Best ETL Tools - Page 15

Graph.Build

Graph.Build allows you to create graph models, including knowledge graphs using your own data (or no data) from sources ranging from files such as csv and xml through to SQL databases and many more a visual drag-and-drop no-code interface . You can then publish to a huge range of graph databases from popular vendors. Transformers and Writers serve as the adapters for the visual editor so that you can customise the setup for your needs both for data import and on-going graph data pipelines. It combines ETL, graph modelling, ontology management and publishing all in one platform, you can think of it as an IDE for graph data production.

Growth FullStack

Growth FullStack is an ETL product that allows mobile developers to: -Collect the data that they need (from sources such as SKAdNetwork, Applovin, and many others) -Store it in the way they want (using destinations like Google BigQuery, Amazon S3 and others) -Gain insights via intuitive dashboards built on top of the data (with analyses tools such as Metabase, Tableau and others) -And receive a training on how to use the tools to maximize insights! The platform is designed to turn data into powerful insights for mobile developers so that they can drive growth for their business. By providing them with a fully automated data pipeline, we empower mobile publishers to focus on building great games without spending time and resources dealing with complex datasets and hiring in-house data engineering teams.

i2Stream

i2stream is a high-performance, real-time data integration and replication solution developed by Info2soft. It leverages advanced Change Data Capture (CDC) and semantic-level replication technologies to replicate data seamlessly across heterogeneous environments with sub-second latency. Whether you are migrating to the cloud, synchronizing distributed databases, or inject real-time data into your analytics engine, i2stream ensures your data is exactly where it needs to be—without impacting the performance of your production systems. Key Capabilities -Log-Based Change Data Capture (CDC): Capture data changes directly from database redo logs or archive logs, ensuring zero impact on your source application’s performance. -Heterogeneous Environment Support: Bridge the gap between diverse platforms. i2stream supports replication across Oracle, MySQL, SQL Server, PostgreSQL, DB2, MongoDB, and more. -High-Speed Data Transmission: Optimized for large-scale data volumes, providing stable, high-bandwidth data movement even over long distances or unstable network conditions. -Data Integrity & Consistency: Built-in verification mechanisms ensure that source and target data remain perfectly synchronized, maintaining strict transactional consistency. -Visual Management Interface: Ditch the complex scripts. Manage your entire data pipeline through an intuitive, web-based dashboard that offers real-time monitoring and alerting.

ibi Data Migrator

ibi™ Data Migrator is an ETL tool designed to facilitate and automate the extraction and integration of data from myriad sources. At various points during the process, from source extraction through target load, data is transformed through the application of business rules. Once the transformation is complete, the data is loaded into table structures that have been optimized for a particular application.

infoCorvus ROAD

ROAD is an advanced data lifecycle platform that can 1) Retire legacy applications that are kept only for compliance. (reduces TCO) 2) Automate data conversion for application modernization (legacy to SaaS) 3) Democratize Data Ingestion to data warehouses and data lakes 4) Discover sensitive data 3) Data lineage and data cataloging

INFOFISCUS Snowflake Native Application - Marketo Connector

The INFOFISCUS Marketo Connector is a pre-built and comprehensive solution available as a Native Application in the Snowflake Marketplace. Infometry’s Marketo Connector Snowflake Native App is crafted to eliminate the complexities of Marketo connectivity, APIs, and drivers. Instead of investing time and resources in designing an optimal pipeline, you can now efficiently synchronize your Marketo data with Snowflake in near real-time. With INFOFISCUS, your data moves smoothly from Marketo to Snowflake, enabling you to build powerful analytical layers from your landing tables. Key Highlights - Efficient and near real-time data ingestion from Marketo to Snowflake. - Seamlessly integrated for always up-to-date data. - Select specific Marketo objects and customize sync frequency. - Regular updates with new features for agile data strategy. - Infometry ensures data integrity and security. Visit our Website - https://www.infometry.net/product/marketo-to-snowflake-connector/ Snowflake Marketplace - https://app.snowflake.com/marketplace/listing/GZSTZ3867UG/infometry-infofiscus-marketo-connector?originTab=provider&providerName=Infometry&profileGlobalName=GZSTZ3867OQ

Informatica

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/

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.

Ingestion

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.

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.

iVIEW for SAP

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

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.