Alternatives to Altova MapForce

Experience Semarchy’s flexible unified data platform to empower better business decisions enterprise-wide. With xDM, you can discover, govern, enrich, enlighten and manage data. Rapidly deliver data-rich applications with automated master data management and transform data into insights with xDM. The business-centric interfaces provide for the rapid creation and adoption of data-rich applications. Automation rapidly generates applications to your specific requirements, and the agile platform quickly expands or evolves data applications.

Improvado, an ETL solution, facilitates data pipeline automation for marketing departments without any technical skills. This platform supports marketers in making data-driven, informed decisions. It provides a comprehensive solution for integrating marketing data across an organization. Improvado extracts data form a marketing data source, normalizes it and seamlessly loads it into a marketing dashboard. It currently has over 200 pre-built connectors. On request, the Improvado team will create new connectors for clients. Improvado allows marketers to consolidate all their marketing data in one place, gain better insight into their performance across channels, analyze attribution models, and obtain accurate ROMI data. Companies such as Asus, BayCare and Monster Energy use Improvado to mark their markes.

Illuminate dark data and accelerate data-driven transformation with intelligent data operations to enable an edge-to-cloud data fabric. Pentaho products automate onboarding, integrating, governing, and publishing trusted data, with an intelligent composable data platform to automate data management needs.

Manta is a unified data lineage platform that serves as the central hub of all enterprise data flows. Manta can construct lineage from report definitions, custom SQL code, and ETL workflows. Lineage is analyzed based on actual code, and both direct and indirect flows can be visualized on the map. Data paths between files, report fields, database tables, and individual columns are displayed to users in an intuitive user interface, enabling teams to understand data flows in context.

A powerful iPaaS platform for integration and business process automation. Linx is a powerful integration platform (iPaaS) that enables organizations to connect all their data sources, systems, and applications. The platform is known for its programming-like flexibility and the resulting ability to handle complex integrations at scale. It is a popular choice for growing businesses looking to embrace a unified integration strategy.

Liquid Data Mapper, a flexible data transformation and map tool, allows you to create any combination of mapping. It can even combine data from multiple sources. This tool allows you to visualize data mapping between multiple data sources. You can either execute transform within Liquid Studio, or generate mapping code to use in your own applications. Step through the debugger with breakpoints and stack trace, state, variable watch windows, and state. Liquid Studio Data Mapper is an intuitive interface that allows you to design data transforms. Transforms can be used to map multiple data sources to multiple data output targets. They also perform conditional logic, filtering and string manipulation.

BroadPeak, a New York software company, developed K3, a smart data integration solution. K3 is a disruptive data plumbing solution that enables businesses transform, filter, unify, and send data anywhere. K3 offers a wide range of adapters that can be used to connect applications from cloud-based systems to legacy data systems. K3 features include an intuitive mapping interface to make data flow, a When, Then and Else rules engine that enriches fields, filtering to keep data clean, as well as validation logic with alerts.

In a developer-friendly visual editor, you can design, debug, run, and troubleshoot data jobflows and data transformations. You can orchestrate data tasks that require a specific sequence and organize multiple systems using the transparency of visual workflows. Easy deployment of data workloads into an enterprise runtime environment. Cloud or on-premise. Data can be made available to applications, people, and storage through a single platform. You can manage all your data workloads and related processes from one platform. No task is too difficult. CloverDX was built on years of experience in large enterprise projects. Open architecture that is user-friendly and flexible allows you to package and hide complexity for developers. You can manage the entire lifecycle for a data pipeline, from design, deployment, evolution, and testing. Our in-house customer success teams will help you get things done quickly.

Alooma allows data teams visibility and control. It connects data from all your data silos into BigQuery in real-time. You can set up and flow data in minutes. Or, you can customize, enrich, or transform data before it hits the data warehouse. Never lose an event. Alooma's safety nets make it easy to handle errors without affecting your pipeline. Alooma infrastructure can handle any number of data sources, low or high volume.

Power Query makes it easy to connect, extract and transform data from a variety of sources. Power Query is a data preparation and transformation engine. Power Query includes a graphical interface to retrieve data from sources, and a Power Query Editor to apply transformations. The destination where the data will be stored is determined by where Power Query was installed. Power Query allows you to perform the extraction, transform, load (ETL), processing of data. Microsoft's Data Connectivity and Data Preparation technology allows you to seamlessly access data from hundreds of sources and modify it to your requirements. It is easy to use and engage with, and requires no code. Power Query supports hundreds data sources with built in connectors and generic interfaces (such REST APIs and ODBC, OLE and DB) as well as the Power Query SDK for creating your own connectors.

Cloud-native data integration with IBM Cloud Pak data enables you to accelerate AI innovation AI-powered data integration from anywhere. Your AI and analytics can only be as good as the data they are powered by. IBM®, DataStage®, for IBM Cloud Pak®, for Data provides high-quality data through a container-based architecture. It combines industry-leading data integration, DataOps, governance, and analytics on one data and AI platform. Automation speeds up administrative tasks, helping to reduce TCO. AI-based design accelerators, out-of-the box integration with DataOps or data science services accelerate AI innovation. Multicloud integration and parallelism allow you to deliver trusted data across hybrid and multicloud environments. The IBM Cloud Pak for Data platform allows you to manage the data and analytics lifecycle. Data science, event messaging, and data warehousing are some of the services offered. Automated load balancing and parallel engine.

Data comes from all directions, increasing in complexity and scale. Data can contain knowledge and insight that are full of potential. This potential can only be fully realized when it is integrated into every decision and action taken by the organization, second by second. Data changes with the business, which leads to new insights and knowledge. It is a cycle. Learn and adapt. Industries such as entertainment, financial services, healthcare, telecommunications and manufacturing have all recognized the potential. It is both challenging as well as exciting to get there. It takes new levels of speed, agility, and speed to understand, manage, and process vast amounts of constantly changing data. Complex organizations need a high-performance data platform that can automate and provide self-service. It can also thrive in change and adapt to new realities.

Integrate AI-powered mapping of data into your systems. Never again waste time on data management. Lume platform provides visibility and management of all your data pipelines, mappings and other related information. Data mappers can be reviewed, edited, and deployed in seconds. They can also be used indefinitely. In seconds, you can ingest the unique data of your customers and partners to increase the number of customers and partners that you onboard. Normalize messy data, which is different from all the legacy systems you are ingesting. Create hundreds of data pipelines instantly, reading and writing from any source model and any destination model. Detect changes in your source data and target models and automatically retransform the data. Transform data using AI to handle complex data mappings.

For more four decades, IRI CoSort has defined the state-of-the-art in big data sorting and transformation technology. From advanced algorithms to automatic memory management, and from multi-core exploitation to I/O optimization, there is no more proven performer for production data processing than CoSort. CoSort was the first commercial sort package developed for open systems: CP/M in 1980, MS-DOS in 1982, Unix in 1985, and Windows in 1995. Repeatedly reported to be the fastest commercial-grade sort product for Unix. CoSort was also judged by PC Week to be the "top performing" sort on Windows. CoSort was released for CP/M in 1978, DOS in 1980, Unix in the mid-eighties, and Windows in the early nineties, and received a readership award from DM Review magazine in 2000. CoSort was first designed as a file sorting utility, and added interfaces to replace or convert sort program parameters used in IBM DataStage, Informatica, MF COBOL, JCL, NATURAL, SAS, and SyncSort. In 1992, CoSort added related manipulation functions through a control language interface based on VMS sort utility syntax, which evolved through the years to handle structured data integration and staging for flat files and RDBs, and multiple spinoff products.

Self-service operational analytics and ready to-run reports across core processes empower your business to answer the most important questions. Imagine if you could get a better understanding of your organization's activities. You could not only report on the events but also react immediately to insights from your supply chain, finance, and manufacturing processes. You can adapt to the changing business landscape by changing the way you react. Magnitude Angles enables you to uncover hidden insights in your SAP ERP system or Oracle ERP system. It also streamlines the data analysis process. Traditional BI tools can only understand rows, columns, and tables, but not orders, cash, or materials. Angles is built upon a context-aware and process-rich business model that transforms complex ERP data architectures into self service business analytics. This allows data to be closer to decision making and helps turn insight into action.

Meltano offers the most flexibility in deployment options. You control your data stack from beginning to end. Since years, a growing number of connectors has been in production. You can run workflows in isolated environments and execute end-to-end testing. You can also version control everything. Open source gives you the power and flexibility to create your ideal data stack. You can easily define your entire project in code and work confidently with your team. The Meltano CLI allows you to quickly create your project and make it easy to replicate data. Meltano was designed to be the most efficient way to run dbt and manage your transformations. Your entire data stack can be defined in your project. This makes it easy to deploy it to production.

The IRI Data Manager suite from IRI, The CoSort Company, provides all the tools you need to speed up data manipulation and movement. IRI CoSort handles big data processing tasks like DW ETL and BI/analytics. It also supports DB loads, sort/merge utility migrations (downsizing), and other data processing heavy lifts. IRI Fast Extract (FACT) is the only tool that you need to unload large databases quickly (VLDB) for DW ETL, reorg, and archival. IRI NextForm speeds up file and table migrations, and also supports data replication, data reformatting, and data federation. IRI RowGen generates referentially and structurally correct test data in files, tables, and reports, and also includes DB subsetting (and masking) capabilities for test environments. All of these products can be licensed standalone for perpetual use, share a common Eclipse job design IDE, and are also supported in IRI Voracity (data management platform) subscriptions.

The WSO2 integration engine can play multiple roles in your enterprise architecture. It can be used as an ESB and a microservices integrator. It can be deployed as an ESB to cater to your message routing and transformation, message mediation, service orchestration, and service and API hosting requirements. You can use header-based and content-based, rule-based and priority-based routing. Implement Enterprise Integration Patterns (EIPs), data integration, and event stream integrations. Transform messages using XSLT 1.0/2.0 and XPath. Visual data mapping, CSV and JSON, as well as XML transformation connectors. Any RDBMS, CSV and Excel, ODS Cassandra, Google spreadsheets, and ODS. OData v4 protocol supports any RDBMS or Cassandra data source. Supports MSSQL, DB2, Oracle, OpenEdge, TerraData, MySQL, PostgreSQL/EnterpriseDB, H2, Derby or any database with a JDBC driver. Support for nested queries across data sources.

Data Warehouse Studio allows software architects, data modelers, business analysts, and data engineers to directly contribute to the success of data warehouses and business intelligence projects. These domain experts can use Data Warehouse Studio's graphical interface to define business rules, data maps, desired coding patterns, or other design elements. After these requirements and technical specifications are entered into Data Warehouse Studio's central repository the platform automatically generates 99-100% the SQL and ETL codes required for the project. This eliminates the need to manually code. Data Warehouse Studio completely eliminates the need for you to manually code ETL and SQL processes for most projects. Data Warehouse Studio is a design-time technology that allows all project participants to share requirements and technical specifications on a single platform.

As part of a 360-degree view, healthcare organizations can consolidate vital patient, administrative, and clinical data. They can also safeguard that information and make it accessible to staff. You can eliminate data silos by aggregating administrative and patient information across your healthcare enterprise. Optimize healthcare data storage by making use of all your storage assets and reducing your total cost of ownership. Protect your healthcare data and ensure a quick recovery in the event that it is lost, stolen, or corrupted. Your staff will be able to view the patient's entire history 360 degrees, which can help improve care and outcomes. You can eliminate obsolete or legacy applications and still have access to their data, saving time, money, and resources. Digitally transform your clinical testing processes and accelerate your testing operations.

Ohalo's Data X-Ray platform automates data governance tasks like discovering, mapping, and redacting files containing sensitive, and personal information. Our customers rely on it for file activity monitoring, security enhancement, and privacy compliance. Data X-Ray connects seamlessly to all data sources, on-premises or in the cloud, enabling a comprehensive understanding of files across all storage locations. Moreover, Ohalo possesses the flexibility to develop custom connectors for individual data sources, whether they are bespoke or legacy, upon request. End-To-End Document Management Software. Data X-Ray uses machine learning and natural language processing to uncover unknown or forgotten data, ensuring compliance with privacy and security regulations. It helps eliminate unnecessary records, reducing storage costs. Get Data X-Ray: One Platform, Universal Insight.

Talend Data Integration allows you to connect and manage all of your data regardless of where it is located. Connect virtually any data source to any data environment using over 1,000 connectors and component. Drag-and-drop interface makes it easy to create and deploy reusable data pipes. It's 10x faster than hand-coding. Talend has been a leader in scaling large data sets to advanced data analytics and Spark platforms. We partner with top cloud service providers, data warehouses and analytics platforms such as Amazon Web Services, Microsoft Azure and Google Cloud Platform, Snowflake and Databricks. Talend ensures data quality at every stage of data integration. Before inconsistencies disrupt or impact critical decisions, you can identify, highlight, and fix them as data moves through your systems. Connect to data wherever it is, and use it where you want it.

Your company can think data automation "first" to make digital transformation a reality. Data Automation allows you to better serve your customers. Data Automation allows you to work more efficiently. It frees employees from repetitive, mundane work and allows them to concentrate on solving problems and creating value. You can accelerate data projects by allowing non-IT data experts and data specialists to consolidate, categorize and master data. Digital transformations can be made easier by automating large amounts of data management via human-guided machinelearning. You can increase the speed of business outcomes by leveraging accurate, complete data that is automatically curated for data visualization tools or analytic insights. It integrates with your company's core applications and existing applications and automates data management and communication. Data Automation by Io-Tahoe automates repetitive, high-volume data tasks quickly once it is in place.

Atlas integrates with your workflow by organizing text, embedding datasets and creating interactive maps that can be explored in a web browser. To understand your data, you don't need to scroll through Excel files or log Dataframes. Atlas automatically analyzes, organizes, and summarizes your documents, surfacing patterns and trends. Atlas' pre-organized data interface makes it easy to quickly identify and remove any data that could be harmful to your AI projects. You can label and tag your data, while cleaning it up with instant sync to your Jupyter notebook. Although vector databases are powerful, they can be difficult to interpret. Atlas stores, visualizes, and allows you to search through all your vectors within the same API.

Datuum is an AI-powered data integration tool that offers a unique solution for organizations looking to streamline their data integration process. With our pre-trained AI engine, Datuum simplifies customer data onboarding by allowing for automated integration from various sources without coding. This reduces data preparation time and helps establish resilient connectors, ultimately freeing up time for organizations to focus on generating insights and improving the customer experience. At Datuum, we have over 40 years of experience in data management and operations, and we've incorporated our expertise into the core of our product. Our platform is designed to address the critical challenges faced by data engineers and managers while being accessible and user-friendly for non-technical specialists. By reducing up to 80% of the time typically spent on data-related tasks, Datuum can help organizations optimize their data management processes and achieve more efficient outcomes.

All your data can be unified in one place with over 100+ universal and built-in API data connectors. All your team can access them. Simply click and transform data. With built-in data manipulation tools, and automated schedulers, you can build robust data pipelines. You can save hours by not having to manually send your data. Workflow automates the process of moving data from databases to BI tools and from apps to databases. The no-code format allows you to access a full range of data cleaning and transformation tools without the need for complex expressions or codes. Only insights can make data useful. Your database can be upgraded to an analytical engine using native cloud-based BI tools. All data projects on Acho are available immediately on the Visual Panel.

Etlworks is a cloud-first, all-to-any data integration platform. It scales with your business. It can connect to databases and business applications as well as structured, semi-structured and unstructured data of all types, shapes, and sizes. With an intuitive drag-and drop interface, scripting languages and SQL, you can quickly create, test and schedule complex data integration and automation scenarios. Etlworks supports real time change data capture (CDC), EDI transformations and many other data integration tasks. It works exactly as advertised.

Switchboard, a data engineering automation platform that is driven by business teams, allows you to aggregate disparate data at scale and make better business decisions. Get timely insights and precise forecasts. No more outdated manual reports or poorly designed pivot tables that don’t scale. Directly pull data from the right formats and reconfigure them in a non-code environment. Reduce dependency on engineering teams. API outages, bad schemas and missing data are gone thanks to automatic monitoring and backfilling. It's not a dumb API. Instead, it's an ecosystem of pre-built connectors which can be quickly and easily adapted to transform raw data into strategic assets. Our team of experts have worked in data teams at Google, Facebook, and other companies. These best practices have been automated to improve your data game. Data engineering automation platform that enables authoring and workflow processes. It is designed to scale with terabytes.

Every digital transformation initiative needs data. Many projects fail because of insufficient data availability and quality. However, the reality is that acquiring relevant data can be difficult, costly, and disruptive. Datumize Data Collector (DDC), a lightweight, multi-platform middleware that captures data from legacy and complex data sources, is often transient and/or transient. Because there are not many convenient and easy ways to access this type of data, it is often left unexplored. DDC allows companies access data from many sources and supports extensive edge computation, including third-party software (eg AI models). The results are then ingested into the desired format and destination. DDC is a viable digital transformation project for operational and business data collection.

Easy data management will power your business. Connect, transform and visualise your data quickly and scalable. Kleene allows you to easily access all of the data in your SaaS application. Once the data has been extracted, it's stored and organized into a cloud data warehouse. The data is cleaned up and organized to be used for analysis. Dashboards that are easy to use to gain insights and make data driven decisions to drive your growth. Never waste time again creating your own data pipelines. 150+ pre-built data connectors library. Custom connectors can be built on demand. Always work with the latest data. Setup your data warehouse within minutes, without any engineering. Our unique transformation tools will accelerate your data model creation. Best-in class data pipeline management and observability. Kleene offers industry-leading dashboard templates. Our industry expertise will help you to improve your dashboards.

Ascend provides data teams with a unified platform that allows them to ingest and transform their data and create and manage their analytics engineering and data engineering workloads. Ascend is supported by DataAware intelligence. Ascend works in the background to ensure data integrity and optimize data workloads, which can reduce maintenance time by up to 90%. Ascend's multilingual flex-code interface allows you to use SQL, Java, Scala, and Python interchangeably. Quickly view data lineage and data profiles, job logs, system health, system health, and other important workload metrics at a glance. Ascend provides native connections to a growing number of data sources using our Flex-Code data connectors.

Migration to a new app? What data will you migrate? How will you get the data into your new application? Many applications offer mechanisms to import base data, e.g. Most applications don't support historical data, such as open items, customers, or products. How will you prepare for the differences in the data and how will the business handle historical data? Don't worry. DataBridger will help you navigate the path to a successful migration. Unsurpassed transformation capabilities to deal structural differences. Features that help with relationship differences. Built-in data validation methodologies. Built-in features that allow you to migrate incrementally. Prepare data for migration. All or part of the historical data can be moved. Make a historical data environment. If necessary, archive the data for retrieval. Experts are available to assist you with any questions.

Unify Your Data Stack: Experience the first no-code data pipeline platform and power enlightened decision making. Integrate.io is the only complete set of data solutions & connectors for easy building and managing of clean, secure data pipelines. Increase your data team's output with all of the simple, powerful tools & connectors you’ll ever need in one no-code data integration platform. Empower any size team to consistently deliver projects on-time & under budget. Integrate.io's Platform includes: -No-Code ETL & Reverse ETL: Drag & drop no-code data pipelines with 220+ out-of-the-box data transformations -Easy ELT & CDC :The Fastest Data Replication On The Market -Automated API Generation: Build Automated, Secure APIs in Minutes - Data Warehouse Monitoring: Finally Understand Your Warehouse Spend - FREE Data Observability: Custom Pipeline Alerts to Monitor Data in Real-Time

Securiti is the pioneer of the Data Command Center, a centralized platform that enables the safe use of data and GenAI. It provides unified data intelligence, controls and orchestration across hybrid multicloud environments. Large global enterprises rely on Securiti's Data Command Center for data security, privacy, governance, and compliance. Securiti has been recognized as Gartner "Cool Vendor in Data Security", Forrester "Privacy Management Wave Leader", and RSA "Most Innovative Startup".

Astera Centerprise, a complete on-premise data management solution, helps to extract, transform profile, cleanse, clean, and integrate data from different sources in a code-free, drag and drop environment. This software is specifically designed for enterprise-level data integration and is used by Fortune 500 companies like Wells Fargo and Xerox, HP, as well as other large corporations such as Xerox, HP, HP, and many others. Enterprises can quickly access accurate, consolidated data to support their day-today decision-making at lightning speed through process orchestration, workflow automation and job scheduling.

Comprehensive end-to–end eDiscovery software. Exterro's software platform allows you to manage and optimize all of your e-discovery activities from preservation to production. Exterro unifies all aspects of e-discovery, making it easier to get to the bottom of cases faster and at a fraction the cost. Exterro Software Platform, a single, integrated solution that unifies all Exterro's E-Discovery products and Information Governance products, is the Exterro Software Platform. You can quickly collect data from many data sources and learn more about your case with over 30 data integrations. You can save time and money by only collecting relevant data. This will reduce the total data set. Exterro's Privacy Solutions enable your team to quickly organize processes for complying with the critical requirements of the European Union’s General Data Protection Regulation, California Consumer Privacy Act (CCPA), and other privacy regulations.

No downtime required for data migration, applications and workloads. Arcserve Live migration was created to minimize disruptions during cloud transformation. You can easily move data, applications, and workloads to the cloud destination or target destination of choice while your business is still running. You can simplify the process by orchestrating the transfer to the destination destination. All aspects of cloud migration can be managed from one central console. Arcserve Live migration simplifies the process for migrating data and applications. Its flexible architecture allows you to move almost any type of data or work to the cloud, on-premises, or remote locations. This includes support for virtual, cloud, and physical systems. Arcserve Live migration automatically synchronizes files and databases on Windows and Linux systems with a second virtual or physical environment. This can be either on-premises, remote, or in cloud.

The market-leading, scalable, and high-performance enterprise data management platform allows you to embrace agility. All aspects of data integration are supported, from the initial project jumpstart to the successful deployment of mission-critical enterprise applications. PowerCenter, a metadata-driven data management platform, accelerates and jumpstarts data integration projects to deliver data to businesses faster than manual hand coding. Developers and analysts work together to quickly prototype, iterate and validate projects, then deploy them in days instead of months. Your data integration investments can be built on PowerCenter. Machine learning can be used to efficiently monitor and manage PowerCenter deployments across locations and domains.

End-users often use PST files as personal email archives. They are often scattered across end-user devices and network storage which makes it difficult to find and manage them consistently and effectively. Your users no longer have to save data locally in PST files thanks to Microsoft Exchange and Office 365. You will still need to manage legacy PST files, which contain important data. Barracuda PST Enterprise was created to address this problem. Many terabytes may be stored on PST files on end-user devices or on network servers. These files are notoriously unstable and easy to misplace, and are often corrupted. These large files can be costly in terms of both IT administrative overhead and system resources.

Ethyca will handle all CCPA and GDPR tasks. Ethyca gives you a birds-eye view of your business's data supply chain, saving you and your team hours. Ethyca makes subject access, edit, and erasure requests easy or, if you prefer, virtually impossible. Automate the return all user data that has been processed by Ethyca upon request. Ethyca's ability retrieve individual attributes allows Subjects to automate the process of rectifying and selecting their data records. Ethyca can process all "do NOT sell my data" requests and automate compliance with CCPA. You could spend your time in the office trying to update consent preferences. You could also use Ethyca. Ethyca links cookie consent with processing activities for each user’s personal data record. Ethyca provides a user-friendly interface that allows users to manage their consent.

AtlasMap is a data mapping tool with an interactive web-based user interface. It makes it easy to integrate Java, CSV, and JSON data sources. AtlasMap Data Mapper Canvas allows you to design your data mapping and then run it via runtime engine. Apache Camel route also includes a camel-atlasmap Component that allows data mapping to be performed in plain Java API. Camel Quarkus is also available. You can use AtlasMap Data Mapper User Interface in its standalone mode. You can also use it with a VS Code plug-in. The AtlasMap Data Mapper UI was originally designed to work with Syndesis UI. It's still the best way to enjoy all the benefits of integrated typed data maps with UI. Follow the Syndesis Developer Handbook to install and run Syndesis. After selecting or adding a Data Mapper integration, you will find the AtlasMap Data Mapper User Interface under the Integrations Panel.

StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections.

Feedonomics is the #1 full-service product feed platform. Easily publish optimized product listings on hundreds of ad channels and marketplaces, such as Google Shopping, Facebook, Amazon, eBay, Walmart, and more. As a leading product feed management platform, Feedonomics partners with agencies, brands, and retailers to optimize and list their products on the top ecommerce shopping destinations around the world. What makes us different from other SaaS companies in the space? We manage everything from integration and full-service onboarding to ongoing feed maintenance for our clients, enabling them to expand their ecommerce business more efficiently. Since its inception in 2014, Feedonomics has developed an incredible reputation for our full-service approach to feed management, our inclusive culture, and our industry-leading technology. With principles that go beyond optics, Feedonomics looks to deliver the same people-first strategy internally as we do externally.

Blendo is the most popular ETL and ELT data connector tool that dramatically simplifies how you connect data sources with databases. Blendo supports natively-built data connections, making it easy to extract, load and transform (ETL). Automate data management and transform data faster to gain BI insights. Data analysis does not have to be about data warehousing or data management. Automate and sync data from any SaaS app into your data warehouse. Connect to any data source using ready-made connectors. It's as easy as logging in and your data will start syncing immediately. There are no more integrations to create, data to export, or scripts to create. You can save time and gain insights into your business. You can accelerate your exploration and insights time with reliable data, analytical-ready tables, and schemas that can be optimized for analysis with any BI tool.

80% of enterprise information is in formats that are difficult to use, such as HTML, PDFs, CSVs, PNGs, PPTXs, and others. Unstructured extracts and transforms data in a way that is compatible with all major vector databases and LLM frameworks. Unstructured allows data analysts to pre-process large amounts of data, so they can spend less time cleaning and collecting data and more time modeling. Our enterprise-grade connectors can capture data from anywhere, and then transform it into AI friendly JSON files. This is perfect for companies that are looking to integrate AI into their business. Unstructured delivers data that is curated, free of artifacts and, most importantly, LLM ready.

Unify data from over 100 sources to help your team quickly deliver better insights. Sync data from data warehouses into the business tools that your team prefers. Save up to 75% on your costs by efficiently scaling data operations using a platform that is custom-built for your data teams. You don't want to deal with the hassle of managing your data warehouse? We are the only platform to offer an integrated managed data store that meets all your data management requirements. Choose from a growing list of 100+ fully-managed connectors and 20+ destinations, including SaaS applications, databases, datawarehouses, and many more. Securely manage data movement with granularity. Schedule and transform data for analytics in sync with pipelines.

Due to multiple information sources operating in silos, the enterprise cannot find a single version of truth. Complexity is added by the confusion that results from hundreds of different solutions. While we provide the best possible solutions and services to solve the data and AI problems, you can concentrate on your business. Out-of-the box transformation accelerators for Teradata Netezza, Ab Initio Oracle, Teradata and other legacy data warehouses. View legacy code and evaluate the transformations to ETL, data warehouse, and analytics. Ingestion, CDC and streaming analytics, ETL and data prep, advanced analytics, and many more. Build and deploy scalable data science models and AI models across multiple platforms that leverage multiple data sources. A scalable, secure, fast and well-governed data lake that is agile and flexible can be built. Use best practices and accelerators to accelerate cloud adoption, implementation, and ROI.

Xplenty is a scalable data delivery and integration software that allows large businesses and SMBs to prepare and transfer data to the cloud for analytics. Xplenty features include data transformations and drag-and-drop interface. It also integrates with over 100 data storages and SaaS apps. Developers can easily add Xplenty to their data solution stack. Xplenty allows users to schedule jobs, track job progress, and keep track of job status.

Traditional data analytics solutions are often static and tabular and fail to capture complex data relationships. Gemini Data connects disparate data sources to create stories. Gemini Explore transforms data analytics through contextual storytelling that allows anyone to intuitively and easily interact with data. It's about simplifying complex information and making it easy to understand and communicate. This allows people to learn faster and do their jobs more efficiently. Gemini Stream allows organizations seamlessly to collect, transform, parse and route machine data to and from the most popular Big Data platforms using a single interface. Gemini Central is a state-of the-art, turn-key solution for your analytics needs. It integrates and is pre-configured using a lightweight OS as well as other management tools and apps.

Easy extract, transform, load (ETL), data for data science or analytics. Code-free data flows can be created into data lakes or data marts. Oracle's extensive portfolio of integration solutions. The intuitive user interface allows you to set up integration parameters and automate data mapping from sources and targets. To shape your data, you can use one of the many out-of-the box operators such as a join or aggregate. You can centrally manage your processes and use parameters to override certain configuration values at runtime. Users can view and interact with their data to validate their processes. You can increase productivity and fine-tune data flow on the fly without waiting for executions to complete. Reduce maintenance complexity and avoid broken integration flows as data schemas change.