline usage.
  • Users find feature limitations in Azure Data Factory, particularly in logging, monitoring, and complex transformations.
  • Users express frustration with the complexity of Azure Data Factory, citing challenges in debugging and managing intricate workflows.

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: 763

How Do G2 Users Rate Workato?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Workato?

  • Seller: Workato
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Mountain View, California
  • Twitter: @Workato
    3,641 Twitter followers
  • 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: 43% Medium, 33% Large

What Do G2 Reviewers Say About Workato?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Workato, enabling quick automation without needing technical expertise.
  • Users love the easy integrations with Workato, allowing quick automation of tools like Salesforce and Slack.
  • Users love how Workato's easy integrations simplify automation, saving them hours and making processes seamless.
  • Users value the user-friendly and low-code interface of Workato, making business process automation seamless and efficient.
  • Users appreciate the ease of automation with Workato, enabling seamless integrations and saving significant time on repetitive tasks.
Cons
  • Users often find the complexity of Workato overwhelming, particularly regarding pricing and onboarding, leading to confusion.
  • Users find the learning curve steep, with complexity and confusion hindering smooth onboarding and workflow management.
  • Users are frustrated by data limitations in Workato, impacting email sends, job reporting, and large file transfers.
  • Users find the missing features in Workato's connector library limit their integration capabilities with lesser-known applications.
  • Users find the steep learning curve of Workato daunting, especially during onboarding and initial usage.

What Are Recent G2 Reviews of Workato?

What Are G2 Users Discussing About Workato?

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: 371

How Do G2 Users Rate Amazon Redshift?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.9/10)
  • 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: 8.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Amazon Redshift?

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

Who Uses This Product?

  • Who Uses This: Data Engineer, Senior Data 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 fast querying capabilities of Amazon Redshift, enjoying efficient and smooth data access for large datasets.
  • Users appreciate the seamless integrations of Amazon Redshift, enhancing functionality and efficiency across their data solutions.
  • Users appreciate the ease of use of Amazon Redshift, finding it simple to connect and manage data effectively.
  • Users appreciate the easy integrations with other software and AWS services, enhancing their data management experience.
  • Users appreciate the impressive speed and scalability of Amazon Redshift, enhancing their data warehousing experience significantly.
Cons
  • Users note notable feature limitations in Amazon Redshift, particularly in advanced analytics and cross-language coding.
  • Users find software limitations in Redshift, experiencing issues with performance, concurrency, and data type support.
  • Users face significant complexity in optimizations with Redshift, requiring extensive management and specialized knowledge for effective use.
  • Users face query issues, requiring significant time for optimization, tuning, and managing complexity and concurrency challenges.
  • Users face a significant query optimization challenge with Redshift, requiring considerable effort and specialized knowledge.

What Are Recent G2 Reviews of Amazon Redshift?

What Are G2 Users Discussing About Amazon Redshift?

AWS Glue

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

Average Rating: 4.3/5.0

Total Reviews: 194

How Do G2 Users Rate AWS Glue?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • Quality of Support: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind AWS Glue?

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

Who Uses This Product?

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

What Do G2 Reviewers Say About AWS Glue?

AI-generated summary from verified user reviews

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

What Are Recent G2 Reviews of AWS Glue?

What Are G2 Users Discussing About AWS Glue?

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Astro by Astronomer?

  • Seller: Astronomer
  • Company Website:
  • Year Founded: 2018
  • HQ Location: New York, US
  • Twitter: @astronomerio
    19,697 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,513 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 appreciate the ease of use of Astro, finding it intuitive and effective for managing complex workflows.
  • Users appreciate the efficiency improvements of Astro, simplifying workflows and reducing the need for dedicated DevOps resources.
  • Users appreciate the intuitive user interface of Astro, facilitating easy monitoring and management of complex workflows.
  • Users appreciate the automation capabilities of Astro by Astronomer, streamlining workflows and enhancing data orchestration.
  • Users value the deployment ease of Astro by Astronomer, enhancing productivity with simple, reliable, and efficient setups.
Cons
  • Users highlight that Astro by Astronomer can be quite expensive, posing challenges for smaller teams and budget constraints.
  • Users note a steep learning curve with Astro, requiring significant time for adaptation and training.
  • Users find the steep learning curve of Astro challenging, requiring extra time for new team members to adapt.
  • Users note a steep learning curve with Astro, making adaptation challenging for new team members.
  • Users note the feature limitations of Astro, citing high costs and lack of flexibility compared to self-hosting.

What Are Recent G2 Reviews of Astro by Astronomer?

What Are G2 Users Discussing About Astro by Astronomer?

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: 824

How Do G2 Users Rate Fivetran?

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

Who Is the Company Behind Fivetran?

  • Seller: Fivetran
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Oakland, CA
  • Twitter: @fivetran
    5,767 Twitter followers
  • 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 appreciate the ease of integration and maintenance with Fivetran, enhancing their ROI and workflow efficiency.
  • Users value the easy setup of Fivetran, appreciating its seamless integration with existing applications.
  • Users value the easy integration of Fivetran, seamlessly connecting with existing applications and enhancing data access.
  • Users value the responsive customer support from Fivetran, enhancing their overall experience and satisfaction.
  • Users appreciate the intuitive and simple layout of Fivetran, making data management efficient and accessible.
Cons
  • Users report experiencing sync issues that disrupt functionality, causing unpredictable failures and complications in workflow management.
  • Users find Fivetran's pricing to be quite expensive, which limits accessibility and flexibility for wider usage.
  • Users face integration issues with Fivetran, particularly regarding schema ownership and modifying connections amidst platform changes.
  • Users find the learning curve steep, requiring technical knowledge to navigate Fivetran effectively at first.
  • Users find Fivetran's pricing issues hinder accessibility and flexibility, making it less feasible for broader use.

What Are Recent G2 Reviews of Fivetran?

What Are G2 Users Discussing About Fivetran?

IBM StreamSets

IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, data science, smart applications, and hybrid integration.

Average Rating: 4.0/5.0

Total Reviews: 113

How Do G2 Users Rate IBM StreamSets?

  • Has the product been a good partner in doing business?: 8.2/10 (Category avg: 8.9/10)
  • Quality of Support: 8.0/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.9/10)
  • Ease of Admin: 7.8/10 (Category avg: 8.6/10)

Who Is the Company Behind IBM StreamSets?

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

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 43% Large, 34% Medium

What Do G2 Reviewers Say About IBM StreamSets?

AI-generated summary from verified user reviews

Pros
  • Users find IBM StreamSets to offer ease of use with its intuitive interface and beginner-friendly pipeline creation.
  • Users appreciate the user-friendly drag-and-drop interface of IBM StreamSets, enhancing pipeline visualization and debugging efficiency.
  • Users love the effective data management capabilities of IBM StreamSets, simplifying pipeline creation and monitoring across environments.
  • Users appreciate the simplicity of data integration workflows in IBM StreamSets, enjoying its intuitive visual pipeline design.
  • Users appreciate the wide range of integrations in IBM StreamSets, enhancing real-time data handling and simplifying workflows.
Cons
  • Users struggle with the steep learning curve of IBM StreamSets, highlighting the need for deeper technical knowledge and better guidance.
  • Users find the cost of IBM StreamSets to be a concern, especially for smaller teams with limited budgets.
  • Users find the learning difficulty of advanced features in StreamSets challenging, impacting onboarding and overall experience.
  • Users experience slow performance with IBM StreamSets, particularly when managing large data volumes or complex configurations.
  • Users struggle with the steep learning curve of IBM StreamSets, requiring deep technical knowledge to use advanced features.

What Are Recent G2 Reviews of IBM StreamSets?

What Are G2 Users Discussing About IBM StreamSets?

SnapLogic Agentic Integration and Applied AI Platform

The SnapLogic Platform is an agentic integration and automation solution designed to assist enterprise teams in connecting applications, data sources, and APIs while orchestrating AI-powered workflows across both cloud and on-premises environments. Established in 2006 and headquartered in San Mateo, California, SnapLogic serves a diverse range of industries, including financial services, pharmaceuticals, manufacturing, software, and higher education, with a global presence across North America, Europe, and Asia Pacific. Targeted primarily at IT teams, data engineers, and integration specialists, the SnapLogic Platform addresses the critical need for seamless data movement between systems, automation of business processes, and governance of AI agent activities at scale. The platform supports various use cases, including application integration, data pipeline management, API lifecycle management, legacy system modernization, and enterprise AI orchestration. This versatility makes it a valuable tool for organizations looking to enhance their operational efficiency and data accessibility. Key features of the SnapLogic Platform include a visual, low-code pipeline builder that allows teams to create, test, and deploy integrations without the need for extensive coding knowledge. This drag-and-drop designer significantly reduces reliance on developer resources, enabling quicker project turnaround. Additionally, the platform boasts a pre-built Snaps connector library, offering over 1,000 reusable connectors for various enterprise applications, databases, cloud services, and data platforms. This extensive library supports both simple and complex integration patterns, streamlining the integration process. Another notable feature is SnapGPT, an AI co-pilot integrated into the platform that assists users in generating integration pipelines, suggesting data mappings, and troubleshooting issues using natural language inputs. This innovative tool enhances user experience and efficiency, making it easier for teams to navigate the complexities of integration. The platform also includes robust API management tools for creating, publishing, securing, and monitoring APIs, facilitating the exposure and consumption of data services across internal and external systems. Moreover, SnapLogic enables agentic workflow automation, allowing users to design and orchestrate AI agents that execute multi-step business processes. With built-in support for the Model Context Protocol (MCP), organizations can effectively manage agent interactions across various models and tools. The platform also supports data integration and transformation for batch, real-time, and streaming data pipelines, equipped with capabilities for mapping, enrichment, and transformation of both structured and unstructured data. Centralized monitoring and governance features provide a unified dashboard for tracking pipeline performance, managing access controls, and ensuring auditability across all integration and automation activities. The SnapLogic Platform addresses common challenges organizations face when scaling their technology operations: fragmented data across disconnected systems, high integration development costs, and the complexity of deploying AI in regulated or mission-critical environments. By providing a unified platform for both traditional integration and agentic automation, it reduces reliance on custom-coded connectors and enables teams to build and manage integrations without requiring deep software engineering expertise.

Average Rating: 4.4/5.0

Total Reviews: 380

How Do G2 Users Rate SnapLogic Agentic Integration and Applied AI Platform?

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

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

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

Who Uses This Product?

  • Who Uses This: Data Engineer, Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 46% Large, 36% Medium

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

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of SnapLogic IIP, enabling quick connections and streamlined workflows without extensive coding.
  • Users highly value the easy integrations offered by SnapLogic, making complex data management tasks simple and efficient.
  • Users appreciate the easy integration capability of SnapLogic, enabling seamless connections between various tools and systems.
  • Users appreciate the intuitive user interface of SnapLogic IIP, enabling easy and efficient complex integrations.
  • Users value the automation capabilities of SnapLogic IIP, streamlining complex integrations and enhancing workflow efficiency.
Cons
  • Users face performance issues with slow loading and frequent memory problems when handling large datasets in SnapLogic.
  • Users find technical difficulties with SnapLogic, including complex transformations, debugging challenges, and performance issues.
  • Users experience poor performance when processing large workloads, leading to frustration and inefficiency during integration tasks.
  • Users find the debugging complexity challenging, leading to confusion and impacting their overall experience with SnapLogic IIP.
  • Users find that error reporting lacks detail, making troubleshooting a time-consuming and confusing process.

What Are Recent G2 Reviews of SnapLogic Agentic Integration and Applied AI Platform?

What Are G2 Users Discussing About SnapLogic Agentic Integration and Applied AI Platform?

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: 121

How Do G2 Users Rate Maia?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Maia?

  • Seller: Matillion
  • Company Website:
  • Year Founded: 2011
  • HQ Location: Salford, GB
  • Twitter: @matillion
    7,362 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    463 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 appreciate the ease of use of Maia, making configuration and understanding features accessible for all users.
  • Users value the seamless automation of Matillion, enhancing efficiency and simplifying the ETL process effortlessly.
  • Users find Matillion’s intuitive interface simplifies complex tasks, making it accessible and efficient for all users.
  • Users appreciate the simple and user-friendly interface of Matillion, making ETL processes effortless for everyone.
  • Users appreciate Matillion's intuitive interface that simplifies complex tasks and enhances user comfort for all experience levels.
Cons
  • Users face feature limitations in Maia, impacting job performance and complicating template reusability efforts.
  • Users face performance issues with Jython and single-thread limitations, while cloud features are lacking compared to the server version.
  • Users express concern over cloud dependency, facing challenges with limited customization and additional costs at scale.
  • Users find Maia to be expensive, especially as data volume increases and costs can accumulate quickly.
  • Users report API limitations in Maia, particularly lacking administrative access features and raw data export options.

What Are Recent G2 Reviews of Maia?

What Are G2 Users Discussing About Maia?

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind ILUM?

  • Seller: Ilum
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Santa Fe, US
  • Twitter: @IlumCloud
    19 Twitter followers
  • 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 praise ILUM for its ease of use, with a clean UI and quick deployment enhancing productivity and workflow.
  • Users praise ILUM for its seamless integration, user-friendly interface, and excellent customer support, streamlining data management effectively.
  • Users value the seamless integrations of ILUM, enhancing productivity by connecting various systems and streamlining workflows.
  • Users love the ease of setup with ILUM, noting quick deployments and user-friendly interfaces that enhance productivity.
  • Users value the easy integrations of ILUM, enhancing their data workflows and simplifying complex processes effortlessly.
Cons
  • Users note that the complex setup of ILUM can be challenging, requiring time and effort to configure properly.
  • Users note the difficult setup of ILUM, requiring experimentation and digging for advanced configurations and integrations.
  • Users note the steep learning curve for new users, though intuitive daily use improves after initial setup.
  • Users note that the UX could be improved with more intuitive navigation and clearer configuration options.
  • Users find ILUM's complexity in advanced configurations may require time and effort to fully navigate and optimize.

What Are Recent G2 Reviews of ILUM?

Cloudera

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

Average Rating: 4.2/5.0

Total Reviews: 189

How Do G2 Users Rate Cloudera?

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

Who Is the Company Behind Cloudera?

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

Who Uses This Product?

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

What Do G2 Reviewers Say About Cloudera?

AI-generated summary from verified user reviews

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

What Are Recent G2 Reviews of Cloudera?

What Are G2 Users Discussing About Cloudera?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated