Alternatives to Microsoft Power Query

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.

dbt Labs is redefining how data teams work with SQL. Instead of waiting on complex ETL processes, dbt lets data analysts and data engineers build production-ready transformations directly in the warehouse, using code, version control, and CI/CD. This community-driven approach puts power back in the hands of practitioners while maintaining governance and scalability for enterprise use. With a rapidly growing open-source community and an enterprise-grade cloud platform, dbt is at the heart of the modern data stack. It’s the go-to solution for teams who want faster analytics, higher quality data, and the confidence that comes from transparent, testable transformations.

The most accurate, complete, and timely data provides the best insight. Minitab Connect empowers data users across the enterprise with self service tools to transform diverse data into a network of data pipelines that feed analytics initiatives, foster collaboration and foster organizational-wide collaboration. Users can seamlessly combine and explore data from various sources, including databases, on-premise and cloud apps, unstructured data and spreadsheets. Automated workflows make data integration faster and provide powerful data preparation tools that allow for transformative insights. Data integration tools that are intuitive and flexible allow users to connect and blend data from multiple sources such as data warehouses, IoT devices and cloud storage.

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.

Fivetran is a comprehensive data integration solution designed to centralize and streamline data movement for organizations of all sizes. With more than 700 pre-built connectors, it effortlessly transfers data from SaaS apps, databases, ERPs, and files into data warehouses and lakes, enabling real-time analytics and AI-driven insights. The platform’s scalable pipelines automatically adapt to growing data volumes and business complexity. Leading companies such as Dropbox, JetBlue, Pfizer, and National Australia Bank rely on Fivetran to reduce data ingestion time from weeks to minutes and improve operational efficiency. Fivetran offers strong security compliance with certifications including SOC 1 & 2, GDPR, HIPAA, ISO 27001, PCI DSS, and HITRUST. Users can programmatically create and manage pipelines through its REST API for seamless extensibility. The platform supports governance features like role-based access controls and integrates with transformation tools like dbt Labs. Fivetran helps organizations innovate by providing reliable, secure, and automated data pipelines tailored to their evolving needs.

Rivery’s ETL platform consolidates, transforms, and manages all of a company’s internal and external data sources in the cloud. Key Features: Pre-built Data Models: Rivery comes with an extensive library of pre-built data models that enable data teams to instantly create powerful data pipelines. Fully managed: A no-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on mission-critical priorities rather than maintenance. Multiple Environments: Rivery enables teams to construct and clone custom environments for specific teams or projects. Reverse ETL: Allows companies to automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.

FastQueryBuilder is a visual SQL query builder that is easy to use. It can be used with both client-server and local databases. Your customers can create DB queries with no SQL! FastQueryBuilder allows you to work with both client-server and local databases using the BDE. It also allows you access other data-access components like ADO, IBX, and FIBPlus. Main features: - Supports Embarcadero, (ex Borland & ex CodeGear), Delphi, C++Builder 4-7, RAD Studio 2005-2009, and Lazarus. - Displays a visual representation of the query for editing and use. Visual Query Designer can be embedded into any window of your application. - FastQueryBuilder can be integrated into any window. - Allows for full visual customization of query parameters. It's easy to query a DB. Just open FastQueryBuilder -> create a query -> view the result.

AWS Glue is a fully managed data integration solution that simplifies the process of discovering, preparing, and merging data for purposes such as analytics, machine learning, and application development. By offering all the necessary tools for data integration, AWS Glue enables users to begin analyzing their data and leveraging it for insights within minutes rather than taking months. The concept of data integration encompasses various activities like identifying and extracting data from multiple sources, enhancing, cleaning, normalizing, and consolidating that data, as well as organizing and loading it into databases, data warehouses, and data lakes. Different users, each utilizing various tools, often manage these tasks. Operating within a serverless environment, AWS Glue eliminates the need for infrastructure management, automatically provisioning, configuring, and scaling the resources essential for executing data integration jobs. This efficiency allows organizations to focus more on data-driven decision-making without the overhead of manual resource management.

OpenRefine, which was formerly known as Google Refine, serves as an exceptional resource for managing chaotic data by enabling users to clean it, convert it between different formats, and enhance it with external data and web services. This tool prioritizes your privacy, as it operates exclusively on your local machine until you decide to share or collaborate with others; your data remains securely on your computer unless you choose to upload it. It functions by setting up a lightweight server on your device, allowing you to engage with it through your web browser, making data exploration of extensive datasets both straightforward and efficient. Additionally, users can discover more about OpenRefine's capabilities through instructional videos available online. Beyond cleaning your data, OpenRefine offers the ability to connect and enrich your dataset with various web services, and certain platforms even permit the uploading of your refined data to central repositories like Wikidata. Furthermore, a continually expanding selection of extensions and plugins is accessible on the OpenRefine wiki, enhancing its versatility and functionality for users. These features make OpenRefine an invaluable asset for anyone looking to manage and utilize complex datasets effectively.

Power BI provides advanced data analysis, leveraging AI features to transform complex datasets into visual insights. It integrates data into a single source, OneLake, reducing duplication and streamlining analysis. The platform enhances decision-making by integrating insights into everyday tools like Microsoft 365 and is bolstered by Microsoft Fabric for data team empowerment. Power BI is scalable, handling extensive data without performance loss, and integrates well with Microsoft's ecosystem for coherent data management. Its AI tools are user-friendly and contribute to efficient and accurate insights, supported by strong data governance measures. The Copilot function in Power BI enables quick and efficient report creation. Power BI Pro licenses individuals for self-service analytics, while the free account offers data connection and visualization capabilities. The platform ensures ease of use and accessibility, backed by comprehensive training. It has shown a notable return on investment and economic benefits, as reported in a Forrester study. Gartner's Magic Quadrant recognizes Power BI for its ability to execute and completeness of vision.

Tableau Prep revolutionizes traditional data preparation within organizations by offering an intuitive visual interface for data merging, shaping, and cleansing, enabling analysts and business users to initiate their analysis more swiftly. It consists of two key products: Tableau Prep Builder, designed for creating data flows, and Tableau Prep Conductor, which facilitates the scheduling, monitoring, and management of those flows throughout the organization. Users can leverage three different views to examine row-level details, column profiles, and the overall data preparation workflow, allowing them to choose the most appropriate view based on their specific tasks. Editing a value is as simple as selecting it and making changes directly, while modifications to join types yield immediate results, ensuring real-time feedback even with extensive datasets. Every action taken allows for instant visualization of data changes, regardless of the volume, and Tableau Prep Builder empowers users to reorder steps and experiment freely without risk. This flexibility fosters a more dynamic data preparation process, encouraging innovation and efficiency in data handling.

SQL Spreads is a Microsoft Excel Add-in which allows non-technical users to easily Update Insert and Delete Data in SQL Server Tables directly from Excel. A SQL Spreads Designer creates controlled SQL Spreads Excel files that are connected to SQL Server databases. These documents are then shared with Data Editors, who take ownership of updating data and saving back changes in SQL Server.

Your enterprise relies on immediate data from its backend infrastructures to provide actionable insights and foster growth. The CData Power BI Connectors serve as an essential component in optimizing your data value chain. These connectors present the quickest and simplest approach to linking Power BI with over 250 enterprise data sources, allowing you to harness the full potential of Power BI for comprehensive data analysis. With ease, you can connect Microsoft Power BI to live data from accounting, CRM, ERP, marketing automation, as well as both on-premise and cloud-based systems for real-time visual analytics and reporting. Numerous popular data sources are supported by Power BI connectors, such as: - Microsoft Dynamics CRM - MongoDB - NetSuite - QuickBooks - Sage Intacct - Salesforce - SAP - SharePoint - Snowflake - And over 200 additional sources! Furthermore, the CData Connectors enhance query speed and performance with advanced features like DirectQuery and QueryPushdown, ensuring that your data analysis is both efficient and effective. These capabilities empower businesses to make more informed decisions based on the latest available information.

TROCCO is an all-in-one modern data platform designed to help users seamlessly integrate, transform, orchestrate, and manage data through a unified interface. It boasts an extensive array of connectors that encompass advertising platforms such as Google Ads and Facebook Ads, cloud services like AWS Cost Explorer and Google Analytics 4, as well as various databases including MySQL and PostgreSQL, and data warehouses such as Amazon Redshift and Google BigQuery. One of its standout features is Managed ETL, which simplifies the data import process by allowing bulk ingestion of data sources and offers centralized management for ETL configurations, thereby removing the necessity for individual setup. Furthermore, TROCCO includes a data catalog that automatically collects metadata from data analysis infrastructure, creating a detailed catalog that enhances data accessibility and usage. Users have the ability to design workflows that enable them to organize a sequence of tasks, establishing an efficient order and combination to optimize data processing. This capability allows for increased productivity and ensures that users can better capitalize on their data resources.

Toad® Data Point is a versatile self-service data integration solution designed to streamline the processes of data access, preparation, and provisioning across multiple platforms. With its extensive data connectivity options, users can easily integrate data from a variety of sources, such as SQL and NoSQL databases, ODBC, as well as business intelligence tools and Microsoft Excel or Access. The application features a user-friendly Workbook interface that allows business users to build visual queries and automate workflows with ease. Regardless of your technical expertise, you can create queries without the need to write or modify SQL code, although those familiar with SQL will appreciate the intuitive graphical interface that enhances the creation of relationships and the visualization of queries. Toad Data Point Professional accommodates different user preferences by offering two distinct interfaces: one that emphasizes traditional flexibility and a wide range of functionalities. Additionally, this powerful tool ensures that data profiling tasks are efficiently managed, allowing users to achieve consistent and reliable results across their projects.

CData Sync is a universal database pipeline that automates continuous replication between hundreds SaaS applications & cloud-based data sources. It also supports any major data warehouse or database, whether it's on-premise or cloud. Replicate data from hundreds cloud data sources to popular databases destinations such as SQL Server and Redshift, S3, Snowflake and BigQuery. It is simple to set up replication: log in, select the data tables you wish to replicate, then select a replication period. It's done. CData Sync extracts data iteratively. It has minimal impact on operational systems. CData Sync only queries and updates data that has been updated or added since the last update. CData Sync allows for maximum flexibility in partial and full replication scenarios. It ensures that critical data is safely stored in your database of choice. Get a 30-day trial of the Sync app for free or request more information at www.cdata.com/sync

Numerous individuals rely on Excel, VBA/Python scripts, or SQL queries for preparing data, often due to a lack of awareness of superior options available. EasyMorph stands out as a dedicated tool that offers over 150 built-in actions designed for quick and visual data transformation and automation, all without the need for coding skills. By utilizing EasyMorph, you can move beyond complex scripts and unwieldy spreadsheets, significantly enhancing your productivity. This application allows you to seamlessly retrieve data from a variety of sources such as databases, spreadsheets, emails and their attachments, text files, remote folders, corporate applications like SharePoint, and web APIs, all without needing programming expertise. You can employ visual tools and queries to filter and extract precisely the information you require, eliminating the need to consult IT for assistance. Moreover, it enables you to automate routine tasks associated with files, spreadsheets, websites, and emails with no coding required, transforming tedious and repetitive actions into a simple button click. With EasyMorph, not only is the data preparation process simplified, but users can also focus on more strategic tasks instead of getting bogged down in the minutiae of data handling.

The fundamental technology that powers contemporary solutions for data integration and management is designed to swiftly link various structured and unstructured data sources. It allows for the comprehensive cataloging of your entire data environment, ensuring that data remains within its original sources and is retrieved as needed, eliminating the requirement for duplicate copies. Users can construct data models tailored to their needs, even when drawing from multiple data sources, while also concealing the intricacies of back-end systems from end users. The virtual model can be securely accessed and utilized through standard SQL alongside other formats such as REST, SOAP, and OData, promoting easy access to diverse data types. It features complete data integration and modeling capabilities, along with an Active Data Catalog that enables self-service for data and metadata exploration and preparation. Furthermore, it incorporates robust data security and governance measures, ensures rapid and intelligent execution of data queries, and provides real-time data delivery in various formats. The system also supports the establishment of data marketplaces and effectively decouples business applications from data systems, paving the way for more informed, data-driven decision-making strategies. This innovative approach enhances the overall agility and responsiveness of organizations in managing their data assets.

No per-connection charges for setting up all the automated connections that you need. No per-connection fees for all the automated connections that you need. No technical expertise is required to set up and scale your cloud data warehouse or processing operations. Conversionomics allows you to make mistakes and ask hard questions about your data. You have the power to do whatever you want with your data. Conversionomics creates complex SQL to combine source data with lookups and table relationships. You can use preset joins and common SQL, or create your own SQL to customize your query. Conversionomics is a data aggregation tool with a simple interface that makes it quick and easy to create data API sources. You can create interactive dashboards and reports from these sources using our templates and your favorite data visualization tools.

Combine data silos effortlessly using Azure Data Factory, a versatile service designed to meet diverse data integration requirements for users of all expertise levels. You can easily create both ETL and ELT workflows without any coding through its user-friendly visual interface, or opt to write custom code if you prefer. The platform supports the seamless integration of data sources with over 90 pre-built, hassle-free connectors, all at no extra cost. With a focus on your data, this serverless integration service manages everything else for you. Azure Data Factory serves as a robust layer for data integration and transformation, facilitating your digital transformation goals. Furthermore, it empowers independent software vendors (ISVs) to enhance their SaaS applications by incorporating integrated hybrid data, enabling them to provide more impactful, data-driven user experiences. By utilizing pre-built connectors and scalable integration capabilities, you can concentrate on enhancing user satisfaction while Azure Data Factory efficiently handles the backend processes, ultimately streamlining your data management efforts.

INTEGRATION: Integrate your systems with a simple point-and-click interface. Access the full target system schemas in order to map and transform data on a regular or ad-hoc basis. TRANSFORMATION: Powerful mapping of data transformation. Includes querying the target system to enable any transformation possible into the source systems. MAINTENANCE : Full cron schedule of jobs, including customisable system outages, dependencies between connections, and deployment via email for self-service within business. PIPELINES - powerful pipeline automation. Define reports, queries, or file matches, conditions complexes, filters, and schedules for pushing data into and out of your business systems. Connect any source to any target: Salesforce schema, Salesforce Reports, Webhooks (SOQL), Google Drive, FTP (SQL Server), Snowflake, Onedrive Dynamics 365, Google Analytics Exasol AWS S3, Local Files, Eloqua Smartsheet ServiceNow Email & More...

Alooma provides data teams with the ability to monitor and manage their data effectively. It consolidates information from disparate data silos into BigQuery instantly, allowing for real-time data integration. Users can set up data flows in just a few minutes, or opt to customize, enhance, and transform their data on-the-fly prior to it reaching the data warehouse. With Alooma, no event is ever lost thanks to its integrated safety features that facilitate straightforward error management without interrupting the pipeline. Whether dealing with a few data sources or a multitude, Alooma's flexible architecture adapts to meet your requirements seamlessly. This capability ensures that organizations can efficiently handle their data demands regardless of scale or complexity.

Open core technology facilitates the integration of hybrid and multi-cloud environments. Built on the open-source initiative CDAP, Data Fusion guarantees portability of data pipelines for its users. The extensive compatibility of CDAP with both on-premises and public cloud services enables Cloud Data Fusion users to eliminate data silos and access previously unreachable insights. Additionally, its seamless integration with Google’s top-tier big data tools enhances the user experience. By leveraging Google Cloud, Data Fusion not only streamlines data security but also ensures that data is readily available for thorough analysis. Whether you are constructing a data lake utilizing Cloud Storage and Dataproc, transferring data into BigQuery for robust data warehousing, or transforming data for placement into a relational database like Cloud Spanner, the integration capabilities of Cloud Data Fusion promote swift and efficient development while allowing for rapid iteration. This comprehensive approach ultimately empowers businesses to derive greater value from their data assets.

Azure Synapse represents the advanced evolution of Azure SQL Data Warehouse. It is a comprehensive analytics service that integrates enterprise data warehousing with Big Data analytics capabilities. Users can query data flexibly, choosing between serverless or provisioned resources, and can do so at scale. By merging these two domains, Azure Synapse offers a cohesive experience for ingesting, preparing, managing, and delivering data, catering to the immediate requirements of business intelligence and machine learning applications. This integration enhances the efficiency and effectiveness of data-driven decision-making processes.

Connect your database to Statsbot, and within minutes, you'll have data relationships generated automatically, along with your initial insights. Capable of handling terabytes of raw data from numerous sources, Statsbot eliminates the need for prior data optimization or transformation. You can easily define your transformations using SQL and Javascript, avoiding the necessity of learning specialized languages or dealing with complicated interfaces. While data storage is affordable, executing queries can be costly; Statsbot addresses this issue by implementing a pre-aggregations layer that enhances query efficiency. Specifically designed to function with raw data in contemporary data warehouses, Statsbot not only performs real-time queries and transformations but also runs background processes to pre-aggregate intensive calculations. This transformation layer ensures that even complex reports are generated at remarkable speeds, making the overall data analysis experience seamless and efficient. Consequently, Statsbot significantly reduces the time and resources needed to derive insights from large datasets.

Precog is an advanced platform for data integration and transformation, crafted to enable businesses to easily access, prepare, and analyze data from various sources. Featuring a no-code interface alongside robust automation capabilities, Precog makes it straightforward to connect to multiple data sources and convert raw data into actionable insights without necessitating any technical skills. The platform also facilitates smooth integration with widely-used analytics tools, allowing users to accelerate their data-driven decision-making processes. By reducing complexity and providing exceptional flexibility, Precog empowers organizations to fully harness their data's potential, enhancing workflow efficiency and fostering innovation across different teams and sectors. Moreover, its user-friendly design ensures that even those without a technical background can leverage data effectively.

GeoSpock revolutionizes data integration for a connected universe through its innovative GeoSpock DB, a cutting-edge space-time analytics database. This cloud-native solution is specifically designed for effective querying of real-world scenarios, enabling the combination of diverse Internet of Things (IoT) data sources to fully harness their potential, while also streamlining complexity and reducing expenses. With GeoSpock DB, users benefit from efficient data storage, seamless fusion, and quick programmatic access, allowing for the execution of ANSI SQL queries and the ability to link with analytics platforms through JDBC/ODBC connectors. Analysts can easily conduct evaluations and disseminate insights using familiar toolsets, with compatibility for popular business intelligence tools like Tableau™, Amazon QuickSight™, and Microsoft Power BI™, as well as support for data science and machine learning frameworks such as Python Notebooks and Apache Spark. Furthermore, the database can be effortlessly integrated with internal systems and web services, ensuring compatibility with open-source and visualization libraries, including Kepler and Cesium.js, thus expanding its versatility in various applications. This comprehensive approach empowers organizations to make data-driven decisions efficiently and effectively.

Xactly Connect offers a smooth integration experience with the technology infrastructure of any organization. It allows for straightforward connections to various systems, including CRM, ERP, HCM, and payroll, creating a unified source of truth for all Sales Performance Management (SPM) tasks. The syntax for queries and ETL in Xactly Connect is grounded in ANSI SQL, a widely recognized standard that is easy for IT teams to understand, thus minimizing the learning curve associated with the platform. Additionally, the web-based user interface of the Xactly Connect Data Integration Platform provides both developers and compensation managers with a visual representation and management capabilities for data integration processes established within the system. This not only enhances business efficiency but also automates and optimizes data flows across the entire suite of Xactly solutions. Users can extract valuable insights and integrate them effortlessly with various downstream systems, including payroll, data warehouses, and CRMs. Furthermore, Xactly Connect comes with pre-built connectors for popular platforms such as Salesforce, NetSuite, and Microsoft, ensuring a more streamlined experience for users. The versatility and ease of use position Xactly Connect as a valuable asset for any enterprise looking to enhance their data management practices.

Ascend provides data teams with a streamlined and automated platform that allows them to ingest, transform, and orchestrate their entire data engineering and analytics workloads at an unprecedented speed, achieving results ten times faster than before. This tool empowers teams that are often hindered by bottlenecks to effectively build, manage, and enhance the ever-growing volume of data workloads they face. With the support of DataAware intelligence, Ascend operates continuously in the background to ensure data integrity and optimize data workloads, significantly cutting down maintenance time by as much as 90%. Users can effortlessly create, refine, and execute data transformations through Ascend’s versatile flex-code interface, which supports the use of multiple programming languages such as SQL, Python, Java, and Scala interchangeably. Additionally, users can quickly access critical metrics including data lineage, data profiles, job and user logs, and system health indicators all in one view. Ascend also offers native connections to a continually expanding array of common data sources through its Flex-Code data connectors, ensuring seamless integration. This comprehensive approach not only enhances efficiency but also fosters stronger collaboration among data teams.

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

Query Streams provides a secure connection between Google Sheets and Microsoft Excel to access live databases without the need for VPNs, firewall modifications, or coding skills. Users can execute real-time SQL queries and instantly see the results directly within their spreadsheets. The intuitive add-on interface allows even those without technical expertise to easily modify parameters and retrieve updated data whenever needed. Designed for a wide range of users, including IT professionals, analysts, finance teams, developers, students, researchers, and anyone managing personal or academic projects, Query Streams removes the hassle of manual data exports or reliance on scheduled updates. It offers compatibility with major database systems such as MySQL, PostgreSQL, SQL Server, MariaDB, SQLite, Access, and more. By incorporating features like shared queries, secure handling of credentials, detailed access controls, and rapid data compression, Query Streams transforms spreadsheets into dynamic dashboards—making the process both secure and straightforward. This innovative solution empowers users to interact with their data in real-time, enhancing productivity and decision-making capabilities.

Bipp's cloud BI platform, built on the innovative bippLang data modeling language, was crafted specifically for SQL and data analysts from its inception. It enhances productivity for teams, equipping businesses to make quicker and more informed decisions. The bippLang data modeling language simplifies SQL queries by enabling the creation of reusable, intricate data models that incorporate custom columns and dynamic sub-queries. With Git-based version control, analysts can work collaboratively, ensuring that all data models and SQL queries are consistently backed up. The always-free version provides access to a robust BI platform with professional support at no charge. In-database analytics eliminates the need to transfer data to another system, accelerating access and yielding real-time results. The auto-SQL generator intelligently utilizes defined joins in the data model to determine which tables to combine and dynamically generates sub-queries based on the context. Furthermore, the single source of truth data models guarantee that every individual in the organization relies on identical data for their business decisions, fostering consistency and reliability across the board. This comprehensive approach not only enhances collaboration but also solidifies the foundation for smarter strategic planning.

Panoply makes it easy to store, sync and access all your business information in the cloud. With built-in integrations to all major CRMs and file systems, building a single source of truth for your data has never been easier. Panoply is quick to set up and requires no ongoing maintenance. It also offers award-winning support, and a plan to fit any need.

InDriver: The Multifunctional Automation engine powered by JavaScript allows for simultaneous task execution. InStudio: GUI application for remote InDriver Configuration across multiple computers. With minimal JS code, and a few mouse clicks, you can easily transform setups into tailored solution. Key Applications Data Automation and Integration Engine Conduct Extract-Transform-Load (ETL) operations effortlessly. Access to RESTful API Resources is streamlined, with simplified request definition, interval settings, JSON data processing and database logins. Industrial Automation Engine Interfacing seamless with PLCs and sensors. Create control algorithms, read/write data and process data to SCADA, MES and other systems. Database Automation Schedule queries to run at specific intervals or on specific events. This will ensure continuous automation.

Meltano offers unparalleled flexibility in how you can deploy your data solutions. Take complete ownership of your data infrastructure from start to finish. With an extensive library of over 300 connectors that have been successfully operating in production for several years, you have a wealth of options at your fingertips. You can execute workflows in separate environments, perform comprehensive end-to-end tests, and maintain version control over all your components. The open-source nature of Meltano empowers you to create the ideal data setup tailored to your needs. By defining your entire project as code, you can work collaboratively with your team with confidence. The Meltano CLI streamlines the project creation process, enabling quick setup for data replication. Specifically optimized for managing transformations, Meltano is the ideal platform for running dbt. Your entire data stack is encapsulated within your project, simplifying the production deployment process. Furthermore, you can validate any changes made in the development phase before progressing to continuous integration, and subsequently to staging, prior to final deployment in production. This structured approach ensures a smooth transition through each stage of your data pipeline.

A fast extract step can be a critical component of: database archive and replication database reorgs and migrations data warehouse ETL, ELT, and ODS operations offline reporting and bulk data protection IRI Fast Extract (FACT™) is a parallel unload utility for very large database (VLDB) tables in: Oracle DB2 UDB MS SQL Server Sybase MySQL Greenplum Teradata Altibase Tibero FACT uses simple job scripts (supported in a familiar Eclipse GUI) to rapidly create portable flat files. FACT's speed comes from native connection protocols and proprietary split query logic that unloads billions of rows in minutes. Although FACT is a standalone, application-independent utility, it can also work nicely with other programs and platforms. For example, FACT optionally creates metadata for data definition files (.DDF) that IRI CoSort and its compatible data management and protection tools can use to manipulate the flat files. FACT also automatically creates database load utility configuration files for the same source. FACT is also an optional, seamlessly integrated component in the IRI Voracity ETL and data management platform. The automatic metadata creation -- and coexistence of other IRI software in the same IDE --

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.

Unify all your data sources, encompassing both relational and NoSQL databases, SaaS applications, and APIs, allowing you to query them as if they were a single data entity instantly. Process data at its source without delay, enabling you to query, cache, and merge information from various origins seamlessly. Utilize webhooks to bring in real-time streaming data from platforms like Kafka and Segment into the Peaka BI Table, moving away from the traditional nightly batch ingestion in favor of immediate data accessibility. Approach every data source as though it were a relational database, transforming any API into a table that can be integrated and joined with your other datasets. Employ familiar SQL syntax to execute queries in NoSQL environments, allowing you to access data from both SQL and NoSQL databases using the same skill set. Consolidate your data to query and refine it into new sets, which you can then expose through APIs to support other applications and systems. Streamline your data stack setup without becoming overwhelmed by scripts and logs, and remove the complexities associated with building, managing, and maintaining ETL pipelines. This approach not only enhances efficiency but also empowers teams to focus on deriving insights rather than being bogged down by technical hurdles.

Visokio creates Omniscope Evo, a complete and extensible BI tool for data processing, analysis, and reporting. Smart experience on any device. You can start with any data, any format, load, edit, combine, transform it while visually exploring it. You can extract insights through ML algorithms and automate your data workflows. Omniscope is a powerful BI tool that can be used on any device. It also has a responsive UX and is mobile-friendly. You can also augment data workflows using Python / R scripts or enhance reports with any JS visualisation. Omniscope is the complete solution for data managers, scientists, analysts, and data managers. It can be used to visualize data, analyze data, and visualise it.

Apache Hive is a data warehouse solution that enables the efficient reading, writing, and management of substantial datasets stored across distributed systems using SQL. It allows users to apply structure to pre-existing data in storage. To facilitate user access, it comes equipped with a command line interface and a JDBC driver. As an open-source initiative, Apache Hive is maintained by dedicated volunteers at the Apache Software Foundation. Initially part of the Apache® Hadoop® ecosystem, it has since evolved into an independent top-level project. We invite you to explore the project further and share your knowledge to enhance its development. Users typically implement traditional SQL queries through the MapReduce Java API, which can complicate the execution of SQL applications on distributed data. However, Hive simplifies this process by offering a SQL abstraction that allows for the integration of SQL-like queries, known as HiveQL, into the underlying Java framework, eliminating the need to delve into the complexities of the low-level Java API. This makes working with large datasets more accessible and efficient for developers.

Business Intelligence, AI & NLP are available to anyone who wants to make data-driven business decisions. Knowi instantly transforms data into insights and data-driven actions. No ETL. No ODBC drivers. Simply connect your datasources to start building queries. It's that simple. In a matter of minutes, you can create blended datasets by joining data sources from NoSQL and SQL, REST API, and even file-based sources. Click. Done. We have combined the power and natural language queries of AI to create a new self-service experience in BI that makes it easier to find and reveal new insights. The data we have today is large and scattered. A business intelligence solution is required to instantly connect to modern data. Knowi is the only full-stack analytics platform that integrates natively to all popular NoSQL data sources, as well as relational or Cloud APIs.

Acquiring code skills shouldn't hinder your ability to access essential information. Datawisp simplifies this process by utilizing visual blocks instead of code: just select a data source, make your transformations, and choose the desired output format. With our intuitive visual query builder, you can effortlessly manage one or multiple datasets and display the outcomes as either charts or tables. Beyond the no-code query options, Datawisp is equipped with an array of features designed to enhance your team's data handling capabilities and propel your business toward success. Collaboration is made seamless with Datawisp sheets, which are easily shareable, allowing for real-time teamwork. Additionally, our API provides the flexibility to fetch analyses from third-party services and applications, enabling you to create in-game leaderboards, export wallet addresses for whitelists, and much more, ultimately expanding the possibilities for your projects.

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

Stitch is a cloud-based platform that allows you to extract, transform, load data. Stitch is used by more than 1000 companies to move billions records daily from SaaS databases and applications into data warehouses or data lakes.

Equalum offers a unique continuous data integration and streaming platform that seamlessly accommodates real-time, batch, and ETL scenarios within a single, cohesive interface that requires no coding at all. Transition to real-time capabilities with an intuitive, fully orchestrated drag-and-drop user interface designed for ease of use. Enjoy the benefits of swift deployment, powerful data transformations, and scalable streaming data pipelines, all achievable in just minutes. With a multi-modal and robust change data capture (CDC) system, it enables efficient real-time streaming and data replication across various sources. Its design is optimized for exceptional performance regardless of the data origin, providing the advantages of open-source big data frameworks without the usual complexities. By leveraging the scalability inherent in open-source data technologies like Apache Spark and Kafka, Equalum's platform engine significantly enhances the efficiency of both streaming and batch data operations. This cutting-edge infrastructure empowers organizations to handle larger data volumes while enhancing performance and reducing the impact on their systems, ultimately facilitating better decision-making and quicker insights. Embrace the future of data integration with a solution that not only meets current demands but also adapts to evolving data challenges.