Coresignal vs Mixrank
Let's see how Coresignal compares to Mixrank using 22 different criteria. Coresignal can provide data for every use case – from small one-time projects to global data-driven platforms and research initiatives.
|  | |
|---|---|---|
| Company profiles | 110M+ | 45M+ |
| Multi-source company profiles | 36M+ | Unspecified |
| Employee profiles | 731M+ | 700M+ |
| Job postings | 495M+ | 1B+ |
| Consistent data structure | Yes | Unspecified |
| Data formats |
|
|
| Delivery methods |
|
|
| AI-enriched data | Unspecified | |
| In line with GDPR/CCPA | ||
| Dedicated managers | ||
| Documentation |
Data freshness
| | |
|---|---|---|
| Profile discovery | 18M+ new records discovered monthly | Unspecified |
| Delivery frequency |
|
|
| Monthly updates | 636M+ records checked for updates monthly |
|
| Data record qualification | Data is refreshed based on specific priorities related to the record's business value | Data is refreshed on demand |
API solutions
| | |
|---|---|---|
| Employee data API | ||
| Company data API | ||
| Jobs data API | Unspecified | |
| Free trial | Unspecified | |
| Starting price per month | $49/month | $1,000/month |
| Data change webhooks | Unspecified | |
| Elasticsearch | Unspecified |
The comparison provided herein is based on public data available as of Nov 19, 2024. All users should verify the current status of products, services, or offerings before relying on any comparative information.
Need more information?
Let's arrange a time for a quick call and discuss your use case.
Coresignal's data solutions
Dataset
Build innovative solutions using comprehensive company data or leverage it for in-depth analysis and unique business insights. Request a data sample or explore on your own using the self-service platform.
Database API
Search and enrich whenever needed with direct access to a large-scale database. After trying APIs with free credits, select from multiple subscription plans suitable for businesses of any size.
How to select a reliable data provider?
Coverage and freshness
The number of data records and locations represent the technical capabilities of the data vendor. However, data freshness is just as important. Refreshing data in a systematic way that brings the most value to the clients requires and experienced team that can develop the necessary infrastructure and processes.
Communication
A reliable data provider will give you all the relevant information about data quality, fill rates, data structure, and features mentioned above before and after you purchase. At Coresignal, clients are supported by dedicated account managers and get prompt technical support.
Resources for testing
It's essential to test and see if the data you’re getting from the provider meets your business needs and expectations. We encourage you to share what information is needed to properly evaluate our datasets or APIs.
Frequently asked questions
The top Mixrank competitors are Coresignal, Bright Data, and People Data Labs.
While each data provider has unique capabilities, Coresignal stands out due to its multi-source company dataset with 300+ unique enriched data points and data freshness.
Mixrank generally has fewer company profiles and more job postings than its alternatives. Bright Data has a large company database but the smallest employee dataset, while People Data Labs has the most extensive employee dataset but a smaller company profile database compared to competitors.
If you can't decide between Coresignal and Mixrank, consider the following: Coresignal offers more employee and company data records and a multi-source company dataset that includes comprehensive enterprise profiles. If you need job posting data, Mixrank could be a better option since it has a larger dataset.
A free trial is the easiest way to understand which provider is better for you, and Coresignal allows you to review 400 records and download 200 profiles free of charge – you can start a 14-day trial using a self-service platform, no credit card required. Unfortunately, Mixrank does not provide the option to review the data before purchasing.
Generally, datasets might be a better option for large-scale analysis or AI training that benefits from historical data, while data APIs would be used for building applications that make use of fresh data.
However, if you want to compare datasets and data APIs, you’ll need to begin with your use case and your technical requirements. Only after clarifying the project scope you can define which will option is the best match.
For instance, if you want to analyze all investments in the US made over the past 5 years and train an algorithm to identify promising industries, you might want to get full dataset. If you need to keep track of a particular industry and get real-time updates about every investment made that week or day, you might need to set up a data API.
Datasets usually tend to hold more information, which result in a larger financial investment. However, even though APIs are usually cheaper, setting them up might require some technical expertise.
Before you strike the deal, make sure to consider every aspect of each option. To learn more about datasets vs data APIs, check out our blog post.