Best Data Integration Tools - Page 6

CData Python Connectors simplify the way that Python users connect to SaaS, Big Data, NoSQL, and relational data sources. Our Python Connectors offer simple Python database interfaces (DB-API), making it easy to connect with popular tooling like Jupyter Notebook, SQLAlchemy, pandas, Dash, Apache Airflow, petl, and more. CData Python Connectors create a SQL wrapper around APIs and data protocols, simplifying data access from within Python and enabling Python users to easily connect more than 150 SaaS, Big Data, NoSQL, and relational data sources with advanced Python processing. The CData Python Connectors fill a critical gap in Python tooling by providing consistent connectivity with data-centric interfaces to hundreds of different SaaS/Cloud, NoSQL, and Big Data sources. Download a 30-day free trial or learn more at: https://www.cdata.com/python/

Sync data between your production systems using an extensible, event-first experience with minimal dependencies that fit within your existing workflow. Eliminate the multi-step process you go through today. Just download the binary and start building. Conduit pipelines listen for changes to a database, data warehouse, etc., and allows your data applications to act upon those changes in real-time. Conduit connectors give you the ability to pull and push data to any production datastore you need. If a datastore is missing, the simple SDK allows you to extend Conduit where you need it. Run it in a way that works for you; use it as a standalone service or orchestrate it within your infrastructure.

Adoki streamlines data transfers to and from any platform or system—whether it's a data warehouse, database, cloud service, Hadoop platform, or streaming application—on both one-time and recurring schedules. It adapts to your IT infrastructure's workload, adjusting transfer or replication processes to optimal times when needed. With centralized management and monitoring of data transfers, Adoki allows you to handle your data operations with a smaller, more efficient team.

CONTACT Elements is an integration platform designed to streamline and synchronize business processes across various systems, including ERP, PLM, CAx applications, and Office tools. By eliminating data silos and ensuring reliable, automatic data distribution, it reduces manual data collection costs and enhances information accessibility, leading to shorter search times. The platform accelerates workflows through synchronized processes; for instance, in engineering change procedures, digital workflows monitor result provisions, minimize idle times, and map process chains across systems like PLM and ERP. Automatic data synchronization guarantees that employees have access to the latest information across all participating systems. CONTACT Elements also facilitates the integration of assets and devices for IoT solutions, promoting data-driven processes and monitoring manufacturing systems.

ZARUS is Maiora’s end-to-end No-Code/Low-Code Data Infrastructure Platform designed to help enterprises integrate, govern, transform, visualise, and observe data seamlessly across cloud, on-premises, and legacy systems. Built for speed, scalability, and compliance, ZARUS eliminates data silos, streamlines workflows, and enables organisations to unlock real-time, AI-ready insights without the burden of high-code development or multiple toolchains. With pre-built connectors, advanced data quality management, observability dashboards, and secure governance frameworks, ZARUS empowers CIOs, CTOs, CDOs, and CFOs to make faster, smarter decisions while reducing operational complexity and costs.

There is a consistent “buzz” today about how leading companies are harnessing big data for competitive advantage. Your organization is striving to become one of those market-leading companies. However, the reality is that over 80% of big data projects fail to deploy to production because project implementation is a complex, resource-intensive effort that takes months or even years. The technology is complicated, and the people who have the necessary skills are either extremely expensive or impossible to find. Automates the complete data workflow from source to consumption. Automates migration of data and workloads from legacy Data Warehouse systems to big data platforms. Automates orchestration and management of complex data pipelines in production. Alternative approaches such as stitching together multiple point solutions or custom development are expensive, inflexible, time-consuming and require specialized skills to assemble and maintain.

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

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native universal data distribution service powered by Apache NiFi ​​that lets developers connect to any data source anywhere with any structure, process it, and deliver to any destination. CDF-PC offers a flow-based low-code development paradigm that aligns best with how developers design, develop, and test data distribution pipelines. With over 400+ connectors and processors across the ecosystem of hybrid cloud services—including data lakes, lakehouses, cloud warehouses, and on-premises sources—CDF-PC provides indiscriminate data distribution. These data distribution flows can then be version-controlled into a catalog where operators can self-serve deployments to different runtimes.

DataNimbus is an AI-powered platform that streamlines payments and accelerates AI adoption through innovative, cost-efficient solutions. By seamlessly integrating with Databricks components like Spark, Unity Catalog, and ML Ops, DataNimbus enhances scalability, governance, and runtime operations. Its offerings include a visual designer, a marketplace for reusable connectors and machine learning blocks, and agile APIs, all designed to simplify workflows and drive data-driven innovation.

Integrate data seamlessly from legacy systems into next-gen cloud and data platforms with one solution. Connect helps you take control of your data from mainframe to cloud. Integrate data through batch and real-time ingestion for advanced analytics, comprehensive machine learning and seamless data migration. Connect leverages the expertise Precisely has built over decades as a leader in mainframe sort and IBM i data availability and security to lead the industry in accessing and integrating complex data. Access to all your enterprise data for the most critical business projects is ensured by support for a wide range of sources and targets for all your ELT and CDC needs.

Your business depends on real-time data from your backend systems to deliver actionable insights and drive growth. The CData Power BI Connectors are the missing link in your data value chain. The CData Power BI Connectors offer the fastest & easiest way to connect Power BI to 250+ enterprise data sources, so you can finally leverage Power BI for truly universal data analysis. Easily connect Microsoft Power BI with live accounting, CRM, ERP, marketing automation, on-premise, and cloud data for real-time visual analysis and reporting. Power BI connectors are available for many popular data sources, including: - Microsoft Dynamics CRM - MongoDB - NetSuite - QuickBooks - Sage Intacct - Salesforce - SAP - Sharepoint - Snowflake - And 200+ More! The CData Connectors offer superior query speed and performance through connectivity features like DirectQuery and QueryPushdown.

DQLabs has a decade of experience in providing data related solutions to fortune 100 clients around data integration, data governance, data analytics, data visualization, and data science-related solutions. The platform has all the inbuilt features to make autonomous execution without any manual or configuration. With this AI and ML-powered tool, scalability, governance, and automation from end to end are possible. It also provides easy integration and compatibility with other tools in the data ecosystem. With the use of AI and Machine Learning, the decision is made possible in all aspects of data management. No more ETL, workflows, and rules – leverage the new world of AI decisioning in data management as the platform learns and reconfigures rules automatically as business strategy shifts and demands new data patterns, trends.