Best Enterprise Big Data Integration Platforms - Page 2

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)

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: 202

How Do G2 Users Rate Coefficient?

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

Who Is the Company Behind Coefficient?

  • Seller: Coefficient
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Palo Alto, CA
  • Twitter: @coefficient_io
    346 Twitter followers
  • 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, 36% 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: 193

How Do G2 Users Rate Control-M?

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

Who Is the Company Behind Control-M?

  • Seller: BMC Software
  • Company Website:
  • Year Founded: 1980
  • HQ Location: Houston, TX
  • Twitter: @BMCSoftware
    47,946 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    8,646 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 46% Large, 19% Medium

What Do G2 Reviewers Say About Control-M?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in Control-M, appreciating its good GUIs and efficient scheduling methods.
  • Users value the automation in Control-M, enhancing workflow reliability and reducing manual efforts across operations.
  • Users admire Control-M's reliability and centralized job management, enhancing workflow efficiency and confidence in timely task execution.
  • Users value time-saving automation in Control-M, simplifying workflow management and reducing the need for manual coordination.
  • Users value the task automation capabilities of Control-M, enhancing efficiency through seamless scheduling and orchestration.
Cons
  • Users find the UI complexity challenging, compounded by a steep learning curve and inconsistencies between the client and web versions.
  • Users face a significant learning curve when using Control-M, making it challenging for new users to adapt.
  • Users find the UI complexity challenging, which can hinder the onboarding process for new users.
  • Users find the steep learning curve of Control-M daunting, making initial use more challenging and time-consuming.
  • Users find the licensing costs high, making Control-M less accessible for smaller teams and organizations.

What Are Recent G2 Reviews of Control-M?

What Are G2 Users Discussing About Control-M?

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: 104

How Do G2 Users Rate Elastic Stack?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Elastic Stack?

  • Seller: Elastic
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • Twitter: @elastic
    65,200 Twitter followers
  • 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: Computer Software, Information Technology and Services
  • Company Size: 47% Medium, 34% Large

What Do G2 Reviewers Say About Elastic Stack?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Elastic Stack, enabling quick correlation and understanding of system behavior.
  • Users value the flexibility of Elastic Stack for its customization, integration, and deployment options across various environments.
  • Users appreciate the unified log management that allows for quicker issue correlation and comprehensive system understanding.
  • Users praise the fast and scalable real-time search of Elastic Stack, enhancing their ability to analyze data efficiently.
  • Users value the versatility of Elastic Stack, seamlessly integrating various tools for flexible data management and visualization.
Cons
  • Users note the resource management challenges in Elastic Stack, requiring expertise to maintain performance and stability.
  • Users find the complexity issues of Elastic Stack demanding, requiring significant expertise to manage effectively and maintain performance.
  • Users find the cost of resources for Elastic Stack to be significant, especially at scale and for advanced features.
  • Users find that High Memory Usage in Elastic Stack can lead to increased costs and management complexities at scale.
  • Users find the steep learning curve of Elastic Stack challenging, requiring significant experience for effective management and optimization.

What Are Recent G2 Reviews of Elastic Stack?

What Are G2 Users Discussing About Elastic Stack?

Riva

Empowering Trusted Relationships in Financial Services Riva is the trusted partner for organizations seeking to build stronger client relationships while streamlining operations. Our innovative solutions empower advisors to deliver personalized, compliant experiences at scale. With seamless CRM integration, real-time client insights, and advanced data governance, Riva ensures every interaction counts. Serving financial services and other data-sensitive industries for over 15 years, we help businesses safeguard their clients, nurture lifelong relationships, and reclaim valuable time. Join the 650+ enterprises worldwide who trust Riva to transform how they engage with their customers. 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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Riva?

  • Seller: Omni Technology Solutions
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Edmonton, Alberta
  • Twitter: @crm_integration
    6 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    135 employees on LinkedIn®

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: 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: 9.2/10 (Category avg: 8.6/10)

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?

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: 316

How Do G2 Users Rate Adverity?

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

Who Is the Company Behind Adverity?

  • Seller: Adverity GmbH
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Vienna, Austria
  • Twitter: @myadverity
    1,757 Twitter followers
  • 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, 38% Small

What Do G2 Reviewers Say About Adverity?

AI-generated summary from verified user reviews

Pros
  • Users find Adverity's platform to be incredibly easy to use, enhancing data integration and minimizing management headaches.
  • Users appreciate the easy centralization and standardization of data, enhancing marketing and business insights effectively.
  • Users value the extensive integrations of Adverity, enabling seamless connection to various data sources and tools.
  • Users value the easy integrations in Adverity, streamlining data centralization from various sources effortlessly.
  • Users commend the responsive customer support of Adverity, ensuring timely assistance and effective solutions during setup and beyond.
Cons
  • Users experience time-consuming processes with Adverity, particularly when dealing with large-scale data pipelines and automation delays.
  • Users experience data management issues with unrecoverable mistakes and difficulty in tracking changes, impacting usability.
  • 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 warn of a difficult learning curve with Adverity, requiring more support for effective use of its features.

What Are Recent G2 Reviews of Adverity?

What Are G2 Users Discussing About Adverity?

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind IBM DataStage?

  • 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?

  • 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 flexibility of IBM DataStage, allowing integration of custom scripts to meet specific needs.
  • Users appreciate the high-performance data pipelining of DataStage, enabling efficient processing of massive data volumes seamlessly.
  • Users value the high-performance parallel processing engine of IBM DataStage, enabling efficient handling of massive data volumes.
  • Users value the ease of use of IBM DataStage, appreciating its intuitive interface for complex data tasks.
  • Users highlight the high-performance parallel processing of IBM DataStage, enabling efficient handling of massive data volumes.
Cons
  • Users criticize the complex processes in IBM DataStage, finding the steep learning curve frustrating for new team members.
  • Users often struggle with dependency issues due to IBM DataStage's complex licensing and vendor lock-in, making integration challenging.
  • Users highlight the expensive costs and complex licensing of IBM DataStage, making it hard for smaller businesses to adopt.
  • Users find a lack of real-time data in IBM DataStage, limiting its agility for modern DataOps needs.
  • Users find the steep learning curve of IBM DataStage challenging, especially for new hires with its complex settings.

What Are Recent G2 Reviews of IBM DataStage?

What Are G2 Users Discussing About IBM DataStage?

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: 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: 8.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Qlik Replicate?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • Twitter: @qlik
    64,130 Twitter followers
  • 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?

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: 8.9/10)
  • 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: 8.6/10)

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?

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Progress MarkLogic?

  • Seller: Progress Software
  • Company Website:
  • Year Founded: 1981
  • HQ Location: Burlington, MA.
  • Twitter: @ProgressSW
    48,773 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,242 employees on LinkedIn®

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?

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Qubole?

  • Seller: Qubole
  • Year Founded: 2011
  • HQ Location: Santa Clara, CA
  • Twitter: @qubole
    9,425 Twitter followers
  • 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?

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind SAS Data Management?

  • Seller: SAS Institute Inc.
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • 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 find SAS Data Management easy to use, enjoying its intuitive interface and supportive features for data preparation.
  • Users value the powerful analytics capabilities of SAS Data Management for data preparation and transformation tasks.
  • Users appreciate the robust data cleaning tools in SAS Data Management, ensuring accuracy and consistency in analytics projects.
  • Users value the robust data cleaning and standardization tools of SAS Data Quality, enhancing data accuracy and consistency.
  • Users value the strong data transformation capabilities of SAS Data Management, ensuring efficient and effective data manipulation.
Cons
  • Users find SAS Data Management to be expensive, which may limit access for smaller businesses with budget constraints.
  • Users find the interface difficult and not user-friendly, making navigation challenging for those less experienced with SAS.
  • Users find that the slow performance of SAS Data Management hampers efficiency when dealing with large and complex datasets.
  • Users find that the training required for SAS Data Management can be a barrier for less technical individuals.
  • Users find the complexity of SAS Data Management limits accessibility, requiring advanced statistics knowledge for effective use.

What Are Recent G2 Reviews of SAS Data Management?

What Are G2 Users Discussing About SAS Data Management?

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

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: 8.9/10)
  • 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: 8.6/10)

Who Is the Company Behind Integrate.io?

  • Seller: Integrate.io
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • Twitter: @Integrateio
    4,285 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    26 employees on LinkedIn®

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 appreciate the ease of use of Integrate.io, benefiting from its intuitive interface and fast workflow design.
  • Users praise the exceptional customer support of Integrate.io for its quick responses and knowledgeable assistance.
  • Users value the easy integrations with diverse data sources, simplifying their data workflow and enhancing productivity.
  • Users value the comprehensive connectors and intuitive UI of Integrate.io, enhancing data integration and workflow efficiency.
  • Users value the automation features of Integrate.io, which enhance workflow efficiency and streamline data processes.
Cons
  • Users note a learning difficulty with advanced features, requiring extra documentation and tutorials for effective use.
  • Users feel that poor documentation hinders their ability to fully utilize Integrate.io's features and APIs effectively.
  • Users point out the limited integrations with external sources, hindering seamless connectivity and customization options.
  • Users struggle with poor API documentation, hindering their ability to effectively integrate and utilize the platform's features.
  • Users note the lack of comprehensive API documentation, making integration challenging and limiting development flexibility.

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: 8.9/10)
  • 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: 8.6/10)

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?

Keboola

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

Average Rating: 4.6/5.0

Total Reviews: 138

How Do G2 Users Rate Keboola?

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

Who Is the Company Behind Keboola?

  • Seller: Keboola
  • Year Founded: 2008
  • HQ Location: Prague
  • Twitter: @keboola
    2,004 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    92 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About Keboola?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Keboola, enjoying its intuitive interface and efficient data connection setup.
  • Users appreciate Keboola's wide variety of connectors, intuitive interface, and powerful automation features for data integration.
  • Users value Keboola's wide range of data connections and intuitive interface, enhancing their data management experience.
  • Users value the seamless integrations in Keboola, enhancing data workflows and orchestration with minimal limitations.
  • Users praise Keboola's responsive and helpful customer support, enhancing their overall experience with the platform.
Cons
  • Users struggle with the steep learning curve of Keboola, finding the setup of services and training insufficient.
  • Users find Keboola's interface complex and confusing, especially when managing large projects and navigating components.
  • Users find a steep learning curve with Keboola, especially due to fragmented setups and challenging training materials.
  • Users find data type management complicated, needing more guidance on transformation errors and advanced monitoring capabilities.
  • Users find the UX improvement necessary due to a complicated interface and messy data management with flows.

What Are Recent G2 Reviews of Keboola?

What Are G2 Users Discussing About Keboola?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated