Best ETL Tools - Page 16

How Many ETL Tools Products Does G2 Track?

Total Products under this Category: 285

Category Stats (Oct 2026)

  • Average Rating: 4.55/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: csvbox.io (+1.01%) - Among all products in this category, csvbox.io recorded the largest rating increase compared to last month

Last updated: October 13, 2026

How Does G2 Rank ETL Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 20,200+ Authentic Reviews
  • 285+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for ETL Tools

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

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

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

Infosistema DMM

#1 DATA MIGRATION SOLUTION FOR OUTSYSTEMS The primary goal of the Data Migration Manager (DMM) is to streamline and simplify the complex process of migrating data in OutSystems, reducing the risks and manual effort typically associated with such tasks. Key features and functions of the DMM include: 1) Automated Data Migration: It automates the process of transferring data from one system to another, ensuring accuracy and efficiency. 2) Support for Multiple Data Sources: The DMM can handle data from various sources, making it versatile for different migration needs. 3) Data Transformation: It allows for data transformation during the migration process, enabling the data to be reformatted and cleansed as needed. 4) Scalability: The product is scalable, capable of handling large volumes of data migration, which is crucial for enterprises with significant data assets. 5) Minimized Downtime: The DMM is designed to minimize downtime during the migration process, ensuring business continuity. 6) Compliance and Security: It ensures that the data migration process complies with relevant regulations and maintains data security throughout the migration. In resume: - Improve up to 46x data migration speed. Migrate, import, export, delete and anonymize data and BPTs (workflows) in the OutSystems platform! Freemium: download directly from the OutSystems FORGE (search for DMM) the FREE version. Trial version is also available for free (contact sales@infosistema.com). See product details on our site: https://www.infosistema.com/data-migration-manager/

Who Is the Company Behind Infosistema DMM?

Infoworks Autonomous Data Engine

The Infoworks Autonomous Data Engine automates data engineering for end-to-end big data workflow processes from ingestion all the way to consumption, helping customers implement to production in days using 5x fewer people.

Who Is the Company Behind Infoworks Autonomous Data Engine?

  • Seller: Infoworks
  • Year Founded: 2008
  • HQ Location: Palo Alto, US
  • LinkedIn® Page: www.linkedin.com
    38 employees on LinkedIn®

IRI CoSort

IRI CoSort® is a fast, affordable, and easy-to-use sort/merge/report utility, and a full-featured data transformation package. The world's first sort product off the mainframe, CoSort continues to deliver maximum price-performance and functional versatility for the manipulation of big data sources. CoSort also powers the IRI Voracity data management platform and many third-party applications.

Who Is the Company Behind IRI CoSort?

  • Seller: IRI
  • Year Founded: 1978
  • HQ Location: Melbourne, US
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

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How it works

IRI Voracity

IRI Voracity is a unified, enterprise-grade data management platform designed for end-to-end data discovery, integration (ETL/ELT), governance, migration, test data management, and AI data preparation. Developed by Innovative Routines International (IRI), Voracity consolidates multiple standalone data tools into a single operational stack powered by the high-performance IRI CoSort manipulation engine. Core Architecture & Execution Model Voracity utilizes an in-memory, single-pass processing framework to maximize throughput and eliminate infrastructure overhead: * In-Memory Single-Pass Engine (CoSort): Instead of staging intermediate data across temporary database tables or disk storage, Voracity executes multi- threaded data transformation, sorting, joining, data quality filtering, and masking simultaneously in-memory. * IRI Workbench IDE: Jobs are managed and built in IRI Workbench, an Eclipse-based integrated development environment featuring visual workflow designers, schema mappers, dialog wizards, and syntax-aware text editors. * Metadata-Driven 4GL (SortCL): Job definitions use open, human-readable SortCL (Sort Control Language) text scripts, allowing direct integration into Git repositories, CI/CD automation pipelines, and modern DevOps tools without proprietary repository lock-in. Automated Data Classification & Discovery Before applying protection or pipelines, Voracity uses a centralized data labeling framework within IRI Workbench: * Unified Data Classification: Users automatically scan and map corporate data sources to establish shared data classes and groups tailored to specific privacy laws (e.g., GDPR, HIPAA) or sensitivity levels. * Persistent Masking Logic: Once data classification rules are mapped to a specific data class, those exact rules are reused consistently across all integration, synthesis, and anonymization workflows, preserving referential integrity. Key Functional Capabilities * Test Data Management (TDM) & Privacy (RowGen, FieldShield, DarkShield): o Synthetic Data Generation (IRI RowGen): Creates referentially intact, highly realistic synthetic test datasets from scratch using data dictionaries, DDLs, and custom business logic, removing production privacy risks entirely. o Advanced Structured Governance (IRI FieldShield): Connects to structured databases, flat files, ASN.1-compatible call detail records (CDRs), legacy COBOL files, and Excel spreadsheets. While other engines mask data, FieldShield uniquely scales to support advanced business logic, conditional rules, and statistical re-identification (re-ID) risk scoring to calculate and mitigate information leakage from quasi-identifiers. o Multi-Source & Semi-Structured Security (IRI DarkShield): Built to scan and redact PII/PHI hidden in unstructured text, PDFs, logs, and images, as well as complex semi-structured formats like JSON, XML, NoSQL collections, and Kafka streams. Additionally, DarkShield is highly capable of executing structured data masking in relational databases, sharing the same data classification matching patterns as FieldShield. * AI, Machine Learning & LLM Data Preparation: o Feature Engineering & Cleansing: Aggregates, normalizes, standardizes, and cleanses massive multi-source datasets to feed downstream ML training pipelines. o Textual ETL & Compliant RAG Pipelines: Sanitizes enterprise documents, semi-structured logs, and free-text streams while extracting structured attributes via textual ETL to build clean, compliant vector databases for Retrieval- Augmented Generation (RAG) and LLM fine-tuning. o Synthetic Training Sets: Utilizes RowGen to generate synthetic training data to balance edge-case distributions and mitigate data scarcity without violating privacy regulations. * Real-Time Change Data Capture & Sync (IRI Ripcurrent): o Tracks transactional log changes across relational engines (Oracle, SQL Server, MySQL, PostgreSQL) to capture inserts, updates, and deletes in real time. o Dynamically applies FieldShield data masking rules in-flight during replication streams to protect sensitive targets. * Data Integration (ETL/ELT) & Data Quality: o Connects natively across relational databases, NoSQL engines, cloud object stores (S3, Azure Blob, GCS), message queues (Kafka, MQTT), and legacy mainframe files (VSAM, ISAM, EBCDIC). o Applies validation, data scrubbing, deduplication, and schema standardizations directly within the ETL flow. Operational Security & Job Governance (IRI OGS) To ensure enterprise-level compliance and control across data management workflows, Voracity can be paired with the IRI Operational Governance System (OGS) runtime framework. OGS wraps around SortCL-driven execution jobs to enforce job and data access control policies, verify the integrity of job scripts, and capture granular audit logs, giving compliance and security teams full accountability across all transformation, migration, and masking jobs. Why Choose Voracity Over Traditional Data Stacks * Consolidated Tool Footprint: Replaces fragmented licenses for standalone ETL, data masking, quality, CDC, and test data management software with a unified runtime and design interface. * High-Throughput Transformation: Reduces hardware utilization and eliminates staging bottlenecks via multi-threaded, in-memory processing. * DevOps & Git-Friendly: Bypasses proprietary binary repositories in favor of plain-text, version-controllable SortCL scripts.

Who Is the Company Behind IRI Voracity?

  • Seller: IRI
  • Year Founded: 1978
  • HQ Location: Melbourne, US
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

MacSonik IMAP to Office 365 Migration Tool

MacSonik IMAP to Office 365 Migration Tool is a professional email migration solution designed to transfer mailbox data directly from IMAP-enabled email accounts to Microsoft Office 365 without requiring Outlook or PST staging. It supports popular email services such as Gmail, Yahoo Mail, Zoho Mail, GoDaddy, iCloud, Yandex, AOL, and custom IMAP servers. The software enables users to migrate single or multiple IMAP mailboxes efficiently while preserving the original folder hierarchy and email content. Its bulk migration capabilities allow administrators to import multiple accounts through CSV and map source mailboxes to Office 365 accounts using One-to-One, One-to-Many, Many-to-One, or Many-to-Many configurations.

Who Is the Company Behind MacSonik IMAP to Office 365 Migration Tool?

  • Seller: MacSonik
  • Year Founded: 2020
  • HQ Location: Noida, IN
  • Twitter: @macsonik1
    5 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3 employees on LinkedIn®

Match Data Pro

At Match Data Pro, our core focus is data matching and entity resolution — but our platform goes far beyond that: We’ve built MDP to empower organizations with a smarter, scalable, and secure environment for managing data across teams, systems, and workflows. Whether you’re cleansing, profiling, enriching, or deduplicating data, MDP is designed to support multi-user collaboration, process automation, and high-confidence data preparation. Our all-in-one suite helps you move, manage, and make data fit-for-purpose — seamlessly across cloud, on-premises, and hybrid environments. Let Match Data Pro help you unlock the full potential of your data — confidently, collaboratively, and at scale. Connect and sync data from disparate systems and formats Cloud API and integrations Pre-built connectors Streamline management of integrations and workflows from a clean, intuitive dashboard, no coding required Replicate and synchronize data across disparate source and target systems Data quality tools Connect data from disparate systems to create relationships and 360 views of any data domain Master Data Management tools allowing you to standardize, clean and deduplicate records at scale with rules that prevent bad data from entering your disparate systems Custom data processing and workflow creation and automation with reusable projects, reusable rules, version control, scheduling, webhooks, and REST API triggers Empowering teams to collaborate with multiuser capabilities by creating users and teams to share and collaborate with projects and permissions, securely across the organization

Average Rating: 5.0/5.0

Total Reviews: 4

How Do G2 Users Rate Match Data Pro?

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

Who Is the Company Behind Match Data Pro?

Who Uses This Product?

  • Company Size: 50% Small, 25% Large

What Do G2 Reviewers Say About Match Data Pro?

AI-generated summary from verified user reviews

Pros
  • Users commend the efficient data cleaning capabilities of Match Data Pro, enabling effective results and user empowerment.
  • Users appreciate the ease of use of Match Data Pro, especially benefiting from its intuitive design and helpful support.
  • Users benefit from the empowering learning experience provided by Match Data Pro, enhancing their data matching skills effectively.
  • Users value the automation in Match Data Pro, which streamlines complex matching processes and enhances productivity.
  • Users commend the dedicated customer support at Match Data Pro, ensuring a smooth learning experience and timely assistance.

What Are Recent G2 Reviews of Match Data Pro?

MavenDX

MavenDX is a data integration and migration platform designed to help organizations connect, transform, validate, and move data between enterprise systems. The platform provides a visual environment for creating data integration workflows without requiring complex coding for every integration task. Users can configure connections, define data mappings, apply transformation logic, and validate workflows before execution. MavenDX supports data integration scenarios across systems such as PLM, ERP, MES, SCM, and CRM. Its workflow-based approach allows users to organize data processing activities and manage the flow of information between source and target systems. The platform includes features for schema browsing, data mapping, transformation, workflow validation, and workflow execution. Users can monitor processing jobs and review job trends to understand workflow activity and execution status. MavenDX can be used for data migration, system integration, data transformation, and data aggregation requirements where information needs to be exchanged between multiple enterprise applications.

Who Is the Company Behind MavenDX?

MDIS Data Management

MDIS Data Management is a metadata-driven ETL and data integration solution developed by Paspara for SAS environments. It automates data processing, orchestration, validation, and historization while reducing manual coding. Compatible with SAS 9 and SAS Viya, MDIS helps organizations accelerate data integration, improve data quality, optimize performance, and simplify the management of complex enterprise data environments.

Who Is the Company Behind MDIS Data Management?

  • Seller: Paspara
  • Year Founded: 1990
  • HQ Location: Vilnius, LT
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

MultiSync Made Easy

𝐌𝐮𝐥𝐭𝐢𝐒𝐲𝐧𝐜 𝐌𝐚𝐝𝐞 𝐄𝐚𝐬𝐲 streamlines platform integration with its native ETL solution, enabling seamless synchronization in seconds. Designed to effortlessly connect systems like 𝐀𝐬𝐚𝐧𝐚, 𝐙𝐨𝐡𝐨, 𝐂𝐥𝐢𝐜𝐤𝐔𝐩, and 𝐀𝐠𝐞𝐧𝐝𝐨𝐫 to Salesforce, it simplifies the integration process for businesses. Its user-friendly interface and real-time data sync make it the ideal choice for organizations looking to unify multiple platforms into a single hub. 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 & 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Achieve faster, smoother integration of multiple platforms, ensuring long-term scalability. 𝐁𝐨𝐨𝐬𝐭 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲: Stay ahead of trends by streamlining data management and increasing business efficiency. 𝟑𝟔𝟎° 𝐃𝐚𝐭𝐚 𝐕𝐢𝐞𝐰: Gain comprehensive insights into your business activities with MultiSync Made Easy, enabling better data analysis. 𝐑𝐨𝐛𝐮𝐬𝐭 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲: Our platform adheres to strong encryption standards, safeguarding your business and customer data.

Who Is the Company Behind MultiSync Made Easy?

NavAI

NavAI.com is a revolutionary AI-driven data analytics and business intelligence platform .

Who Is the Company Behind NavAI?

  • Seller: NavAI
  • Year Founded: 1999
  • HQ Location: Ellicott City, us
  • Twitter: @NavAIofficial
    24 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

NexNow Data Migration

Nexnow is the data expert you need. We know the connectwise database inside and out. We're experts when it comes to getting data in and out of the system, effectively and without friction. We remove the barriers that are keeping your data stagnant and siloed.

Who Is the Company Behind NexNow Data Migration?

  • Seller: NexNow
  • Year Founded: 2011
  • HQ Location: Charleston, US
  • LinkedIn® Page: www.linkedin.com
    4 employees on LinkedIn®

Octave Databridge Pro

Octave Databridge Pro (formerly Databridge Pro) simplifies how data moves through your organization. It connects systems, automates data processing and provides end-to-end visibility so teams can make better decisions with accurate, real-time information.

Who Is the Company Behind Octave Databridge Pro?

ODBC Driver for ServiceNow

Who Is the Company Behind ODBC Driver for ServiceNow?

  • Seller: Devart
  • Year Founded: 1997
  • HQ Location: Wilmington, Delaware, USA
  • Twitter: @DevartSoftware
    1,736 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    252 employees on LinkedIn®
Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026