Best Data Integration Tools in the UK - Page 2

Version control, quality assurance, documentation, and modularity enable data teams to work together similarly to software engineering teams. It is crucial to address analytics errors with the same urgency as one would for bugs in a live product. A significant portion of the analytic workflow is still performed manually. Therefore, we advocate for workflows to be designed for execution with a single command. Data teams leverage dbt to encapsulate business logic, making it readily available across the organization for various purposes including reporting, machine learning modeling, and operational tasks. The integration of continuous integration and continuous deployment (CI/CD) ensures that modifications to data models progress smoothly through the development, staging, and production phases. Additionally, dbt Cloud guarantees uptime and offers tailored service level agreements (SLAs) to meet organizational needs. This comprehensive approach fosters a culture of reliability and efficiency within data operations.

Prophecy expands accessibility for a wider range of users, including visual ETL developers and data analysts, by allowing them to easily create pipelines through a user-friendly point-and-click interface combined with a few SQL expressions. While utilizing the Low-Code designer to construct workflows, you simultaneously generate high-quality, easily readable code for Spark and Airflow, which is then seamlessly integrated into your Git repository. The platform comes equipped with a gem builder, enabling rapid development and deployment of custom frameworks, such as those for data quality, encryption, and additional sources and targets that enhance the existing capabilities. Furthermore, Prophecy ensures that best practices and essential infrastructure are offered as managed services, simplifying your daily operations and overall experience. With Prophecy, you can achieve high-performance workflows that leverage the cloud's scalability and performance capabilities, ensuring that your projects run efficiently and effectively. This powerful combination of features makes it an invaluable tool for modern data workflows.

Airbyte is a data integration platform that operates on an open-source model, aimed at assisting organizations in unifying data from diverse sources into their data lakes, warehouses, or databases. With an extensive library of over 550 ready-made connectors, it allows users to craft custom connectors with minimal coding through low-code or no-code solutions. The platform is specifically designed to facilitate the movement of large volumes of data, thereby improving artificial intelligence processes by efficiently incorporating unstructured data into vector databases such as Pinecone and Weaviate. Furthermore, Airbyte provides adaptable deployment options, which help maintain security, compliance, and governance across various data models, making it a versatile choice for modern data integration needs. This capability is essential for businesses looking to enhance their data-driven decision-making processes.

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.

Ensure that your data is always accessible, secure, and cost-effective by utilizing Tiger Bridge. This innovative solution seamlessly links your locally stored data to various storage options, including cloud, tape, and disk, while maintaining its original format for easy access. Tiger Bridge operates purely as software, eliminating the need for extra hardware or virtual appliances, and its installation and configuration are completed in mere minutes, making it user-friendly. Setting up policies is a simple process, and the integration occurs at either the file system level or through network sharing. As your team continues their work, the policies run quietly in the background, automatically replicating data to your preferred storage solution. Maximize your hardware investment by extending storage capabilities to the cloud with a flexible pay-as-you-go approach. Designed to accommodate data sets of any scale, Tiger Bridge optimizes storage configurations for even the most intensive workflows, catering to a range of industries, from post-production studios and civil engineering firms to expansive medical institutions. With Tiger Bridge, you can streamline your data management process while ensuring scalability and efficiency for future demands.

The Stackable data platform was crafted with a focus on flexibility and openness. It offers a carefully selected range of top-notch open source data applications, including Apache Kafka, Apache Druid, Trino, and Apache Spark. Unlike many competitors that either promote their proprietary solutions or enhance vendor dependence, Stackable embraces a more innovative strategy. All data applications are designed to integrate effortlessly and can be added or removed with remarkable speed. Built on Kubernetes, it is capable of operating in any environment, whether on-premises or in the cloud. To initiate your first Stackable data platform, all you require is stackablectl along with a Kubernetes cluster. In just a few minutes, you will be poised to begin working with your data. You can set up your one-line startup command right here. Much like kubectl, stackablectl is tailored for seamless interaction with the Stackable Data Platform. Utilize this command line tool for deploying and managing stackable data applications on Kubernetes. With stackablectl, you have the ability to create, delete, and update components efficiently, ensuring a smooth operational experience for your data management needs. The versatility and ease of use make it an excellent choice for developers and data engineers alike.

Diffusion stands at the forefront of real-time data streaming and messaging innovations. Established to address the challenges of real-time systems, application connectivity, and data distribution faced by businesses globally, the company boasts a diverse team of professionals in both business and technology. Its premier product, the Diffusion data platform, streamlines the process of consuming, enriching, and reliably delivering data. Organizations can swiftly leverage both existing and new data sources, as the platform is specifically designed for straightforward event-driven, real-time application development, allowing for the rapid addition of new functionalities while keeping development costs low. It adeptly manages any data size, format, or speed and features a versatile hierarchical data model that organizes incoming event data into a multi-level topic tree. Furthermore, Diffusion is highly scalable, accommodating millions of topics and facilitating the transformation of event data through the platform's low-code capabilities. Users can subscribe to event data with remarkable precision, fostering hyper-personalization and enhancing the user experience. This robust platform not only meets current demands but also anticipates future needs in data management.

Dromo is a quick-deploy, self-service data file importer that allows users to easily upload data from various formats such as CSV, XLS, and XLSX. With its user-friendly embeddable importer, users are guided through the processes of validating, cleaning, and transforming their data files, ensuring that the final product is high quality and in the desired format. The AI-driven column matching feature of Dromo simplifies the task of aligning imported data with your existing schema, while its robust validation processes work seamlessly with your application. Security is a priority for Dromo, which offers a private mode that processes data entirely within the user’s browser, allowing direct file uploads to your cloud storage without any third-party interference. In addition to being SOC 2 certified and GDPR-compliant, Dromo is dedicated to maintaining data privacy and security at all levels. Moreover, it provides extensive customization options to align with your brand's identity and supports a wide range of languages to cater to diverse user needs. This combination of features makes Dromo a versatile tool for efficient data management.

Impler is an innovative open-source infrastructure for data importation, crafted to assist engineering teams in creating comprehensive data import solutions without the need to repeatedly start from scratch. It features an intuitive guided importer that leads users through seamless data upload processes, along with intelligent auto-mapping capabilities that match user file headers to designated columns, thereby minimizing the likelihood of errors. Additionally, it incorporates thorough validation checks to confirm that each cell conforms to established schemas and custom criteria. The platform includes validation hooks that empower developers to implement custom JavaScript for validating data against external databases, and it also boasts an Excel template generator that produces personalized templates tailored to specified columns. Furthermore, Impler facilitates the import of data accompanied by images, allowing users to seamlessly upload visual content alongside their data entries, while also providing an auto-import functionality that can automatically retrieve and import data on a pre-set schedule. This combination of features makes Impler a powerful tool for enhancing data import processes across various projects.

Etleap was created on AWS to support Redshift, snowflake and S3/Glue data warehouses and data lakes. Their solution simplifies and automates ETL through fully-managed ETL as-a-service. Etleap's data wrangler allows users to control how data is transformed for analysis without having to write any code. Etleap monitors and maintains data pipes for availability and completeness. This eliminates the need for constant maintenance and centralizes data sourced from 50+ sources and silos into your database warehouse or data lake.

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!

Hull serves as a robust customer data integration platform, empowering sales and marketing teams to attain a comprehensive view of their customers while effortlessly automating their strategies for activation, acquisition, and retention. Both powerful and user-friendly, this consolidated customer database can dynamically transform, enhance, and categorize data across all your tools in real-time. Through its array of pre-built integrations, Hull links your various tools to facilitate the creation of segments, initiate workflows, ensure timely updates to customer profiles, and amplify business opportunities. Additionally, the platform's ability to streamline data processes fosters a more cohesive approach to customer relationship management.

Dell Boomi AtomSphere offers a streamlined solution for integrating various business applications effortlessly. As a single-instance, multi-tenant integration platform as a service (iPaaS), it equips organizations and their teams with a comprehensive array of features that enhance integration speed and ease of management. Boomi AtomSphere's visual design interface coupled with robust performance guarantees both scalability and high availability, catering to all requirements related to application integration. This innovative platform empowers businesses to connect their software seamlessly while optimizing operational efficiency.

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

Spotfire stands out as the most comprehensive analytics solution available, empowering users to delve into and visualize new insights from data through engaging dashboards and sophisticated analytics tools. The platform offers extensive capabilities, such as predictive analytics, geolocation analytics, and streaming analytics, all designed to operate at scale. Additionally, with the introduction of Spotfire Mods, users can quickly and repeatedly create customized analytic applications that can grow alongside their needs. The seamless experience provided by the Spotfire analytics platform merges visual analytics, data exploration, and intuitive insights all in one interface. Users can engage deeply with both historical and real-time data in an interactive manner, effortlessly navigating through various multi-layered, disparate data sources using fully brush-linked and responsive visualizations. Envision the possibilities and swiftly develop scalable, customized analytics applications with the Spotfire Mods framework, ensuring you harness the full capabilities of Spotfire software in your tailored analytics solutions. As the demand for data-driven decision-making grows, Spotfire remains at the forefront of delivering innovative and efficient analytics tools for diverse users.

Utilihive, a cloud-native big-data integration platform, is offered as a managed (SaaS) service. Utilihive, the most popular Enterprise-iPaaS (iPaaS), is specifically designed for utility and energy usage scenarios. Utilihive offers both the technical infrastructure platform (connectivity and integration, data ingestion and data lake management) and preconfigured integration content or accelerators. (connectors and data flows, orchestrations and utility data model, energy services, monitoring and reporting dashboards). This allows for faster delivery of data-driven services and simplifies operations.

When you have the expertise of an enterprise partner combined with a scalable, easy-to-use data management suite, you can take back control of your data, access it from anywhere, ensure security and compliance, and unlock its power to grow your business. Why Use Sesame Software? Relational Junction builds, populates, and incrementally refreshes your data automatically. Enhance Data Quality - Convert data from multiple sources into a consistent format – leading to more accurate data, which provides the basis for solid decisions. Gain Insights - Automate the update of information into a central location, you can use your in-house BI tools to build useful reports to avoid costly mistakes. Fixed Price - Avoid high consumption costs with yearly fixed prices and multi-year discounts no matter your data volume.

MetaRouter gathers user events from websites or apps and routes them to any third party tool. It also centralizes data in one place for storage, analysis, and storage. It can be set-up with one snippet (using analytics.js), so that marketers can add or remove tools through a user interface, after initial event tracking setup.

Qlik Replicate is an advanced data replication solution that provides efficient data ingestion from a wide range of sources and platforms, ensuring smooth integration with key big data analytics tools. It offers both bulk replication and real-time incremental replication through change data capture (CDC) technology. Featuring a unique zero-footprint architecture, it minimizes unnecessary strain on critical systems while enabling seamless data migrations and database upgrades without downtime. This replication capability allows for the transfer or consolidation of data from a production database to an updated version, a different computing environment, or an alternative database management system, such as migrating data from SQL Server to Oracle. Additionally, data replication is effective for relieving production databases by transferring data to operational data stores or data warehouses, facilitating improved reporting and analytics. By harnessing these capabilities, organizations can enhance their data management strategy, ensuring better performance and reliability across their systems.

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.

TENGU is a Data orchestration platform that serves as a central workspace for all data profiles to work more efficiently and enhance collaboration. Allowing you to get the most out of your data, faster. It allows complete control over your data environment in an innovative graph view for intuitive monitoring. Connecting all necessary tools in one workspace. It enables self-service, monitoring and automation, supporting all data roles and operations from integration to transformation.

Flatfile is an advanced data exchange platform that simplifies the process of importing, cleaning, transforming, and managing data for businesses. It provides a robust suite of APIs, allowing seamless integration into existing systems for efficient file-based data workflows. With an intuitive interface, the platform supports easy data management through features like search, sorting, and automated transformations. Built with strict compliance to SOC 2, HIPAA, and GDPR standards, Flatfile ensures data security and privacy while leveraging a scalable cloud infrastructure. By reducing manual effort and improving data quality, Flatfile accelerates data onboarding and supports businesses in achieving better operational efficiency.

CData Connect Real-time operational and business data is critical for your organization to provide actionable insights and drive growth. CData Connect is the missing piece in your data value chain. CData Connect allows direct connectivity to any application that supports standard database connectivity. This includes popular cloud BI/ETL applications such as: - Amazon Glue - Amazon QuickSight Domo - Google Apps Script - Google Cloud Data Flow - Google Cloud Data Studio - Looker - Microsoft Power Apps - Microsoft Power Query - MicroStrategy Cloud - Qlik Sense Cloud - SAP Analytics Cloud SAS Cloud SAS Viya - Tableau Online ... and many other things! CData Connect acts as a data gateway by translating SQL and securely proxying API calls.

Now, anyone can quickly uncover insights buried within their company data in just seconds. With search functionality, users can analyze their data and receive automated insights precisely when needed. ThoughtSpot enables anyone to pose questions, discover insights, and delve deeply into their organizational data almost instantaneously. No longer do you have to wait for specialized reports from data professionals; you can now address ad-hoc data inquiries immediately. This empowers individuals without technical backgrounds to find answers to their own data-related questions while you create a comprehensive source of truth that maintains security and governance across the board. By maximizing the potential of your cloud data warehouse, you can enhance the speed at which insights are obtained for everyone in your organization. In just minutes, democratize access to insights and revolutionize how your company leverages data. Explore how leading-edge companies are utilizing ThoughtSpot to extract greater value from their data resources. Furthermore, it can be deployed as either SaaS or as software within your private virtual cloud, ensuring that AI-driven insights are available to you more promptly than ever before. Ultimately, this transformative approach to data usage can lead to significant improvements in business decision-making.

Easily expose and utilize APIs for legacy systems with minimal configuration, while simultaneously capturing and transmitting large datasets through real-time data interchange without the need for development. The integration landscape in cloud environments can be managed more effectively with straightforward and unified configurations, addressing a common challenge faced by organizations of any size when it comes to merging diverse systems and datasets. This integration hurdle often presents itself in various contexts, whether it involves on-premise applications, cloud-based solutions, or interoperability between different cloud services. The Adaptris Interlok™ Integration Framework serves as an event-driven architecture that empowers architects to swiftly link various applications, communication protocols, and data formats, resulting in a cohesive integrated solution. It provides effortless connections to hundreds of applications and supports a wide array of data standards and communication protocols. Additionally, the framework offers the capacity to cache data, which significantly diminishes the latency experienced during multiple requests to slower or distant backend systems, enhancing overall performance and efficiency. Ultimately, this framework streamlines the integration process, making it more accessible for organizations navigating complex technological landscapes.