Websites using Dadata

Okay, let s break down DaData, a popular data enrichment and validation service, covering its overview, revenue (where publicly available), alternatives, pricing, and customer care.

Overview of DaData

DaData, also known as Dadata API or simply Dadata, is a Russian-based service (though it has international reach) that focuses on data cleansing, standardization, and enrichment. It provides APIs that help businesses improve the accuracy, completeness, and consistency of their data. This is crucial for various business functions like:

• Address Verification & Standardization: Validating, standardizing, and geocoding addresses to ensure correct delivery and reporting.
• Name Parsing & Standardization: Handling different forms of names, identifying gender, and standardizing names for consistent records.
• Phone Number Validation & Normalization: Verifying phone number formats, identifying regions, and standardizing them for use.
• Organization Information Retrieval: Finding up-to-date details about companies, including their legal names, addresses, registration information, and financials (where available).
• Passport & ID Verification: Verifying Russian passports (and some other ID formats), crucial for compliance and risk management.
• Email Validation: Ensuring email addresses are valid and deliverable.

Key Features:

• Real-time API: Allows for data processing on the fly.
• Batch Processing: Supports processing large volumes of data in bulk.
• Extensive Data Coverage: Primarily strong in Russia and CIS countries, with expanding coverage internationally.
• Multiple Integrations: Works with various programming languages and frameworks.
• Scalability: Designed to handle increasing data loads.
• User-Friendly Interface: Provides tools for data exploration and API management.

Revenue Information

Unfortunately, DaData s exact revenue figures are not publicly available. As a privately held company, they do not disclose their financial information. It s important to keep this in mind when comparing them to other providers, some of which might be publicly traded and release their financial results.

Alternatives to DaData

There are several alternatives to DaData, depending on your specific needs and geographical focus. Here are some prominent ones:

• For Address Verification & Enrichment:
  • Google Address Validation API: Global coverage, but can be costly for high-volume usage.
  • SmartyStreets: Focuses on US addresses with strong USPS data integration.
  • Melissa: Offers a wide range of data quality solutions, including address, phone, and email validation, with global reach.
  • Loqate: Provides address verification with a focus on accuracy and global coverage.
  • AddressFinder (Now part of Esri): Geocoding and address validation solutions, strong in geographic analysis.
• For Name Parsing & Standardization:
  • NameParser (Python Library): A useful tool if you prefer a self-hosted solution.
  • OpenRefine: A powerful open-source tool for data cleaning and transformation, including name handling.
• For Phone Number Validation & Normalization:
  • Twilio Lookup API: Global phone number validation, carrier lookup, and more.
  • Numverify: Offers phone number validation services with wide global coverage.
• For Organization Information:
  • Clearbit: Powerful company data platform that provides rich firmographic data.
  • ZoomInfo: Focuses on B2B contact and company data.
  • Dun & Bradstreet: Global database of business information.

Factors to Consider When Choosing an Alternative:

• Geographic Coverage: Where is the primary focus of your data?
• Data Accuracy: How important is the quality and up-to-dateness of data?
• Specific Features: Do you need address standardization only, or other services like name or phone validation?
• Integration Options: How well does the service integrate with your existing systems?
• Pricing: How does pricing scale with your usage?
• Customer Support: Is their customer service and documentation adequate?

Pricing Details

DaData uses a credit-based pricing model. Here are some of the key aspects:

• Free Tier: DaData offers a free tier with a limited amount of credits per month, which allows users to test and experiment.
• Pay-as-you-go: You purchase credits and use them as you need.
• Subscription Plans: They also offer subscription-based plans with discounted credit rates for higher volume users.
• Credit Consumption: Different features or API calls consume different amounts of credits. For example, address validation might cost more credits than basic phone formatting.
• Cost Varies by Country/Feature: The cost per credit may vary based on the features you are using and the region of data you are requesting.

It is highly recommended to consult DaData s pricing page directly for the most up-to-date and detailed pricing information, as it may change. Pay close attention to the credit consumption for each feature and estimate your monthly usage before choosing a pricing plan.

Customer Care Details

• Documentation: DaData offers comprehensive online documentation, including API references, guides, and FAQs.
• Email Support: They provide email support for technical questions and issues.
• Community Forum: A community forum is available for discussions, questions, and sharing knowledge.
• Support Response Times: DaData aims to respond to support inquiries in a timely fashion, but their response time may vary.

Key Things to Remember About DaData s Customer Care:

• Language: While they do have an English version, it is important to be aware that they primarily focus on the Russian language market, and that support in English may be limited in availability or scope.
• Availability: Their customer support is likely to operate on Russian business hours, which might be a factor if your business is in another part of the world.
• Direct Contact: The primary method of communication is via email and the community forum, as they do not typically have phone support available.

In Conclusion

DaData is a powerful tool for businesses needing data cleaning, standardization, and enrichment, particularly for Russia and CIS-related data. While their revenue is not publicly known, their credit-based pricing model provides flexibility. When choosing a data service, compare DaData against its alternatives, paying close attention to geographical coverage, features, pricing, and the level of customer care that you require. Remember to test their free tier before committing to a paid plan.