Best Data Integration Tools for SolarWinds Pingdom
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Compare the Top Data Integration Tools that integrate with SolarWinds Pingdom as of October 2025
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This a list of Data Integration tools that integrate with SolarWinds Pingdom. Use the filters on the left to add additional filters for products that have integrations with SolarWinds Pingdom. View the products that work with SolarWinds Pingdom in the table below.
What are Data Integration Tools for SolarWinds Pingdom?
Data integration tools help organizations combine data from multiple sources into a unified, coherent system for analysis and decision-making. These tools streamline the process of gathering, transforming, and loading data (ETL) from various databases, applications, and cloud services, ensuring consistent data across platforms. They provide features like data cleansing, mapping, and real-time synchronization, ensuring data accuracy and reliability. With automated workflows and connectors, data integration tools reduce manual effort and eliminate data silos, improving operational efficiency. Ultimately, they enable businesses to make better, data-driven decisions by providing a comprehensive view of their information landscape. Compare and read user reviews of the best Data Integration tools for SolarWinds Pingdom currently available using the table below. This list is updated regularly.
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1
Workato
Workato
Workato is the operating system for today’s fast-moving business. Recognized as a leader by both Gartner and Forrester, it is the only AI-based middleware platform that enables both business and IT to integrate their apps and automate complex business workflows with security and governance. Given the massive and growing fragmentation of data, apps, and business processes in enterprises today, our mission is to help companies integrate and automate at least 10 times faster than traditional tools and at a tenth of the cost of ownership. We believe Integration is a mission-critical, neutral technology for the dynamic and heterogeneous IT environments of today. We are the only technology vendor backed by all 3 of the top SaaS vendors: Salesforce, Workday, and ServiceNow. Trusted by world's top brands as well as its fastest-growing innovators, we are most appreciative of the fact that customers recognize us as being among the best companies to do business with.Starting Price: $10,000 per feature per year -
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Peaka
Peaka
Integrate all your data sources, relational and NoSQL databases, SaaS tools, and APIs. Query them as a single data source immediately. Process data wherever it is. Query, cache, and blend data from different sources. Use webhooks to ingest streaming data from Kafka, Segment, etc., into the Peaka BI Table. Replace nightly one-time batch ingestion with real-time data access. Treat every data source like a relational database. Convert any API to a table, and blend and join it with your other data sources. Use the familiar SQL to run queries in NoSQL databases. Retrieve data from both SQL and NoSQL databases utilizing the same skill set. Query and filter your consolidated data to form new data sets. Expose them with APIs to serve other apps and systems. Do not get bogged down in scripts and logs while setting up your data stack. Eliminate the burden of building, managing, and maintaining ETL pipelines.Starting Price: $1 per month -
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Data Virtuality
Data Virtuality
Connect and centralize data. Transform your existing data landscape into a flexible data powerhouse. Data Virtuality is a data integration platform for instant data access, easy data centralization and data governance. Our Logical Data Warehouse solution combines data virtualization and materialization for the highest possible performance. Build your single source of data truth with a virtual layer on top of your existing data environment for high data quality, data governance, and fast time-to-market. Hosted in the cloud or on-premises. Data Virtuality has 3 modules: Pipes, Pipes Professional, and Logical Data Warehouse. Cut down your development time by up to 80%. Access any data in minutes and automate data workflows using SQL. Use Rapid BI Prototyping for significantly faster time-to-market. Ensure data quality for accurate, complete, and consistent data. Use metadata repositories to improve master data management.
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