# Best ETL Tools - Page 10

*By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)*

Databricks is the top-ranked ETL tool in 2026, rated 4.6 out of 5 on G2 based on 1,300+ verified reviews. Celigo stands out as the highest-rated option at 4.7 stars, particularly favored by NetSuite-centric organizations seeking seamless app integration and ease of use.

1. Databricks — 4.6/5 (1,300+ reviews): Unified lakehouse pipelines with governance and ML workflows
2. Celigo — 4.6/5 (1,000+ reviews): NetSuite-centered app integration and sync
3. Google Cloud BigQuery — 4.5/5 (1,200+ reviews): Serverless analytics on large cloud datasets
4. Alteryx — 4.6/5 (800+ reviews): Drag-and-drop data prep and reporting automation
5. IBM watsonx.data — 4.4/5 (100+ reviews): Lakehouse querying across object storage

*Updated June 2026. Based on 2026 G2 verified review data across 1,780 products.*


ETL (extract, transform, and load) tools transfer data between databases and external systems, supporting data replication, warehousing, analytics, data cleansing, and structuring, and increasingly support ELT workflows where transformation occurs within the target system rather than before loading.

### Core Capabilities of ETL Tools

To qualify for inclusion in the ETL category, a product must:

- Facilitate extract, transform, and load processes
- Transform data for quality or visualization
- Audit or record integration data
- Archive data for backup, future reference, or analysis

### Common Use Cases for ETL Tools

Data engineering and analytics teams use ETL tools to move and prepare data for reporting, analysis, and business intelligence. Common use cases include:

- Replicating data from source systems into [data warehouses](https://www.g2.com/categories/data-warehouse) for centralized analytics
- Cleansing and transforming raw data into structured, queryable formats
- Building visual data workflows to automate recurring data transfer and integration processes

### How ETL Tools Differ from Other Tools

ETL tools pre-process and transform data before loading it into the target system, distinguishing them from ELT approaches where the target system handles transformation after loading. While [data integration tools](https://www.g2.com/categories/data-integration-tools) cover a broader range of connectivity scenarios, ETL tools focus specifically on structured data movement pipelines with built-in transformation, auditing, and archiving capabilities.

### Insights from G2 on ETL Tools

Based on category trends on G2, visual workflow builders and pre-built connectors stand out as standout features. These platforms deliver reductions in manual data preparation time and improved data quality as core benefits of ETL adoption.





## Top ETL Tools at a Glance
| # | Product | Rating | Best For | What Users Say |
|---|---------|--------|----------|----------------|
| 1 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (1,284 reviews) | Unified lakehouse pipelines with governance and ML workflows | "[Great Spark Scaling, But Slow Cluster Boot Times](https://www.g2.com/survey_responses/databricks-review-12905667)" |
| 2 | [Celigo](https://www.g2.com/products/celigo/reviews) | 4.6/5.0 (1,018 reviews) | NetSuite-centered app integration and sync | "[Go for it if you’re looking for a solid integration platform](https://www.g2.com/survey_responses/celigo-review-11876505)" |
| 3 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,145 reviews) | Serverless analytics on large cloud datasets | "[Easy-to-Use Cloud Tool with Shareable, Saved Queries](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)" |
| 4 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (829 reviews) | Drag-and-drop data prep and reporting automation | "[Intuitive Drag-and-Drop Analytics That Speeds Up Data Prep and Insights](https://www.g2.com/survey_responses/alteryx-review-12983224)" |
| 5 | [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) | 4.4/5.0 (159 reviews) | Lakehouse querying across object storage | "[Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202)" |
| 6 | [FME Platform](https://www.g2.com/products/fme-platform/reviews) | 4.6/5.0 (124 reviews) | Geospatial and multi-format data transformation | "[FME Saves Time with Powerful GIS ETL and Automation](https://www.g2.com/survey_responses/fme-platform-review-12863747)" |
| 7 | [Fivetran](https://www.g2.com/products/fivetran/reviews) | 4.3/5.0 (782 reviews) | Managed connector-based data ingestion | "[Trouble-Free Data Pipelines with Effortless Connections to Nearly Every Service](https://www.g2.com/survey_responses/fivetran-review-12999542)" |
| 8 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (999 reviews) | Self-service ETL feeding business dashboards | "[Domo Makes Real-Time Dashboards Effortless with Intuitive ETL and Mobile Metrics](https://www.g2.com/survey_responses/domo-review-13032278)" |
| 9 | [Workato](https://www.g2.com/products/workato/reviews) | 4.7/5.0 (749 reviews) | Low-code workflow automation across SaaS apps | "[Workato helps us building complex integrations at lightning speed.](https://www.g2.com/survey_responses/workato-review-10305521)" |
| 10 | [Skyvia](https://www.g2.com/products/skyvia/reviews) | 4.8/5.0 (327 reviews) | No-code CRM sync, backup, and scheduled ETL | "[Quick Data Connections Without Engineering Overhead](https://www.g2.com/survey_responses/skyvia-review-13059498)" |

---
## What Are the Most Common Questions About ETL Tools?
*AI-generated · Last updated: May 26, 2026*
### How to evaluate ETL tools based on performance and transformation logic?
Based on G2 reviews, buyers evaluating ETL tools for performance and transformation logic should focus on how well platforms handle large data volumes, connect multiple sources, and support dependable transformations without excessive manual work. According to verified users, strong options are often described as fast, scalable, and capable of simplifying complex workflows while supporting SQL, APIs, batch jobs, or real-time processing. G2 reviewers mention that practical evaluation also comes down to how easy pipelines are to debug, how clearly data flows can be monitored, and whether transformations can be reused or automated. Reviews also consistently call out tradeoffs such as steep learning curves, slow troubleshooting, or heavy resource use, so teams should weigh speed and flexibility against maintainability.


### What best ETL platforms with version control and team collaboration features?
Based on G2 reviews, Databricks stands out strongly for ETL teams that want version-aware development and collaboration in one environment. According to verified users, Databricks is frequently praised for shared notebooks, Git-based repo sync, CI/CD support, and a workspace that helps engineers, analysts, and data teams work together on pipelines, transformations, and analytics. G2 reviewers mention that these collaboration features help reduce coordination overhead and make onboarding easier, especially when multiple users are working across notebooks and workflows. At the same time, reviewers also note tradeoffs such as workspace sprawl, UI complexity at scale, and the need for discipline around administration and cost control. Overall, recent reviews point to Databricks as the clearest single-product leader here.

**Here are some of the top-rated products on G2:**

- [Databricks](https://www.g2.com/products/databricks/reviews) – used for shared notebooks, Git-based repo sync, collaborative ETL workflows, and centralized pipeline development


### How to choose an ETL platform for multi-source data integration?
Based on G2 reviews, the best way to choose an ETL platform for multi-source data integration is to look for evidence that users successfully connect databases, SaaS apps, cloud storage, APIs, spreadsheets, and warehouses without heavy custom work. According to verified users, buyers should prioritize broad connector coverage, strong transformation options, scheduling, and reliability once pipelines are live. G2 reviewers mention that teams also care about how easily data can be standardized from fragmented systems into a single reporting or analytics layer. Reviews repeatedly highlight practical concerns such as debugging difficulty, documentation quality, and connector maturity, especially for edge cases. A strong fit is usually a platform that reduces manual exports, centralizes data movement, and keeps downstream reporting consistent.


### Where to buy ETL tools with flexible pricing for startups and enterprises?
Based on G2 reviews, buyers looking for ETL tools with flexible pricing should compare platforms on how predictable costs remain as usage grows, not just on entry price. According to verified users, some tools are valued because they avoid forcing separate purchases for every workflow, while others are praised for fair monthly pricing, startup-friendly plans, or capacity-based structures that make budgeting easier. G2 reviewers mention that pricing friction often appears when usage scales, connectors are gated, or cost models become hard to forecast. For startup and enterprise buyers alike, the practical signal is whether teams feel they can expand integrations without constant pricing surprises. Reviews suggest prioritizing platforms described as affordable, transparent, or cost-effective for real production use.

**Here are some of the top-rated products on G2:**

- [Skyvia](https://www.g2.com/products/skyvia/reviews) – favored by small and mid-sized teams for affordable no-code integrations and predictable data movement workflows
- [Fivetran](https://www.g2.com/products/fivetran/reviews) – chosen for managed connector setup and reliability, though reviews often discuss cost planning as volume grows
- [Celigo](https://www.g2.com/products/celigo/reviews) – used for expanding business integrations with low-code flows and reusable templates across systems


### Where to find cloud-native ETL platforms for modern data stacks?
Based on G2 reviews, cloud-native ETL platforms for modern data stacks are typically the ones users describe as serverless, easy to integrate with cloud warehouses and storage, and well suited for SaaS-heavy environments. According to verified users, these products often support automated syncing into tools like Snowflake, BigQuery, Redshift, or cloud lakehouse environments while reducing infrastructure management. G2 reviewers mention that buyers should look for platforms praised for quick deployment, broad cloud connectors, scheduling, and compatibility with modern analytics workflows. Reviews also show that the best cloud-native fit depends on whether your team prioritizes low maintenance, open-source flexibility, or warehouse-centric transformation. In practice, users favor platforms that shorten setup time and keep pipelines dependable at scale.


### Which ETL tools support real-time streaming data processing?
Based on G2 reviews, Databricks is the clearest match for ETL buyers who need support for real-time or near real-time data processing. According to verified users, Databricks is repeatedly used for streaming alongside batch workloads, with reviewers highlighting scalable Spark-based processing, unified pipeline management, and strong support for handling large or continuously changing datasets. G2 reviewers mention that the platform helps teams bring ETL, analytics, and data engineering into one environment, which is valuable when streaming workflows need to feed downstream reporting or operational systems. Reviewers also note tradeoffs such as cluster startup delays, debugging complexity, and cost monitoring requirements, but recent review volume still makes Databricks the strongest single-winner answer here.

**Here are some of the top-rated products on G2:**

- [Databricks](https://www.g2.com/products/databricks/reviews) – used for both batch and real-time workflows, scalable Spark processing, and unified ETL plus analytics pipelines


### What best ETL software for building scalable data pipelines?
Based on G2 reviews, the strongest ETL software for scalable data pipelines is usually the one users trust for large workloads, multi-source ingestion, and long-running production workflows without constant manual fixes. According to verified users, common strengths include handling high data volumes, integrating cloud services and warehouses, automating scheduling, and supporting reusable pipeline logic. G2 reviewers mention that scalability is not just raw performance; it also depends on monitoring, governance, ease of updates, and whether teams can keep pipelines maintainable as usage grows. Reviews consistently call out Databricks, Fivetran, and FME Platform as examples of tools used for scalable pipelines, though buyers should compare complexity, connector depth, and cost discipline against their own environment.

**Here are some of the top-rated products on G2:**

- [Databricks](https://www.g2.com/products/databricks/reviews) – used for scalable Spark-based pipelines, unified ETL workflows, and high-volume analytics processing
- [Fivetran](https://www.g2.com/products/fivetran/reviews) – used for managed ingestion pipelines from many SaaS sources into cloud warehouses with low maintenance
- [FME Platform](https://www.g2.com/products/fme-platform/reviews) – used for large multi-format workflows, automated transformations, and reliable enterprise-scale data movement


### Who offers ETL tools with low-code interface and drag-and-drop builders?
Based on G2 reviews, several ETL vendors offer low-code interfaces and drag-and-drop builders aimed at making integration work easier for both technical and less technical teams. According to verified users, these tools are especially valued when they reduce scripting needs, speed up pipeline creation, and make workflows easier to explain or maintain. G2 reviewers mention visual builders, reusable templates, and no-code automation as recurring strengths across multiple products. At the same time, reviews show that low-code does not always mean simple at scale, since debugging, customization, or advanced logic can still introduce complexity. Buyers should look for products whose reviews specifically mention intuitive workflow design, easier onboarding, and broad integration support.

**Here are some of the top-rated products on G2:**

- [FME Platform](https://www.g2.com/products/fme-platform/reviews) – used for visual workflow building, drag-and-drop transformations, and automation across many systems and formats
- [Workato](https://www.g2.com/products/workato/reviews) – used for low-code recipe building, connector-based integrations, and workflow automation across business apps
- [Celigo](https://www.g2.com/products/celigo/reviews) – used for low-code integration flows, prebuilt templates, and automating ERP, ecommerce, and SaaS workflows


### What ETL solutions support automated error handling and retries?
Based on G2 reviews, ETL solutions that support automated error handling and retries are usually the ones users describe as reliable in production and strong at surfacing failures before they disrupt downstream reporting. According to verified users, these platforms often include retry logic, monitoring, alerts, or workflow controls that reduce the need for manual intervention. G2 reviewers mention detailed error visibility as a major advantage in products like Celigo, Fivetran, and Workato, especially when teams need to manage frequent integrations across multiple systems. Reviews also note that not every product is equally transparent when something breaks, so buyers should look beyond automation claims and evaluate how easy it is to identify, retry, and resolve failures in real workflows.


### Which ETL tools integrate with popular data lakes and data warehouses?
Based on G2 reviews, Databricks is the strongest single answer for ETL tools that integrate with popular data lakes and data warehouses. According to verified users, Databricks is repeatedly used in environments that combine lakehouse architecture, cloud storage, external warehouses, and downstream analytics tools. G2 reviewers mention integrations with platforms such as BigQuery, Snowflake, cloud ecosystems, BI tools, and governed data layers, all within a unified workflow for ETL, analytics, and machine learning. Reviewers also highlight that the platform reduces fragmentation by bringing multiple workloads into one environment, though they note that cost management and complexity still require attention. For buyers prioritizing broad lake and warehouse alignment, Databricks appears most consistently in recent review evidence.

**Here are some of the top-rated products on G2:**

- [Databricks](https://www.g2.com/products/databricks/reviews) – used with lakehouse architectures, cloud storage, external warehouses, and BI ecosystems in one ETL environment




## How Many ETL Tools Products Does G2 Track?
**Total Products under this Category:** 250

### Category Stats (Jul 2026)
- **Average Rating**: 4.54/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product**: KNIME (+1.2%) - Among all products in this category, KNIME recorded the largest rating increase compared to last month
*Last updated: July 06, 2026*


## How Does G2 Rank ETL Tools Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 19,000+ Authentic Reviews
- 250+ 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.


## Which ETL Tools Is Best for Your Use Case?

- **Leader:** [Databricks](https://www.g2.com/products/databricks/reviews)
- **Highest Performer:** [5X](https://www.g2.com/products/5x/reviews)
- **Easiest to Use:** [Skyvia](https://www.g2.com/products/skyvia/reviews)
- **Top Trending:** [Matia](https://www.g2.com/products/matia/reviews)
- **Best Free Software:** [Fivetran](https://www.g2.com/products/fivetran/reviews)


---

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---

## What Are the Top-Rated ETL Tools Products in 2026?
### 1. [Octave Databridge Pro](https://www.g2.com/products/octave-databridge-pro/reviews)
Reserved Media is offering the premium domain name Octave.com for sale, emphasizing its value as a sophisticated online identity. The company targets businesses and individuals looking to establish credibility and trust through a valuable domain name. With a focus on the appreciation of premium domain names over time, Reserved Media positions this opportunity as an investment for potential clients. Interested parties can request quotes and get in touch regarding the purchase of the domain.



**Who Is the Company Behind Octave Databridge Pro?**

- **Seller:** [Octave](https://www.g2.com/sellers/octave-9e5a428c-f303-4735-9417-dff1ef5736d4)
- **HQ Location:** Madison, US
- **LinkedIn® Page:** https://www.linkedin.com/company/octaveintelligence/ (3,001 employees on LinkedIn®)






### 2. [Optimus Mine](https://www.g2.com/products/optimus-mine/reviews)
Optimus Mine is a data integration software that extracts data from several sources, transforms it and loads it into one place. Already there are many pre-made connectors which allow you to create pipelines in minutes and we add new options every week



**Who Is the Company Behind Optimus Mine?**

- **Seller:** [Optimus Mine](https://www.g2.com/sellers/optimus-mine)
- **HQ Location:** London, GB
- **LinkedIn® Page:** http://www.linkedin.com/company/optimusmine (2 employees on LinkedIn®)






### 3. [Paradime](https://www.g2.com/products/paradime/reviews)
Paradime is a platform that offers a range of services, including seamless integration with various tools, in-app chat and email support



**Who Is the Company Behind Paradime?**

- **Seller:** [Paradime](https://www.g2.com/sellers/paradime)
- **Year Founded:** 2020
- **HQ Location:** San Francisco, US
- **Twitter:** @paradimelabs (131 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/paradimelabs/?originalSubdomain=uk (13 employees on LinkedIn®)






### 4. [Popsink](https://www.g2.com/products/popsink/reviews)
Popsink serves as a foundational platform for seamless data movement. Its cutting-edge connectors enables automated, real-time, and continuous data replication across databases, systems, applications, and more. With live connections built in minutes and easily extensible, Popsink automatically scales to evolving data needs and integrates with new services with ease. Businesses rely on Popsink for data platform ingestion, cloud migration projects, CRM enrichment, real-time analytics, and a wide range of other use cases.


**Average Rating:** 4.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Popsink?**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10)

**Who Is the Company Behind Popsink?**

- **Seller:** [Popsink](https://www.g2.com/sellers/popsink)
- **Year Founded:** 2021
- **HQ Location:** Paris, FR
- **LinkedIn® Page:** https://www.linkedin.com/company/popsink (7 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market


#### What Are Popsink's Pros and Cons?

**Pros:**

- Connectivity (1 reviews)
- Connectors (1 reviews)
- Connectors Quantity (1 reviews)
- Customer Support (1 reviews)
- Data Management (1 reviews)



### What Do G2 Reviewers Say About Popsink?
*AI-generated summary from verified user reviews*

**Pros:**

- Users appreciate the **seamless connectivity** of Popsink, enabling easy management of connectors and efficient Salesforce integration.
- Users appreciate the **user-friendly interface** of Popsink, allowing easy management of connectors and pipelines.
- Users appreciate the **abundance of connectors** in Popsink, streamlining integration and management of data feeds effortlessly.
- Users appreciate the **helpful customer support** from the PopSink team, assisting with implementation and issues effectively.
- Users appreciate the **easy management of connectors and pipelines** , simplifying data integration from various sources.


#### What Are Recent G2 Reviews of Popsink?

**"[Great solution to stream data from and to different systems](https://www.g2.com/survey_responses/popsink-review-10785821)"**

**Rating:** 4.0/5.0 stars
*— Antoine L.*

[Read full review](https://www.g2.com/survey_responses/popsink-review-10785821)

---



### 5. [Propexo Connect](https://www.g2.com/products/propexo-connect/reviews)
Propexo Connect is a no-code data integration platform for multifamily property management. It extracts data from the property management systems (PMS) and proptech tools your portfolio already runs — including Yardi, RealPage, Entrata, AppFolio, Buildium, and Rent Manager — and loads it automatically into your data warehouse. Multifamily operators lose time to property data trapped across disconnected systems. Building custom PMS integrations means staffing engineers, maintaining brittle API connections, and waiting months for a single report. Propexo Connect replaces that work. Select your sources and your destination, authenticate in a few clicks, and your property management data starts syncing in days — no engineering team required. Connect delivers your data into leading cloud data warehouses — Snowflake, BigQuery, Databricks, Amazon RDS, and PostgreSQL — and keeps it current with continuous syncing, so your business intelligence (BI), analytics, and AI tools always work from live data instead of stale exports. Propexo builds and maintains every connector and handles authentication, pagination, rate limits, and API changes, so your data pipelines keep running without engineering overhead. Built-in monitoring and alerts track pipeline health, sync status, and data freshness from one dashboard. The platform is SOC 2 compliant, with encryption in transit and at rest and role-based access control. Unlike generic ETL and iPaaS tools, Propexo Connect is purpose-built for multifamily real estate. It lands each system's data in its native structure — the foundational first step. From there, you can model it with dbt to get a consistent, normalized schema across every PMS platform. Either way, the hard extraction work is already done. Propexo Connect is the data infrastructure layer for multifamily operators who want a unified, warehouse-based view of their portfolio without building it from scratch. Centralize PMS data, power portfolio-wide reporting, and give your team — and your AI — a reliable, real-estate-specific data foundation to build on.



**Who Is the Company Behind Propexo Connect?**

- **Seller:** [Propexo](https://www.g2.com/sellers/propexo)
- **Year Founded:** 2022
- **HQ Location:** Boston, US
- **LinkedIn® Page:** https://www.linkedin.com/company/propexo (2,071 employees on LinkedIn®)






### 6. [Qlik Talend Cloud](https://www.g2.com/products/qlik-talend-cloud/reviews)
Qlik Talend Cloud offers extensive data integration capabilities plus data quality and governance. Available in Starter, Standard, Premium, and Enterprise editions, it provides features such as bulk and incremental replication, log-based CDC, no-code/low-code/pro-code data pipeline development, a data products catalog, and more . Qlik Talend Cloud can automate the design, creation and continuous update of data warehouses, lakehouses, and AI-ready data lakes on any cloud platform. It offers real-time or near-real-time data integration across heterogeneous environments, supporting critical workloads like fraud detection and AI inference. Qlik Talend Cloud has a scalable 'go-as-you-grow' approach, and supports multiple data integration patterns. Globally available on cloud infrastructure, this unified platform is designed to provide a trusted data foundation for AI and support various data integration needs across organizations of all sizes.


**Average Rating:** 4.6/5.0
**Total Reviews:** 13
**How Do G2 Users Rate Qlik Talend Cloud?**

- **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.1/10)

**Who Is the Company Behind Qlik Talend Cloud?**

- **Seller:** [Qlik](https://www.g2.com/sellers/qlik)
- **Year Founded:** 1993
- **HQ Location:** Radnor, PA
- **Twitter:** @qlik (64,130 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®)
- **Phone:** 1 (888) 994-9854

**Who Uses This Product?**
- **Company Size:** 46% Mid-Market, 38% Small-Business


#### What Are Qlik Talend Cloud's Pros and Cons?

**Pros:**

- API Integration (1 reviews)
- Automation (1 reviews)
- Cloud Computing (1 reviews)
- Data Management (1 reviews)
- Data Pipelining (1 reviews)



### What Do G2 Reviewers Say About Qlik Talend Cloud?
*AI-generated summary from verified user reviews*

**Pros:**

- Users appreciate the **API integration** of Qlik Talend Cloud, simplifying the setup of data ingestion pipelines effectively.
- Users value the **automation capabilities** of Qlik Talend Cloud, streamlining data ingestion without extra infrastructure setup.
- Users admire the **infrastructure-free data ingestion** capabilities of Qlik Talend Cloud, simplifying their pipeline management.
- Users value the **easy data ingestion** capabilities of Qlik Talend Cloud, streamlining processes without extra infrastructure.
- Users value the **ease of building data ingestion pipelines** in Qlik Talend Cloud without additional infrastructure setup.


#### What Are Recent G2 Reviews of Qlik Talend Cloud?

**"[As a startup - upsolver offers a great platform to transfer , manage and transform data at ease!](https://www.g2.com/survey_responses/qlik-talend-cloud-review-5373042)"**

**Rating:** 5.0/5.0 stars
*— Ido A.*

[Read full review](https://www.g2.com/survey_responses/qlik-talend-cloud-review-5373042)

---

**"[Great Tool to Setup Data Ingestion pipeline](https://www.g2.com/survey_responses/qlik-talend-cloud-review-8121211)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Computer Software*

[Read full review](https://www.g2.com/survey_responses/qlik-talend-cloud-review-8121211)

---



### 7. [Rapidi](https://www.g2.com/products/rapidi/reviews)
Rapidi is a no-code data integration platform that connects enterprise resource planning (ERP) and customer relationship management (CRM) systems, enabling organizations to synchronize and manage business data across different software environments. It is designed for IT teams, operations professionals, and businesses that need to automate data exchange between CRM systems such as Microsoft Dynamics 365 Sales, Salesforce, and HubSpot, as well as ERP systems such as Microsoft Dynamics Business Central, Finance, NAV, and AX, and other APIs and databases. The platform solves the challenge of disconnected business systems, which often result in duplicate data entry, inconsistent information, and a lack of real-time visibility across sales, operations, and finance. RAPIDI automates the flow of critical business data such as customer records, sales orders, invoices, and inventory between ERP and CRM systems. This improves data accuracy, reduces manual work, and supports faster and more informed decision-making. Key features and benefits of Rapidi include: Broad Integration Support: Connects leading ERP and CRM systems, with a strong focus on Microsoft Dynamics and Salesforce, as well as other business applications, APIs, and databases. Flexible Deployment: Supports both cloud and hybrid environments, allowing organizations to align integration setups with their technical and security requirements. Automated Data Synchronization: Schedules and runs data transfers automatically to ensure information remains consistent and up to date across connected systems. No-Code Platform: Enables users to configure and manage integrations without custom development, reducing reliance on technical resources and shortening implementation time. Global Availability and Support: Provides remote implementation and support across multiple time zones, helping reduce operational overhead and deployment costs. Typical use cases for Rapidi include automating ERP sales order creation from CRM opportunities or quotes, synchronizing customer and sales data between ERP and CRM systems, and enabling real-time updates for service and finance teams. It is also used to support system migrations from legacy platforms to modern ERP and CRM environments. Rapidi is suitable for organizations that require reliable ERP–CRM integration to streamline operations, improve data quality, and maintain consistent information across business systems.


**Average Rating:** 4.8/5.0
**Total Reviews:** 5
**How Do G2 Users Rate Rapidi?**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10)

**Who Is the Company Behind Rapidi?**

- **Seller:** [Rapidi](https://www.g2.com/sellers/rapidi)
- **Year Founded:** 1992
- **HQ Location:** La Massana, AD
- **Twitter:** @rapidionline (261 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/rapidionline (9 employees on LinkedIn®)
- **Ownership:** Private

**Who Uses This Product?**
- **Company Size:** 80% Mid-Market, 20% Small-Business


#### What Are Rapidi's Pros and Cons?

**Pros:**

- Customer Support (3 reviews)
- Data Integration (3 reviews)
- Connectivity (2 reviews)
- Ease of Use (2 reviews)
- Efficiency (2 reviews)

**Cons:**

- Migration Issues (2 reviews)
- Access Management (1 reviews)
- Data Limitations (1 reviews)
- Lack of Integrations (1 reviews)
- Learning Curve (1 reviews)


### What Do G2 Reviewers Say About Rapidi?
*AI-generated summary from verified user reviews*

**Pros:**

- Users commend Rapidi for their **exceptional customer support** , ensuring seamless integration and reliability throughout their experience.
- Users commend Rapidi for its **no-code integration setup** , making complex data syncing accessible and efficient.
- Users value the **seamless connectivity** of Rapidi, enhancing integration and efficiency across multiple platforms.
- Users find Rapidi's interface to be **user-friendly** , making no-code integrations and setup quick and efficient.
- Users commend Rapidi for its **efficiency** , enabling swift integrations and seamless data management across systems.

**Cons:**

- Users face **migration issues** including scalability limits and vendor lock-in, which complicate transitions between tools.
- Users find the **initial time commitment for data integrity training** can disrupt access management due to sync issues.
- Users note **data limitations** with scalability for high volumes and custom API logic, affecting flexibility and performance.
- Users face **lack of integrations** with Rapidi, limiting flexibility for complex API logic and workflows.
- Users face a significant **learning curve** due to initial time commitments necessary for maintaining data integrity and sync stability.

#### What Are Recent G2 Reviews of Rapidi?

**"[Easy, nocode integration platform](https://www.g2.com/survey_responses/rapidi-review-12363554)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Events Services*

[Read full review](https://www.g2.com/survey_responses/rapidi-review-12363554)

---

**"[Fast, Secure No‑Code HubSpot↔Microsoft Dynamics Sync with Prebuilt Connectors](https://www.g2.com/survey_responses/rapidi-review-12356185)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Wholesale*

[Read full review](https://www.g2.com/survey_responses/rapidi-review-12356185)

---



### 8. [RisingWave](https://www.g2.com/products/risingwave/reviews)
RisingWave is an open-source distributed SQL streaming database designed for the cloud.It is designed to reduce the complexity and cost of building real-time applications. RisingWave consumes streaming data, performs incremental computations when new data comes in, and updates results dynamically. As a database system, RisingWave maintains results in its own storage so that users can access data efficiently. For more details about RisingWave, see https://risingwave.com/.



**Who Is the Company Behind RisingWave?**

- **Seller:** [RisingWave Labs](https://www.g2.com/sellers/risingwave-labs)
- **Year Founded:** 2021
- **HQ Location:** San Francisco, US
- **Twitter:** @RisingWaveLabs (3,173 Twitter followers)
- **LinkedIn® Page:** https://linkedin.com/company/risingwave-labs (46 employees on LinkedIn®)






### 9. [Rocket Databridge](https://www.g2.com/products/rocket-databridge/reviews)
When corporate decision makers need business data, they expect ready-to-use, up-to-date results. That expectation poses an IT challenge in Unisys environments where DMSII databases are non-relational, while business intelligence (BI) tools support databases that are exclusively relational. Databridge (formerly Attachmate Databridge) inspires cooperation between BI and DMSII in your data-driven environment.



**Who Is the Company Behind Rocket Databridge?**

- **Seller:** [Rocket Software](https://www.g2.com/sellers/rocket-software)
- **Year Founded:** 1990
- **HQ Location:** Waltham, MA
- **Twitter:** @Rocket (3,532 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/10127/ (4,347 employees on LinkedIn®)






### 10. [Sagent Data Flow](https://www.g2.com/products/sagent-data-flow/reviews)
Sagent Data Flow is a flexible integration engine that collates data from disparate sources and provides a comprehensive set of data transformation tools to enhance its business value.



**Who Is the Company Behind Sagent Data Flow?**

- **Seller:** [MSPI](https://www.g2.com/sellers/mspi)
- **Year Founded:** 2004
- **HQ Location:** Makati City, PH
- **LinkedIn® Page:** https://www.linkedin.com/company/messaging-solutions-provider-inc./ (23 employees on LinkedIn®)






### 11. [Scitara DLX](https://www.g2.com/products/scitara-dlx/reviews)
Scitara Digital Lab Exchange DLX enables plug-and-play connectivity between any device, instrument, application, informatics system, web service, or lab resource. The vendor-neutral system uses a universal connector infrastructure to facilitate automation of workflows, task notifications, and bi-directional data exchange between multiple endpoints in the lab, connecting legacy and current services, applications, and devices. DLX leverages the power of Scitaras Integration Platform-as-a-Service (iPaaS) for Science, a new vendor-agnostic industry category that makes it easy to support legacy systems and integrate new ones. iPaaS for Science is a flexible and adaptable framework for accessing and sharing scientific data across the enterprise. It supports the concept of a Pharma 4.0 transformation, a fully connected laboratory, and a configurable platform.



**Who Is the Company Behind Scitara DLX?**

- **Seller:** [Scitara](https://www.g2.com/sellers/scitara)
- **Year Founded:** 2019
- **HQ Location:** Marlborough, US
- **Twitter:** @Scitaracorp (50 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/scitara-corporation/ (87 employees on LinkedIn®)






### 12. [Shakudo](https://www.g2.com/products/shakudo/reviews)
Shakudo ensures compatibility across data tools allowing companies to build the best data infrastructure for their needs. With Shakudo you can mix and match your data tooling to create a more reliable, performant, and cost-effective stack than ever before.


**Average Rating:** 4.5/5.0
**Total Reviews:** 2

**Who Is the Company Behind Shakudo?**

- **Seller:** [Shakudo](https://www.g2.com/sellers/shakudo)
- **Year Founded:** 2021
- **HQ Location:** Toronto, CA
- **LinkedIn® Page:** https://ca.linkedin.com/company/shakudo (34 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 50% Mid-Market, 50% Small-Business


#### What Are Shakudo's Pros and Cons?

**Pros:**

- Connectivity (1 reviews)
- Data Access (1 reviews)
- Data Integration (1 reviews)
- Data Management (1 reviews)
- Data Pipelining (1 reviews)

**Cons:**

- Data Management Issues (1 reviews)
- Feature Limitations (1 reviews)
- Lacking Features (1 reviews)
- Lack of Functionality (1 reviews)
- Lack of Tools (1 reviews)


### What Do G2 Reviewers Say About Shakudo?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **excellent connectivity** of Shakudo, enhancing the integration of multiple data tools seamlessly.
- Users value the **flexible data access** Shakudo provides, integrating diverse tools for optimal data management.
- Users value the **effective data integration** capabilities of Shakudo, enhancing the use of diverse data tools seamlessly.
- Users appreciate the **effective data coordination** of Shakudo, maximizing the potential of their diverse data tools.
- Users appreciate Shakudo for its **seamless data pipelining** , effectively coordinating various tools within their data stack.

**Cons:**

- Users find **data management issues** with Shakudo, as complex tasks often require additional external tools for manipulation.
- Users feel the **limited data transformation capability** of Shakudo necessitates using additional tools for complex tasks.
- Users find Shakudo **lacking features** for complex data manipulation, often needing additional tools for effective tasks.
- Users find a **lack of functionality** in Shakudo, requiring additional tools for complex data manipulation tasks.
- Users find a **lack of tools** in Shakudo, leading to reliance on additional tools for complex data manipulation.

#### What Are Recent G2 Reviews of Shakudo?

**"[Designing an efficient infrastructure](https://www.g2.com/survey_responses/shakudo-review-9996719)"**

**Rating:** 4.5/5.0 stars
*— Eliyev E.*

[Read full review](https://www.g2.com/survey_responses/shakudo-review-9996719)

---

**"[P](https://www.g2.com/survey_responses/shakudo-review-9985567)"**

**Rating:** 4.5/5.0 stars
*— Giorgi B.*

[Read full review](https://www.g2.com/survey_responses/shakudo-review-9985567)

---



### 13. [Singer](https://www.g2.com/products/singer/reviews)
Simple, Composable, Open Source ETL



**Who Is the Company Behind Singer?**

- **Seller:** [Singer.io](https://www.g2.com/sellers/singer-io)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 14. [Stambia Enterprise](https://www.g2.com/products/stambia-enterprise/reviews)
Data management is vital for any company wanting to improve its productivity.



**Who Is the Company Behind Stambia Enterprise?**

- **Seller:** [Stambia Enterprise](https://www.g2.com/sellers/stambia-enterprise)
- **Year Founded:** 2011
- **HQ Location:** Phoenix, US
- **LinkedIn® Page:** https://www.linkedin.com/company/semarchy (186 employees on LinkedIn®)






### 15. [StreamAnalytix](https://www.g2.com/products/streamanalytix/reviews)
StreamAnalytix is an enterprise grade, visual, big data analytics platform for unified streaming and batch data processing based on best-of-breed open source technologies. It supports the end-to-end functionality of data ingestion, enrichment, machine learning, action triggers, and visualization. StreamAnalytix offers an intuitive drag-and-drop visual interface to build and operationalize big data applications five to ten times faster, across industries, data formats, and use cases.



**Who Is the Company Behind StreamAnalytix?**

- **Seller:** [Impetus Technologies](https://www.g2.com/sellers/impetus-technologies)
- **Year Founded:** 1996
- **HQ Location:** Los Gatos, California, United States
- **Twitter:** @impetustech (1,596 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/164331 (4,324 employees on LinkedIn®)






### 16. [Striim](https://www.g2.com/products/striim/reviews)
Power your operations and decision-making with real-time data. Striim is the only supplier of unified, real-time data streaming and integration for analytics and operations in the Digital Economy. Striim Platform and Striim Cloud make it easy to continuously ingest, process, and deliver high volumes of real-time data from diverse sources (both on-premises or in the cloud) to support multi- and hybrid cloud infrastructure. Striim collects data in real-time from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors and delivers it to virtually any target on-premises or in the cloud with sub-second latency, enabling real-time operations and analytics. Available as a fully managed service on AWS, Google Cloud, and Microsoft Azure.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1

**Who Is the Company Behind Striim?**

- **Seller:** [Striim](https://www.g2.com/sellers/striim)
- **Year Founded:** 2012
- **HQ Location:** Palo Alto, California, United States
- **Twitter:** @striimteam (1,300 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/striim/ (233 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Enterprise



#### What Are Recent G2 Reviews of Striim?

**"[Striim to move data to cloud](https://www.g2.com/survey_responses/striim-review-2748842)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Environmental Services*

[Read full review](https://www.g2.com/survey_responses/striim-review-2748842)

---


#### What Are G2 Users Discussing About Striim?

- [What is Striim used for?](https://www.g2.com/discussions/what-is-striim-used-for)

### 17. [Supaflow ETL Platform](https://www.g2.com/products/supaflow-etl-platform/reviews)
Supaflow is a no-code ETL platform for data ingestion, dbt Core transformations, orchestration, and reverse ETL (activations). Ingest from every SaaS app and database Connect Salesforce, HubSpot, NetSuite, Oracle, Postgres, MySQL, SAP Hana, Snowflake, BigQuery, Redshift, Salesforce Marketing Cloud, Google Ads, and more in minutes with historical and incremental sync, automatic schema drift detection, and checksum validation. Pipelines run on Snowflake compute, so your data never leaves your account. Transform with dbt Core Author, version, and run dbt Core models directly alongside your pipelines -- no separate orchestration layer required. Activate curated data via Reverse ETL Push enriched Snowflake tables back into CRM, ads, and GTM tools with field mapping, audience previews, and automatic retry logic. Orchestrate and monitor end-to-end Coordinate ingestion, transformation, and activation with built-in scheduling, pause/resume controls, real-time run telemetry, row counts, lineage, and alerts. Secure by design Asymmetric encryption keeps credentials sealed end-to-end. The data plane stays entirely in your cloud environment—PHI and PII never leave your control. Transparent, usage-based pricing You pay only for the credits consumed. No MAR, no surprise bills. Many teams report slashing ingestion costs by up to 80% compared to per-row pricing. "Stop paying per row." View the Supaflow Product Showcase https://www.supa-flow.io/product/demo



**Who Is the Company Behind Supaflow ETL Platform?**

- **Seller:** [Supaflow](https://www.g2.com/sellers/supaflow)
- **Year Founded:** 2025
- **HQ Location:** Fremont, US
- **Twitter:** @SupaflowM
- **LinkedIn® Page:** https://www.linkedin.com/company/supa-flow/ (2 employees on LinkedIn®)






### 18. [Syniti Knowledge Platform](https://www.g2.com/products/syniti-syniti-knowledge-platform/reviews)
A comprehensive enterprise data management solution designed to handle various data initiatives, the Syniti Knowledge Platform (SKP) integrates capabilities for data migration, quality, governance, and master data management into one unified platform. SKP aims to deliver trustworthy, optimized, and actionable data across businesses, ensuring successful digital transformations with minimal disruption. Able to support the most complex migrations, such as transitioning to SAP S/4HANA, SKP’s unified data management capabilities drive better business outcomes. SKP is an essential tool for enterprises looking to manage their data effectively and leverage it for strategic advantage. Its comprehensive features and benefits make it a valuable asset for any business aiming to improve data quality, governance, and overall management. SKP helps businesses achieve successful digital transformations with minimal disruption.


**Average Rating:** 4.2/5.0
**Total Reviews:** 14
**How Do G2 Users Rate Syniti Knowledge Platform?**

- **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 9.1/10)

**Who Is the Company Behind Syniti Knowledge Platform?**

- **Seller:** [Syniti](https://www.g2.com/sellers/syniti)
- **Year Founded:** 1996
- **HQ Location:** Needham, MA
- **LinkedIn® Page:** https://www.linkedin.com/company/backoffice-associates (391 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 71% Enterprise, 43% Mid-Market



#### What Are Recent G2 Reviews of Syniti Knowledge Platform?

**"[A perfect platform for Knowledge & Data Management](https://www.g2.com/survey_responses/syniti-knowledge-platform-review-7388793)"**

**Rating:** 4.5/5.0 stars
*— Sajjad S.*

[Read full review](https://www.g2.com/survey_responses/syniti-knowledge-platform-review-7388793)

---

**"[Best Data Management and Analyzing Software](https://www.g2.com/survey_responses/syniti-knowledge-platform-review-7427689)"**

**Rating:** 4.5/5.0 stars
*— Suraj N.*

[Read full review](https://www.g2.com/survey_responses/syniti-knowledge-platform-review-7427689)

---



### 19. [Teknete](https://www.g2.com/products/teknete/reviews)
Teknete is an AI-augmented, low-code ETL & data automation platform designed for modern data teams that need reliable, scalable, and adaptive data pipelines—without heavy engineering overhead. In today’s data landscape, traditional ETL tools struggle to keep up with dynamic data sources, frequent schema changes, and the demand for rapid delivery. Teknete solves these challenges by combining advanced AI-assisted data mapping, schema drift detection, and low-code pipeline design into a single unified platform. With Teknete, teams can: Build and deploy ETL pipelines faster using an intuitive low-code visual interface Automate schema discovery and transformations with AI assistance Reduce maintenance overhead thanks to proactive change detection and intelligent validation Support structured and unstructured sources, including databases, APIs, SaaS apps, files, and event streams Scale data workflows with confidence, powering analytics, reporting, and operational systems Enable cross-functional teams (data engineers, analysts, architects) to collaborate efficiently Teknete is ideal for enterprises and mid-market adopters that: Want to reduce the time and cost of ETL development Are tired of brittle pipelines that break with every source change Need a unified platform that supports both developer productivity and business agility Whether you’re modernizing legacy ETL, building next-gen data pipelines, or accelerating analytics delivery, Teknete streamlines data workflows so teams can focus on insights—rather than fixing pipelines.



**Who Is the Company Behind Teknete?**

- **Seller:** [Teknete](https://www.g2.com/sellers/teknete)
- **Year Founded:** 2025
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/teknete/ (2 employees on LinkedIn®)






### 20. [Tugger](https://www.g2.com/products/tugger/reviews)
Tugger is the AI-powered data platform that connects your business systems to the analytics and AI tools you want to use. Most businesses are sitting on a goldmine of data locked inside the platforms they use every day - job management systems, accounting software, CRM tools, and more. Getting that data out, combining it, and turning it into real answers has traditionally meant expensive developers, complex API work, and months of setup. Tugger changes that. How it works Tugger connects to your business platforms - Simpro, Xero, HubSpot, QuickBooks, and more - and automatically pulls your data into a secure, managed cloud data warehouse. No coding. No API configuration. No data warehouse setup required. We handle all of that so you don't have to. Once your data is in the warehouse, you've got two powerful ways to get answers. Ask your data anything Connect your Tugger warehouse to Claude, ChatGPT, or Gemini via our built-in MCP server and ask questions in plain English. No SQL. No formulas. No waiting for someone to build a report. Just type a question and get a real, data-backed answer in seconds. Ask things like "which jobs made money last month?" or "what's my quote conversion rate by salesperson?" - instantly, across all your connected systems at once. Power BI and Tableau dashboards For teams that want visual dashboards, Tugger connects directly to Power BI and Tableau. Pre-built report templates for the most popular connectors mean you can hit the ground running without building everything from scratch. Who uses Tugger Field service businesses use Tugger to track job profitability, technician utilisation, and quote conversion. Finance teams use it to get instant answers from Xero and QuickBooks without manual exports. Sales teams connect HubSpot for pipeline visibility and performance reporting. Accountancy practices use it to give clients self-serve access to their own data across multiple entities. Why customers choose Tugger Simple to set up - most customers are up and running in minutes, not months. Secure by design - ISO 27001 aligned, built on Microsoft Azure, with enterprise-grade data storage included in every plan. No contracts, transparent pricing, and a support team customers consistently describe as outstanding.


**Average Rating:** 4.8/5.0
**Total Reviews:** 5
**How Do G2 Users Rate Tugger?**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10)

**Who Is the Company Behind Tugger?**

- **Seller:** [Tugger](https://www.g2.com/sellers/tugger)
- **Year Founded:** 2021
- **HQ Location:** Bollington, GB
- **Twitter:** @TuggerApp (845 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/tuggerapp (13 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 60% Small-Business, 40% Mid-Market


#### What Are Tugger's Pros and Cons?

**Pros:**

- Customer Support (4 reviews)
- Accessibility (2 reviews)
- Data Analysis (2 reviews)
- Ease of Use (2 reviews)
- Features (2 reviews)



### What Do G2 Reviewers Say About Tugger?
*AI-generated summary from verified user reviews*

**Pros:**

- Users praise Tugger's **exceptional customer support** , highlighting their swift responses and in-depth assistance with reports and setup.
- Users value Tugger's **easy accessibility** , making data extraction and reporting straightforward and efficient for everyone.
- Users value Tugger's **expertise in data analysis** , enhancing BI reporting and making complex data easy to understand.
- Users find Tugger's **ease of use** enhances their data reporting experience with simple connections and effective templates.
- Users value Tugger's **ease of use and excellent support** , especially for integrating with Power BI and Harvest.


#### What Are Recent G2 Reviews of Tugger?

**"[Fantastic company dedicated to getting the best from your data.](https://www.g2.com/survey_responses/tugger-review-10367214)"**

**Rating:** 5.0/5.0 stars
*— Rebecca R.*

[Read full review](https://www.g2.com/survey_responses/tugger-review-10367214)

---

**"[Easy Setup and Excellent Support That Delivers](https://www.g2.com/survey_responses/tugger-review-12701688)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Electrical/Electronic Manufacturing*

[Read full review](https://www.g2.com/survey_responses/tugger-review-12701688)

---



### 21. [UnifyApps](https://www.g2.com/products/unifyapps/reviews)
UnifyApps is the Horizontal AI Operating System — the Fourth Platform. It does the 80% of Enterprise AI that has nothing to do with the model: unifying knowledge, governance, and actionability across every system into one Enterprise Brain (an enterprise context graph), then letting teams assemble reusable workflows, agents, and apps — human + AI — on top. Open and model-agnostic, additive to the existing stack with 950+ connectors, UnifyApps takes enterprises from pilot to production up to 10x faster, 10x cheaper, and 10x easier to maintain — without rip-and-replace or lock-in to any model, vendor, or roadmap.


**Average Rating:** 4.2/5.0
**Total Reviews:** 3
**How Do G2 Users Rate UnifyApps?**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10)

**Who Is the Company Behind UnifyApps?**

- **Seller:** [UnifyApps](https://www.g2.com/sellers/unifyapps)
- **Company Website:** https://www.unifyapps.com
- **Year Founded:** 2023
- **HQ Location:** New York , US
- **LinkedIn® Page:** https://www.linkedin.com/company/unifyapps (177 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 67% Mid-Market, 33% Small-Business


#### What Are UnifyApps's Pros and Cons?

**Pros:**

- Ease of Use (3 reviews)
- Simple (2 reviews)
- User Interface (2 reviews)
- Automation (1 reviews)
- Automation Efficiency (1 reviews)

**Cons:**

- Learning Curve (2 reviews)
- Automation Issues (1 reviews)
- Feature Issues (1 reviews)
- Insufficient Examples (1 reviews)
- Insufficient Training (1 reviews)


### What Do G2 Reviewers Say About UnifyApps?
*AI-generated summary from verified user reviews*

**Pros:**

- Users find UnifyApps to have a **user-friendly interface** , simplifying integrations and enhancing overall productivity significantly.
- Users praise the **simplicity** of UnifyApps, making integrations easy and enhancing productivity effortlessly.
- Users love the **clean and intuitive user interface** of UnifyApps, which simplifies workflows and boosts productivity.
- Users value the **automation features** of UnifyApps, which significantly save time and enhance productivity.
- Users appreciate the **automation efficiency** of UnifyApps, significantly saving time and enhancing productivity across workflows.

**Cons:**

- Users find the **learning curve challenging** for complex automation flows, particularly those lacking prior integration experience.
- The **learning curve for automation flows** in UnifyApps can be steep for users lacking integration experience.
- Users feel UnifyApps has a **lack of features** , suggesting the need for a wider range of tools for daily tasks.
- Users note the **insufficient examples** provided, making it challenging to fully understand the platform's capabilities.
- Users find the **insufficient training** on automation flows challenging, particularly for those without prior integration experience.

#### What Are Recent G2 Reviews of UnifyApps?

**"[Effortless Integrations Made Simple with UnifyApps](https://www.g2.com/survey_responses/unifyapps-review-11977092)"**

**Rating:** 4.5/5.0 stars
*— Gajendra Singh R.*

[Read full review](https://www.g2.com/survey_responses/unifyapps-review-11977092)

---

**"[Great No-Code Platform for Workflow Automation](https://www.g2.com/survey_responses/unifyapps-review-11983358)"**

**Rating:** 4.5/5.0 stars
*— Pratibha M.*

[Read full review](https://www.g2.com/survey_responses/unifyapps-review-11983358)

---



### 22. [Vise Data Migration Workbench (DMW)](https://www.g2.com/products/vise-data-migration-workbench-dmw/reviews)
Revolutionize Your Data Management Experience



**Who Is the Company Behind Vise Data Migration Workbench (DMW)?**

- **Seller:** [Visehub](https://www.g2.com/sellers/visehub)
- **HQ Location:** Suchy Las, PL
- **LinkedIn® Page:** https://www.linkedin.com/company/visehub (15 employees on LinkedIn®)






### 23. [xSkrape for SQL Server](https://www.g2.com/products/xskrape-for-sql-server/reviews)
We Build Powerful Data Integration Tools



**Who Is the Company Behind xSkrape for SQL Server?**

- **Seller:** [XSkrape Team](https://www.g2.com/sellers/xskrape-team)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 24. [Zendesk SSIS Components by Devart](https://www.g2.com/products/zendesk-ssis-components-by-devart/reviews)
Devart SSIS Data Flow Components for Zendesk allow you to integrate Zendesk data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized Zendesk Source, Zendesk Destination, and Zendesk Lookup components and provide their own Zendesk Connection Manager with lots of Zendesk-specific connectivity features. - Export data from Zendesk to various sources - Import XML, CSV, and other files to Zendesk - Automate Zendesk integration via SSIS Data Flow tasks - Migrate from/to Zendesk using SSIS - Synchronize Zendesk with SQL Server or other data sources - Integrate various data sources with Zendesk via SSIS



**Who Is the Company Behind Zendesk SSIS Components by Devart?**

- **Seller:** [Devart](https://www.g2.com/sellers/devart)
- **Year Founded:** 1997
- **HQ Location:** Wilmington, Delaware, USA
- **Twitter:** @DevartSoftware (1,736 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/800325/ (252 employees on LinkedIn®)






### 25. [Zuar Runner](https://www.g2.com/products/zuar-runner/reviews)
Utilizing the data that's spread across your organization shouldn't be so difficult! With Zuar Runner you can automate the flow of data from hundreds of potential sources into a single destination. Collect, transform, model, warehouse, report, monitor and distribute: it's all managed by Zuar Runner.



**Who Is the Company Behind Zuar Runner?**

- **Seller:** [Zuar](https://www.g2.com/sellers/zuar)
- **Year Founded:** 2015
- **HQ Location:** Austin, US
- **Twitter:** @weareZuar (242 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/zuar/ (22 employees on LinkedIn®)







## What Is ETL Tools?

[Cloud Data Integration Software](https://www.g2.com/categories/cloud-data-integration)

## What Software Categories Are Similar to ETL Tools?

- [iPaaS Software](https://www.g2.com/categories/ipaas)
- [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms)
- [Data Extraction Tools](https://www.g2.com/categories/data-extraction-tools)


---

## How Do You Choose the Right ETL Tools?

### What You Should Know About ETL Tools

### ETL software buying insights at a glance

Organizations today manage data across multiple applications, databases, and cloud environments. [ETL tools](https://www.g2.com/categories/etl-tools) help teams extract, transform, and load that data into centralized systems where it can be analyzed and used for reporting or operational decision-making. As companies adopt [cloud data warehouses](https://www.g2.com/categories/data-warehouse) and modern analytics stacks, these solutions play an important role in keeping data pipelines reliable and consistent. 

The best ETL tools help organizations reduce manual scripting, maintain consistent data pipelines, and support large volumes of data across multiple integrations. As data environments grow more complex, ETL providers increasingly focus on simplifying integrations and enabling faster access to analytics-ready data.

Common use cases focus on simplifying how data moves and gets prepared across systems. Teams use these tools to automate pipelines between SaaS apps, databases, and warehouses, consolidate data for unified reporting, and transform raw inputs into analytics-ready datasets for [BI tools](https://www.g2.com/categories/business-intelligence). They also help maintain consistent, reliable data flows across distributed environments, supporting cloud data warehouses and modern analytics platforms.

Pricing varies across the category depending on the number of integrations, pipeline volume, and transformation complexity. Many vendors use usage-based pricing models tied to data volume or connectors. Entry-level plans often support smaller teams or limited pipelines, while enterprise deployments add advanced monitoring, governance, and scalability capabilities.

### Top 5 FAQs from software buyers

- How do ETL tools support modern data stacks and cloud-based data architectures?
- How well do ETL platforms integrate with cloud data warehouses like BigQuery, Snowflake, or Redshift?
- Which ETL tools simplify pipeline management and reduce maintenance overhead for data teams?
- What level of scalability and performance do ETL solutions provide for large-scale data pipelines?
- Which ETL providers offer the broadest integration support across SaaS applications, databases, and APIs?

G2’s top-rated ETL tools, based on verified reviews, include [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews), [Databricks](https://www.g2.com/products/databricks/reviews), [Domo](https://www.g2.com/products/domo/reviews), [Workato](https://www.g2.com/products/workato/reviews), and [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews).

### What are the top-reviewed ETL Tools on G2?

[**Google Cloud BigQuery**](https://www.g2.com/products/google-cloud-bigquery/reviews)

- Number of Reviews: 324
- Satisfaction: 98
- Market Score: 99
- G2 Score: 98

[**Databricks**](https://www.g2.com/products/databricks/reviews)

- Number of Reviews: 279
- Satisfaction: 100
- Market Score: 81
- G2 Score: 90

[**Domo**](https://www.g2.com/products/domo/reviews)

- Number of Reviews: 380
- Satisfaction: 88
- Market Score: 73
- G2 Score: 80

[**Workato**](https://www.g2.com/products/workato/reviews)

- Number of Reviews: 224
- Satisfaction: 94
- Market Score: 62
- G2 Score: 78

[**SnapLogic Intelligent Integration Platform (IIP)**](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews)

- Number of Reviews: 172
- Satisfaction: 94
- Market Score: 60
- G2 Score: 77

**Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports))

**Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports))

**G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports))

Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..))

### What I Often See in ETL Tools

#### Feedback Pros: What Users Consistently Appreciate

• **Visual pipeline builders simplify complex multi-source data integrations**

_“I love how the SnapLogic Intelligent Integration Platform (IIP) makes building integrations so easy with its AI-powered and low-code interface, which significantly streamlines design and maintenance for both technical and non-technical users. This platform guides the pipeline design and reduces the manual effort, aligning with its AI-driven workflow approach, and it has been instrumental in helping me automate workflows, improve data flow efficiency, and reduce the integration effort significantly. The initial setup was very easy because it's a cloud-based, self-service platform that minimizes installation effort and helps teams get started quickly. I highly recommend SnapLogic IIP for organizations looking to modernize and accelerate their integration strategy, and I would rate it a 9 for its ease of use.”_

- [Sanket N.](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews/snaplogic-intelligent-integration-platform-iip-review-12380685), SnapLogic Intelligent Integration Platform (IIP) review

• **Extensive connectors enable fast integration across SaaS and databases**

_“We use this every day as a vital part of an integration between our website and database. Easy to use with a number of different integrations available at your fingertips. Assistance was always an email away.”_

- [Nick E.](https://www.g2.com/products/skyvia/reviews/skyvia-review-12443772), Skyvia review

• **Automation capabilities reduce manual pipeline maintenance and data preparation**

_“Workato is an excellent tool for automating tasks and improving processes. What I find truly impressive is that we no longer have to rely on our ERP vendor for new features or automations; instead, we can handle everything ourselves using Workato. Personally, I have implemented numerous enhancements that have greatly benefited the Finance team, resulting in an estimated annual savings of around 1,000 hours. Also tool is so easy to use that you do not need to have any technical knowledge.”_

- [Manvitha K.](https://www.g2.com/products/workato/reviews/workato-review-12106615), Workato review

#### Cons: Where Many Platforms Fall Short

• **Advanced transformations require deeper technical knowledge and configuration**

_“Some advanced use cases require a deeper technical understanding, especially when building custom flows, handling edge cases, or working with complex APIs. The UI can feel overwhelming for new users, and debugging large integrations could be improved with more developer-style tooling. Pricing can also be a consideration for smaller organizations compared to lightweight automation tools.”_

- [Nuri Vladimir E.](https://www.g2.com/products/celigo/reviews/celigo-review-12356472), Celigo review

• **Limited debugging visibility when pipelines fail during complex workloads**

_“Debugging and troubleshooting pipelines can sometimes be difficult. Error messages are not always very detailed, which can slow down the process of identifying issues. The UI is helpful, but complex pipelines can become harder to manage and visualize as they grow. Additionally, monitoring and cost tracking for large workloads requires careful attention, as pipeline executions and data movement activities can accumulate costs quickly.”_

- [Alan R.](https://www.g2.com/products/azure-data-factory/reviews/azure-data-factory-review-12454264), Azure Data Factory

• **Scaling integrations or data volume increases operational management complexity**

_“The pricing model can become expensive for large-scale queries without proper optimization and cost monitoring. The learning curve for advanced features and query optimization techniques requires time investment. Limited support for certain data types and occasional complexity in debugging nested queries could be improved for a better developer experience.”_

- [Alok K.](https://www.g2.com/products/google-cloud-bigquery/reviews/google-cloud-bigquery-review-12237841), Google Cloud BigQuery review

### My Expert Takeaway on ETL Tools in 2026

Looking across the review data, ETL solutions receive consistently strong sentiment, with an average rating of **4.61/5 stars and a 9.22/10 likelihood to recommend**. That tells me most teams see clear value once their pipelines are operational. ETL tools have quietly become core infrastructure for modern data environments, especially as organizations connect more SaaS applications, warehouses, and analytics systems.

What I notice most in the reviews is that teams rarely evaluate ETL platforms only on integrations. Instead, reliability and automation come up repeatedly. Users want pipelines that run consistently without constant monitoring or manual fixes. When pipelines break or debugging becomes difficult, it quickly impacts reporting workflows and downstream analytics.

Another pattern I see is that successful teams treat ETL software as shared infrastructure rather than an isolated engineering tool. Data engineers may design pipelines, but analysts and operations teams often rely on them daily. Platforms that simplify pipeline visibility, monitoring, and maintenance tend to make collaboration easier across teams.

Industry usage patterns also suggest that organizations with growing data environments benefit the most from mature ETL workflows. For buyers evaluating the best ETL tools, the biggest differentiator often comes down to how well a platform keeps pipelines stable and manageable as data complexity grows.

### ETL Tools FAQs

#### What are the best free ETL tools for developers?

Many platforms offer open-source components, limited free tiers, or trial versions that developers use to build and test pipelines.

Common options include:

- [dbt](https://www.g2.com/products/dbt/reviews) **:** An open-source framework used by data teams to transform and model data directly inside data warehouses.
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Offers a limited free usage tier that allows developers to run queries and build data pipelines at small scale.
- [AWS Glue](https://www.g2.com/products/aws-glue/reviews): A serverless data integration service commonly used for large-scale pipelines, typically accessed through free trial credits or limited testing environments.

Developers often use these tools to prototype data pipelines before scaling to production workloads.

#### What are the best no-code or low-code ETL tools?

No-code and low-code ETL tools simplify pipeline creation through visual workflows and prebuilt integrations.

Examples include:

- [Workato](https://www.g2.com/products/workato/reviews): Known for its automation platform and extensive connector ecosystem that simplifies integration workflows.
- [SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews): Uses a visual interface and prebuilt connectors to help teams design data pipelines without heavy coding.
- [Alteryx](https://www.g2.com/products/alteryx/reviews): Offers a drag-and-drop workflow builder designed for analysts working with data preparation and transformation.

These platforms allow data teams to manage pipelines without relying heavily on engineering resources.

#### Which ETL services offer strong security features?

Organizations handling sensitive data often prioritize ETL tools that offer strong governance, access controls, and compliance capabilities.

Platforms commonly used in secure environments include:

- [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews): Integrates with Microsoft’s identity and security framework for controlled data pipelines.
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Supports secure data processing with built-in encryption and governance capabilities.
- [AWS Glue](https://www.g2.com/products/aws-glue/reviews): Provides role-based access controls and integration with AWS security services.

These platforms help organizations maintain secure data movement across complex environments.

#### What’s the leading ETL app for big data analysis?

For large-scale analytics workloads, organizations often use ETL tools that integrate directly with modern data platforms.

Common choices include:

- [Databricks](https://www.g2.com/products/databricks/reviews): Designed for large-scale data engineering, analytics, and machine learning pipelines.
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Enables large-scale data processing and analytics within a cloud data warehouse environment.
- [Fivetran](https://www.g2.com/products/fivetran/reviews): Automates high-volume data ingestion into cloud warehouses for analytics and reporting.

These platforms support large datasets and complex transformation workflows.

#### What are the different types of ETL tools?

ETL tools generally fall into four categories:

- **Open-source ETL tools** : Flexible frameworks for custom pipeline development.
- **Cloud-based ETL platforms** : Managed services that automate data pipelines.
- **No-code or low-code ETL tools** : Visual workflow tools for non-engineering teams.
- **Enterprise ETL solutions** : Platforms built for governance, monitoring, and large-scale data environments.

Each category supports different technical needs and levels of pipeline complexity.

#### Sources

- [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw)
- [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports)

Researched By: [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)

Last updated on March 16, 2026