# Best ETL Tools - Page 6 *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) --- **Sponsored** ### Alteryx Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1181&secure%5Bchosen_at%5D=2026-07-06T17%3A39%3A41Z&secure%5Bdisplayable_resource_id%5D=1181&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1181&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=989&secure%5Bresource_id%5D=1181&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fetl-tools%3Fpage%3D6&secure%5Btoken%5D=d275cd0e0b850591ecd81466269f51bb373d7db5c4444d66549b883cf4aa4108&secure%5Burl%5D=https%3A%2F%2Fwww.alteryx.com%2Ftrial%3Futm_source%3Dg2%26utm_medium%3Dreviewsite%26utm_campaign%3DFY25_Global_AllRegions_AlwaysOn_AllPersonas_IndustryAgnostic%26utm_content%3Dg2_freetrial&secure%5Burl_type%5D=free_trial) --- ## What Are the Top-Rated ETL Tools Products in 2026? ### 1. [Meltano](https://www.g2.com/products/meltano/reviews) Meltano brings joy to Extract & Load. By unlocking software development workflows for data movement, it gives data engineers complete control and visibility of their pipelines, delivering unparalleled efficiency and confidence in every change. With a workflow built around a Git repository, YAML files, and a CLI, a library of 550+ open source connectors, and an SDK for custom connectors, data teams can fetch data from anywhere, send data anywhere, and transform their data their way. Meltano is open source and can be self-managed or deployed on Meltano Cloud. **Average Rating:** 4.9/5.0 **Total Reviews:** 7 **How Do G2 Users Rate Meltano?** - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.1/10) - **Automation:** 10.0/10 (Category avg: 9.0/10) - **Scalability:** 9.0/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Meltano?** - **Seller:** [Meltano](https://www.g2.com/sellers/meltano) - **Year Founded:** 2021 - **HQ Location:** All-Remote, OO - **Twitter:** @meltanodata (2,677 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/meltano/ (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 71% Mid-Market, 14% Enterprise #### What Are Recent G2 Reviews of Meltano? **"[We estimate a $50k savings by moving a single tap from a well-known cloud competitor to Meltano](https://www.g2.com/survey_responses/meltano-review-7836500)"** **Rating:** 5.0/5.0 stars *— Andy C.* [Read full review](https://www.g2.com/survey_responses/meltano-review-7836500) --- **"[With Meltano, I get to spend my time delivering business value and not worrying about my tools](https://www.g2.com/survey_responses/meltano-review-7836789)"** **Rating:** 5.0/5.0 stars *— Matt M.* [Read full review](https://www.g2.com/survey_responses/meltano-review-7836789) --- ### 2. [dataimporter](https://www.g2.com/products/dataimporter/reviews) Dataimporter is a Data loading, and Integration Platform for Salesforce. **Average Rating:** 4.5/5.0 **Total Reviews:** 17 **How Do G2 Users Rate dataimporter?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 9.1/10) - **Automation:** 9.2/10 (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 dataimporter?** - **Seller:** [Dataimporter](https://www.g2.com/sellers/dataimporter) - **Year Founded:** 2021 - **HQ Location:** Auckland, NZ - **Twitter:** @samhoult (495 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/80312567 (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 53% Mid-Market, 35% Small-Business #### What Are dataimporter's Pros and Cons? **Pros:** - Data Management (1 reviews) - Integrations (1 reviews) - Reporting (1 reviews) - Time-saving (1 reviews) **Cons:** - Limitations (1 reviews) - Missing Features (1 reviews) ### What Do G2 Reviewers Say About dataimporter? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **time-saving Dropbox integration** with DataImporter, simplifying report-making and seamless Salesforce connection. - Users value the **easy integrations** with Dropbox and Salesforce, significantly streamlining their data import processes. - Users appreciate the **streamlined reporting process** with dataimporter, especially using Dropbox instead of SFTP. - Users appreciate the **time-saving benefits** of DataImporter, simplifying processes by using Dropbox over SFTP. **Cons:** - Users are frustrated by the **lack of group organization for reports** , which leads to a cluttered single list. - Users find the **lack of group report features** frustrating, as reports are all presented in a single list. #### What Are Recent G2 Reviews of dataimporter? **"[Seamless Data Handling Solution](https://www.g2.com/survey_responses/dataimporter-review-8301744)"** **Rating:** 4.5/5.0 stars *— Chinmay B.* [Read full review](https://www.g2.com/survey_responses/dataimporter-review-8301744) --- **"[This Makes Importing fun again!](https://www.g2.com/survey_responses/dataimporter-review-7709128)"** **Rating:** 5.0/5.0 stars *— Ismael R.* [Read full review](https://www.g2.com/survey_responses/dataimporter-review-7709128) --- ### 3. [Google Cloud Managed Service for Apache Spark](https://www.g2.com/products/google-cloud-managed-service-for-apache-spark/reviews) Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way. Operations that used to take hours or days take seconds or minutes instead, and you pay only for the resources you use (with per-second billing). Cloud Dataproc also easily integrates with other Google Cloud Platform (GCP) services, giving you a powerful and complete platform for data processing, analytics and machine learning. **Average Rating:** 4.4/5.0 **Total Reviews:** 15 **How Do G2 Users Rate Google Cloud Managed Service for Apache Spark?** - **Has the product been a good partner in doing business?:** 5.8/10 (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 Google Cloud Managed Service for Apache Spark?** - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google (31,899,995 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (341,888 employees on LinkedIn®) - **Ownership:** NASDAQ:GOOG **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 47% Mid-Market, 35% Enterprise #### What Are Recent G2 Reviews of Google Cloud Managed Service for Apache Spark? **"[Google Cloud Dataproc: One stop solution for all of your big-data-cluster needs](https://www.g2.com/survey_responses/google-cloud-managed-service-for-apache-spark-review-8666784)"** **Rating:** 5.0/5.0 stars *— Danveer S.* [Read full review](https://www.g2.com/survey_responses/google-cloud-managed-service-for-apache-spark-review-8666784) --- **"[A very powerful Hadoop Implementation without the fanfare of AWS EMR](https://www.g2.com/survey_responses/google-cloud-managed-service-for-apache-spark-review-8174431)"** **Rating:** 4.5/5.0 stars *— Edgar A.* [Read full review](https://www.g2.com/survey_responses/google-cloud-managed-service-for-apache-spark-review-8174431) --- ### 4. [Oracle Warehouse Builder](https://www.g2.com/products/oracle-warehouse-builder/reviews) Oracle Warehouse Builder is a single, comprehensive tool for all aspects of data integration. Warehouse Builder leverages Oracle Database to transform data into high-quality information. It provides data quality, data auditing, fully integrated relational and dimensional modeling, and full lifecycle management of data and metadata. Warehouse Builder enables you to create data warehouses, migrate data from legacy systems, consolidate data from disparate data sources, clean and transform data to provide quality information, and manage corporate metadata. **Average Rating:** 3.8/5.0 **Total Reviews:** 8 **How Do G2 Users Rate Oracle Warehouse Builder?** - **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 9.1/10) **Who Is the Company Behind Oracle Warehouse Builder?** - **Seller:** [Oracle](https://www.g2.com/sellers/oracle) - **Year Founded:** 1977 - **HQ Location:** Austin, TX - **Twitter:** @Oracle (827,997 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (208,078 employees on LinkedIn®) - **Ownership:** NYSE:ORCL **Who Uses This Product?** - **Company Size:** 50% Small-Business, 40% Enterprise #### What Are Recent G2 Reviews of Oracle Warehouse Builder? **"[BI TOOL Rivew](https://www.g2.com/survey_responses/oracle-warehouse-builder-review-4183745)"** **Rating:** 5.0/5.0 stars *— Bhanu K.* [Read full review](https://www.g2.com/survey_responses/oracle-warehouse-builder-review-4183745) --- **"[Oracle DW Builder is amazing tool, provides extensive integration and solution in datawarehousing](https://www.g2.com/survey_responses/oracle-warehouse-builder-review-4164489)"** **Rating:** 4.5/5.0 stars *— Akansha M.* [Read full review](https://www.g2.com/survey_responses/oracle-warehouse-builder-review-4164489) --- #### What Are G2 Users Discussing About Oracle Warehouse Builder? - [What is Oracle Warehouse Builder used for?](https://www.g2.com/discussions/what-is-oracle-warehouse-builder-used-for) ### 5. [Sesame Software](https://www.g2.com/products/sesame-software-sesame-software/reviews) Sesame Software is a comprehensive data management solution designed to assist organizations in backing up, exporting, replicating, and transferring data from various systems, including Salesforce and NetSuite, into databases, cloud storage, and other downstream systems. This suite of tools is tailored to support critical functions such as data protection, reporting, analytics, compliance, migration, and long-term data access, ensuring that businesses can effectively manage their data assets. The target audience for Sesame Software includes businesses of all sizes that rely on cloud applications and databases for their operations. Organizations seeking to safeguard their data from accidental loss or corruption, maintain compliance with regulatory standards, or streamline their data workflows will find significant value in these solutions. Specific use cases range from protecting Salesforce data against unintended deletions to exporting NetSuite data for compliance and reporting purposes. The versatility of Sesame Software makes it an essential resource for IT departments, data analysts, and compliance officers alike. One of the standout features of Sesame Software is its Salesforce Backup & Recovery solution, which is designed to protect Salesforce data from various risks, including accidental deletions and system errors. This solution offers automated full and incremental backups with flexible scheduling options, allowing users to monitor backup health and job activity through a centralized dashboard. The ability to restore data from specific backup snapshots, whether through full restores or selective record-level recovery, adds an additional layer of security and control for users. Backup history and logs further support auditing and troubleshooting, ensuring that organizations can maintain oversight of their data management processes. In addition to backup capabilities, Sesame Software provides robust data replication features that enable organizations to keep systems synchronized and support analytics and reporting. The automated replication jobs can be monitored, with logs available for tracking job status and errors, facilitating seamless data movement between systems. Furthermore, the platform includes tools for building data pipelines and ETL (extract, transform, load) workflows without the need for coding, allowing users to prepare data for reporting and analytics efficiently. Data migration is another critical aspect of Sesame Software, with automated processes that facilitate the transfer of data from source systems to target platforms while maintaining data integrity. The NetSuite Data Export feature allows organizations to export data into external databases or cloud storage, capturing both standard and custom objects while preserving schema and historical integrity. Supported destinations include a variety of relational databases and cloud storage platforms, making it easier for organizations to manage their data across different environments. Overall, Sesame Software stands out for its wide range of connectors and its ability to simplify complex data management tasks without the need for custom coding. **Average Rating:** 4.3/5.0 **Total Reviews:** 45 **How Do G2 Users Rate Sesame Software?** - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10) - **Automation:** 8.3/10 (Category avg: 9.0/10) - **Scalability:** 5.0/10 (Category avg: 8.7/10) - **Auditing:** 5.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Sesame Software?** - **Seller:** [Sesame Software](https://www.g2.com/sellers/sesame-software) - **Company Website:** https://www.sesamesoftware.com - **Year Founded:** 1988 - **HQ Location:** Santa Clara, CA - **Twitter:** @SesameSoft (1 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/413870/ (28 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Insurance - **Company Size:** 61% Enterprise, 37% Mid-Market #### What Are Sesame Software's Pros and Cons? **Pros:** - Customer Support (7 reviews) - Ease of Use (7 reviews) - Integrations (5 reviews) - Data Management (4 reviews) - Easy Setup (4 reviews) **Cons:** - Poor Documentation (3 reviews) - Configuration Issues (2 reviews) - Error Management (2 reviews) - Poor Interface Design (2 reviews) - Technical Issues (2 reviews) ### What Do G2 Reviewers Say About Sesame Software? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **responsive and knowledgeable customer support** that enhances their experience with Sesame Software. - Users find Sesame Software's **ease of use** remarkable, simplifying data synchronization and management across environments effortlessly. - Users value the **seamless integration** of Sesame Software, enhancing the efficiency and reliability of data operations. - Users value the **efficient data management** capabilities of Sesame Software, particularly for seamless Salesforce data export and backup. - Users value the **easy setup** of Sesame Software, appreciating its intuitive interface and straightforward integration process. **Cons:** - Users find the **documentation lacking** , leading to difficulties in troubleshooting and understanding advanced configurations. - Users face **configuration issues** that can complicate setup, affecting data synchronization in high-volume environments. - Users face **error management challenges** with Sesame Software, requiring more intuitive support and better documentation for troubleshooting. - Users find the **poor interface design** of Sesame Software hinders usability, suggesting a friendlier UI for better accessibility. - Users report **technical issues** with job recovery when SQL experiences downtime, especially on older versions of Sesame Software. #### What Are Recent G2 Reviews of Sesame Software? **"[Netsuite to SQL Backups - Solid Support](https://www.g2.com/survey_responses/sesame-software-review-12831470)"** **Rating:** 4.5/5.0 stars *— Verified User in Non-Profit Organization Management* [Read full review](https://www.g2.com/survey_responses/sesame-software-review-12831470) --- **"[Exceptional Partner for Legacy ERP Data Archival](https://www.g2.com/survey_responses/sesame-software-review-12590339)"** **Rating:** 5.0/5.0 stars *— Susann E.* [Read full review](https://www.g2.com/survey_responses/sesame-software-review-12590339) --- #### What Are G2 Users Discussing About Sesame Software? - [What is Relational Junction used for?](https://www.g2.com/discussions/what-is-relational-junction-used-for) - 1 comment ### 6. [Sprinkle Pipelines](https://www.g2.com/products/sprinkle-pipelines-2022-08-18/reviews) Sprinkle Pipelines is a product for the data teams. It empowers them to achieve more, by quickly building ELT pipelines, setting up ingestion, performing transformations, exploring data, using the data for analytics and more. Sprinkle’s pipeline supports real-time data replication and hence enables businesses to make decisions faster. No-Code based set-up enables the data teams to take the pipelines live within minutes. Thus saving time and effort required of the teams. A comprehensive set of 100+ ready-to-use connectors helps data teams stay on top of their data, seamlessly integrating data from multiple sources. Powerful features make it easy to ingest, transform, catalog, and monitor data pipelines, giving data teams more peace of mind. ​​The Sprinkle architecture and data practices ensure enterprise-level data protection and privacy for its customers. **Average Rating:** 4.4/5.0 **Total Reviews:** 17 **How Do G2 Users Rate Sprinkle Pipelines?** - **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 9.1/10) - **Automation:** 8.3/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 7.5/10 (Category avg: 8.1/10) **Who Is the Company Behind Sprinkle Pipelines?** - **Seller:** [Sprinkle Data](https://www.g2.com/sellers/sprinkle-data) - **Year Founded:** 2017 - **HQ Location:** Bangalore, IN - **Twitter:** @sprinkledata (29 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/13264317 (11 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Automotive - **Company Size:** 79% Mid-Market, 21% Enterprise #### What Are Recent G2 Reviews of Sprinkle Pipelines? **"[It's a great tool to build reports on the fly](https://www.g2.com/survey_responses/sprinkle-pipelines-review-9739052)"** **Rating:** 4.5/5.0 stars *— Rupesh S.* [Read full review](https://www.g2.com/survey_responses/sprinkle-pipelines-review-9739052) --- **"[One of the best Data Management Tool out there!](https://www.g2.com/survey_responses/sprinkle-pipelines-review-8540258)"** **Rating:** 4.0/5.0 stars *— Sanchit V.* [Read full review](https://www.g2.com/survey_responses/sprinkle-pipelines-review-8540258) --- ### 7. [wynEnterprise](https://www.g2.com/products/wynenterprise/reviews) Discover the story behind your data with Wyn Enterprise. Wyn Enterprise is a seamless embedded business intelligence platform that provides BI reporting, interactive dashboards, scheduling, and distribution tools within any internal or commercial app. With easy-to-use designers, designed for self-service BI, Wyn offers limitless visual data exploration, allowing the everyday user to become data-driven while revealing trends and telling the story behind the data. Whether for your business or your commercial SaaS app, Wyn is an ideal solution for both. Embedded BI for your business provides a holistic view of your business and can lead to more insights, increased team collaboration, and overall business growth. Additionally, embedding Wyn in your SaaS app provides white-label reports and dashboards as part of your own app. Embed Wyn and empower your users with a seamless business intelligence solution. Features: • Seamlessly embedded Business Intelligence: Designed for embedded self-service BI, Wyn provides ad hoc reporting, interactive dashboards, scheduling, and distribution tools within any internal or commercial app. Our platform offers flexible deployment and integration. • Embedding BI with Wyn: Once installed, Wyn is 100% web-based. In your application, Wyn is embedded as a port to provide users the ability to easily create, design, share, export, and distribute dashboards and documents. Seamlessly embed Wyn via Rest API and DIV. Wyn also supports OEM installation and embedding. Additionally, you can integrate with development platforms such as Java, PHP, and .NET through GraphQL API. You can also embed inside customized .NET apps as well as JavaScript frameworks (Angular, React, Vue). • Self-service BI dashboard and reports: Eliminate your dependence on the IT departments and data analysts. Offer every end-user (from code-first to code-free) the ability to create custom ad hoc reports and interactive dashboards. Self-service BI allows users to run their own queries and create their own reports, even if they don’t have a background in statistical analysis, allowing them to turn data into valuable insights for better data driven decisions. • Data Monitoring: Create threshold based notifications and establish Wyn Alerts that are always on to monitor your data. Never miss an opportunity for improvement thanks to real-time monitoring and instant alerts. Integrate your push-notifications with the platform you use everyday - Slack, MS Teams, or email - ensuring that you never miss an alert. •Localization Support: With Custom Localization Support, you’re in control of your dashboard and report. Authors have the ability to localize titles and labels, text explanations, and data visualizations. There is more to localization than just translating words and sentences. Wyn’s custom localization also supports right to left (RTL) languages, regional language options, and number and date formats. •NEW! Natural Language Generation Text Scenario: Introducing InsightIQ, a revolutionary addition to our feature set that transforms the way you interact with your data. InsightIQ is a Natural Language Generation Text Scenario that takes data summarization and insights derivation to a whole new level. This powerful tool allows you to seamlessly distill the essence of your visuals into articulate and easy-to-understand natural language text, facilitating quick reviews and automatic insights extraction. • Built-in multi-tenant support: Wyn's multi-tenant capabilities provides a single centrally administered architecture to serve multiple customers (tenants). These tenants can be within an organization or different businesses, with all its data stored in the SaaS system. Data privacy and securing the data from other tenants are both critical in these deployment scenarios • Date governance and modeling: Wyn allows you to secure and model your raw data. With easy-to-use dashboard and report designers in the same web-based application, end-users can develop their own ad-hoc dashboards and reports based on the secured data. Wyn also allows allows admins to model business data in a structure familiar to users. • Extensible security: Wyn provides extensible security to match your access control needs. Filter and segregate your data and limit your tenant-specific data with the configurable role-based security and user-context definitions. User contexts provide row-level data security in a document or database-level security for a data source. User context acts as an additional layer of data security, extending the role-based security. • Specialized web portals: The software comes with three portals, the document portal; for business end-users, dashboard, and report authors, the admin portal; for admins that configure the server, manage account and security settings, and the resource portal; for data administrators or IT teams. • Pixel-perfect reports: For power users and business users, the report designer tools can help in developing pixel-perfect operational reports, as well as in creating invoices, letters, and account statements among many others. The software further allows you to use ad hoc reporting or the standard enterprise reports. • Efficient Report Sharing: The software also allows you to schedule automated delivery of reports to be sent to your team’s emails. File sharing in various document formats is also supported. Additionally, you can collaborate with your team on report and dashboard designs, and you can share the published versions with others in your enterprise. • Centralized storage; Apart from being a secured platform, Wyn Enterprise also provides centralized storage for all your reports, images, datasets, and configuration settings. Other server resources, such as dashboards, themes, models, users, and roles, are also stored in the same place. The software also allows you to compile data from relational databases, local Excel or CSV files, web sources, and NoSQL data sources. Say Goodbye to User Fees You need a scalable BI platform. You also need to know how much it will cost in the long run. Wyn's scalable licensing model allows room for your business to grow without growth in licensing fees. • No per-user fees • No limits on data size 20+ Years in the Industry Unleash the full potential of embedded ad hoc reporting, driven by the same ActiveReports engine that has led the industry for 20+ years. **Average Rating:** 4.7/5.0 **Total Reviews:** 38 **How Do G2 Users Rate wynEnterprise?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10) **Who Is the Company Behind wynEnterprise?** - **Seller:** [wynEnterprise LLC](https://www.g2.com/sellers/wynenterprise-llc) - **Company Website:** https://www.wynenterprise.com - **Year Founded:** 2018 - **HQ Location:** 7400 Beaufont Springs Dr., St 300, Richmond VA 23225 - **LinkedIn® Page:** https://www.linkedin.com/company/wynenterprise/ (28 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 53% Small-Business, 37% Mid-Market #### What Are wynEnterprise's Pros and Cons? **Pros:** - Customer Support (10 reviews) - Ease of Use (10 reviews) - Flexibility (8 reviews) - Reporting (7 reviews) - Customization (6 reviews) **Cons:** - Poor Documentation (5 reviews) - Complexity (2 reviews) - Lack of Detail (2 reviews) - Missing Features (2 reviews) - Update Issues (2 reviews) ### What Do G2 Reviewers Say About wynEnterprise? *AI-generated summary from verified user reviews* **Pros:** - Users value the **excellent customer support** of wynEnterprise, ensuring timely assistance for any technical issues encountered. - Users value the **ease of use** of wynEnterprise, appreciating its straightforward implementation and intuitive design features. - Users value the **flexibility** of wynEnterprise, which easily adapts to various data sources and customization needs. - Users commend the **impressive reporting capabilities** of wynEnterprise, enabling effective data analysis and visualization. - Users value the **highly customizable features** of wynEnterprise, enhancing data visualization and brand matching effortlessly. **Cons:** - Users find the **poor documentation** challenging, making it difficult to navigate the system's extensive features. - Users find the **complexity** of wynEnterprise challenging, with a steep learning curve and a need for improved documentation. - Users find the **lack of detailed instructions** for version upgrades to be frustrating and limiting for their experience. - Users note a **lack of documentation and features** , limiting the usability and potential of wynEnterprise compared to competitors. - Users find **update issues** cumbersome, needing to back up environments which adds administrative overhead before applying updates. #### What Are Recent G2 Reviews of wynEnterprise? **"[Flexible Dashboards and Centralized Enterprise Data Access Control](https://www.g2.com/survey_responses/wynenterprise-review-12315453)"** **Rating:** 4.5/5.0 stars *— Ali E.* [Read full review](https://www.g2.com/survey_responses/wynenterprise-review-12315453) --- **"[Flexible Visualization for Business Insights](https://www.g2.com/survey_responses/wynenterprise-review-12170715)"** **Rating:** 4.0/5.0 stars *— Satyam k.* [Read full review](https://www.g2.com/survey_responses/wynenterprise-review-12170715) --- #### What Are G2 Users Discussing About wynEnterprise? - [What is Wyn Enterprise used for?](https://www.g2.com/discussions/what-is-wyn-enterprise-used-for) ### 8. [AnalyticsCreator](https://www.g2.com/products/analyticscreator/reviews) AnalyticsCreator is a data warehouse automation (DWA) software solution that helps data engineers design, build, and maintain enterprise data warehouses and analytical data products using a metadata-driven development approach. The software is used by data engineering and analytics teams that need to integrate data from multiple operational systems and transform it into structured models for reporting, analytics, and business intelligence. Instead of writing large amounts of manual SQL code, engineers define data structures, mappings, and transformation logic in AnalyticsCreator. The software then automatically generates the required database objects, pipelines, and other technical artifacts needed to implement the data warehouse. AnalyticsCreator is commonly used in environments where data needs to be consolidated from SAP systems, relational databases, and other enterprise applications. The generated structures and pipelines support the creation of governed analytical models that can be used by BI tools and reporting platforms. The approach helps teams standardize development patterns while still allowing engineers to add custom SQL logic when specific transformations or calculations are required. Typical use cases include: Building and maintaining enterprise data warehouses Integrating and transforming data from SAP and other operational systems Automating ELT pipeline and transformation development Creating analytical data products for reporting and BI Understanding data lineage and change impact across the warehouse Key capabilities include: Metadata-driven automation for generating SQL objects, transformations, and deployment artifacts Support for common data warehouse modeling approaches, including dimensional models Integration with enterprise data sources, including SAP systems and relational databases Automated generation of orchestration pipelines, including Azure Data Factory Built-in lineage visualization to understand dependencies and downstream impacts Integration with version control and CI/CD workflows such as GitHub and Azure DevOps Automated technical documentation for architecture and governance purposes Organizations use AnalyticsCreator to automate repetitive data engineering work while maintaining transparency into how data pipelines, transformations, and analytical models are defined and deployed. **Average Rating:** 4.3/5.0 **Total Reviews:** 14 **How Do G2 Users Rate AnalyticsCreator?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10) **Who Is the Company Behind AnalyticsCreator?** - **Seller:** [AnalyticsCreator](https://www.g2.com/sellers/analyticscreator) - **Year Founded:** 2008 - **HQ Location:** Munich, Germany - **LinkedIn® Page:** https://www.linkedin.com/company/analyticscreator/ (9 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 57% Small-Business, 21% Mid-Market #### What Are Recent G2 Reviews of AnalyticsCreator? **"[Game Changer](https://www.g2.com/survey_responses/analyticscreator-review-8871315)"** **Rating:** 4.5/5.0 stars *— Virajitha P.* [Read full review](https://www.g2.com/survey_responses/analyticscreator-review-8871315) --- **"[Automates Data Management and Supports Seamless Integration](https://www.g2.com/survey_responses/analyticscreator-review-8370923)"** **Rating:** 4.5/5.0 stars *— Denise M.* [Read full review](https://www.g2.com/survey_responses/analyticscreator-review-8370923) --- ### 9. [BMC AMI Data](https://www.g2.com/products/bmc-ami-data/reviews) BMC AMI Data is an intelligent data management and optimization solution for IBM Z environments. It helps enterprises manage, protect, and optimize mission-critical mainframe data while reducing operational complexity, cost, and risk. BMC AMI Data leverages automation, advanced analytics, and predictive insights to streamline data maintenance, improve performance, and ensure the availability of critical workloads across Db2, IMS, VSAM, and related systems. The solution enables data teams to move from reactive management to proactive, insights-driven operations. Key capabilities include: - Automated data management and maintenance to reduce manual effort and improve operational efficiency - Real-time analytics and predictive insights to optimize performance and anticipate issues before they impact workloads - CPU and resource optimization to control costs and improve system efficiency at scale - Data protection and risk reduction to safeguard critical information and maintain data integrity - Support for modernization initiatives by simplifying how mainframe data is managed and integrated with evolving business needs - On-platform processing that keeps data secure and managed directly within the IBM Z environment By modernizing mainframe data management with automation and intelligence, BMC AMI Data helps organizations control data growth, reduce operational risk, and ensure high-performance delivery of always-on, business-critical applications. **Average Rating:** 4.3/5.0 **Total Reviews:** 31 **How Do G2 Users Rate BMC AMI Data?** - **Has the product been a good partner in doing business?:** 8.5/10 (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 BMC AMI Data?** - **Seller:** [BMC Software](https://www.g2.com/sellers/bmc-software) - **Company Website:** https://www.bmc.com - **Year Founded:** 1980 - **HQ Location:** Houston, TX - **Twitter:** @BMCSoftware (47,946 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1597/ (8,877 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 52% Small-Business, 26% Enterprise #### What Are BMC AMI Data's Pros and Cons? **Pros:** - Analytics (1 reviews) - Automation (1 reviews) - Ease of Use (1 reviews) - Easy Integrations (1 reviews) - Features (1 reviews) **Cons:** - Expensive (1 reviews) - Installation Difficulty (1 reviews) - Learning Curve (1 reviews) - Limited Compatibility (1 reviews) - Limited Customization (1 reviews) ### What Do G2 Reviewers Say About BMC AMI Data? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **analytics capabilities** of BMC AMI Data, enhancing database administration with valuable insights and automation. - Users appreciate the **automation capabilities** of BMC AMI Data, enhancing integration and ensuring quality standards with ease. - Users appreciate the **ease of use** of BMC AMI Data, making database management more efficient and streamlined. - Users value the **easy integrations** of BMC AMI Data with tools like Jenkins, enhancing automated quality assurance and compatibility. - Users appreciate the **automation and scalability** in BMC AMI Data, enhancing their database management experience significantly. **Cons:** - Users express concern over the **high costs** associated with BMC AMI Data, impacting its value for smaller operations. - Users report challenges with **installation difficulty** , finding the setup and administration more complex than anticipated. - Users report a notable **learning curve** , which can complicate the initial experience with BMC AMI Data. - Users find the **limited compatibility** with older Db2 systems affects the overall integration of BMC AMI Data. - Users are frustrated by the **limited customization** options in BMC AMI Data, impacting its adaptability to specific needs. #### What Are Recent G2 Reviews of BMC AMI Data? **"[Simplifies Mainframe Data Management with Powerful Automation and Analytics](https://www.g2.com/survey_responses/bmc-ami-data-review-12955744)"** **Rating:** 5.0/5.0 stars *— Bharti K.* [Read full review](https://www.g2.com/survey_responses/bmc-ami-data-review-12955744) --- **"[Powerful Mainframe Data Management and Analytics Solution](https://www.g2.com/survey_responses/bmc-ami-data-review-12986188)"** **Rating:** 4.0/5.0 stars *— Shreyash R.* [Read full review](https://www.g2.com/survey_responses/bmc-ami-data-review-12986188) --- #### What Are G2 Users Discussing About BMC AMI Data? - [What is BMC AMI Database Administration for Db2 used for?](https://www.g2.com/discussions/what-is-bmc-ami-database-administration-for-db2-used-for) - [What is BMC Compuware Hiperstation used for?](https://www.g2.com/discussions/what-is-bmc-compuware-hiperstation-used-for) - [What is BMC AMI Application Restart and VSAM Recovery used for?](https://www.g2.com/discussions/what-is-bmc-ami-application-restart-and-vsam-recovery-used-for) ### 10. [Dexi](https://www.g2.com/products/dexi/reviews) Dexi provides an automated data intelligence environment. Its data extraction, monitoring and process software delivers rapid data insights leading to better decisions and business performance. **Average Rating:** 3.7/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Dexi?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Automation:** 0.0/10 (Category avg: 9.0/10) **Who Is the Company Behind Dexi?** - **Seller:** [Dexi.io](https://www.g2.com/sellers/dexi-io) - **Year Founded:** 2015 - **HQ Location:** London, GB - **Twitter:** @dexi_io (1,323 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/dexi.io (19 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business, 20% Enterprise #### What Are Recent G2 Reviews of Dexi? **"[Use Dexi !!! It is great !!!](https://www.g2.com/survey_responses/dexi-review-1095222)"** **Rating:** 4.5/5.0 stars *— Verified User in Internet* [Read full review](https://www.g2.com/survey_responses/dexi-review-1095222) --- **"[Streamlined workflow](https://www.g2.com/survey_responses/dexi-review-2159593)"** **Rating:** 4.5/5.0 stars *— Verified User in Pharmaceuticals* [Read full review](https://www.g2.com/survey_responses/dexi-review-2159593) --- #### What Are G2 Users Discussing About Dexi? - [What is Dexi used for?](https://www.g2.com/discussions/what-is-dexi-used-for) ### 11. [Infoveave](https://www.g2.com/products/infoveave/reviews) Infoveave is an AI-powered unified data platform that helps enterprises automate data pipelines, improve data quality, enable predictive analytics, and turn insights into measurable business actions — all within a single environment. Unlike traditional BI tools or standalone ETL platforms, Infoveave connects the entire data lifecycle from ingestion and transformation to governance, analytics, and operational execution. Infoveave is built on a strong foundation of data governance and data security, ensuring consistent data management, compliance, and protection. With capabilities like data lineage tracking, metadata management, row-level security, and audit trails, the platform helps maintain data integrity and control. Key Features Fovea - AgenticAI Assistant Infoveave's AgenticAI, Fovea, is embedded across the platform. Fovea assists in building data transformations, suggesting insights, automating workflows, and simplifying advanced analytics, reducing technical dependency and improving cross-team adoption. Data Automation & Integration • 50+ native connectors (cloud apps, databases, warehouses) • Automated data ingestion & transformation • Workflow orchestration with monitoring & alerts • Real-time pipeline visibility AI-Powered Analytics & Predictive Modeling • AutoML for predictive insights • What-if scenario planning • Python integration for advanced modeling • API-accessible analytics endpoints Conversational Dashboards & Self-Service BI • Natural language queries • 100+ interactive visuals • Drill-down exploration • Scheduled & automated reporting Built-in Data Quality & Governance • Automated validation & anomaly detection • Data catalog & lineage tracking • Role-based access control • Audit trails & governance workflows Data Apps & Operational Workflows • Low-code applications • Integrated data capture forms • Automated decision triggers • Insight-to-action workflows Business Value • Faster deployment of data pipelines • Improved data accuracy and trust • Reduced reliance on multiple disconnected tools • Faster decision-making cycles • Measurable operational efficiency Infoveave unifies data automation, AI-powered analytics, governance, and operational workflows into one intelligent platform — turning enterprise data into trusted, actionable decisions. **Average Rating:** 4.9/5.0 **Total Reviews:** 9 **How Do G2 Users Rate Infoveave?** - **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 Infoveave?** - **Seller:** [Noesys Software](https://www.g2.com/sellers/noesys-software) - **HQ Location:** N/A - **Twitter:** @infoveave (15 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/infoveave-pty-ltd/ (3 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 44% Small-Business, 22% Enterprise #### What Are Infoveave's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Easy Integrations (3 reviews) - Features (3 reviews) - Community Support (2 reviews) - Customer Support (2 reviews) **Cons:** - Poor Customer Support (2 reviews) - Dashboard Issues (1 reviews) - Data Cleaning (1 reviews) - Data Inaccuracy (1 reviews) - Data Integration (1 reviews) ### What Do G2 Reviewers Say About Infoveave? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Infoveave, highlighting smooth implementation and quick data integration for dashboards. - Users value the **easy integrations** of Infoveave, enhancing data management and expediting dashboard creation. - Users value the **ease of use and quick implementation** of Infoveave, enhancing productivity and efficient reporting. - Users appreciate the **excellent community support** from Infoveave, enhancing their overall experience and reliability of the solution. - Users highlight the **excellent customer support** of Infoveave, praising its reliability and quality throughout their experience. **Cons:** - Users note the lack of **help content** , relying too much on customer support for guidance and tutorials. - Users struggle with **dashboard issues** that necessitate complex data restructuring for multi-tenant report isolation. - Users face **significant data restructuring** issues due to initial difficulties with dashboards for multi-tenant reports. - Users face significant challenges due to **data inaccuracy** requiring extensive reconfiguration of tenant-specific reports. - Users face **initial difficulties with data integration** , requiring extensive restructuring to achieve effective reporting across multiple tenants. #### What Are Recent G2 Reviews of Infoveave? **"[Scalable data automation for multi-site operations: Our unified source of truth](https://www.g2.com/survey_responses/infoveave-review-12599874)"** **Rating:** 5.0/5.0 stars *— Satish G.* [Read full review](https://www.g2.com/survey_responses/infoveave-review-12599874) --- **"[Infoveave Delivers Powerful, User-Friendly Shopfloor Intelligence](https://www.g2.com/survey_responses/infoveave-review-12600038)"** **Rating:** 5.0/5.0 stars *— Chore R.* [Read full review](https://www.g2.com/survey_responses/infoveave-review-12600038) --- ### 12. [Precog](https://www.g2.com/products/precog/reviews) Precog is an automated platform that connects seamlessly to any application API and loads data into your data warehouse or database, fully prepared for analytics, machine learning, and business applications. **Average Rating:** 4.6/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Precog?** - **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 Precog?** - **Seller:** [Precog](https://www.g2.com/sellers/precog-af1260fb-72fb-40b9-91b8-085f1b3eded8) - **Year Founded:** 2020 - **HQ Location:** Boulder, US - **LinkedIn® Page:** https://www.linkedin.com/company/precogdata/ (34 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Small-Business, 40% Mid-Market #### What Are Recent G2 Reviews of Precog? **"[Very good tool to write SQL queries against a MongoDB Cluster](https://www.g2.com/survey_responses/precog-review-4492993)"** **Rating:** 4.5/5.0 stars *— Michel H.* [Read full review](https://www.g2.com/survey_responses/precog-review-4492993) --- **"[Review for Precog](https://www.g2.com/survey_responses/precog-review-9598115)"** **Rating:** 5.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/precog-review-9598115) --- #### What Are G2 Users Discussing About Precog? - [What is Precog used for?](https://www.g2.com/discussions/what-is-precog-used-for) ### 13. [BOLTIC.IO](https://www.g2.com/products/boltic-io/reviews) Boltic is a powerful, cloud-based platform designed to streamline business operations through advanced automation and data management. Boltic's capabilities: 🔄 Workflow Automation: Automate and optimize complex business processes with customizable workflows. 📊 Real-Time Analytics: Gain actionable insights with real-time data processing and analytics. 🔗 Extensive Integrations: Seamlessly connect with numerous APIs, databases, and services. 🌍 Multi-Region Support: Deploy applications across multiple geographic regions for improved performance and compliance. 🖥️ Serverless Computing: Scale effortlessly with serverless architecture that handles infrastructure management. 📡 Event Streaming: Capture and analyze event data in real time for immediate operational intelligence. What can you achieve from Boltic? ✅ As a developer - take a break from writing-running simple queries to doing more productive and value-driven work ✅ As a business user - become self-sufficient in discovering & exploring data ✅ As an organisation - optimize your cost, by paying for just one product instead of multiple products **Average Rating:** 5.0/5.0 **Total Reviews:** 5 **How Do G2 Users Rate BOLTIC.IO?** - **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 BOLTIC.IO?** - **Seller:** [Boltic](https://www.g2.com/sellers/boltic) - **HQ Location:** Mumbai, IN - **LinkedIn® Page:** https://www.linkedin.com/company/officialboltic (6 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Mid-Market, 20% Enterprise #### What Are Recent G2 Reviews of BOLTIC.IO? **"[Its a Good tool for your event and data processing](https://www.g2.com/survey_responses/boltic-io-review-9506834)"** **Rating:** 5.0/5.0 stars *— Abhishek T.* [Read full review](https://www.g2.com/survey_responses/boltic-io-review-9506834) --- **"[Streamlining Machine Learning with Boltic's AutoML Feature](https://www.g2.com/survey_responses/boltic-io-review-9510066)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/boltic-io-review-9510066) --- ### 14. [Datagaps DataOps Suite](https://www.g2.com/products/datagaps-dataops-suite/reviews) The Comprehensive End-to-End Data Validation Platform. A platform for automating Data Integration and Data Management projects. Seamless Data Pipeline & BI Testing Automation Powered by AI Production Data Reconciliation & Data Quality Monitoring ETL Validator ETL Validator is a powerful ETL/ELT testing tool that automates validation during data migration and data warehouse projects. Simplifies testing of Data Integration, Data Warehouse, and Data Migration projects. BI Validator Streamline and enhance the testing of BI reports, ensuring data accuracy and reliability across BI platforms. A tool for Functional, Regression, Performance, and Stress Testing on BI platforms such as Tableau, Oracle Analytics, BusinessObjects, and Cognos. Data Quality Monitor DataOps DQ Monitor automates data testing in motion and data at rest. Business users can monitor the data quality metrics using intuitive Dashboards. To ensure greater accuracy, closely monitor the data output. Test Data Manager You can generate compliant test data required for your comprehensive testing needs, independently without technical help using Datagaps Test Data Manager. A Top-Notch Test Data Management Tool **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](https://www.g2.com/sellers/datagaps-48d8e545-f270-4675-88aa-cfe4d96bc8c3) - **Year Founded:** 2010 - **HQ Location:** Herndon, US - **Twitter:** @datagaps (49 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/datagaps/?viewAsMember=true (123 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 78% Enterprise, 11% Mid-Market #### What Are Datagaps DataOps Suite's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Automation (3 reviews) - Data Quality (3 reviews) - Easy Integrations (3 reviews) - Features (3 reviews) **Cons:** - Complex Setup (1 reviews) - Dependency Issues (1 reviews) - Difficult Setup (1 reviews) - Lack of Automation (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About Datagaps DataOps Suite? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use and implementation** of Datagaps DataOps Suite, making it accessible for all skill levels. - Users commend the **automation capabilities** of Datagaps DataOps Suite, enhancing efficiency and confidence in data operations. - Users value the **high data quality** achieved through Datagaps DataOps Suite, enhancing analytics and decision-making confidence. - Users appreciate the **easy integrations** of Datagaps DataOps Suite, enabling seamless connections with various platforms effortlessly. - Users appreciate the **comprehensive features** of Datagaps DataOps Suite, enhancing data management and integration capabilities. **Cons:** - Users find the **complex setup** of Datagaps DataOps Suite can be time-consuming, but appreciate its reliability afterward. - Users express concerns about **dependency issues** , wishing for improved functionality in managing dataflow connections. - Users find the **difficult setup** of Datagaps DataOps Suite time-consuming, but appreciate its reliable data quality management afterward. - Users find the **lack of automation** for cleaning long-running jobs a limitation that impacts their efficiency. - Users note a challenging **learning curve** for teams adapting to DataOps practices and automation, necessitating significant change management. #### What Are Recent G2 Reviews of Datagaps DataOps Suite? **"[User-Friendly Interface with Powerful End-to-End Data Validation](https://www.g2.com/survey_responses/datagaps-dataops-suite-review-12563830)"** **Rating:** 4.0/5.0 stars *— Somesh T.* [Read full review](https://www.g2.com/survey_responses/datagaps-dataops-suite-review-12563830) --- **"[Flexible, Powerful, and Seamless DataOps Solution](https://www.g2.com/survey_responses/datagaps-dataops-suite-review-12129647)"** **Rating:** 5.0/5.0 stars *— Venkata Jyothi D.* [Read full review](https://www.g2.com/survey_responses/datagaps-dataops-suite-review-12129647) --- ### 15. [DBSync Cloud Replication](https://www.g2.com/products/dbsync-cloud-replication/reviews) 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](https://www.g2.com/sellers/dbsync) - **Year Founded:** 2009 - **HQ Location:** Brentwood, TN - **Twitter:** @dbsync (385 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2023044/ (118 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 41% Mid-Market, 35% Enterprise #### What Are DBSync Cloud Replication's Pros and Cons? **Pros:** - Ease of Use (2 reviews) - Simple (2 reviews) - Cloud Integration (1 reviews) - Data Replication (1 reviews) - Easy Setup (1 reviews) **Cons:** - Error Reporting (1 reviews) - Information Deficiency (1 reviews) - Lack of Detail (1 reviews) - Logging Issues (1 reviews) - Poor Reporting (1 reviews) ### 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, highlighting its user-friendly interface and simple setup. - Users enjoy the **simple and easy setup** of DBSync Cloud Replication, appreciating its user-friendly interface and layout. - Users value the **seamless cloud integration** features of DBSync, effortlessly connecting Salesforce to MS SQL. - Users appreciate the **simple setup** and enjoy **real-time data replication** across multiple databases. - Users praise the **simple and easy setup** of DBSync Cloud Replication, enhancing efficiency for multiple databases. **Cons:** - Users find the **lack of visible user details in logs** frustrating, complicating error reporting and accountability. - Users find an **information deficiency** in DBSync Cloud Replication, as the command runner is not visible in logs. - Users find the **lack of detail** in logs concerning, as command runners are not easily identifiable. - Users face challenges with **invisible user logs** in DBSync Cloud Replication, complicating troubleshooting efforts. - Users find **poor reporting** in DBSync Cloud Replication, making it difficult to identify who executed commands. #### What Are Recent G2 Reviews of DBSync Cloud Replication? **"[User-Friendly UI Makes Tasks Effortless](https://www.g2.com/survey_responses/dbsync-cloud-replication-review-12051368)"** **Rating:** 5.0/5.0 stars *— Zamira E.* [Read full review](https://www.g2.com/survey_responses/dbsync-cloud-replication-review-12051368) --- **"[it's been 3 years of experience to use DBSync to replicate the data](https://www.g2.com/survey_responses/dbsync-cloud-replication-review-10514777)"** **Rating:** 5.0/5.0 stars *— Neelima P.* [Read full review](https://www.g2.com/survey_responses/dbsync-cloud-replication-review-10514777) --- #### What Are G2 Users Discussing About DBSync Cloud Replication? - [What is DBSync Cloud Replication used for?](https://www.g2.com/discussions/what-is-dbsync-cloud-replication-used-for) ### 16. [Prequel](https://www.g2.com/products/prequel/reviews) 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](https://www.g2.com/sellers/prequel) - **Year Founded:** 2021 - **HQ Location:** New York, US - **Twitter:** @prequel_co (110 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/prequel-co (11 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are Prequel's Pros and Cons? **Pros:** - Customer Support (1 reviews) - Ease of Use (1 reviews) - Setup Ease (1 reviews) - Time-saving (1 reviews) - User Interface (1 reviews) ### What Do G2 Reviewers Say About Prequel? *AI-generated summary from verified user reviews* **Pros:** - Users value the **top-tier customer support** of Prequel, enhancing the overall user experience and satisfaction. - Users find Prequel to be **super easy to use** , with a quick setup and seamless data export capabilities. - Users find the **setup process incredibly easy** , with quick initial setup and seamless data export capabilities. - Users appreciate the **time-saving features** of Prequel, as it simplifies data exports and enhances efficiency. - Users appreciate the **modern and clean UI** of Prequel, noting its efficiency and ease of use. #### What Are Recent G2 Reviews of Prequel? **"[Smooth and clean data exports for all customers](https://www.g2.com/survey_responses/prequel-review-11036983)"** **Rating:** 5.0/5.0 stars *— Killian B.* [Read full review](https://www.g2.com/survey_responses/prequel-review-11036983) --- **"[A better model for data transfer](https://www.g2.com/survey_responses/prequel-review-9470510)"** **Rating:** 5.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/prequel-review-9470510) --- ### 17. [360Science](https://www.g2.com/products/360science/reviews) 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](https://www.g2.com/sellers/360science) - **Year Founded:** 2002 - **HQ Location:** Needham Heights, Massachusetts, United States - **Twitter:** @360ScienceHQ (182 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/synitidata/ (1,593 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Mid-Market, 33% Enterprise #### What Are Recent G2 Reviews of 360Science? **"[Accelerating science behind a customer 360degree perspective](https://www.g2.com/survey_responses/360science-review-9025299)"** **Rating:** 4.0/5.0 stars *— CHARLES A.* [Read full review](https://www.g2.com/survey_responses/360science-review-9025299) --- **"[360 science Review](https://www.g2.com/survey_responses/360science-review-10197224)"** **Rating:** 5.0/5.0 stars *— Sanjay K.* [Read full review](https://www.g2.com/survey_responses/360science-review-10197224) --- ### 18. [Angles Enterprise for Oracle](https://www.g2.com/products/angles-enterprise-for-oracle/reviews) 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](https://www.g2.com/sellers/insightsoftware-f6b45d26-bff9-4340-b3b7-a2076e7bb544) - **Year Founded:** 2018 - **HQ Location:** Raleigh, North Carolina - **Twitter:** @insightsoftware (801 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/outcomes-by-insightsoftware/ (2,266 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 83% Enterprise, 33% Mid-Market #### What Are Recent G2 Reviews of Angles Enterprise for Oracle? **"[Angles for Oracle (Noetix Reporting)](https://www.g2.com/survey_responses/angles-enterprise-for-oracle-review-9897341)"** **Rating:** 5.0/5.0 stars *— Govind B.* [Read full review](https://www.g2.com/survey_responses/angles-enterprise-for-oracle-review-9897341) --- **"[Noetix Views and Analytics are flexible and great reporting solutions.](https://www.g2.com/survey_responses/angles-enterprise-for-oracle-review-9946893)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Games* [Read full review](https://www.g2.com/survey_responses/angles-enterprise-for-oracle-review-9946893) --- ### 19. [Ascend.io](https://www.g2.com/products/ascend-io-ascend-io/reviews) 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](https://www.g2.com/sellers/ascend-io-71765567-7679-4b4f-9ab8-867fdacc2bb6) - **Company Website:** https://www.ascend.io - **Year Founded:** 2015 - **HQ Location:** Palo Alto, California, United States - **LinkedIn® Page:** https://www.linkedin.com/company/ascend-io/ (21 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 56% Small-Business, 11% Mid-Market #### What Are Ascend.io's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Automation (5 reviews) - Efficiency Improvement (5 reviews) - Flexibility (4 reviews) - Solution Efficiency (4 reviews) **Cons:** - Difficult Learning (3 reviews) - Learning Curve (3 reviews) - Learning Difficulty (3 reviews) - Limited Features (3 reviews) - Steep Learning Curve (3 reviews) ### What Do G2 Reviewers Say About Ascend.io? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Ascend.io, enabling them to work smarter and faster with minimal intervention. - Users value the **automation capabilities** of Ascend.io, greatly reducing time spent on repetitive data engineering tasks. - Users benefit from **significant efficiency improvements** with Ascend.io, enabling faster data workflows and reduced manual oversight. - Users value the **flexibility** of Ascend.io, enabling smarter, faster solutions for data pipeline challenges without constraints. - Users value the **solution efficiency** of Ascend.io, enabling rapid data pipeline creation and reducing repetitive tasks significantly. **Cons:** - Users face a **difficult learning curve** transitioning to Ascend.io's declarative model from traditional coding practices. - Users face a significant **learning curve** transitioning to Ascend.io's declarative mindset and understanding its features. - Users experience a noticeable **learning difficulty** with Ascend.io, particularly when transitioning to its declarative model. - Users criticize the **limited features** of Ascend.io, noting challenges in model selection and usability. - Users face a **steep learning curve** transitioning to Ascend.io's declarative model, especially from imperative programming backgrounds. #### What Are Recent G2 Reviews of Ascend.io? **"[Agentic Data Engineering Shows Real Promise, But Requires Mental Shift](https://www.g2.com/survey_responses/ascend-io-review-12297132)"** **Rating:** 4.5/5.0 stars *— Stefano T.* [Read full review](https://www.g2.com/survey_responses/ascend-io-review-12297132) --- **"[Ascend.io demonstrates how powerful agents are](https://www.g2.com/survey_responses/ascend-io-review-12345212)"** **Rating:** 5.0/5.0 stars *— Alina V.* [Read full review](https://www.g2.com/survey_responses/ascend-io-review-12345212) --- ### 20. [BUCS](https://www.g2.com/products/bucs/reviews) 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?** - **Seller:** [BUCS Analytics](https://www.g2.com/sellers/bucs-analytics) - **Year Founded:** 2016 - **HQ Location:** Kansas City, US - **LinkedIn® Page:** https://www.linkedin.com/company/bucs-analytics/ (19 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Mid-Market, 30% Enterprise #### What Are BUCS's Pros and Cons? **Pros:** - Collaboration (4 reviews) - Customer Support (4 reviews) - Data Integration (3 reviews) - Ease of Use (3 reviews) - Easy Integrations (3 reviews) **Cons:** - API Issues (1 reviews) - Data Management Issues (1 reviews) - Dependency Issues (1 reviews) - Lack of Real-Time Data (1 reviews) - Sync Issues (1 reviews) ### What Do G2 Reviewers Say About BUCS? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **seamless collaboration** with BUCS, viewing them as an integral part of their data team. - Users praise the **responsive and knowledgeable customer support** of BUCS, quickly resolving issues with transparency. - Users value the **seamless data integration** of BUCS, enhancing efficiency and providing real-time insights effortlessly. - Users find BUCS to provide a **seamless and easy experience** , making data projects much more manageable. - Users value the **easy integrations** of BUCS, enhancing efficiency and streamlining data aggregation across systems. **Cons:** - Users face **limitations of the APIs** in BUCS, which can restrict functionality and user experience. - Users express concerns about **data management issues** , as updates from the ERP system are not real-time. - Users report **dependency issues** due to API limitations, impacting their overall experience with BUCS. - Users express frustration with the **lack of real-time data** , needing more immediate updates for effective decision-making. - Users report **sync issues** with BUCS, as updates from the ERP system aren't real-time and can be frustrating. #### What Are Recent G2 Reviews of BUCS? **"[Excellent partner, great data pipeline tool](https://www.g2.com/survey_responses/bucs-review-11222317)"** **Rating:** 5.0/5.0 stars *— Jack T.* [Read full review](https://www.g2.com/survey_responses/bucs-review-11222317) --- **"[BUCS is Amazing!](https://www.g2.com/survey_responses/bucs-review-11227370)"** **Rating:** 5.0/5.0 stars *— Austin S.* [Read full review](https://www.g2.com/survey_responses/bucs-review-11227370) --- ### 21. [Datazip](https://www.g2.com/products/datazip/reviews) 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?** - **Seller:** [Datazip, Inc.](https://www.g2.com/sellers/datazip-inc) - **Year Founded:** 2022 - **HQ Location:** Lewes, US - **LinkedIn® Page:** https://www.linkedin.com/company/datazipio/ (26 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 46% Small-Business, 31% Mid-Market #### What Are Recent G2 Reviews of Datazip? **"[Datazip platform is easy to use because it has a user-friendly interface(drag and drop option).](https://www.g2.com/survey_responses/datazip-review-7949232)"** **Rating:** 5.0/5.0 stars *— Sanjay D.* [Read full review](https://www.g2.com/survey_responses/datazip-review-7949232) --- **"[Datazip is all about visibility!](https://www.g2.com/survey_responses/datazip-review-8191979)"** **Rating:** 5.0/5.0 stars *— Aakarsh Y.* [Read full review](https://www.g2.com/survey_responses/datazip-review-8191979) --- ### 22. [ETL Framework](https://www.g2.com/products/etl-framework/reviews) 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](https://www.g2.com/sellers/toolsverse) - **HQ Location:** N/A - **Twitter:** @toolsverse (58 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 75% Small-Business, 25% Enterprise #### What Are Recent G2 Reviews of ETL Framework? **"[This is a Reliable ETL Solution!!!](https://www.g2.com/survey_responses/etl-framework-review-9936981)"** **Rating:** 4.5/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/etl-framework-review-9936981) --- **"[Best framework for data to extract and load unstructured data](https://www.g2.com/survey_responses/etl-framework-review-9986961)"** **Rating:** 4.5/5.0 stars *— Verified User in Information Services* [Read full review](https://www.g2.com/survey_responses/etl-framework-review-9986961) --- #### What Are G2 Users Discussing About ETL Framework? - [What is ETL Framework used for?](https://www.g2.com/discussions/what-is-etl-framework-used-for) ### 23. [ETLrobot](https://www.g2.com/products/etlrobot/reviews) 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](https://www.g2.com/sellers/etlrobot) - **Year Founded:** 2018 - **HQ Location:** Draper, US - **Twitter:** @EtLrobot (13 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/etlrobot/ (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Enterprise, 33% Small-Business #### What Are Recent G2 Reviews of ETLrobot? **"[Transfer our data from multiple sources into SQL Database](https://www.g2.com/survey_responses/etlrobot-review-4916347)"** **Rating:** 5.0/5.0 stars *— Elma N.* [Read full review](https://www.g2.com/survey_responses/etlrobot-review-4916347) --- **"[Great User Experience From A Much Needed Tool](https://www.g2.com/survey_responses/etlrobot-review-4418712)"** **Rating:** 5.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/etlrobot-review-4418712) --- #### What Are G2 Users Discussing About ETLrobot? - [What is ETLrobot used for?](https://www.g2.com/discussions/what-is-etlrobot-used-for) ### 24. [ETL tools](https://www.g2.com/products/etl-tools/reviews) 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?** - **Seller:** [DB Software Laboratory](https://www.g2.com/sellers/db-software-laboratory) - **Year Founded:** 2008 - **HQ Location:** Coventry, GB - **Twitter:** @etl_tools (81 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/etl-tools (3 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 33% Enterprise, 33% Mid-Market #### What Are ETL tools's Pros and Cons? **Pros:** - Automation (1 reviews) - Data Integration (1 reviews) - ETL Efficiency (1 reviews) ### What Do G2 Reviewers Say About ETL tools? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **automation of data integration** in ETL tools, simplifying complex processes for efficient data management. - Users appreciate the **seamless data integration** of ETL tools, simplifying complex processes for efficient data handling. - Users value the **ETL efficiency** of these tools, streamlining data integration for quick and effective processes. #### What Are Recent G2 Reviews of ETL tools? **"["Efficient Data Integration with Comprehensive ETL Capabilities"](https://www.g2.com/survey_responses/etl-tools-review-10299100)"** **Rating:** 5.0/5.0 stars *— Ramya E.* [Read full review](https://www.g2.com/survey_responses/etl-tools-review-10299100) --- **"[Quick & fast Transformation of Data](https://www.g2.com/survey_responses/etl-tools-review-7456797)"** **Rating:** 4.0/5.0 stars *— Himanshu S.* [Read full review](https://www.g2.com/survey_responses/etl-tools-review-7456797) --- ### 25. [JiVS](https://www.g2.com/products/jivs/reviews) 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?** - **Seller:** [Data Migration Services AG](https://www.g2.com/sellers/data-migration-services-ag) - **Year Founded:** 1996 - **HQ Location:** Kreuzlingen, CH - **Twitter:** @JiVSIMP (194 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/data-migration-services-ag (82 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 25% Mid-Market #### What Are JiVS's Pros and Cons? **Pros:** - Easy Access (1 reviews) ### 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 data management experience. #### What Are Recent G2 Reviews of JiVS? **"[A unique digital archive platform to archive all your data](https://www.g2.com/survey_responses/jivs-review-4456661)"** **Rating:** 5.0/5.0 stars *— Stephane B.* [Read full review](https://www.g2.com/survey_responses/jivs-review-4456661) --- **"[President](https://www.g2.com/survey_responses/jivs-review-9205139)"** **Rating:** 5.0/5.0 stars *— Verified User in Marketing and Advertising* [Read full review](https://www.g2.com/survey_responses/jivs-review-9205139) --- #### What Are G2 Users Discussing About JiVS? - [What is JiVS used for?](https://www.g2.com/discussions/what-is-jivs-used-for) ## 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