ZincSearch, a full-text search engine platform, announced a US $3.6 million seed funding round on May 20, 2022, led by Nexus Venture Partners, with participation from Dell Technologies Capital, , Cardinia Ventures, Secure Octane and technology leaders including Anand Babu Periasamy, Balaji Parimi, Rob Skillington, Anshu Sharma, Luke Kim, Awais Nemat, Dan Pinto, and Alex Gallegos.
Abhishek Sharma, managing director of Nexus Venture Partners, will also join the ZincSearch Board of Directors.
What the founder has to say:
Prabhat Sharma, founder, ZincSearch:
“Almost every organization I’ve spoken with has complained to me about the complexity and cost of their log storage. With the ELK stack on the one hand and pricey hosted solutions (the majority of which use Elasticsearch), we required a modern, easy-to-use, and cost-effective solution that solved the problem elegantly. ZincSearch is a new search platform that solves the problem of log search and analytics.”
What the investors have to say:
Abhishek Sharma, MD, Nexus Venture Partners:
“Data volumes generated by machines are exploding. Current log search methods are being criticized for being overly complex and bulky. Their cost does not reflect the value they provide. Developers require a robust log search solution that is simple to set up, has a quick time to value, is cost-effective, and is scalable. ZincSearch, we feel, has the potential to be a game-changer here.”
About the company:
ZincSearch was founded by Prabhat Sharma, a former AWS solutions architect, after noticing that major enterprise customers were having substantial cost and maintainability issues searching and managing their data.
Zinc began as an open source project on GitHub and has grown to over 7,900 stars, making it one of the fastest-growing open-source enterprise projects in the previous 12 months.
Zinc is based on the idea that setting up and running a search engine should not take up a lot of time. It is built on the modern technology stack of Go and VueJS, which allows for quick development and iteration, as well as easy operations and low resource consumption for users.
IT teams commonly use search engines to index gigabytes, terabytes, or even petabytes of logs and look for faults or flaws that affect programs. Unfortunately, due to rising storage costs – disk-based storage in a cluster typically costs ten times more than S3-based storage due to replication requirements – and the inefficiency of search engines, teams increasingly have to compromise on the number of logs they can store, resulting in incomplete data sets. For distributed search, Zinc provides object storage as the primary storage option.
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