Top Free ETL Tools - Page 8

How Many ETL Tools Products Does G2 Track?

Total Products under this Category: 281

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: Adeptia (+1.1%) - Among all products in this category, Adeptia recorded the largest rating increase compared to last month

Last updated: October 07, 2026

How Does G2 Rank ETL Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 20,000+ Authentic Reviews
  • 281+ 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, Domo, Informatica Data Integration and Engineering, FME Platform, and Fivetran.

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=domo&focus%5B%5D=informatica-data-integration-and-engineering&focus%5B%5D=fme-platform&focus%5B%5D=fivetran)

Lenses

Lenses is the Developer Experience for enterprises to work with every Apache Kafka-based technology, in one place. Trusted by Europcar, Adidas, Daimler and Kandji, Lenses simplifies data streaming across hybrid and multi-cloud environments, giving engineers the autonomy to explore, integrate, and govern data -- and modernize their applications with ease: - Efficiently find, explore, process, integrate and govern streams with a data catalog, SQL studio and SQL stream processors - Confidently share, migrate and back up data streams across any cloud or environment with the Kafka to Kafka replicator - Lenses K2K - Reduce the manual burden of Kafka operations with Lenses AI Agents. Product Website www.lenses.io

Average Rating: 4.2/5.0

Total Reviews: 17

How Do G2 Users Rate Lenses?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 9.1/10)

Who Is the Company Behind Lenses?

  • Seller: Lenses.io Ltd
  • Company Website:
  • Year Founded: 2016
  • HQ Location: London, England
  • Twitter: @lensesio
    732 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 47% Large, 35% Medium

What Do G2 Reviewers Say About Lenses?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Lenses, finding it simplifies data visualization and stream management.
  • Users appreciate the simple and effective user interface of Lenses, making navigation and work enjoyable.
  • Users value the user-friendly interface of Lenses, appreciating its clear visualization and SQL querying for Kafka resources.
  • Users appreciate the intuitive design of Lenses, enhancing their productivity and making Kafka more accessible.
  • Users appreciate the dependable data management of Lenses, finding it simple and effective for their workflow.
Cons
  • Users are concerned about feature limitations leading to potential vendor lock-in and limited future flexibility.
  • Users express concern over the risk of vendor lock-in and stagnant development, limiting future flexibility and improvements.
  • Users feel that limited access to features leads to vendor lock-in, affecting flexibility and future interoperability.
  • Users find Lenses lacking essential features and improvements, resulting in a stagnant user experience over the years.
  • Users express concern over the product maturity of Lenses, citing unresolved bugs and a lack of documentation and innovation.

What Are Recent G2 Reviews of Lenses?

Nirvana

Nirvana Integration Platform, by Distilled Data. The Easiest, Fastest and Most Budget Friendly Integration Solution. What Makes our NetSuite Connector The Best? We have custom built our NetSuite connector to utilize SOAP, REST and SuiteQL interfaces. But it goes a lot further than that.​ We have mastered NetSuite's API integration capabilities. Not every object is available in NetSuite's interfaces. Some objects are accessible via SOAP, some are in REST and if you want really fast data extraction from NetSuite, we use NetSuite's query language SuiteQL. We are the only solution which has studied, tested, vetted and continuously improves this magical recipe. We are the Michelin Star Chefs of the NetSuite extraction interfaces. http://distilleddata.io

Average Rating: 5.0/5.0

Total Reviews: 3

How Do G2 Users Rate Nirvana?

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

Who Is the Company Behind Nirvana?

  • Seller: Distilled Data
  • Year Founded: 2020
  • HQ Location: San Rafael, US
  • Twitter: @distilleddata
    2 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Medium, 33% Small

What Are Recent G2 Reviews of Nirvana?

Note API Connector

Note API Connector helps you to import and sync data from any API into Notion. No coding required. You can pull in live data from any app or online service and instantly sync it with Notion. Track project updates, fetch financial reports, or keep up with stock prices—automatically. With scheduled runs, you can automate data imports into Notion at your preferred intervals. Whether it's every hour, every 5 minutes, or at custom times, your Notion workspace will always stay up to date.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Note API Connector?

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

Who Is the Company Behind Note API Connector?

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About Note API Connector?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the easy API integration of Note API Connector, which significantly streamlines workflows and saves time.
  • Users highlight the automation capabilities of Note API Connector, significantly streamlining their workflows and saving time.
  • Users appreciate the responsive and helpful customer support of Note API Connector, enhancing their integration experience.
  • Users appreciate the ease of use of Note API Connector, effortlessly integrating it into their workflows.
  • Users find the ease of use and quick implementation of Note API Connector greatly enhances their workflow efficiency.
Cons
  • Users report limited UI customization options, wishing for greater flexibility in data presentation on the platform.

What Are Recent G2 Reviews of Note API Connector?

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Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

How it works

Pipestream

Pipestream is a powerful data pipeline tool that connects your website with BigQuery through Google Analytics to capture real-time hits in the shortest, fastest way possible, within 60 seconds. Pipestream enables you to capture unsampled raw first party data directly into your BigQuery data warehouse powering your business with agility to respond to market trends, personalise user experience, identify anomalies and report campaign performance in real-time.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind Pipestream?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Pipestream?

What Are G2 Users Discussing About Pipestream?

Rayven

What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top. It is the platform for organisations that need to act on operational data in real-time, deploy AI that actually works in production + build software that fits the way their business operates - without replacing existing systems or waiting 18 months for results. The Problem Rayven Solves Most organisations already have the systems and data they need. The challenge is fragmentation. ERP systems, SCADA platforms, IoT devices, databases, cloud tools, and files all generate valuable data - but it sits in silos, impossible to act on in real-time. The result: manual reporting, disconnected workflows, and AI projects that fail before reaching production. Industry research shows 95% of AI projects never ship - most because the underlying data layer is not clean, connected, or ready. Rayven builds that foundation first, then activates it. The Rayven Platform Rayven operates across five unified layers, delivered as a single managed environment: - Integration: More than 600 pre-built connectors pull data from IT, OT, IoT, files, APIs, databases, and data streams - bidirectionally, in real-time. Connects industrial protocols (OPC UA, Modbus, MQTT, BACnet) alongside cloud platforms, business systems, and proprietary tools. - Data: All connected data lands in a single managed platform - structured, governed + AI-ready. Real-time processing, ETL pipelines, data lakes, and AI model training handled in one place. - Execution: Automation rules, predictive models + agentic AI run directly on live operational data. Rules-based logic, machine learning, and goal-seeking autonomous agents all operate in one execution environment. - Presentation: Custom apps, dashboards, portals, conversational interfaces, and mobile applications deployed from the same platform - built for specific workflows, not generic reporting. - Security, Governance + Hosting: Role-based access control, data lineage, audit trails, AES-256 encryption, data residency controls, and enterprise-grade infrastructure - included as standard. AI Capabilities Rayven includes ten native AI capabilities built directly into the platform: 1. Custom AI agents (goal-seeking, action-taking) 2. Predictive analytics and machine learning 3. Conversational analytics 4. Real-time and continuous model training 5. AI-led workflow automation 6. Multimodal processing (documents, video, images, audio) 7. Anomaly and risk detection 8. Forecasting and optimisation 9. Vision and edge AI inference 10. Generative operational summaries MCP server support enables direct connectivity for AI models including Claude, GPT, and others. What Gets Built Rayven customers build and deploy: - Custom operational apps and field applications. - AI agents that monitor conditions, detect anomalies + take corrective action autonomously. - Predictive maintenance and performance models running on live plant data. - Real-time dashboards and executive reporting tools. - Workflow automations spanning IT and OT systems. - Customer and partner portals. - Data pipelines and integration layers. - White-label software products delivered under partner brands. Key Differentiators vs. Point solutions (Zapier, MuleSoft, Power BI, DataRobot): point solutions do one thing well but force teams to stitch together five separate tools to cover integration, data, AI, presentation, and governance. Rayven replaces the stack. vs. Traditional enterprise platforms (SAP, Oracle, Palantir): enterprise platforms take 12-18 months and seven figures to implement. Rayven deploys in two to 12 weeks at fixed scope and fixed price. vs. Low-code app builders (Mendix, OutSystems): app builders handle the presentation layer but do not solve the underlying data and integration problem. Rayven covers the full stack. Technology Compatibility Rayven is fully technology-agnostic and works alongside existing systems: - Cloud platforms: Microsoft Azure, Google Cloud + AWS - Business systems: SAP, Salesforce, Oracle, and Microsoft 365 - OT platforms: Siemens, Rockwell, Schneider Electric, and Ignition - Industrial protocols: OPC UA, Modbus, MQTT, BACnet, and EtherNet/IP - IoT devices: any device with a data output - Custom and proprietary systems via API, webhook, or direct connector Nothing needs to be replaced. Every existing investment is preserved. Who Uses Rayven Rayven serves businesses from growth-stage to large enterprise across 24+ industries globally - manufacturing, mining, construction, infrastructure, logistics, utilities, financial services, healthcare, agriculture, government, and more. Customers across Australia, Europe, North America, South America, and Africa. Named customers include Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack, and AngloGold Ashanti. Delivery Options - DIY: Full platform access. Internal teams build and deploy independently. - Done-For-You: Australia-based delivery team. Fixed scope, fixed price, two to 12 weeks from brief to go-live. - Hybrid: Guided delivery first, with the customer's team taking increasing ownership over time. By the Numbers - More than 600 pre-built connectors. - Ten native AI capabilities. - More than 240 deployments live globally. - Rated 5/5 across more than 140 independent reviews. - Deploys 66% faster than traditional development. - Two to 12 weeks to first working solution. - Rayven exists to close the gap: 95% of AI projects never reach production (industry average).

Average Rating: 4.9/5.0

Total Reviews: 29

How Do G2 Users Rate Rayven?

  • Automation: 10.0/10 (Category avg: 9.0/10)
  • Scalability: 10.0/10 (Category avg: 8.7/10)
  • Auditing: 10.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Rayven?

  • Seller: Rayven
  • Year Founded: 2016
  • HQ Location: Sydney, AU
  • Twitter: @RayvenIOT
    56 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Retail
  • Company Size: 69% Medium, 52% Small

What Do G2 Reviewers Say About Rayven?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Rayven, allowing seamless integration and workflow creation without coding skills.
  • Users value Rayven for its real-time data integration and seamless unification of various tools into one efficient system.
  • Users value Rayven's automation capabilities, enabling seamless integration and real-time data unification for improved performance tracking.
  • Users value the customization capabilities of Rayven, enabling tailored solutions to meet specific healthcare needs seamlessly.
  • Users value the robust data management of Rayven, enabling real-time processing and efficient automation across diverse systems.
Cons
  • Users report a steep initial learning curve due to complex setups and the need for technical knowledge.
  • Users find the difficult learning curve challenging due to overwhelming initial setup and complex feature configurations.
  • Users find the learning difficulty challenging due to the overwhelming initial setup and complex configuration processes.
  • Users find the complex setup of Rayven challenging, necessitating extensive planning for effective use and integration.
  • Users find the setup complexity challenging, often needing extra support for advanced integrations and configurations.

What Are Recent G2 Reviews of Rayven?

Streamkap

Streamkap is a change data capture platform for syncing data in real-time from databases to a number of destinations including data warehouses, data lakes and real-time destinations.

Average Rating: 5.0/5.0

Total Reviews: 4

How Do G2 Users Rate Streamkap?

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

Who Is the Company Behind Streamkap?

  • Seller: Streamkap, Inc
  • Year Founded: 2022
  • HQ Location: San Francisco, US
  • Twitter: @Streamkap
    96 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Streamkap?

Board Connector

Board Connector is Theobald Software's dedicated SAP interface for the Board platform, giving simulation, analysis, and planning teams direct access to SAP data without an additional data warehouse or complex ETL processes. Business users configure SAP extractions independently via a graphical designer, without relying on IT resources. The connector supports a broad range of SAP objects — tables, BAPIs, queries, reports, and BW cubes, including Table CDC for delta loads — and integrates seamlessly with BI tools, data warehouse platforms, and cloud environments. A built-in statistics dashboard gives full transparency into extraction volumes, error rates, and throughput directly within the Board Connector Designer, helping teams monitor and optimize their SAP data flows as usage scales. Learn more and try it for free: https://theobald-software.com/en/board-connector

Who Is the Company Behind Board Connector?

  • Seller: Theobald Software
  • Year Founded: 2004
  • HQ Location: Stuttgart, DE
  • LinkedIn® Page: www.linkedin.com
    61 employees on LinkedIn®
  • Phone: +49 (0) 7 11 / 46 05 99 0

CONVAYR

An Integration Solution You Can Afford. Integrate the systems within your business. Access the full target system schemas to map and transform the source data on a scheduled or ad hoc basis. Powerful mapping capabilities allow the transformation of data, including querying the target system in the mapping to enable any transformation imaginable into the target systems. Full cron scheduling of jobs including customisable system downtime, dependencies between connections and deployment via email to allow self-service within the business.

Who Is the Company Behind CONVAYR?

Crosser

Crosser designs and develops a hybrid-first Streaming Analytics & Integration software for any Cloud, On-premise or Edge. The Crosser Platform enables real-time processing of streaming, event-driven or batch data for Intelligent Pipelines & Automations and for Industrial IoT. All managed from a single Control Center and powered by a low-code and low-effort experience.

Average Rating: 4.5/5.0

Total Reviews: 2

Who Is the Company Behind Crosser?

Who Uses This Product?

  • Company Size: 50% Small, 50% Large

What Are Recent G2 Reviews of Crosser?

Definite

Definite is an all-in-one data analytics platform that combines a managed data warehouse, ELT pipelines, semantic layer, and business intelligence in a single product. Teams connect data sources using 500+ pre-built connectors for CRMs, payment platforms, marketing tools, databases, and spreadsheets. Definite automatically ingests, stores, and models the data in a managed data warehouse powered by DuckDB. Users analyze data and build dashboards using Fi, an AI-powered analytics assistant. Fi translates natural language questions into SQL queries and returns visualizations, summaries, and insights without requiring technical expertise. Key capabilities: - Managed cloud data warehouse - 500+ pre-built data connectors and ELT pipelines - Semantic layer for reusable metrics and data modeling - AI-powered natural language querying (no SQL required) - Interactive dashboards and data visualizations - Automated reporting to Slack, email, and Google Sheets - Embeddable analytics and white-label dashboards Built for: Startups, small businesses, and lean data teams who need modern data analytics without managing a complex stack of tools like Snowflake, Fivetran, dbt, and Tableau.

Average Rating: 4.0/5.0

Total Reviews: 1

Who Is the Company Behind Definite?

  • Seller: Definite
  • Year Founded: 2023
  • HQ Location: Wilmington, US
  • Twitter: @definiteapp
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About Definite?

AI-generated summary from verified user reviews

Pros
  • Users praise the AI integration of Definite for simplifying data analysis and enhancing productivity significantly.
  • Users find the API integration of Definite easy to set up, making data pipelines reliable and efficient.
  • Users value the customization options in Definite, making integration and setup both seamless and reliable.
  • Users find Definite's ease of use exceptional, allowing seamless setup and reliable data pipeline integrations.
  • Users appreciate the easy integrations of Definite, enabling quick setup of reliable data pipelines and platforms.

What Are Recent G2 Reviews of Definite?

Etlworks Integrator

The Etlworks Integrator is a modern, cloud-first, any-to-any data integration platform that scales with the business. It can connect to business applications, databases, structured, semi-structured, and unstructured data of any type, shape, and size. You can create, test, and schedule very complex data integration and automation scenarios and data integration APIs in no time, right in the browser, using an intuitive drag-and-drop interface, scripting languages, and SQL. The Etlworks Integrator supports real-time change data capture (CDC) from all major databases, EDI transformations, and many other fundamental data integration tasks. Most importantly, it really works as advertised.

Who Is the Company Behind Etlworks Integrator?

  • Seller: Etlworks
  • Year Founded: 2016
  • HQ Location: Pittsburgh, US
  • Twitter: @etlworks
    480 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Extract

The world’s most efficient data pipeline—powered by Rust. Extract offers lightning-fast, flexible data movement with an intuitive UI, powerful APIs, and rock-solid debugging—at ridiculously affordable rates. Extract is purpose-built for data teams that demand cost efficiency, high performance, and deep customization. Whether you’re a data engineer managing complex pipelines, an analytics engineer shaping transformations, or a data analyst driving insights, Extract delivers performance that exceeds expectations.

Who Is the Company Behind Extract?

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

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?

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®

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