Compare the Top ETL Software as of April 2026 - Page 6

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  • 1
    Singer

    Singer

    Singer

    Singer describes how data extraction scripts called “taps” and data loading scripts called “targets” should communicate, allowing them to be used in any combination to move data from any source to any destination. Send data between databases, web APIs, files, queues, and just about anything else you can think of. Singer taps and targets are simple applications composed with pipes—no daemons or complicated plugins needed. Singer applications communicate with JSON, making them easy to work with and implement in any programming language. Singer also supports JSON Schema to provide rich data types and rigid structure when needed. Singer makes it easy to maintain state between invocations to support incremental extraction.
  • 2
    Datawisp

    Datawisp

    Datawisp

    Learning code shouldn't be a roadblock to finding mission-critical information. Datawisp works by replacing code with visual blocks: simply pick a data source, transform it, and pick an output type. Our visual query builder lets you work with one or multiple data sets and format the results as a table or chart. In addition to our no-code query builder, Datawisp comes packed with features to help everyone on your team work effectively with data and drive your business forward. Datawisp sheets are easily sharable across teams, making it easy to collaborate in real-time with others. Our API lets you access any analysis from 3rd party websites and apps. Create an in-game leaderboard, export wallet addresses for a whitelist, and more!
  • 3
    SSIS Integration Toolkit
    Jump right to our product page to see our full range of data integration software, including solutions for SharePoint and Active Directory. With over 300 individual data integration tools for connectivity and productivity, our data integration solutions allow developers to take advantage of the flexibility and power of the SSIS ETL engine to integrate virtually any application or data source. You don't have to write a single line of code to make data integration happen so your development can be done in a matter of minutes. We make the most flexible integration solution on the market. Our software offers intuitive user interfaces that are flexible and easy to use. With a streamlined development experience and an extremely simple licensing model, our solution offers the best value for your investment. Our software offers many specifically designed features that help you achieve the best possible performance without having to hijack your budget.
  • 4
    Crux

    Crux

    Crux

    Find out why the heavy hitters are using the Crux external data automation platform to scale external data integration, transformation, and observability without increasing headcount. Our cloud-native data integration technology accelerates the ingestion, preparation, observability and ongoing delivery of any external dataset. The result is that we can ensure you get quality data in the right place, in the right format when you need it. Leverage automatic schema detection, delivery schedule inference, and lifecycle management to build pipelines from any external data source quickly. Enhance discoverability throughout your organization through a private catalog of linked and matched data products. Enrich, validate, and transform any dataset to quickly combine it with other data sources and accelerate analytics.
  • 5
    BigBI

    BigBI

    BigBI

    BigBI enables data specialists to build their own powerful big data pipelines interactively & efficiently, without any coding! BigBI unleashes the power of Apache Spark enabling: Scalable processing of real Big Data (up to 100X faster) Integration of traditional data (SQL, batch files) with modern data sources including semi-structured (JSON, NoSQL DBs, Elastic, Hadoop), and unstructured (Text, Audio, video), Integration of streaming data, cloud data, AI/ML & graphs
  • 6
    fLUMEN

    fLUMEN

    fLUMINA

    fLUMINA specializes in the visualization and analysis of complex systems. fLUMINA GmbH brings fully automated value stream mapping as a competence. fLUMINA GmbH developed a virtual assistance system for the optimization of the value stream for different user groups in companies. assistance system for the optimization of the value stream. The product was developed fLUMEN was developed for medium-sized companies in the sectors of mechanical engineering, industry, manufacturing trade and commerce. fLUMEN connects, structures and calculates existing raw data from the ERP system. This picture, together with tools for the selection and correlation of data in all aggregation levels, allows hidden relationships to be found and evaluated. The result, in other words, is comprehensive value stream analysis, from ordering the raw materials, through the individual production processes to the goods issue on the customer side customer side, and this for all products at the push of a button.
    Starting Price: $270
  • 7
    CData Sync

    CData Sync

    CData Software

    CData Sync is a universal data pipeline that delivers automated continuous replication between hundreds of SaaS applications & cloud data sources and any major database or data warehouse, on-premise or in the cloud. Replicate data from hundreds of cloud data sources to popular database destinations, such as SQL Server, Redshift, S3, Snowflake, BigQuery, and more. Configuring replication is easy: login, select the data tables to replicate, and select a replication interval. Done. CData Sync extracts data iteratively, causing minimal impact on operational systems by only querying and updating data that has been added or changed since the last update. CData Sync offers the utmost flexibility across full and partial replication scenarios and ensures that critical data is stored safely in your database of choice. Download a 30-day free trial of the Sync application or request more information at www.cdata.com/sync
  • 8
    DataNimbus

    DataNimbus

    DataNimbus

    DataNimbus is an AI-powered platform that streamlines payments and accelerates AI adoption through innovative, cost-efficient solutions. By seamlessly integrating with Databricks components like Spark, Unity Catalog, and ML Ops, DataNimbus enhances scalability, governance, and runtime operations. Its offerings include a visual designer, a marketplace for reusable connectors and machine learning blocks, and agile APIs, all designed to simplify workflows and drive data-driven innovation.
  • 9
    Precisely Connect
    Integrate data seamlessly from legacy systems into next-gen cloud and data platforms with one solution. Connect helps you take control of your data from mainframe to cloud. Integrate data through batch and real-time ingestion for advanced analytics, comprehensive machine learning and seamless data migration. Connect leverages the expertise Precisely has built over decades as a leader in mainframe sort and IBM i data availability and security to lead the industry in accessing and integrating complex data. Access to all your enterprise data for the most critical business projects is ensured by support for a wide range of sources and targets for all your ELT and CDC needs.
  • 10
    Datagaps DataOps Suite
    Datagaps DataOps Suite is a comprehensive platform designed to automate and streamline data validation processes across the entire data lifecycle. It offers end-to-end testing solutions for ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) projects. Key features include automated data validation and cleansing, workflow automation, real-time monitoring and alerts, and advanced BI analytics tools. The suite supports a wide range of data sources, including relational databases, NoSQL databases, cloud platforms, and file-based systems, ensuring seamless integration and scalability. By leveraging AI-powered data quality assessments and customizable test cases, Datagaps DataOps Suite enhances data accuracy, consistency, and reliability, making it an essential tool for organizations aiming to optimize their data operations and achieve faster returns on data investments.
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