Best ETL Tools - Page 10

How Many ETL Tools Products Does G2 Track?

Total Products under this Category: 275

Category Stats (Sep 2026)

  • Average Rating: 4.55/5 (↑0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cloudera (+2.21%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank ETL Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 19,500+ Authentic Reviews
  • 275+ 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, Celigo, Alteryx, Google Cloud BigQuery, FME Platform, Domo, Fivetran, and IBM watsonx.data.

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

Datagaps DataOps Suite

Founded in 2010, Datagaps is a US-based enterprise software company headquartered in Herndon,VA. Datagaps is the only vendor recognized by Gartner in BOTH the DataOps Tools market guide AND the Data Observability market guide — a distinction no other data testing platform holds. WHAT WE DO Datagaps makes data trustworthy across the entire pipeline — from data ingestion and ETL/ELT transformations, through data quality monitoring, to BI dashboard validation and AI model input testing — on a single, unified DataOps Suite platform. THE PROBLEM WE SOLVE Enterprise data teams lose an average of $15M annually to poor data quality (Source: Gartner). 70% of data migration failures surface post go-live. 59% of organizations cannot quantify their own BI consistency gap. Datagaps eliminates these risks with automated, end-to-end validation that detects issues before they reach production. HOW WE'RE DIFFERENT Unlike point tools that test one stage, Datagaps covers every layer — ETL pipelines, data quality and consistency, semantic validation, BI dashboards, and AI/ML inputs — from a single platform with shared rules, one audit trail, and one vendor. Agentic AI auto-generates tests, self-heals schema drift, summarizes report differences, and recommends smart quality rules. OUTCOMES DELIVERED 500B+ Records validated across ETL & cloud pipelines 10M+ Automated test cases run with zero manual scripting 80% Faster test cycles vs. manual testing approach 60% Reduction in data errors detected before production 70% Reduction in ETL validation spend 200+ Native data source connectors Trusted by 100+ enterprise customers across Financial Services, Healthcare, Life Sciences, FMCG, Retail, Higher Education PRODUCTS AND PLATFORM • DataOps Suite — Unified platform for end to end data validation and analytics testing powered by Agentic AI • ETL Validator — Automated ETL/ELT testing with Agentic AI; 200+ native connectors • BI Validator — Automated BI report validation for Power BI, Tableau, Oracle Analytics • Data Quality Monitor — Proactive data quality with Agentic AI: Predict, Prevent, Govern • Test Data Manager — Compliant and realistic test data generation with Agentic AI TECHNICAL CREDENTIALS SOC 2 Type II | US Patent (ELV architecture) | Informatica Certified | Embedded LLM (data stays in your environment) | Gartner DataOps Tools Guide | Gartner Data Observability Guide INTEGRATIONS 200+ Snowflake, Databricks, Azure Synapse, Amazon Redshift, Google BigQuery, Salesforce, Microsoft Power BI, Tableau, Oracle Analytics, Informatica, Talend, SSIS, dbt

Average Rating: 4.5/5.0

Total Reviews: 9

How Do G2 Users Rate Datagaps DataOps Suite?

  • Has the product been a good partner in doing business?: 9.6/10 (Category avg: 9.1/10)
  • Automation: 9.4/10 (Category avg: 9.0/10)
  • Scalability: 9.2/10 (Category avg: 8.7/10)
  • Auditing: 9.2/10 (Category avg: 8.1/10)

Who Is the Company Behind Datagaps DataOps Suite?

  • Seller: Datagaps
  • Year Founded: 2010
  • HQ Location: Herndon, US
  • Twitter: @datagaps
    49 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    123 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 70% Large, 20% Small

What Do G2 Reviewers Say About Datagaps DataOps Suite?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use and implementation of Datagaps DataOps Suite, making it accessible for all experience levels.
  • Users appreciate the automation capabilities of Datagaps DataOps Suite, enhancing data quality and operational efficiency.
  • Users value the improved data quality from Datagaps DataOps Suite, enhancing analytics and supporting data-driven decisions.
  • Users value the easy integrations in Datagaps DataOps Suite, enhancing flexibility and streamlining data processing across platforms.
  • Users appreciate the extensive features of Datagaps DataOps Suite, enhancing flexibility and ease of use in data management.
Cons
  • Users find the initial setup complex, which can be time-consuming, but value the ongoing benefits after configuration.
  • Users face dependency issues as the lack of automated job cleanup complicates workflow efficiency and data management.
  • Users find the difficult setup process of Datagaps DataOps Suite time-consuming, despite its effective performance afterwards.
  • Users find the lack of automation frustrating, requiring manual cleanup of long-running jobs, impacting efficiency.
  • Users face a significant learning curve when transitioning to DataOps, especially with the shift from manual to automated processes.

What Are Recent G2 Reviews of Datagaps DataOps Suite?

DBSync Cloud Replication

The easiest way to move your data—without the hassle. DBSync is a zero-maintenance data replication and ELT platform designed for data engineers who want to move fast—without dealing with complex setups. DBSync’s intuitive, no-code automation lets you replicate, synchronize, and consolidate data from applications and databases to warehouses, lakes, and analytics platforms in just a few clicks. With DBSync, your data flows are effortless, consistent, and automated—so you can focus on insights, not infrastructure.

Average Rating: 4.4/5.0

Total Reviews: 17

How Do G2 Users Rate DBSync Cloud Replication?

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

Who Is the Company Behind DBSync Cloud Replication?

  • Seller: DBSync
  • Year Founded: 2009
  • HQ Location: Brentwood, TN
  • Twitter: @dbsync
    385 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    118 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 41% Medium, 35% Large

What Do G2 Reviewers Say About DBSync Cloud Replication?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of DBSync Cloud Replication, noting its user-friendly interface and simple setup.
  • Users appreciate the user-friendly interface of DBSync Cloud Replication, noting its simple setup and effective database support.
  • Users value the cloud integration capabilities of DBSync Cloud Replication, simplifying data replication between platforms like Salesforce and MS SQL.
  • Users appreciate the simple and easy setup of DBSync Cloud Replication, enabling efficient multi-database and real-time data management.
  • Users admire the simple and easy setup of DBSync Cloud Replication, enhancing their experience with multiple databases.
Cons
  • Users find the lack of visible user information in the logs cumbersome and inconvenient for tracking commands.
  • Users face information deficiency as the command executor is not visible in the logs tab, complicating checks.
  • Users note the lack of detail in logs, finding it difficult to identify the command executor easily.
  • Users find the logging issues inconvenient, as it’s hard to trace who executed commands in the logs.
  • Users find poor reporting in DBSync Cloud Replication, as command executors are not identifiable in logs.

What Are Recent G2 Reviews of DBSync Cloud Replication?

What Are G2 Users Discussing About DBSync Cloud Replication?

Megaladata

The low code Megaladata platform empowers business users by making advanced analytics accessible. - Visual design of complex data analysis models with no involvement of the IT department and no need for programming. - Over 60 ready-to-use processing components. - Easy integration with various sources. - Fast processing of large datasets achieved through in-memory computing and parallelism. - Reusable components that facilitate accumulation of business expertise. - Advanced visualization — OLAP cubes, tables, charts, and other specialized tools. Megaladata minimizes the time between hypothesis testing and a fully functional business process.

Average Rating: 4.9/5.0

Total Reviews: 9

How Do G2 Users Rate Megaladata?

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

Who Is the Company Behind Megaladata?

  • Seller: Megaladata
  • HQ Location: Neu-Isenburg, DE
  • Twitter: @megaladata_com
    5 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 89% Small, 11% Medium

What Are Recent G2 Reviews of Megaladata?

Prequel

Use Prequel to launch data sharing as soon as tomorrow. Connect to 20+ data platforms, including BigQuery, Snowflake, Athena, Redshift, and Postgres. Software companies like Zuora, Gong, and LogRocket use Prequel to share data with their customers. Unlike APIs, Prequel’s platform creates direct connections between data platforms. Customers get better data access, with less engineering effort.

Average Rating: 4.9/5.0

Total Reviews: 4

How Do G2 Users Rate Prequel?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 9.1/10)
  • Automation: 10.0/10 (Category avg: 9.0/10)
  • Scalability: 10.0/10 (Category avg: 8.7/10)
  • Auditing: 8.9/10 (Category avg: 8.1/10)

Who Is the Company Behind Prequel?

  • Seller: Prequel
  • Year Founded: 2021
  • HQ Location: New York, US
  • Twitter: @prequel_co
    110 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Do G2 Reviewers Say About Prequel?

AI-generated summary from verified user reviews

Pros
  • Users praise the top-tier customer support, enhancing their overall experience with Prequel's seamless functionality.
  • Users find Prequel incredibly easy to use, noting quick setup and a seamless, effective experience.
  • Users find the setup process very easy, appreciating the quick initiation and modern interface of Prequel.
  • Users appreciate the time-saving features of Prequel, enabling easy data export and quick initial setup.
  • Users appreciate the modern and clean UI of Prequel, highlighting its ease of use and efficiency.

What Are Recent G2 Reviews of Prequel?

360Science

360Science is designed to resolve complex contact data quality issues.It includes a robust Data Matching Engine to handle matching, merging and suppression tasks. The built in ETL parsing engine Identifies, extracts, and transforms data ensuring even the most inconsistent data entries are properly cleansed.

Average Rating: 4.0/5.0

Total Reviews: 3

How Do G2 Users Rate 360Science?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 9.1/10)
  • Automation: 8.3/10 (Category avg: 9.0/10)
  • Scalability: 8.3/10 (Category avg: 8.7/10)
  • Auditing: 8.3/10 (Category avg: 8.1/10)

Who Is the Company Behind 360Science?

  • Seller: 360Science
  • Year Founded: 2002
  • HQ Location: Needham Heights, Massachusetts, United States
  • Twitter: @360ScienceHQ
    182 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,593 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Medium, 33% Large

What Are Recent G2 Reviews of 360Science?

Angles Enterprise for Oracle

Angles for Oracle is a process analytics engine for Oracle Business Applications, designed to help enterprises evaluate and measure actionable insights and streamline reporting using pre-built content and multiple no-code business views. The platform enables professionals to collect data from different sources such as E-Business Suite and Oracle Cloud Applications and conduct ad hoc analysis on transactional details. End-users can modify business views and securely access BI content. Team members can use the collaborative portal to search report catalogs, customize existing views, generate BI tool templates, and deploy views to the database. It offers integration with various third-party applications such as Microsoft PowerBI and Azure, Tableau, Oracle BI tools, Snowflake, and more. Transform the critical data in your Oracle ERP applications into actionable insights with Angles for Oracle from insightsoftware. Give the power of operational analytics and business intelligence (BI) to the people who need it most—your business users..

Average Rating: 4.2/5.0

Total Reviews: 5

How Do G2 Users Rate Angles Enterprise for Oracle?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.1/10)
  • Automation: 9.2/10 (Category avg: 9.0/10)
  • Scalability: 8.3/10 (Category avg: 8.7/10)
  • Auditing: 9.2/10 (Category avg: 8.1/10)

Who Is the Company Behind Angles Enterprise for Oracle?

  • Seller: insightsoftware
  • Year Founded: 2018
  • HQ Location: Raleigh, North Carolina
  • Twitter: @insightsoftware
    801 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,266 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 83% Large, 33% Medium

What Are Recent G2 Reviews of Angles Enterprise for Oracle?

Ascend.io

Ascend.io is an agentic data engineering platform that enables data teams to build, automate, and optimize pipelines across the entire data lifecycle. The platform combines a metadata-driven automation engine with integrated AI agents, allowing engineers to focus on delivering data outcomes rather than managing operational overhead. Traditional data architectures rely on multiple point solutions—one for ingestion, another for transformation, a third for orchestration. This fragmentation makes automation difficult and creates operational burden. Ascend unifies these capabilities in a single environment, giving AI agents full context to take meaningful action across the entire data ecosystem. The platform handles ingestion, transformation, orchestration, and delivery within one unified system, eliminating the need to stitch together disparate tools with custom code. Otto, the platform's AI copilot, helps engineers generate code, write documentation, troubleshoot incidents, and optimize performance—all within the context of their actual pipelines. DataOps Agents handle routine operational tasks including incident response, code reviews, and performance monitoring, reducing the maintenance burden that typically consumes significant engineering capacity. The Intelligence Core continuously collects metadata across code, infrastructure, and data lineage, enabling the system to detect changes and propagate updates automatically without manual intervention. Smart Components track code fingerprints and data lineage to execute incremental processing efficiently, reducing compute costs and processing time. Ascend connects natively to major cloud data warehouses including Snowflake, Databricks, BigQuery, and MotherDuck. Organizations use the platform to modernize legacy ETL systems, implement data mesh architectures, and prepare data for AI and machine learning workloads. The platform serves data engineering and platform teams across healthcare, financial services, retail, media, and manufacturing. The platform's AI-native architecture differentiates it from solutions that treat AI as an add-on feature. The unified design provides AI agents with comprehensive context across the data ecosystem, enabling them to take action on issues rather than simply surfacing alerts.

Average Rating: 4.7/5.0

Total Reviews: 9

How Do G2 Users Rate Ascend.io?

  • Automation: 10.0/10 (Category avg: 9.0/10)

Who Is the Company Behind Ascend.io?

  • Seller: Ascend.io
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Palo Alto, California, United States
  • LinkedIn® Page: www.linkedin.com
    23 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 56% Small, 11% Medium

What Do G2 Reviewers Say About Ascend.io?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Ascend.io, finding it simplifies complex data workflows and boosts efficiency.
  • Users praise Ascend.io for its powerful automation capabilities, drastically reducing time spent on repetitive tasks.
  • Users are impressed by the efficiency improvement Ascend.io brings, enabling swift pipeline creation and streamlined workflows.
  • Users value the flexibility of Ascend.io, enabling efficient and dynamic solutions for data pipeline challenges.
  • Users highlight the solution efficiency of Ascend.io, significantly reducing time spent on data pipeline management and automation.
Cons
  • Users face a difficult learning curve due to the shift in mindset required for Ascend.io's automation engine.
  • Users face a significant learning curve transitioning to Ascend.io's declarative model, requiring time and exploration for mastery.
  • Users face a steep learning curve with Ascend.io, particularly in adapting to its declarative mindset and features.
  • Users note the limited features of Ascend.io, particularly in model selection and documentation complexity.
  • Users face a steep learning curve in transitioning to a declarative mindset and mastering platform features effectively.

What Are Recent G2 Reviews of Ascend.io?

BUCS

BUCS is an end-to-end data management platform built by experienced FP&A consultants to streamline data consolidation, transformation and reporting for better decision-making. With over 150 connectors for both cloud-based and on-premises systems, BUCS seamlessly integrates with ERP, CRM, payroll, operational systems and more—creating a reliable, many-to-one standardized data structure. Our Master Data Management (MDM) and Chart of Accounts mapping tools deliver a real-time view of your organization’s data, empowering you with a single source of truth for financial analytics. Easily connect report-ready data to Excel or BI tools without needing technical expertise. Our platform also features pre-built reporting templates for a variety of financial reports, including income statements, balance sheets, cash flow statements and KPI dashboards, saving time and reducing errors. Headquartered in Kansas City, MO, BUCS serves mid-market organizations in eliminating manual, error-prone data processes, breaking down silos, and enabling faster, data-driven decisions. Our customers trust us to drive revenue growth by transforming how they manage and leverage their data.

Average Rating: 4.9/5.0

Total Reviews: 10

How Do G2 Users Rate BUCS?

  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 9.1/10)
  • Automation: 9.4/10 (Category avg: 9.0/10)
  • Scalability: 9.4/10 (Category avg: 8.7/10)
  • Auditing: 7.2/10 (Category avg: 8.1/10)

Who Is the Company Behind BUCS?

Who Uses This Product?

  • Company Size: 40% Medium, 30% Small

What Do G2 Reviewers Say About BUCS?

AI-generated summary from verified user reviews

Pros
  • Users value the collaborative partnership with BUCS, praising their seamless integration and responsiveness on data projects.
  • Users commend the exceptional customer support provided by BUCS, appreciating their responsiveness and expertise in problem-solving.
  • Users appreciate the seamless data integration provided by BUCS, enhancing efficiency and delivering real-time insights effortlessly.
  • Users find BUCS to be seamless and easy to use, enhancing collaboration on data projects effectively.
  • Users love the easy integrations with BUCS, enhancing efficiency and simplifying data management across systems.
Cons
  • Users face limitations of the APIs in BUCS, noting it can hinder their overall experience.
  • Users express frustration over data management issues due to delays in updates from the ERP system, seeking real-time access.
  • Users face dependency issues due to API limitations, impacting their overall experience with BUCS.
  • Users express frustration over the lack of real-time data in BUCS, needing more timely updates for better efficiency.
  • Users face sync issues as BUCS updates only twice daily, leaving some wanting real-time data access.

What Are Recent G2 Reviews of BUCS?

Datazip

Discover Datazip, a comprehensive no-code data engineering solution designed for time-conscious analysts and operators. Simplify your data management process by consolidating dispersed data sources, utilizing ETL, data warehousing, and transformation capabilities. With Datazip's intuitive platform, create a dependable, scalable data infrastructure in a mere 45 minutes. Experience swift data connections, robust querying, and smooth exporting to drive insightful decision-making.

Average Rating: 4.7/5.0

Total Reviews: 13

How Do G2 Users Rate Datazip?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.1/10)

Who Is the Company Behind Datazip?

Who Uses This Product?

  • Company Size: 46% Small, 31% Medium

What Are Recent G2 Reviews of Datazip?

ETL Framework

ETL Framework allows you to create data integration and ETL scenarios using XML-based language or Java. You can easily embed framework in your application or deploy it as a Web application and connect to the open API. There is a wide selection of built-in transformations and you can develop your own using JavaScript and SQL.

Average Rating: 4.6/5.0

Total Reviews: 4

How Do G2 Users Rate ETL Framework?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.1/10)
  • Automation: 8.3/10 (Category avg: 9.0/10)
  • Scalability: 8.3/10 (Category avg: 8.7/10)
  • Auditing: 8.3/10 (Category avg: 8.1/10)

Who Is the Company Behind ETL Framework?

  • Seller: Toolsverse
  • HQ Location: N/A
  • Twitter: @toolsverse
    58 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 75% Small, 25% Large

What Are Recent G2 Reviews of ETL Framework?

What Are G2 Users Discussing About ETL Framework?

ETLrobot

ETLrobot is a data pipeline platform to simplify and automate the extraction of your complex cloud-based data and then the loading of that data right to your data warehouse of choice.

Average Rating: 4.5/5.0

Total Reviews: 3

How Do G2 Users Rate ETLrobot?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.1/10)
  • Automation: 10.0/10 (Category avg: 9.0/10)
  • Scalability: 6.7/10 (Category avg: 8.7/10)
  • Auditing: 10.0/10 (Category avg: 8.1/10)

Who Is the Company Behind ETLrobot?

  • Seller: ETLrobot
  • Year Founded: 2018
  • HQ Location: Draper, US
  • Twitter: @EtLrobot
    13 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Large, 33% Small

What Are Recent G2 Reviews of ETLrobot?

What Are G2 Users Discussing About ETLrobot?

ETL tools

ETL toolset that enables non-technical staff to collect data from various sources, arrange and transform it into appropriate databases.

Average Rating: 4.7/5.0

Total Reviews: 3

How Do G2 Users Rate ETL tools?

  • Has the product been a good partner in doing business?: 10.0/10 (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: 8.1/10)

Who Is the Company Behind ETL tools?

Who Uses This Product?

  • Company Size: 33% Small, 33% Large

What Do G2 Reviewers Say About ETL tools?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the automation of ETL tools, simplifying data integration and enabling quick and efficient processes.
  • Users appreciate the seamless data integration of ETL tools, simplifying complex processes for quick and efficient data handling.
  • Users appreciate the seamless ETL efficiency of these tools, simplifying data integration and enhancing overall productivity.

What Are Recent G2 Reviews of ETL tools?

JiVS

JiVS IMP is a Java-based information management platform. This means that the entire life cycle of information that is no longer required in daily operations can be managed seamlessly - including the transfer of historical data and documents from the live systems to their final and legally secure deletion. With JiVS IMP, old systems and archives can be completely decomissioned. As a result, the costs associated with operating the legacy systems are generally reduced by 80 percent. As part of migration projects, JiVS IMP also helps decrease the required effort by 50 percent. If historical information is continuously transferred to JiVS IMP, the total cost of ownership (TCO) is significantly diminished. In the case of an SAP S/4HANA environment, a TCO reduction of 25 percent can be expected. Furthermore, JiVS IMP ensures 100 percent access to historical information certified by auditors and creates the basis for 100 percent legal compliance. As a modern system, JiVS IMP increases data protection and information security by means of regular security patches, encryption, revision security, and retention management. In addition, JiVS IMP acts as an information hub ("data staging area") for historical data and documents of all kinds, supporting a wide variety of agile business scenarios including: mergers & acquisitions, carve-outs, centralization and harmonization of IT landscapes and locations, system rightsizing, optimization data quality, big data scenarios, and protection of intellectual property.

Average Rating: 5.0/5.0

Total Reviews: 3

How Do G2 Users Rate JiVS?

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

Who Is the Company Behind JiVS?

Who Uses This Product?

  • Company Size: 50% Large, 25% Medium

What Do G2 Reviewers Say About JiVS?

AI-generated summary from verified user reviews

Pros
  • Users value the easy access to historical information directly from SAP S/4, enhancing their efficiency and data utilization.

What Are Recent G2 Reviews of JiVS?

What Are G2 Users Discussing About JiVS?

Qlik Compose

Qlik Compose comes in two offerings: Qlik Compose for Data Warehouses and Qlik Compose for Data Lakes. Qlik Compose for Data Warehouse automates and streamlines the design, creation, loading, management, and update of data warehouses including Amazon Redshift, Azure Synapse, Google BigQuery, Snowflake and Oracle. Qlik Compose for Data Lakes automates the process of providing continuously updated, accurate, and trusted data to big data platforms like Apache Hadoop, Cloudera Customer Data Platform and Databricks Unified Data Analytics Platform.

Average Rating: 4.5/5.0

Total Reviews: 3

How Do G2 Users Rate Qlik Compose?

  • Automation: 8.9/10 (Category avg: 9.0/10)
  • Scalability: 7.8/10 (Category avg: 8.7/10)
  • Auditing: 7.8/10 (Category avg: 8.1/10)

Who Is the Company Behind Qlik Compose?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • Twitter: @qlik
    64,130 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,551 employees on LinkedIn®
  • Phone: 1 (888) 994-9854

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Do G2 Reviewers Say About Qlik Compose?

AI-generated summary from verified user reviews

Pros
  • Users commend the automation capabilities of Qlik Compose, significantly reducing manual labor in data processing tasks.
  • Users appreciate the ease of use of Qlik Compose, simplifying data management and automating ETL processes effectively.
  • Users value the ETL efficiency of Qlik Compose, significantly reducing manual effort in data warehousing processes.
  • Users value the solution efficiency of Qlik Compose, significantly reducing effort and turnaround time for data creation.
  • Users find Qlik Compose to be a time-saving solution, significantly reducing effort and turnaround time in data preparation.
Cons
  • Users face challenges with lack of support for aggregated fact data and custom ETLs in Qlik Compose.
  • Users find the lack of support for aggregated facts and custom ETLs to be a significant drawback of Qlik Compose.
  • Users find the learning curve steep, requiring documentation and hands-on experience for effective onboarding with Qlik Compose.
  • Users find Qlik Compose not user-friendly due to lack of support for essential data management features.
  • Users find the poor documentation a challenge for onboarding new users to Qlik Compose effectively.

What Are Recent G2 Reviews of Qlik Compose?

What Are G2 Users Discussing About Qlik Compose?

TROCCO

TROCCO is a data integration and automation platform that combines several areas of the data engineering workflow into one platform, significantly reducing the time spent trying to stitch together multiple tools when building your data pipelines. TROCCO includes ETL/ELT, Orchestration, Transformation, and Reverse ETL features, enabling you to quickly and easily get data flowing to and from your cloud warehouse for downstream analytics, AI, and ML uses. TROCCO is a managed SaaS-based platform that handles your infrastructure and scaling challenges, allowing you to spend less time building and managing data pipelines and instead focus on getting value from your data. With TROCCO, you can: - Sync your data in batch or near real-time from over 120 pre-built connectors. - Build custom integrations via HTTP. - Connect with on-premise data sources. - Transform your data with Python or no-code transformation templates. - Model your data using SQL, or dbt. - Orchestrate your data pipelines with our inbuilt workflow engine. - Maintain pipeline governance through role-based access controls. - Build secure data pipelines via SSH or AWS PrivateLink.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate TROCCO?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 9.1/10)
  • Automation: 9.2/10 (Category avg: 9.0/10)
  • Scalability: 8.3/10 (Category avg: 8.7/10)
  • Auditing: 5.0/10 (Category avg: 8.1/10)

Who Is the Company Behind TROCCO?

Who Uses This Product?

  • Company Size: 67% Medium, 33% Large

What Do G2 Reviewers Say About TROCCO?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the abundance of connectors available in TROCCO, simplifying data integration across multiple applications.
  • Users highlight the ease of use of TROCCO, benefiting from its interactive UI and prebuilt connectors.
  • Users appreciate the seamless data integration capabilities of TROCCO, enhancing their ETL processes significantly.
  • Users praise Trocco for its easy integrations, enabling seamless connectivity with various data sources for enhanced efficiency.
  • Users value the ETL efficiency of Trocco, enabling powerful integrations and seamless transformations with user-friendly functionality.
Cons
  • Users find the steep learning curve and resource demands for TROCCO's advanced features challenging and time-consuming.
  • Users feel the poor documentation limits usability, particularly due to a lack of multilingual manuals.
  • Users struggle with the steep learning curve and resource demands for mastering TROCCO's advanced features.

What Are Recent G2 Reviews of TROCCO?

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