Best Enterprise Big Data Integration Platforms - Page 2

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)

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: 384

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: 9.0/10)
  • 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: 8.5/10)

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

  • Seller: SnapLogic
  • Company Website:
  • Year Founded: 2006
  • HQ Location: San Mateo, CA
  • LinkedIn® Page: www.linkedin.com
    301 employees on LinkedIn®
  • Phone: (888) 494-1570

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 value the easy-to-use interface of SnapLogic, simplifying integration and enhancing productivity with a simple drag-and-drop feature.
  • Users value the easy integrations of SnapLogic, appreciating its user-friendly interface and wide variety of connections.
  • Users value the user-friendly integrations with SnapLogic, enjoying the simplicity of building and managing pipelines.
  • Users appreciate the user-friendly interface of SnapLogic, making integration tasks smooth and efficient.
  • Users value the automation capabilities of SnapLogic, enabling fast and efficient pipeline creation and management.
Cons
  • Users experience performance issues with the platform, facing errors and unexpected failures during heavy workloads.
  • Users experience poor performance with SnapLogic, facing slow loading and frequent breakdowns during heavy workloads.
  • Users experience technical difficulties including debugging issues and performance drops during heavy workloads, affecting usability.
  • Users report frequent complexity issues with SnapLogic, including slow loading, messy transformations, and challenging debugging processes.
  • Users experience frequent error reporting issues that hinder troubleshooting, causing unexpected pipeline failures and confusion.

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?

Coefficient

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.

Average Rating: 4.7/5.0

Total Reviews: 206

How Do G2 Users Rate Coefficient?

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

Who Is the Company Behind Coefficient?

  • Seller: Coefficient
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Palo Alto, CA
  • LinkedIn® Page: www.linkedin.com
    70 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Medium, 35% Small

What Do G2 Reviewers Say About Coefficient?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coefficient, enjoying seamless data extraction and hassle-free synchronization across tools.
  • Users value the automation capabilities of Coefficient, making data management effortless and efficient.
  • Users appreciate the seamless integrations of Coefficient, enabling effortless data flow between systems like Salesforce and QuickBooks.
  • Users value the time-saving automation of Coefficient, reclaiming hours in their weekly reporting tasks.
  • Users find easy integrations with Coefficient seamless, enhancing productivity and simplifying their data workflow considerably.
Cons
  • Users find the limited filtering options in Coefficient restrictive and detrimental to their data analysis experience.
  • Users find the feature limitations of Coefficient frustrating, particularly with filtering and integration challenges.
  • Users find the limit of Google Sheets for multiple filters and imports restricts their data management capabilities.
  • Users find the missing features in Coefficient limiting, especially with filters and integrating charts from SFDC.
  • Users face integration issues with Coefficient, leading to frustrating limitations when connecting to other tools and systems.

What Are Recent G2 Reviews of Coefficient?

Control-M

Control-M from BMC Software is a digital operations orchestration platform designed to help organizations connect applications, data pipelines, and infrastructure processes within a unified ecosystem. This solution is specifically tailored to manage complex hybrid environments, providing a robust framework for designing, automating, and governing workflows that span both on-premises and cloud technologies. By simplifying the management of operational dependencies, Control-M enables IT and business teams to maintain resilience, compliance, and efficiency at scale. The platform is particularly beneficial for organizations that require continuous operations, as it fosters collaboration among development, data, and operations teams through a shared environment. This collaborative approach enhances transparency and significantly reduces manual effort, allowing teams to focus on strategic initiatives rather than routine tasks. Control-M's orchestration capabilities facilitate the coordination of workloads across traditional systems, modern cloud applications, and emerging data technologies, ensuring that all components work seamlessly together. Centralized visibility and control empower teams to identify potential disruptions early, thereby ensuring smooth end-to-end process execution. Control-M incorporates predictive analytics and event-driven automation, which are essential for anticipating performance issues and adapting to changing business or system conditions. This proactive stance allows operations teams to maintain service levels and accelerate incident resolution without the burden of constant manual oversight. Furthermore, the platform's integration with DevOps and DataOps workflows ensures that automation efforts align with organizational goals, thereby supporting both innovation and governance. Industries such as finance, healthcare, manufacturing, and telecommunications widely utilize Control-M, where reliability, compliance, and operational continuity are paramount. By connecting people, systems, and data, Control-M transforms fragmented operational environments into cohesive, data-driven systems of execution. With BMC’s extensive expertise in intelligent automation, Control-M empowers enterprises to reduce complexity, enhance agility, and continuously deliver business value in an ever-evolving digital landscape. The platform stands out by providing a comprehensive solution that not only addresses current operational challenges but also prepares organizations for future demands.

Average Rating: 4.3/5.0

Total Reviews: 217

How Do G2 Users Rate Control-M?

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

Who Is the Company Behind Control-M?

  • Seller: BMC Software
  • Company Website:
  • Year Founded: 1980
  • HQ Location: Houston, TX
  • LinkedIn® Page: www.linkedin.com
    8,646 employees on LinkedIn®
  • Phone: 713 918 8800

Who Uses This Product?

  • Who Uses This: Data Engineer, System Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Large, 21% Small

What Do G2 Reviewers Say About Control-M?

AI-generated summary from verified user reviews

Pros
  • Users find Control-M's ease of use invaluable for managing workflows across diverse environments with streamlined monitoring.
  • Users value the automation capabilities of Control-M, appreciating its seamless job scheduling and centralized monitoring features.
  • Users highly value the centralized workload management of Control-M, facilitating seamless integration and smooth operations across environments.
  • Users value the time-saving capabilities of Control-M, streamlining complex workflows and enhancing operational efficiency.
  • Users value the centralized workload management of Control-M, enhancing efficiency across diverse environments and systems.
Cons
  • Users find the complexity of Control-M challenging, particularly during initial setup and for new users learning the system.
  • Users find the learning curve steep, making initial setup and usability challenging for new users.
  • Users find the user interface complex and outdated, making navigation difficult for new teams and users.
  • Users find the difficult learning curve of Control-M challenging, especially due to complex setup and confusing UI.
  • Users consistently highlight the high costs of Control-M, which can be a significant barrier for smaller organizations.

What Are Recent G2 Reviews of Control-M?

What Are G2 Users Discussing About Control-M?

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Adverity

Adverity is the marketing data intelligence company seen as the foundation that makes enterprise marketing AI work. Adverity Connect is an enterprise-grade marketing ETL. It pulls data from 600+ sources, harmonizes it so metrics are comparable across platforms, monitors it continuously for quality, and delivers it into the customer's warehouse. The data foundation for marketing. Adverity Atlas is a marketing knowledge layer. It sits on top of any data warehouse and gives AI the knowledge and context to work accurately on marketing data. Use it through the UI and it works as an autonomous marketing analyst. Connect it to your own AI program and it becomes the knowledge layer your agents run on. Connect builds the data foundation. Adverity Atlas is the knowledge layer that makes marketing AI work. Built from a decade of enterprise brand and agency deployments representing over $80 billion in managed ad spend.

Average Rating: 4.4/5.0

Total Reviews: 321

How Do G2 Users Rate Adverity?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.0/10)
  • Quality of Support: 8.8/10 (Category avg: 8.9/10)
  • Ease of Use: 8.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Adverity?

  • Seller: Adverity GmbH
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Vienna, Austria
  • LinkedIn® Page: www.linkedin.com
    332 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Engineer
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 44% Medium, 37% Small

What Do G2 Reviewers Say About Adverity?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Adverity, benefiting from a simple interface and responsive support.
  • Users value the easy integration and intuitive data management in Adverity, enhancing their workflow and efficiency.
  • Users value the easy integration capabilities of Adverity, streamlining data workflows across various platforms effortlessly.
  • Users value the easy integrations of Adverity, which enhance efficiency and streamline data management across platforms.
  • Users commend the responsive customer support of Adverity, ensuring timely assistance and effective solutions during setup and beyond.
Cons
  • Users find Adverity to be time-consuming due to slow pipeline creation and unclear error messages, complicating their workflows.
  • Users encounter challenges with data management, experiencing unclear error messages and complexities in administrative tasks.
  • Users experience a lack of information due to unclear error messages and insufficient ticket follow-up, causing frustration.
  • Users experience time delays in data pipeline processes, impacting efficiency and confidence in scalability and reporting.
  • Users find the difficult learning curve of Adverity hampers effective use, especially for advanced features and setup.

What Are Recent G2 Reviews of Adverity?

What Are G2 Users Discussing About Adverity?

Elastic Stack

The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data.

Average Rating: 4.5/5.0

Total Reviews: 106

How Do G2 Users Rate Elastic Stack?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.0/10)
  • Quality of Support: 8.2/10 (Category avg: 8.9/10)
  • Ease of Use: 8.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 7.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Elastic Stack?

  • Seller: Elastic
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    10,457 employees on LinkedIn®
  • Ownership: NYSE: ESTC

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 46% Medium, 35% Large

What Do G2 Reviewers Say About Elastic Stack?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Elastic Stack, simplifying real-time monitoring and analysis across diverse systems.
  • Users appreciate the flexibility of Elastic Stack, enabling customization and integration with various tools and formats.
  • Users value the unified log management of Elastic Stack, enabling quick issue correlation and comprehensive system insights.
  • Users appreciate the search efficiency of Elastic Stack, enabling quick issue correlation and insightful system behavior analysis.
  • Users appreciate the versatility of Elastic Stack, allowing seamless integration and customization across various deployment models and data types.
Cons
  • Users find that resource management challenges in Elastic Stack require extensive expertise and ongoing attention to maintain performance.
  • Users find the complexity issues of Elastic Stack challenging, requiring expertise for optimal management and performance.
  • Users find the Elastic Stack to be expensive at scale, especially due to high resource and licensing costs.
  • Users report that Elastic Stack's high memory usage can lead to increased costs and requires extensive resources at scale.
  • Users find the learning curve steep for Elastic Stack, requiring significant expertise for optimal performance and management.

What Are Recent G2 Reviews of Elastic Stack?

What Are G2 Users Discussing About Elastic Stack?

Riva

Riva captures and connects trusted client context from emails, calendars, meetings, and voice notes to the CRM. It brings that context and AI into the systems where client-facing teams work, helping them use the full relationship story without disrupting established workflows. For regulated, relationship-driven enterprises, Riva combines governed activity capture, meeting intelligence, and embedded access to client-owned agents to reduce manual work and improve user adoption, client engagement, and operational. With Riva, teams improve performance without compromising the data quality, governance, and continuity that regulated enterprises require. With over 15 years of experience serving teams in complex regulated environments, Riva supports more than 650 enterprises and fast-growing companies. Contact us if you're looking to capture, connect, and put trusted client context to work across your CRM, AI, and engagement workflows. https://rivaengine.com/

Average Rating: 4.1/5.0

Total Reviews: 106

How Do G2 Users Rate Riva?

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

Who Uses This Product?

  • Top Industries: Financial Services, Banking
  • Company Size: 41% Medium, 31% Small

What Do G2 Reviewers Say About Riva?

AI-generated summary from verified user reviews

Pros
  • Users value the high accuracy in data processing and evaluation, enhancing their workflow and error management.
  • Users appreciate the time-saving automation of Riva, enhancing productivity and streamlining workflows effortlessly.
  • Users appreciate the automation capabilities of Riva, which streamline workflows and enhance productivity significantly.
  • Users appreciate the seamless CRM integration of Riva, enhancing productivity through reliable data synchronization.
  • Users commend Riva's expert customer support, noting its responsiveness and high level of expertise throughout their experience.
Cons
  • Users find the automatic integration frustrating, as it limits manual control when necessary for tasks.
  • Users express frustration with AI limitations in Riva, as it hinders manual control when necessary.
  • Users express frustration with the automation difficulty of Riva, finding it challenging to perform tasks manually when needed.
  • Users dislike the automation issues causing difficulties when manual intervention is required.
  • Users find the installation process complicated, often requiring additional support to complete successfully.

What Are Recent G2 Reviews of Riva?

What Are G2 Users Discussing About Riva?

Apache Sqoop

Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.

Average Rating: 4.3/5.0

Total Reviews: 29

How Do G2 Users Rate Apache Sqoop?

  • Has the product been a good partner in doing business?: 8.1/10 (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: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Apache Sqoop?

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 55% Large, 23% Medium

What Are Recent G2 Reviews of Apache Sqoop?

What Are G2 Users Discussing About Apache Sqoop?

IBM DataStage

IBM® InfoSphere® DataStage® is a leading ETL platform that integrates data across multiple enterprise systems. It leverages a high performance parallel framework, available on-premises or in the cloud. The scalable platform provides extended metadata management and enterprise connectivity. It integrates heterogeneous data, including big data at rest (Hadoop-based) or big data in motion (stream-based), on both distributed and mainframe platforms. It supports IBM Db2® Z and Db2 for z/OS®, applies workload and business rules, and integrates real-time data in an easy to deploy, scalable platform. Learn More: https://ibm.co/2NpHEtZ

Average Rating: 4.0/5.0

Total Reviews: 62

How Do G2 Users Rate IBM DataStage?

  • Has the product been a good partner in doing business?: 7.7/10 (Category avg: 9.0/10)
  • Quality of Support: 7.7/10 (Category avg: 8.9/10)
  • Ease of Use: 7.9/10 (Category avg: 8.9/10)
  • Ease of Admin: 7.1/10 (Category avg: 8.5/10)

Who Is the Company Behind IBM DataStage?

  • 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?

  • Top Industries: Banking, Information Technology and Services
  • Company Size: 77% Large, 15% Medium

What Do G2 Reviewers Say About IBM DataStage?

AI-generated summary from verified user reviews

Pros
  • Users value the customization options in DataStage, allowing tailored solutions for both standard and complex data needs.
  • Users value the high-performance data pipelining of DataStage, enabling efficient processing of large enterprise data volumes.
  • Users praise the high-performance parallel processing of IBM DataStage, allowing efficient handling of massive data volumes.
  • Users value the ease of use of IBM DataStage, thanks to its intuitive drag-and-drop interface and visual design.
  • Users appreciate the high-performance parallel processing of IBM DataStage, enabling efficient handling of massive data volumes.
Cons
  • Users often face complex processes in IBM DataStage, creating a steep learning curve and challenges in adapting to its environment.
  • Users face significant dependency issues with IBM DataStage, struggling with vendor lock-in and complex migration processes.
  • Users are concerned about the expensive costs and complex licensing model of IBM DataStage, limiting accessibility for many businesses.
  • Users report a significant lack of real-time data capabilities in IBM DataStage, hindering agile data operations and modern needs.
  • Users face a steep learning curve with IBM DataStage due to its complex interfaces and technical requirements.

What Are Recent G2 Reviews of IBM DataStage?

What Are G2 Users Discussing About IBM DataStage?

Apache NiFi

Apache NiFi is an open-source data integration platform designed to automate the flow of information between systems. It enables users to design, manage, and monitor data flows through an intuitive, web-based interface, facilitating real-time data ingestion, transformation, and routing without extensive coding. Originally developed by the National Security Agency (NSA) as "NiagaraFiles," NiFi was released to the open-source community in 2014 and has since become a top-level project under the Apache Software Foundation. Key Features and Functionality: - Intuitive Graphical Interface: NiFi offers a drag-and-drop web interface that simplifies the creation and management of data flows, allowing users to configure processors and monitor data streams visually. - Real-Time Processing: Supports both streaming and batch data processing, enabling the handling of diverse data sources and formats in real-time. - Extensive Processor Library: Provides over 300 built-in processors for tasks such as data ingestion, transformation, routing, and delivery, facilitating integration with various systems and protocols. - Data Provenance Tracking: Maintains detailed lineage information for every piece of data, allowing users to track its origin, transformations, and routing decisions, which is essential for auditing and compliance. - Scalability and Clustering: Supports clustering for high availability and scalability, enabling distributed data processing across multiple nodes. - Security Features: Incorporates robust security measures, including SSL/TLS encryption, authentication, and fine-grained access control, ensuring secure data transmission and access. Primary Value and Problem Solving: Apache NiFi addresses the complexities of data flow automation by providing a user-friendly platform that reduces the need for custom coding, thereby accelerating development cycles. Its real-time processing capabilities and extensive processor library allow organizations to integrate disparate systems efficiently, ensuring seamless data movement and transformation. The comprehensive data provenance tracking enhances transparency and compliance, while its scalability and security features make it suitable for enterprise-level deployments. By simplifying data flow management, NiFi enables organizations to focus on deriving insights and value from their data rather than dealing with the intricacies of data integration.

Average Rating: 4.2/5.0

Total Reviews: 26

How Do G2 Users Rate Apache NiFi?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.0/10)
  • Quality of Support: 7.4/10 (Category avg: 8.9/10)
  • Ease of Use: 8.3/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Apache NiFi?

Who Uses This Product?

  • Company Size: 46% Large, 31% Medium

What Are Recent G2 Reviews of Apache NiFi?

Qlik Replicate

Qlik Replicate (formerly Attunity Replicate) empowers organizations to accelerate data replication, ingestion and streaming across a wide variety of heterogeneous databases, data warehouses, and big data platforms. Used by hundreds of enterprises worldwide, Qlik Replicate moves your data easily, securely, and efficiently with minimal operational impact. Qlik Replicate provides automated, real-time, and universal data integration across all major source endpoints such as databases, systems like SAP, mainframes and Salesforce and delivers data to streaming systems, data warehouses, and data lakes. On-premises and in the cloud. Qlik Replicate is different and Enterprise-Ready. It moves data at high speed from source to target, simply and easily, and offers a single pane of glass monitoring of your data pipelines across the enterprise, all managed through a graphical interface that completely automates end-to-end replication. With our streamlined and agentless configuration, your administrators and data architects can quickly set up, control, and monitor bulk loads and real-time updates with automated change data capture (CDC) at scale.

Average Rating: 4.3/5.0

Total Reviews: 94

How Do G2 Users Rate Qlik Replicate?

  • Has the product been a good partner in doing business?: 8.3/10 (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: 8.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Qlik Replicate?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • LinkedIn® Page: www.linkedin.com
    4,399 employees on LinkedIn®
  • Phone: 1 (888) 994-9854

Who Uses This Product?

  • Top Industries: Information Technology and Services, Banking
  • Company Size: 42% Large, 35% Medium

What Do G2 Reviewers Say About Qlik Replicate?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the robust functionality and user-friendly interface of Qlik Replicate, enhancing data replication efficiency and simplicity.
  • Users value the wide database support of Qlik Replicate, enhancing data import efficiency and consistency.
  • Users value the easy integrations of Qlik Replicate, enabling seamless connectivity across diverse systems and platforms.
  • Users appreciate the scalability of Qlik Replicate, allowing effortless replication of millions of data efficiently.
  • Users highlight the automation capabilities of Qlik Replicate, making it a top choice for data management.
Cons
  • Users find the complex setup of Qlik Replicate time-consuming, requiring significant effort to learn and configure.
  • Users find the learning difficulty of Qlik Replicate challenging due to its complex configuration and setup requirements.
  • Users find the difficult setup of Qlik Replicate time-consuming due to its extensive system and environment requirements.
  • Users find Qlik Replicate to be expensive, noting high costs and time-consuming setup and learning processes.
  • Users note that the data security of Qlik Replicate lacks advancement and needs improvements for better protection.

What Are Recent G2 Reviews of Qlik Replicate?

What Are G2 Users Discussing About Qlik Replicate?

Progress MarkLogic

Progress MarkLogic is an enterprise-grade multi-model data management platform that unlocks value from complex data. It works with the full breadth of a company's information and makes it easily discoverable and ready to power high-value applications, decision intelligence and trustworthy AI. Organizations leverage integrated capabilities to integrate, harmonize, search and visualize multi-model data to build a connected data ecosystem as the secure and scalable foundation for the AI era.

Average Rating: 4.3/5.0

Total Reviews: 65

How Do G2 Users Rate Progress MarkLogic?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 9.0/10)
  • Quality of Support: 8.2/10 (Category avg: 8.9/10)
  • Ease of Use: 8.1/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Progress MarkLogic?

  • Seller: Progress Software
  • Company Website:
  • Year Founded: 1981
  • HQ Location: Burlington, MA.
  • LinkedIn® Page: www.linkedin.com
    4,242 employees on LinkedIn®
  • Ownership: NASDAQ:PRGS

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 53% Large, 24% Small

What Are Recent G2 Reviews of Progress MarkLogic?

What Are G2 Users Discussing About Progress MarkLogic?

SAS Data Management

SAS Data Management is a comprehensive solution designed to transform raw data into a valuable business asset by improving, integrating, managing, and governing data across an organization. It enables users to access data from various sources, create rules, collaborate with teams, and manage metadata, thereby preparing data for analytics and informed decision-making. Key Features and Functionality: - Data Access and Integration: Seamlessly access data from diverse sources, including legacy systems and modern platforms like Hadoop, ensuring comprehensive data integration. - Data Quality and Cleansing: Utilize embedded tools to automatically identify and rectify data quality issues, reducing errors and inconsistencies. - Data Preparation: Prepare data for analytics and reporting in a self-service environment without the need for coding or IT assistance, enhancing productivity. - Data Governance: Implement consistent policies and processes to ensure data conforms to established standards and regulatory requirements. - Personal Data Protection: Identify and monitor personal data sources to comply with privacy regulations such as GDPR. - Data Federation and Stewardship: Simplify data integration complexities with a virtual data environment that delivers a complete data picture in a user-friendly format. Primary Value and Solutions Provided: SAS Data Management addresses the critical need for organizations to manage their data effectively, turning it into a strategic asset. By providing a unified platform for data access, integration, quality, governance, and master data management, it eliminates the need for multiple, overlapping tools. This consolidation leads to improved data accuracy, streamlined operations, and enhanced decision-making capabilities. Organizations can ensure that all internal and third-party data remains clean and well-managed, facilitating compliance with regulatory standards and enabling more efficient and effective business processes.

Average Rating: 4.1/5.0

Total Reviews: 97

How Do G2 Users Rate SAS Data Management?

  • Has the product been a good partner in doing business?: 8.1/10 (Category avg: 9.0/10)
  • Quality of Support: 7.9/10 (Category avg: 8.9/10)
  • Ease of Use: 7.3/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind SAS Data Management?

  • Seller: SAS Institute
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Top Industries: Higher Education, Research
  • Company Size: 51% Large, 26% Small

What Do G2 Reviewers Say About SAS Data Management?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of SAS Data Management, appreciating its user-friendly interface and automation capabilities.
  • Users value the analytics capabilities of SAS Data Management, facilitating data preparation and insightful analysis seamlessly.
  • Users appreciate the robust tools for data cleaning offered by SAS Data Management, ensuring high data accuracy and consistency.
  • Users value the robust tools for cleaning and standardizing data in SAS Data Management, ensuring accuracy and consistency.
  • Users value the strong SAS language capabilities for transforming data efficiently and ensuring accuracy in management processes.
Cons
  • Users find the high cost of SAS Data Management makes it inaccessible and strains system resources.
  • Users find the interface not user-friendly, leading to difficulties in navigation and overall usability.
  • Users report that slow performance with large datasets significantly disrupts workflow and affects overall user experience.
  • Users find that extensive training is required for effective use of SAS Data Management, especially for beginners.
  • Users find the complexity of SAS Data Management challenging, requiring advanced statistical knowledge for effective use.

What Are Recent G2 Reviews of SAS Data Management?

What Are G2 Users Discussing About SAS Data Management?

Qubole

Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data workload flexibility of Qubole while radically accelerating data lake adoption, reducing time to value, and lowering cloud data lake costs by 50 percent. Qubole’s Platform provides end-to-end data lake services such as cloud infrastructure management, data management, continuous data engineering, analytics, and machine learning with near-zero administration. Qubole is trusted by leading brands such as Expedia, Disney, Oracle, Gannett and Adobe to spur innovation and to transform their businesses for the era of big data. For more information, visit us at www.qubole.com.

Average Rating: 4.0/5.0

Total Reviews: 237

How Do G2 Users Rate Qubole?

  • Has the product been a good partner in doing business?: 8.1/10 (Category avg: 9.0/10)
  • Quality of Support: 7.9/10 (Category avg: 8.9/10)
  • Ease of Use: 7.8/10 (Category avg: 8.9/10)
  • Ease of Admin: 7.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Qubole?

  • Seller: Qubole
  • Year Founded: 2011
  • HQ Location: Santa Clara, CA
  • LinkedIn® Page: www.linkedin.com
    23 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Data Scientist
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 51% Large, 44% Medium

What Are Recent G2 Reviews of Qubole?

What Are G2 Users Discussing About Qubole?

Integrate.io

Integrate.io is a low-code data pipeline platform specializing in Operational ETL so companies can automate business processes and manual data preparation. Its four core use cases focus on: 1) File data preparation and B2B data sharing 2) Preparing and loading data to CRMs and ERPs such as Salesforce, NetSuite, and HubSpot 3) Powering data products with real-time database replication 4) Transforming and centralizing data to data warehouse for analytics 5) Integrate.io MCP Server connects Claude, ChatGPT, Cursor or any MCP client to your Integrate.io ETL and Reverse ETL account, so you can manage data pipelines by describing what you want.

Average Rating: 4.4/5.0

Total Reviews: 212

How Do G2 Users Rate Integrate.io?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 9.0/10)
  • Quality of Support: 9.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Integrate.io?

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 51% Medium, 32% Small

What Do G2 Reviewers Say About Integrate.io?

AI-generated summary from verified user reviews

Pros
  • Users find Integrate.io to be incredibly easy to use, enabling quick setup and seamless data integration.
  • Users appreciate the exceptional customer support of Integrate.io, highlighting the team's helpfulness and genuine knowledge.
  • Users value the easy integrations of Integrate.io, which simplifies data management for non-technical teams.
  • Users value the intuitive interface and extensive connector library of Integrate.io, simplifying complex data integration tasks.
  • Users value the automation capabilities of Integrate.io, enabling seamless data transfers and efficient workflow management.
Cons
  • Users face a notable learning difficulty with complex transformations, requiring time and effort to navigate effectively.
  • Users find poor documentation challenging, particularly with APIs and complex transformations, hindering effective usage.
  • Users note limited integrations with Integrate.io, affecting ease of setup and overall functionality for complex projects.
  • Users struggle with inadequate API documentation, hindering effective integration and development efforts.
  • Users note the lack of detailed API documentation, which hinders effective integration and custom workflow development.

What Are Recent G2 Reviews of Integrate.io?

What Are G2 Users Discussing About Integrate.io?

Peregrine Connect

Peregrine Connect is one of the leading integration platforms that enables businesses to simplify the design, deployment, hosting, management of applications, APIs, and workflows. The platform secures the most critical integrations and business processes with actionable visibility, pinpoint diagnostics, alerting and unified control across your entire organization. Peregrine Connect enables your Microsoft .NET Core resources to be reused and extended to further simplify the integration of applications and the automation of critical business functions. The Peregrine Connect product portfolio encompasses Neuron ESB, FlightPath Data Mapper Management Suite, Design Studio, and NetSuite PSA Add-In for Microsoft Project. Peregrine Connect offers an innovative set of connectors for popular enterprise applications. It provides robust data integration features and a simple yet flexible UI to design & execute integrations for organizations of all sizes. Customers benefit from a superior development experience, better performance, reduced complexity, and immediate time-to-value. Peregrine Connect customers deploy projects in a matter of weeks rather than months with clients around the globe in a variety of industries. To learn more, visit http://www.peregrineconnect.com

Average Rating: 4.4/5.0

Total Reviews: 91

How Do G2 Users Rate Peregrine Connect?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.0/10)
  • Quality of Support: 8.4/10 (Category avg: 8.9/10)
  • Ease of Use: 8.5/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Peregrine Connect?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Large, 35% Medium

What Are Recent G2 Reviews of Peregrine Connect?

What Are G2 Users Discussing About Peregrine Connect?

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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