Benchling’s cloud platform is used by pharmaceutical and biotech companies to analyze complex datasets, streamline research workflows, design DNA using CRISPR gene-editing technology and more.
$0
per month
Pricing
Benchling
Editions & Modules
Academic
$0
Professional
Contact Benchling for price
Enterprise
Contact Benchling for price
Offerings
Pricing Offerings
Benchling
Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
No
Entry-level Setup Fee
No setup fee
Additional Details
—
More Pricing Information
Community Pulse
Benchling
Considered Both Products
Benchling
Verified User
Engineer
Chose Benchling
Benchling was much more of a full stack solution and provide much more features that were relevant to the group. Airtable was more of a generic way to manage large amounts of data, but the complexity was still high for the types of data that would be need to be managed and …
Benchling is especially well suited to groups or contexts where there are many users who do not have a coding background but need a seamless and structured approach to data. Benchling is particularly useful in cases where there are data flows from instruments and other devices where the data can be deposited in an automated fashion. It is likely less appropriate or useful to users who are just looking for a general data warehouse solution.
Some of the integrations can be a bit spotty so it depends on what kind of data source you are integrating
Sometimes new users are not always aware of all the various functionality that Benchling has - can do better to provide more user awareness of more complex features
Benchling was much more of a full stack solution and provide much more features that were relevant to the group. Airtable was more of a generic way to manage large amounts of data, but the complexity was still high for the types of data that would be need to be managed and there would need to be some workarounds. Overall Benchling was selected since it also had an electronic lab notebook feature which was very useful to associates in addition to its data workflows.
It had a positive ROI in terms of reducing the amount of time spent on data movement and curation by associates
It had a positive ROI in terms of increasing the number of insights from structured data
It reduced the number of data entry and analysis errors by associates which led to a positive ROI in terms of efficiency and reducing time wasted by tracking down errors in data
