Best ETL Tools - Page 3

How Many ETL Tools Products Does G2 Track?

Total Products under this Category: 290

Category Stats (Nov 2026)

  • Average Rating: 4.55/5 (↓0.01 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: SyntraETL (+1.78%) - Among all products in this category, SyntraETL recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank ETL Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 20,400+ Authentic Reviews
  • 290+ 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 ETL Tools

G2 Grid® for ETL Tools plotting products by satisfaction and market presence

Highlighted products: Databricks, Alteryx, Celigo, Google Cloud BigQuery, Funnel, FME Platform, Fivetran, and Informatica Data Integration and Engineering.

Underlying data: [Grid® JSON](https://www.g2.com/categories/etl-tools/grids.json?focus%5B%5D=databricks&focus%5B%5D=alteryx&focus%5B%5D=celigo&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=funnel&focus%5B%5D=fme-platform&focus%5B%5D=fivetran&focus%5B%5D=informatica-data-integration-and-engineering)

Cloudera

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

Average Rating: 4.2/5.0

Total Reviews: 208

How Do G2 Users Rate Cloudera?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 9.1/10)
  • Automation: 9.2/10 (Category avg: 9.0/10)
  • Scalability: 8.3/10 (Category avg: 8.7/10)
  • Auditing: 8.3/10 (Category avg: 8.2/10)

Who Is the Company Behind Cloudera?

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

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Banking
  • Company Size: 39% Large, 33% Small

What Do G2 Reviewers Say About Cloudera?

AI-generated summary from verified user reviews

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

What Are Recent G2 Reviews of Cloudera?

What Are G2 Users Discussing About Cloudera?

ILUM

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

Average Rating: 4.9/5.0

Total Reviews: 23

How Do G2 Users Rate ILUM?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.1/10)
  • Automation: 10.0/10 (Category avg: 9.0/10)
  • Scalability: 10.0/10 (Category avg: 8.7/10)
  • Auditing: 10.0/10 (Category avg: 8.2/10)

Who Is the Company Behind ILUM?

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

Who Uses This Product?

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

What Do G2 Reviewers Say About ILUM?

AI-generated summary from verified user reviews

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

What Are Recent G2 Reviews of ILUM?

BMC AMI Data

BMC AMI Data is an intelligent data management and optimization solution for IBM Z environments. It helps enterprises manage, protect, and optimize mission-critical mainframe data while reducing operational complexity, cost, and risk. BMC AMI Data leverages automation, advanced analytics, and predictive insights to streamline data maintenance, improve performance, and ensure the availability of critical workloads across Db2, IMS, VSAM, and related systems. The solution enables data teams to move from reactive management to proactive, insights-driven operations. Key capabilities include: - Automated data management and maintenance to reduce manual effort and improve operational efficiency - Real-time analytics and predictive insights to optimize performance and anticipate issues before they impact workloads - CPU and resource optimization to control costs and improve system efficiency at scale - Data protection and risk reduction to safeguard critical information and maintain data integrity - Support for modernization initiatives by simplifying how mainframe data is managed and integrated with evolving business needs - On-platform processing that keeps data secure and managed directly within the IBM Z environment By modernizing mainframe data management with automation and intelligence, BMC AMI Data helps organizations control data growth, reduce operational risk, and ensure high-performance delivery of always-on, business-critical applications.

Average Rating: 4.4/5.0

Total Reviews: 76

How Do G2 Users Rate BMC AMI Data?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.1/10)
  • Automation: 9.2/10 (Category avg: 9.0/10)
  • Scalability: 8.3/10 (Category avg: 8.7/10)
  • Auditing: 8.3/10 (Category avg: 8.2/10)

Who Is the Company Behind BMC AMI Data?

  • 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?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 47% Large, 32% Small

What Do G2 Reviewers Say About BMC AMI Data?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the analytics capabilities of BMC AMI Data, enhancing database management and decision-making processes.
  • Users value the automation features of BMC AMI Data, enhancing integration and ensuring quality standards are met.
  • Users appreciate the user-friendly interface of BMC AMI Data, finding it easy to navigate and utilize effectively.
  • Users appreciate the easy integrations with tools like Jenkins and UrbanCode, enhancing workflow efficiency and compatibility.
  • Users appreciate the automation and monitoring features of BMC AMI Data, enhancing database management efficiency and usability.
Cons
  • Users are concerned about the high expense of BMC AMI Data, which may deter budget-conscious clients.
  • Users report installation difficulties with BMC AMI Data, impacting their ability to effectively set up the system.
  • Users report a significant learning curve with BMC AMI Data, making initial use challenging for many.
  • Users find limited compatibility with older Db2 systems, which hampers the overall integration experience with BMC AMI Data.
  • Users express concerns about the limited customization options in BMC AMI Data, affecting their ability to adapt the product.

What Are Recent G2 Reviews of BMC AMI Data?

What Are G2 Users Discussing About BMC AMI Data?

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Polytomic

Polytomic is a unified data movement platform that makes it easy for teams to keep all their systems in sync, data warehouses, operational databases, and SaaS applications. It supports ETL, Reverse ETL, and bi-directional sync, helping teams ensure that tools like Snowflake, Postgres, MongoDB, Salesforce, HubSpot, NetSuite, and internal apps are always aligned in real time. With Polytomic, you can: Sync from Warehouse → SaaS: Push modeled analytics into CRMs and marketing platforms. Sync from SaaS → Warehouse: Bring back usage data, leads, tickets, and revenue for analytics. Enable true two-way sync: Keep both sides current when systems need to stay fully aligned. Data teams get SQL support, logging, monitoring, and Infrastructure-as-Code. RevOps, Marketing, and Customer Success teams can configure syncs with a no-code UI, no engineering tickets required. Polytomic is built to scale with large datasets, supports Change Data Capture (CDC) for high-volume databases, and can run self-hosted for organizations with strict compliance needs. Why teams switch to Polytomic: Combines ETL, Reverse ETL, and CDC in a single platform, no multi-tool pipelines. Real bi-directional sync keeps critical systems aligned. CDC reduces load, making updates fast and cost-efficient. Self-hosted option for full data control. Fast connector velocity and responsive engineering support. Polytomic gives organizations a single, reliable way to move, sync, and manage data, so teams can trust their systems, act on insights faster, and focus on growth rather than manual pipelines.

Average Rating: 4.8/5.0

Total Reviews: 55

How Do G2 Users Rate Polytomic?

  • Has the product been a good partner in doing business?: 9.9/10 (Category avg: 9.1/10)
  • Automation: 9.5/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 8.9/10 (Category avg: 8.2/10)

Who Is the Company Behind Polytomic?

  • Seller: Polytomic
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco, California
  • Twitter: @polytomic
    87 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 56% Medium, 40% Small

What Do G2 Reviewers Say About Polytomic?

AI-generated summary from verified user reviews

Pros
  • Users praise Polytomic for its outstanding customer support, highlighting responsiveness and proactive assistance throughout their experience.
  • Users commend Polytomic for its reliable data synchronization, effectively integrating multiple platforms with excellent support and responsiveness.
  • Users find Polytomic remarkably easy to use, benefiting from seamless setup and integration across various platforms.
  • Users value the easy integrations of Polytomic, enhancing their data synchronization across multiple platforms seamlessly.
  • Users commend the reliability of Polytomic, enjoying seamless connections and outstanding customer support throughout their experience.
Cons
  • Users report occasional bug issues, but appreciate the responsive support and prompt fixes from the Polytomic team.
  • Users suggest improved customizable error reporting, though the support team is responsive to issues encountered.
  • Users find the limited connectors in Polytomic restrictive, necessitating additional tools for comprehensive functionality.
  • Users report encountering software bugs, but appreciate the quick resolution and support from the Polytomic team.
  • Users find data limitations troubling, particularly with sync capabilities between Airtable and Hubspot for larger databases.

What Are Recent G2 Reviews of Polytomic?

Singular

Singular is the only end-to-end marketing attribution and analytics platform that uncovers true ROI across all marketing channels. We transform complex marketing data into actionable insights by unifying campaign data from thousands of channels with cross-device attribution data. Leading brands like LinkedIn, Nike, WB Games, and Rovio rely on Singular to maximize every marketing dollar, eliminate wasted spend, and drive higher user retention. With superior ROI reporting, advanced fraud prevention, user engagement capabilities, and unmatched data accessibility, marketers can finally drive faster growth with smarter insights.

Average Rating: 4.6/5.0

Total Reviews: 538

How Do G2 Users Rate Singular?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 9.1/10)
  • Automation: 8.9/10 (Category avg: 9.0/10)
  • Scalability: 8.9/10 (Category avg: 8.7/10)
  • Auditing: 8.3/10 (Category avg: 8.2/10)

Who Is the Company Behind Singular?

  • Seller: Singular
  • Company Website:
  • Year Founded: 2014
  • HQ Location: Palo Alto, California
  • Twitter: @TweetSingular
    1,316 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    361 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: User Acquisition Manager, Marketing Manager
  • Top Industries: Computer Games, Financial Services
  • Company Size: 52% Medium, 27% Small

What Do G2 Reviewers Say About Singular?

AI-generated summary from verified user reviews

Pros
  • Users highlight the best-in-class customer support from Singular, noting its responsiveness and quick resolution of issues.
  • Users value the ease of use of Singular, benefiting from clear dashboards and straightforward onboarding.
  • Users find Singular's support and customer service exceptionally helpful, ensuring timely assistance and tailored solutions for their needs.
  • Users appreciate the flexibility and transparency of Singular, enhancing data analysis and decision-making efficiency.
  • Users value the comprehensive reporting capabilities of Singular, enhancing their campaign management and insights effectively.
Cons
  • Users find the poor interface design of Singular can hinder functionality and requires additional support for effective use.
  • Users find the UI to be unintuitive, often requiring extra support and feeling less flexible than desired.
  • Users note the inability to share boards without being linked, impacting collaboration and creating reporting challenges.
  • Users note significant data limitations with Singular, impacting attribution accuracy and analysis of campaigns.
  • Users find the limited attribution capabilities of Singular hinder accurate tracking and reporting for effective campaign management.

What Are Recent G2 Reviews of Singular?

What Are G2 Users Discussing About Singular?

Amazon Kinesis Data Firehose

Amazon Kinesis Data Firehose is the easiest way to reliably load real-time streams into data lakes, warehouses, and analytics services. Kinesis Data Firehose can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration. It can also batch, compress, and encrypt the data before loading it, minimizing the amount of storage used at the destination and increasing security.

Average Rating: 4.2/5.0

Total Reviews: 21

How Do G2 Users Rate Amazon Kinesis Data Firehose?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.1/10)
  • Automation: 9.3/10 (Category avg: 9.0/10)
  • Scalability: 9.4/10 (Category avg: 8.7/10)
  • Auditing: 8.3/10 (Category avg: 8.2/10)

Who Is the Company Behind Amazon Kinesis Data Firehose?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    148,266 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 44% Medium, 36% Large

What Are Recent G2 Reviews of Amazon Kinesis Data Firehose?

Portable

Access 1000+ fully-managed connectors and lightning fast custom development. Stop searching for the connector you need. We'll build it for you in less than 24 hours. Hands on support. Flat rate pricing. 30 day free trial.

Average Rating: 4.9/5.0

Total Reviews: 30

How Do G2 Users Rate Portable?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.1/10)
  • Automation: 9.1/10 (Category avg: 9.0/10)
  • Scalability: 9.1/10 (Category avg: 8.7/10)
  • Auditing: 6.7/10 (Category avg: 8.2/10)

Who Is the Company Behind Portable?

  • Seller: Portable
  • Year Founded: 2020
  • HQ Location: New York, NY
  • LinkedIn® Page: www.linkedin.com
    22 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 63% Medium, 27% Small

What Do G2 Reviewers Say About Portable?

AI-generated summary from verified user reviews

Pros
  • Users highly value the responsive customer support of Portable, appreciating their quick solutions and reliability.
  • Users highlight the ease of use of Portable, praising its straightforward setup and flexibility for all needs.
  • Users commend Portable for their exceptional speed in responding to requests and resolving issues swiftly.
  • Users value the variety of connectors offered by Portable, enhancing seamless data integration and efficient workflows.
  • Users find the setup process incredibly easy, allowing for quick integration and flexibility in use.
Cons
  • Users desire improved error reporting features for sync failures, seeking better feedback and automated alerts for troubleshooting.
  • Users find the pricing model expensive, as it requires multiple tiered connector purchases instead of individual options.
  • Users experience a lack of real-time data, making it difficult to monitor sync failures and troubleshoot independently.
  • Users note the limited connectors options, requiring tiered purchases instead of individual add-ons, which can be restrictive.
  • Users have experienced performance issues initially, but improvements have alleviated these concerns over time.

What Are Recent G2 Reviews of Portable?

Hevo Data

Hevo is a no-code ELT platform built on three principles: simplicity, reliability, and transparency. Connect your sources to leading data warehouses in 5 minutes with no engineering effort required. With automated scaling, fault-tolerant architecture, transparent pricing, and end-to-end visibility, Hevo keeps your data accurate and your pipelines running smoothly. Trusted by over 2,000 data teams across 45+ countries, Hevo brings all your data together through an intuitive experience that gets pipelines up and running in just a few clicks, so you can spend less time maintaining infrastructure and more time using your data.

Average Rating: 4.4/5.0

Total Reviews: 293

How Do G2 Users Rate Hevo Data?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.1/10)
  • Automation: 8.9/10 (Category avg: 9.0/10)
  • Scalability: 8.5/10 (Category avg: 8.7/10)
  • Auditing: 8.1/10 (Category avg: 8.2/10)

Who Is the Company Behind Hevo Data?

  • Seller: Hevo Data
  • Company Website:
  • Year Founded: 2017
  • HQ Location: San Francisco, California
  • Twitter: @HevoData
    830 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    253 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Computer Software, Financial Services
  • Company Size: 49% Medium, 39% Small

What Do G2 Reviewers Say About Hevo Data?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Hevo Data, finding the no-code interface and drag-and-drop functionality beneficial.
  • Users value the excellent customer support of Hevo Data, ensuring assistance is available whenever needed.
  • Users find easy integrations with Hevo Data remarkable, simplifying data collection and ETL pipeline setup without coding.
  • Users find Hevo Data's easy setup with no-code drag-and-drop features incredibly efficient for building ETL pipelines.
  • Users love Hevo Data for its no-code drag-and-drop interface, simplifying ETL pipeline implementation and integration.
Cons
  • Users find Hevo Data to be a bit expensive, which can be a concern for budget-conscious teams.
  • Users find the pricing issues of Hevo Data to be somewhat high despite the offered integrations.
  • Users experience limited customization, finding it challenging to handle complex transformations and lacking intuitive UI options.
  • Users face limited customization and transformation capabilities in Hevo Data, impacting complex data handling.
  • Users find the setup complex, with initial confusion affecting their experience and understanding of costs.

What Are Recent G2 Reviews of Hevo Data?

What Are G2 Users Discussing About Hevo Data?

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: 9.1/10)
  • Automation: 9.1/10 (Category avg: 9.0/10)
  • Scalability: 8.3/10 (Category avg: 8.7/10)
  • Auditing: 7.8/10 (Category avg: 8.2/10)

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?

Help Desk Migration Services

Help Desk Migration by Relokia is a cloud-based, one-click data migration solution that enables secure and fast transfer of customer support data between help desk, ITSM, and knowledge base platforms. The platform supports 100+ integrations, allowing teams to migrate data between systems using a no-code Migration Wizard — without manual exports, scripts, or downtime. Key Features - Data Integrity & Historical Accuracy Help Desk Migration preserves 100% of your historical support data, including tickets and incidents, conversations, users, organizations, agents, knowledge base articles, structures, statuses, priorities, and relationships between records. All data is migrated in a consistent and auditable way, ensuring nothing is lost or altered during the transfer. - Automated Migration Wizard The intuitive Migration Wizard enables fast and accurate data transfer to platforms such as: - Zendesk - Jira Service Management - Jira Customer Service Management - Freshdesk - Freshservice - ServiceNow - Salesforce Service Cloud - HubSpot Service Hub and 100+ other platforms The entire process is automated and requires no engineering resources. - Intuitive Data Mapping Help Desk Migration allows users to map fields between the source and target platforms with full control. You can align default and custom fields, statuses, priorities, users, and other entities to match your existing workflows and reporting structure. - Enterprise-Grade Security Help Desk Migration is built for enterprise use and follows GDPR-, HIPAA-, and SOC-aligned practices. The platform operates using secure API connections and works in close partnership with major help desk vendors to ensure compliance, reliability, and data protection. - Free Demo Migration Run a free Demo Migration to validate results before committing to a full migration. The automated tool transfers up to 20 tickets or incidents from the source to the target platform, allowing you to verify data accuracy, structure, and mappings with zero risk. - Fast Data Transfer Migration speed ranges from a few minutes to several hours, depending on record volume and API rate limits of the target platform. Even large-scale migrations are optimized to complete as quickly and safely as possible. - Zero Downtime with Delta Migration Help Desk Migration supports Delta Migration, enabling teams to migrate newly created or updated records after the initial full migration—without stopping live support operations. Delta Migration captures all changes that occurred during or after the main migration and syncs them to the target system. This ensures: - No ticket freezes - No missed updates - No disruption to agents or customers As a result, teams can switch platforms seamlessly while maintaining continuous support and full data consistency.

Average Rating: 4.9/5.0

Total Reviews: 181

How Do G2 Users Rate Help Desk Migration Services?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 9.1/10)
  • Scalability: 10.0/10 (Category avg: 8.7/10)
  • Auditing: 10.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Help Desk Migration Services?

  • Seller: Relokia
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Ternopil, UA
  • Twitter: @HDMigration
    156 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Founder, IT Manager
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 52% Small, 37% Medium

What Do G2 Reviewers Say About Help Desk Migration Services?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of Help Desk Migration Services remarkable, streamlining the migration process effectively.
  • Users commend the exceptional customer support from Help Desk Migration Services, ensuring smooth and efficient migration processes.
  • Users find the migration process easy and fast, appreciating responsive support and a straightforward interface for mapping.
  • Users appreciate the easy setup of Help Desk Migration Services, ensuring a seamless migration experience with excellent support.
  • Users value the easy integrations of Help Desk Migration Services, simplifying connections between various platforms effortlessly.
Cons
  • Users experience slow migration times due to API limits, necessitating potential upgrades or additional fees.
  • Users find the service expensive, especially when needing extra fields or removing unnecessary options to lower costs.
  • Users face extra costs for upgrades and charges for existing features during Help Desk Migration Services.
  • Users point out a lack of features in Help Desk Migration Services, impacting flexibility during the migration process.
  • Users face significant limitations with Help Desk Migration Services, particularly in mapping data to only one issue type.

What Are Recent G2 Reviews of Help Desk Migration Services?

What Are G2 Users Discussing About Help Desk Migration Services?

Coalesce

Coalesce is the data operating layer for analytics and AI. It unifies data transformation, cataloging, and quality in one governed platform. Coalesce Transform, Coalesce Catalog, and Coalesce Quality share one metadata layer, one set of definitions, and one governance model. • One system, not a stitched toolchain: Transform, Catalog, and Quality share one metadata layer, one set of definitions, and one governance model. • Govern every actor, human or AI: an agent follows the same standards, approvals, and lineage as an engineer in the IDE. • A purpose-built place to review AI's work: the visual graph, node inspection, and column-level lineage let humans verify agent-built pipelines before they ship, with an audit trail that separates agent from human work. • Request to production in one flow: no handoffs across tools and teams; governed by default. Coalesce Transform: Build, automate, and govern data transformations—with agents, within the UI, or directly through code. Engineers work in the visual builder, the IDE, or locally through Coalesce Desktop and the coa CLI. Every pipeline compiles to optimized SQL with column-level lineage, reusable Node Types and Packages, and validation on every change. Coalesce Catalog: Discover, document, and govern every data asset with AI. Catalog connects across your stack, documents assets with AI, and keeps lineage, ownership, and definitions current automatically—so people and AI agents work from the same understanding of the data. Coalesce Quality: Monitor, test, and validate data with observability built into the pipeline. Tests, rules, and anomaly monitors run as part of the pipeline. When something breaks, lineage-aware alerting shows what's affected, who owns it, and where the failure started. Built for humans and AI agents: Coalesce Copilot turns natural-language intent into governed transformations. Scout, an always-on data SRE, triages issues and proposes fixes for human review. Transform MCP, Catalog MCP, and Quality MCP let AI agents like Claude Code read metadata, traverse lineage, check quality, and make governed changes under the same standards as engineers. Coalesce never stores data at rest, encrypts data in motion, and runs production refreshes inside your data platform. Leading data teams use Coalesce to resolve incidents 5× faster, deliver migrations and projects 4× faster, and reclaim 50%+ of warehouse compute.

Average Rating: 4.7/5.0

Total Reviews: 118

How Do G2 Users Rate Coalesce?

  • Has the product been a good partner in doing business?: 9.6/10 (Category avg: 9.1/10)
  • Automation: 8.5/10 (Category avg: 9.0/10)
  • Scalability: 8.6/10 (Category avg: 8.7/10)
  • Auditing: 8.2/10 (Category avg: 8.2/10)

Who Is the Company Behind Coalesce?

  • Seller: Coalesce
  • Company Website:
  • Year Founded: 2020
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    104 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 63% Medium, 23% Large

What Do G2 Reviewers Say About Coalesce?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coalesce, finding it intuitive and accessible for all experience levels.
  • Users value the automation capabilities of Coalesce, which significantly streamline data transformation and save time.
  • Users commend the excellent customer support of Coalesce, highlighting its responsiveness and dedication to user needs.
  • Users value the intuitive UI of Coalesce, making it easy for everyone to use and implement quickly.
  • Users love Coalesce for its user-friendly interface and seamless integration with Snowflake, enhancing data transformation efficiency.
Cons
  • Users often face UI design issues that hinder navigation and usability, affecting their overall experience with Coalesce.
  • Users face integration issues with Coalesce, particularly with limited options and challenges in managing git functionalities.
  • Users find the learning curve challenging due to the lack of comprehensive online courses and deep dives on features.
  • Users find limitations in credential management and customization options, hindering their overall experience with Coalesce.
  • Users find the poor documentation lacks depth, making it challenging to understand features and best practices effectively.

What Are Recent G2 Reviews of Coalesce?

AWS Import/Export Snowball

AWS Import/Export Snowball is a petabyte-scale data transport solution that uses secure appliances to transfer large amounts of data into and out of the AWS cloud and addresses common challenges with large-scale data transfers including high network costs, long transfer times, and security concerns.

Average Rating: 4.1/5.0

Total Reviews: 26

How Do G2 Users Rate AWS Import/Export Snowball?

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

Who Is the Company Behind AWS Import/Export Snowball?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    148,266 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 48% Medium, 28% Large

What Are Recent G2 Reviews of AWS Import/Export Snowball?

What Are G2 Users Discussing About AWS Import/Export Snowball?

lyftrondata

Your ultimate next-gen agile, data delivery platform with modern cloud data warehouse & lake. Create and manage all of your data workloads on one platform. Boost the productivity of your data professionals and shorten your time to value in order to deliver modern and integrated data solutions swiftly from anywhere in your organization. We build the best data models around various source API’s, to ensure you will get all of your data and can query the non relational source like API/Json/XML with ANSI Sql. Move on if you data platform is not moving you forward with Lyftron govern and secure data delivery platform for your data migration and modernization needs as Lyftron eliminates traditional ETL/EDW bottlenecks with automatic data pipeline & modern next-gen cloud warehouse which makes data instantly accessible to BI user with the modern cloud compute of Spark & Snowflake. Lyftron connectors automatically convert any source into normalized, ready-to-query relational format and provide search capability on your enterprise data catalog. At Lyftron Data, we eliminate the time spent by engineers building data pipelines manually- and make data instantly accessible to analysts by providing real-time access to all your data with simple ANSI SQL. Our pre-built connectors automatically deliver data to warehouses in normalized, ready-to-query schemas and provide data governance and sensitive data encryption capability.

Average Rating: 4.9/5.0

Total Reviews: 131

How Do G2 Users Rate lyftrondata?

  • Has the product been a good partner in doing business?: 9.5/10 (Category avg: 9.1/10)
  • Automation: 9.6/10 (Category avg: 9.0/10)
  • Scalability: 9.8/10 (Category avg: 8.7/10)
  • Auditing: 9.6/10 (Category avg: 8.2/10)

Who Is the Company Behind lyftrondata?

  • Seller: Lyftron
  • Year Founded: 2019
  • HQ Location: Reston, Virginia
  • Twitter: @lyftron
    22 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    125 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Architect, Data Analyst
  • Top Industries: Information Technology and Services, Health, Wellness and Fitness
  • Company Size: 84% Medium, 11% Small

What Are Recent G2 Reviews of lyftrondata?

What Are G2 Users Discussing About lyftrondata?

Etleap

Built for the modern data analyst, Etleap enables you to create data pipelines and data warehouses/lakes with a maintenance-free, no code ETL solution. With world-class technical support, you can reduce the time your engineers spend on ETL and deliver actionable data to analysts in minutes with pipelines that "just work". Etleap supports effortless integration from over 75 source connectors across databases, applications, files, and event streams. Founded in 2013 and headquartered in San Francisco, Etleap is your one-stop solution for managing your cloud-ETL needs. Interested in a 30-day free trial? Request a Demo today at https://etleap.com/demo/

Average Rating: 4.9/5.0

Total Reviews: 27

How Do G2 Users Rate Etleap?

  • Has the product been a good partner in doing business?: 9.9/10 (Category avg: 9.1/10)
  • Automation: 9.3/10 (Category avg: 9.0/10)
  • Scalability: 9.7/10 (Category avg: 8.7/10)
  • Auditing: 8.6/10 (Category avg: 8.2/10)

Who Is the Company Behind Etleap?

  • Seller: Etleap
  • Year Founded: 2013
  • HQ Location: San Francisco, CA
  • Twitter: @etleap
    149 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    23 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services
  • Company Size: 59% Medium, 30% Large

What Do G2 Reviewers Say About Etleap?

AI-generated summary from verified user reviews

Pros
  • Users find Etleap to have an exceptional ease of use, making data integration and pipeline management straightforward and efficient.
  • Users value the automation capabilities of Etleap, praising its ease of use and efficient ETL processes.
  • Users praise the responsive customer support of Etleap, enhancing their overall experience with the platform.
  • Users value the ease of use and excellent support with Etleap, enhancing data integration and pipeline management.
  • Users find Etleap to be intuitive and easy to use, facilitating seamless implementation and integration of data pipelines.
Cons
  • Users find pipeline issues can hinder usability, suggesting improvements for better navigation and parsing.
  • Users find connection issues challenging, suggesting that managing pipelines could be more user-friendly.
  • Users feel that navigating pipelines for a governed connection in Etleap could be more intuitive and manageable.

What Are Recent G2 Reviews of Etleap?

CData Virtuality

CData Virtuality - Data Virtualization for Flexible Data Architectures By uniquely combining data virtualization and physical data replication, CData Virtuality provides data teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data governance features that are indispensable for these frameworks. Enterprises around the world, such as BSH, PGGM, PartnerRe or Crédit Agricole use CData Virtuality to build modern data architectures that meet today’s and tomorrow’s business requirements. Imprint: https://www.cdata.com/company/legal/impressum/ Privacy notice: https://www.cdata.com/company/legal/privacy/

Average Rating: 4.7/5.0

Total Reviews: 20

How Do G2 Users Rate CData Virtuality?

  • Has the product been a good partner in doing business?: 9.5/10 (Category avg: 9.1/10)
  • Automation: 10.0/10 (Category avg: 9.0/10)
  • Scalability: 8.9/10 (Category avg: 8.7/10)
  • Auditing: 8.3/10 (Category avg: 8.2/10)

Who Is the Company Behind CData Virtuality?

  • Seller: CData
  • Year Founded: 2014
  • HQ Location: Chapel Hill, NC
  • Twitter: @cdatasoftware
    2,000 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    493 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 65% Medium, 35% Small

What Are Recent G2 Reviews of CData Virtuality?

What Are G2 Users Discussing About CData Virtuality?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026