Connect, analyze, match, and optimize to higher levels of data quality, data accuracy, and data usability with just a few clicks - all on our highly-performant parallel processing architecture
Check out the AI-driven APIs at the core of this Cloud Data Connect offering - see how we quickly identify inconsistent, redundant, and otherwise problematic data in your datasets with Single Value APIs as well as the Full Dataset APIs that leverage our high-speed, parallel processing architecture.
Explore Interzoid's AI-Powered Data Matching APIsConnect to all major Cloud database types and work with various file formats, including CSV, TSV, and Excel, both local sources and those accessible via URL. Run match reports, identify inconsistency, normalize, and more without exporting data.
Learn More About Data Sources and File TypesIncorporate these full dataset, batch-like capabilities as part of your workflow, pipelines, ETL/ELT, data ops, and more using our APIs/SDKs - all at high speeds on our parallel-processing platform.
Explore AI-Powered Full Dataset MatchingCheck out a quick step-by-step example of the Cloud Data Connect Matching Wizard with sample data, including different file and database types, that uses the Full Dataset Matching API behind-the-scenes.
View TutorialExperience Cloud Data Connect capabilities on the Snowflake Data Cloud with our fully-integrated Snowflake Native Application, enabling quick and easy AI-driven matching on Snowflake SQL tables.
Learn MoreExperience the power of Cloud Data Connect today. Sign up for an account with trial usage, and get your API Key - the same one you would use with our single-value APIs. Start optimizing your data for higher quality, accuracy, usability, and value!
Create Your AccountThe Cloud Data Connect Wizard is a tool that simplifies the process of connecting to various data sources, such as Cloud databases, CSV/TSV text files, and Excel spreadsheets, allowing users to run match reports, identify data inconsistencies, and more, all through a user-friendly, step-by-step interface.
The matching report feature analyzes data to identify similar entries based on generated similarity keys, helping users find inconsistent, non-normalized, or redundant data effectively.
Users can connect to top Cloud databases like PostgreSQL, MySQL, AWS RDS/Aurora, Azure SQL, Google Cloud SQL, Snowflake, and others, as well as CSV/TSV text files, Parquet files, and Excel spreadsheets, either stored in the Cloud or locally.
Users can connect to databases or files by providing the necessary connection information or URLs, following guided steps within the Wizard to ensure secure and correct access.
A similarity key is an identifier used to group similar data entries, aiding in the detection of duplicates or inconsistencies within or across datasets, thereby facilitating data normalization and deduplication.
Yes, the Wizard allows users to create new database tables with similarity keys, enabling the establishment of links between related data entries for enhanced matching and analysis.
Behind the scenes, the Wizard employs our SmartMatchAI technology, which leverages Generative AI-enhanced algorithms, Machine Learning, data content type-specific advanced algorithms, relevant knowledge bases, and more to optimize the data matching processes.
Interzoid uses a credits-based system, where each API call deducts a credit from your balance. Credits are purchased either pay-as-you-go, or monthly and annually, with annual subscriptions offering a cost benefit.
An API key acts as a license key that you register for, tracking usage and providing authentication for the user. It is essential for accessing and utilizing the Cloud Data Connect's features securely.
To connect to a Cloud database, users can provide their database connection details via connection strings, facilitating a secure link to their Cloud-hosted data for analysis.
The Wizard allows users to browse and connect to local files or input URLs for Cloud-stored files, ensuring versatile access to data sources for analysis.
Users can generate match reports, view data clusters, and analyze similarity keys, among other options, to understand and improve their data quality comprehensively.
The Wizard provides results in various formats, including text files, JSON, and HTML, catering to different user preferences for review and further analysis.
By identifying duplicate, inconsistent, or non-normalized data, the Wizard helps users enhance data accuracy, reliability, and usability, contributing to better data management practices.
Yes, the Wizard is equipped to handle company and individual name matching, utilizing its algorithms to identify and group similar names efficiently.
Users can integrate the Wizard into their data pipelines through APIs/SDKs, enabling automated data quality checks and improvements within their established data processing workflows.
The Wizard can integrate into scheduled runs or ongoing processing workflows, offering automation and regular data quality checks as part of a comprehensive data strategy.