Alternatives to Data Bridge

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.

IRI Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™. Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.

TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.

Composable is an enterprise-grade DataOps platform designed for business users who want to build data-driven products and create data intelligence solutions. It can be used to design data-driven products that leverage disparate data sources, live streams, and event data, regardless of their format or structure. Composable offers a user-friendly, intuitive dataflow visual editor, built-in services that facilitate data engineering, as well as a composable architecture which allows abstraction and integration of any analytical or software approach. It is the best integrated development environment for discovering, managing, transforming, and analysing enterprise data.

The key to success for today's marketers is understanding exactly where and how to invest their next ad dollar. Singular powers marketers to do just that by providing a complete view of marketing ROI with next-gen attribution, full-funnel marketing data, and best-in-class fraud prevention. With Singular's open integration framework, you are able to measure and report on all the channels you work with, including apps, web, SMS, referrals, email, and TV. Singular also empowers you to analyze your ROI by combining attribution with leading cost aggregation through powerful data connectors that allow yo to unlock marketing performance for every campaign, publisher, creative, and keyword. To keep your ad budgets focused on real users and avoid misreporting, Singular provides you with more detection methods and pre-attribution fraud rejection than any other. Still wondering? Top marketers from LinkedIn, Rovio, Microsoft, Lyft, Twitter, EA, and more, rely on Singular for a complete view of their marketing performance.

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.

ibi Data Migrator, a comprehensive ETL tool (Extract Transform Load), is designed to streamline data integration on diverse platforms, including on-premises and cloud environments. It allows for the automation of data mart and data warehouse creation. Source data can be accessed in a variety of formats and operating systems. The platform integrates data from multiple sources into a single or multiple targets. It applies robust data cleansing rules to ensure data quality. Users can schedule data updates based on events or conditional dependencies, and trigger them by user-defined intervals. The system can load star schemas that have slowly changing dimensions. It also offers extensive transaction statistics and extensive logging to provide a deeper insight into data operations. The data management console is a graphical user interface that allows the design, testing and execution of data flows and processes.

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.

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.

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.

Cloud-Native ETL tool. You can load and transform data to your cloud data warehouse in minutes. We have redesigned the traditional ETL process to create a solution for data integration in the cloud. Our solution makes use of the cloud's near-infinite storage capacity, which means that your projects have near-infinite scaling. We reduce the complexity of moving large amounts data by working in the cloud. In just fifteen minutes, you can process a billion rows and go live in five minutes. Modern businesses need to harness their data to gain greater business insight. Matillion can help you take your data journey to the next level by migrating, extracting, and transforming your data in cloud. This will allow you to gain new insights as well as make better business decisions.

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.

Boltic makes it easy to create and orchestrate ETL Pipelines. Boltic allows you to extract, transform, and load multiple data sources into any destination, without having to write code. Build end-to-end pipelines with advanced transformations to get analytics-ready data. Integrate data using a list of over 100 pre-built Integrations. Join multiple data sources with just a few clicks, and you're ready to work in the cloud. Boltic's No Code Transformation or Script Engine can be used to create custom scripts for data exploration and cleaning. Invite team members to work together on a secure data operations platform in the cloud to solve organisational problems faster. Schedule ETL pipelines so that they run automatically at predefined intervals. This will make it easier to import, clean, transform, store, and share data. AI & ML can be used to track and analyze key metrics for business. Gain insights into your business and monitor potential issues or opportunities.

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.

Singer explains how data extraction scripts called taps and data loading scripts called targets should communicate. This allows them to be used in any combination to move any data from any source to any destination. You can send data between web APIs, databases, files, queues, or just about any other type of data you can think of. Simple applications with pipes, called singer taps and targets, are all that's required. There are no daemons nor complicated plugins. Singer applications communicate with JSON which makes them easy to use and implement in any programming language. Singer supports JSON Schema, which allows for rich data types and rigid structures when required. Singer makes it easy for incremental extraction to be supported by Singer's state-preserving invocations.

Datagaps DataOps Suite, a comprehensive platform, automates and streamlines data validation processes throughout the entire data lifecycle. It offers end to end testing solutions for ETL projects (Extract Transform Load), data management, data integration and business intelligence (BI). The key features include automated data cleansing and validation, workflow automation and real-time monitoring, as well as advanced BI analytics. The suite supports multiple data sources including relational databases and NoSQL databases as well as cloud platforms and file-based systems. This ensures seamless integration and scalability. Datagaps DataOps Suite, which uses AI-powered data quality assessment and customizable test scenarios, improves data accuracy, consistency and reliability.

DataOps ETL Validator, the most comprehensive ETL testing and data validation tool, is the most comprehensive ETL testing automation software. Comprehensive ETL/ELT Validation Tool to automate testing of data migration projects and data warehouses with an easy-to-use component-based user interface and low-code, zero-code test creation. ETL involves extracting data, transforming it according to operational needs, and then loading it into the target database or data store. ETL testing involves verifying accuracy, integrity and completeness of the data as it moves along the ETL process in order to ensure that it meets business requirements and rules. Automation of ETL testing is possible with tools that automate data validation, comparison, and transformation tests. This will speed up the testing cycle, reduce manual labor, and significantly accelerate the testing cycle. ETL Validator automates ETL tests by providing intuitive interfaces to create test cases without extensive programming.

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.

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.

Save hours by developing and maintaining ETL/ELT pipelines using an easy-to use environment that allows for effortless debugging. Visualize changes before deployment to simplify development, accelerate testing, and reduce debugging. Work with Python and our simple interface to foster team collaboration and save valuable time during the most difficult development stages. Consolidate data in any format, from any source and any size with no hesitations. Ensure the most accurate data by utilizing error flagging and debugging in real-time within specific data processes as well as across pipelines. Use compute, storage and network bandwidth to auto-scale infrastructure as data volume and speed increase. Real-time data observability can help you identify and pinpoint problems. Zoom in and thoroughly troubleshoot your data pipelines.

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.

Discover insights to boost sales growth with code-free, fully automated data pipelines to data lakes and cloud warehouses. Flexible, standards-based platform that unifies sales and marketing data to automate insights and smarter growth. Say goodbye to manual data downloads that are expensive and messy. You will always know exactly what you'll be charged and only pay what you actually use. Access to data-ready data is a great way to fuel your tools. We only work with official APIs as certified developers. Data pipelines from well-known sources are easy to use. These data pipelines are pre-built, pre-transformed and ready to go. Unlock data from Amazon Vendor Central and Amazon Seller Central, Instagram Stories. Teams can quickly and economically realize the value of their data with code-free data ingestion and transformation. Databricks, Amazon Redshift and other trusted data destinations like Databricks or Amazon Redshift ensure that data is always protected.

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.

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.

Product Data is an organization's most important asset. Sharing this technical data is crucial for success in today’s digitally-paced world. CLOVER CollectIT, a web-based, vendor-neutral file management software, allows you to extract, package and securely distribute PLM data and files. CollectIT makes it easy to share product information with vendors, employees, clients, and vendors. This includes product part and BOM representations as well as related CAD files and other technical documents. Transparency and accessibility are key to reducing errors in production, maintenance, as well as in extended enterprise operations. Reduce bottlenecks and automate compilation of technical packages to allow you to spend less time looking for data and more time doing what you love. Non-PLM users can have direct access to PLM content. This will improve communication and support collaboration.

AWS Glue, a fully managed extract-transform-and-load (ETL) service, makes it easy for customers prepare and load their data for analysis. With just a few clicks, you can create and run ETL jobs. AWS Glue simply points to the AWS Data Catalog and AWS Glue finds your data and stores metadata (e.g. AWS Glue Data Catalog contains the table definition and schema. Once your data has been cataloged, it is immediately searchable and queryable. It is also available for ETL.

SQL Server Integration Services (SSIS), which is used for data extract, loading, and processing (ETL) tasks, presents challenges to developers who are creating data-centric applications using the Microsoft data platform. ETL design is an important aspect of ensuring high-performance data-centric applications. If your SSIS packages don't perform efficiently, you could be wasting development resources, processing speed, and hardware resources.

Centralize, transform & stash your data. Logstash is an open, free server-side data processing platform that ingests data and transforms it before sending it to your favorite "stash". Logstash dynamically ingests and transforms your data, regardless of its format or complexity. With grok, you can create structure from unstructured data, decipher geo coordinates using IP addresses, anonymize sensitive fields or exclude them, and simplify overall processing. Data can be scattered or siloed across many different systems in many formats. Logstash can handle a variety inputs that pull events from many common sources at once. You can stream continuously and easily ingest logs, metrics web applications, data stores, as well as other AWS services in a continuous stream. Download: https://sourceforge.net/projects/logstash.mirror/

Data integration is a key element in digital transformation. Digital transformation is incomplete without data movement and transformation. Organizations must face multiple challenges - Remove silos from information systems - Fast and agile processing of growing data volumes. Also, very different types of information (structured and semi-structured). - Manage large loads and ingest data in real-time (streaming), to make the best decisions Control the infrastructure costs of data storage Stambia offers a unified solution to any type of data processing. It can be deployed on-site or in the cloud, and guarantees control and optimization of costs and data transformation.

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 --

BryteFlow creates the most efficient and automated environments for analytics. It transforms Amazon S3 into a powerful analytics platform by intelligently leveraging AWS ecosystem to deliver data at lightning speed. It works in conjunction with AWS Lake Formation and automates Modern Data Architecture, ensuring performance and productivity.

Crux is used by the most powerful people to increase external data integration, transformation and observability, without increasing their headcount. Our cloud-native data technology accelerates the preparation, observation, and delivery of any external dataset. We can guarantee you receive high-quality data at the right time, in the right format, and in the right location. Automated schema detection, delivery schedule inference and lifecycle management are all tools that can be used to quickly build pipelines from any external source of data. A private catalog of linked and matched data products will increase your organization's discoverability. To quickly combine data from multiple sources and accelerate analytics, enrich, validate, and transform any data set, you can enrich, validate, or transform it.

Talend Data Catalog provides your organization with a single point of control for all your data. Data Catalog provides robust tools for search, discovery, and connectors that allow you to extract metadata from almost any data source. It makes it easy to manage your data pipelines, protect your data, and accelerate your ETL process. Data Catalog automatically crawls, profiles and links all your metadata. Data Catalog automatically documents up to 80% of the data associated with it. Smart relationships and machine learning keep the data current and up-to-date, ensuring that the user has the most recent data. Data governance can be made a team sport by providing a single point of control that allows you to collaborate to improve data accessibility and accuracy. With intelligent data lineage tracking and compliance tracking, you can support data privacy and regulatory compliance.

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.

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.

Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.

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.

Data teams can collaborate as software engineering teams by using version control, quality assurance, documentation, and modularity. Analytics errors should be treated as serious as production product bugs. Analytic workflows are often manual. We believe that workflows should be designed to be executed with one command. Data teams use dbt for codifying business logic and making it available to the entire organization. This is useful for reporting, ML modeling and operational workflows. Built-in CI/CD ensures data model changes are made in the correct order through development, staging, production, and production environments. dbt Cloud offers guaranteed uptime and custom SLAs.

AWS Data Pipeline, a web service, allows you to reliably process and transfer data between different AWS compute- and storage services as well as on premises data sources at specific intervals. AWS Data Pipeline allows you to access your data wherever it is stored, transform it and process it at scale, then transfer it to AWS services like Amazon S3, Amazon RDS and Amazon DynamoDB. AWS Data Pipeline makes it easy to create complex data processing workloads that can be fault-tolerant, repeatable, high-availability, and reliable. You don't need to worry about resource availability, managing intertask dependencies, retrying transient errors or timeouts in individual task, or creating a fail notification system. AWS Data Pipeline allows you to move and process data previously stored in on-premises silos.

Keboola is an open-source serverless integration hub for data/people, and AI models. We offer a cloud-based data integration platform designed to support all aspects of data extraction, cleaning and enrichment. The platform is highly collaborative and solves many of the most difficult problems associated with IT-based solutions. The seamless UI makes it easy for even novice business users to go from data acquisition to building a Python model in minutes. You should try us! You will love it!

TROCCO is an automation and data integration platform that streamlines the data engineering workflow by combining multiple aspects into a single solution. This reduces the time and effort needed to build data pipelines using different tools. It has a wide range of features including ETL/ELT and orchestration, transformation and reverse ETL. This allows for seamless data movement from and to cloud warehouses, allowing downstream analytics, AI and ML applications. TROCCO is a SaaS platform that manages infrastructure and scaling issues, allowing users the freedom to focus on extracting maximum value from their data, rather than managing pipelines. It supports batch and near-real-time data synchronization via HTTP, custom integrations and connectivity to on-premise data sources. Users can transform data with Python or no-code template, model it using SQL or dbt and orchestrate pipelines via an integrated workflow engine.

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.

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

Altova MapForce, an award-winning graphical data mapping tool that allows for any-to–any conversion and integration, is a winner. Its powerful data mapping tools instantly convert your data and offer multiple options to automate repetitive transformations. Altova MapForce provides unparalleled power and flexibility to perform advanced data mapping, conversion, or transformation. The MapForce Platform costs a fraction of traditional data management products. It is also free from legacy design features and baggage that can make it difficult to use. MapForce's interface allows data integration through a graphical interface. It includes many options for managing, visualizing and manipulating individual maps and complex projects. The design pane allows you to graphically create mapping components, add filters and functions for data manipulation, as well as drag connectors to convert between source and destination formats.

Supermetrics began with a bold idea: to make marketing data simple and accessible for businesses everywhere. What started as a small project has grown into a pioneering marketing intelligence platform trusted by over 200K organizations worldwide, including renowned brands like Nestlé, Warner Bros, and Dyson. From the beginning, Supermetrics has been driven by a mission to empower marketers and data analysts with seamless data access and mastery, no matter where they are on their journey. The platform has evolved into an easy-to-use solution that extracts and consolidates data from over 150 marketing and sales platforms—like Google Analytics, Facebook Ads, and HubSpot—into preferred destinations, helping teams streamline their analytics and make data-driven decisions. This dedication to innovation earned Supermetrics a spot on G2’s 2024 Top 50 Best EMEA Software Companies list. At the heart of Supermetrics is a commitment to transparency, innovation, and customer success. We believe data has the power to tell stories, solve problems, and create opportunities. As the marketing landscape evolves, Supermetrics remains committed to leading the way, helping clients not only succeed but excel with cutting-edge solutions.

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.

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.

iCEDQ, a DataOps platform that allows monitoring and testing, is a DataOps platform. iCEDQ is an agile rules engine that automates ETL Testing, Data Migration Testing and Big Data Testing. It increases productivity and reduces project timelines for testing data warehouses and ETL projects. Identify data problems in your Data Warehouse, Big Data, and Data Migration Projects. The iCEDQ platform can transform your ETL or Data Warehouse Testing landscape. It automates it from end to end, allowing the user to focus on analyzing the issues and fixing them. The first edition of iCEDQ was designed to validate and test any volume of data with our in-memory engine. It can perform complex validation using SQL and Groovy. It is optimized for Data Warehouse Testing. It scales based upon the number of cores on a server and is 5X faster that the standard edition.

Many people use Excel, VBA/Python or SQL queries to prepare data. EasyMorph is a purpose built application that has more than 150 built in actions that allow for quick and visual data transformations and automation without the need to code. EasyMorph makes it easy to get rid of complicated scripts and tedious spreadsheets and boosts your productivity. Access data from spreadsheets, emails, email attachments, text files and remote folders. SharePoint, and web (REST APIs) without programming. Visual queries and tools can be used to filter and extract the data you need, without having to ask the IT guys. Automate routine operations using files, spreadsheets websites and emails, without having to write a single line code. One button click can replace repetitive tasks.