Best Data Integration Tools in New Zealand - Page 7

Easily link your production line to various systems such as SAP, Grafana, MS PowerBI, or tailored IT configurations. DataTalk OT/IT ensures a smooth connection between operational technology (OT) and information technology (IT), effectively communicating with your PLCs, sensors, and IIoT devices. Featuring a user-friendly, no-code graphical compute module, transforming and integrating data becomes a straightforward task. It can be deployed on Windows, Linux, or embedded devices, or you can opt for the DataTalk IPC for a rapid setup in just one minute. Transform your factory operations with DataTalk OT/IT, the ideal bridge connecting your machinery to the Cloud, enhancing efficiency and productivity.

Exsited serves as a powerful integration-first operations platform designed to seamlessly connect existing business systems. By consolidating CRMs, accounting software, job scheduling tools, and fulfillment services into one cohesive environment, it ensures that data remains synchronized and operations flow effortlessly. In addition to its integration capabilities, Exsited provides sophisticated business solutions tailored for everyday operational needs. Retailers leverage Exsited for efficient inventory and order management, as well as for coordinating purchases and suppliers. The platform enables automatic order fulfillment across various warehouses and third-party logistics partners, while also maintaining stock synchronization across diverse sales channels and marketplaces. Moreover, Exsited simplifies the digitization of interactions through customizable and brandable portals. Organizations can create portals for client requests, supplier onboarding, internal approvals, or service submissions, all under their own brand identity. Equipped with a no-code workflow builder and integrated sync monitoring, teams can have confidence that every operational process will function smoothly and reliably. This level of integration and efficiency empowers businesses to focus on growth and innovation rather than getting bogged down by disjointed systems.

Today, there is a considerable amount of discussion surrounding how top-tier companies are leveraging big data to achieve a competitive edge. Your organization aims to join the ranks of these industry leaders. Nevertheless, the truth is that more than 80% of big data initiatives fail to reach production due to the intricate and resource-heavy nature of implementation, often extending over months or even years. The technology involved is multifaceted, and finding individuals with the requisite skills can be prohibitively expensive or nearly impossible. Moreover, automating the entire data workflow from its source to its end use is essential for success. This includes automating the transition of data and workloads from outdated Data Warehouse systems to modern big data platforms, as well as managing and orchestrating intricate data pipelines in a live environment. In contrast, alternative methods like piecing together various point solutions or engaging in custom development tend to be costly, lack flexibility, consume excessive time, and necessitate specialized expertise to build and sustain. Ultimately, adopting a more streamlined approach to big data management can not only reduce costs but also enhance operational efficiency.

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

Cloudera DataFlow for the Public Cloud (CDF-PC) is a versatile, cloud-based data distribution solution that utilizes Apache NiFi, enabling developers to seamlessly connect to diverse data sources with varying structures, process that data, and deliver it to a wide array of destinations. This platform features a flow-oriented low-code development approach that closely matches the preferences of developers when creating, developing, and testing their data distribution pipelines. CDF-PC boasts an extensive library of over 400 connectors and processors that cater to a broad spectrum of hybrid cloud services, including data lakes, lakehouses, cloud warehouses, and on-premises sources, ensuring efficient and flexible data distribution. Furthermore, the data flows created can be version-controlled within a catalog, allowing operators to easily manage deployments across different runtimes, thereby enhancing operational efficiency and simplifying the deployment process. Ultimately, CDF-PC empowers organizations to harness their data effectively, promoting innovation and agility in data management.

DataNimbus, an AI-powered platform, streamlines payments and accelerates AI implementation through innovative solutions. DataNimbus improves scalability and governance by seamlessly integrating Databricks components such as Spark, Unity Catalog and ML Ops. Its offerings include a designer, a marketplace of reusable connectors and blocks for machine learning, and agile APIs. All are designed to simplify workflows while driving data-driven innovation.

Effortlessly merge information from older systems into modern cloud and data platforms using a single solution. Connect empowers you to manage your data transition from mainframe to cloud environments. It facilitates data integration through both batch processing and real-time ingestion, enabling sophisticated analytics, extensive machine learning applications, and smooth data migration processes. Drawing on years of experience, Connect harnesses Precisely's leadership in mainframe sorting and IBM i data security to excel in the complex realm of data access and integration. The solution guarantees access to all essential enterprise data for crucial business initiatives by providing comprehensive support for a variety of data sources and targets tailored to meet all your ELT and CDC requirements. This ensures that organizations can adapt and evolve their data strategies in a rapidly changing digital landscape.

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.

DQLabs boasts ten years of expertise in delivering data solutions tailored for Fortune 100 companies, focusing on areas such as data integration, governance, analytics, visualization, and data science. The platform is equipped with comprehensive features that allow for autonomous execution, eliminating the need for manual configurations. Utilizing advanced AI and machine learning technologies, it ensures scalability, governance, and end-to-end automation are seamlessly achieved. Furthermore, it offers straightforward integration with various tools within the data ecosystem. By harnessing AI and machine learning, this innovative platform enhances decision-making across all facets of data management. Gone are the days of cumbersome ETL processes, workflows, and rigid rules; instead, organizations can embrace a new era of AI-driven decision-making that adapts and recalibrates automatically in response to evolving business strategies and emerging data patterns. This adaptability ensures that businesses remain agile and responsive in the ever-changing landscape of data management.