Best Data Management Software for Datagaps ETL Validator
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Compare the Top Data Management Software that integrates with Datagaps ETL Validator as of October 2024
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This a list of Data Management software that integrates with Datagaps ETL Validator. Use the filters on the left to add additional filters for products that have integrations with Datagaps ETL Validator. View the products that work with Datagaps ETL Validator in the table below.
What is Data Management Software for Datagaps ETL Validator?
Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security. Compare and read user reviews of the best Data Management software for Datagaps ETL Validator currently available using the table below. This list is updated regularly.
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1
Tableau
Tableau
Gain, generate, and analyze business data and meaningful insights with Tableau, an integrated business intelligence (BI) and analytics solution. With Tableau, users are able to collect data from different sources such as spreadsheets, SQL databases, Salesforce, and cloud apps. Tableau provides users with real-time visual analytics and interactive dashboard that enables them to slice and dice datasets for making relevant insights and look for new opportunities. Tableau also allows users to customize the platform to serve different kinds of industry verticals like banking, communication, and more. -
2
Snowflake
Snowflake
Your cloud data platform. Secure and easy access to any data with infinite scalability. Get all the insights from all your data by all your users, with the instant and near-infinite performance, concurrency and scale your organization requires. Seamlessly share and consume shared data to collaborate across your organization, and beyond, to solve your toughest business problems in real time. Boost the productivity of your data professionals and shorten your time to value in order to deliver modern and integrated data solutions swiftly from anywhere in your organization. Whether you’re moving data into Snowflake or extracting insight out of Snowflake, our technology partners and system integrators will help you deploy Snowflake for your success.Starting Price: $40.00 per month -
3
Azure Synapse Analytics
Microsoft
Azure Synapse is Azure SQL Data Warehouse evolved. Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs. -
4
Oracle Analytics Cloud
Oracle
Oracle Analytics Cloud provides the industry’s most comprehensive cloud analytics in a single unified platform, including everything from self-service visualization and powerful inline data preparation to enterprise reporting, advanced analytics, and self-learning analytics that deliver proactive insights. With support for more than 50 data sources and an extensible, open framework, Oracle Analytics Cloud gives you a complete, connected, collaborative platform that brings the power of data and analytics to every process, interaction, and decision in every environment – cloud, on-premises, desktop and data center. Preparing and cleansing your data is an important step before visualizing a data set. For example, the set might have sensitive data such as customers' social security numbers that you don't want to expose. -
5
Azure Databricks
Microsoft
Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO).
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