TigerGraph
{{Short description|American software company}}
{{Infobox company
| name = TigerGraph
| logo = TigerGraph_logo.png
| logo_size = 200
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| type = Private
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| industry = Analytics software
| predecessor = GraphSQL
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| founded = 2012
| founder = Yu Xu
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| hq_location = Redwood City, California
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| key_people = Rajeev Shrivastava, Chief Executive Officer
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| website = {{URL|https://www.tigergraph.com/}}
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TigerGraph is a private company headquartered in Redwood City, California. It provides graph database and graph analytics software.
History
TigerGraph was founded in 2012 by programmer Dr. Yu Xu under the name GraphSQL.{{cite web | last=Anadiotis | first=George | title=TigerGraph, a graph database born to roar | website=ZDNet | date=September 19, 2017 | url=https://www.zdnet.com/article/tigergraph-a-graph-database-born-to-roar/ | access-date=February 21, 2021}}
In September 2017, the company came out of stealth mode under the name TigerGraph with $33 million in funding. It raised an additional $32 million in funding in September 2019{{cite web | last=Wiggers | first=Kyle | title=TigerGraph raises $32 million for graph database tools | website=VentureBeat | date=September 25, 2019 | url=https://venturebeat.com/2019/09/25/tigergraph-raises-32-million-for-graph-database-tools/ | access-date=February 21, 2021}} and another $105 million in a series C round in February 2021.{{cite web | last=Anadiotis | first=George | title=Up and to the right: TigerGraph scores $105M Series C funding, the Graph market is growing | website=ZDNet | date=February 17, 2021 | url=https://www.zdnet.com/article/up-and-to-the-right-tigergraph-scores-105-million-series-c-funding-the-graph-market-is-growing/ | access-date=February 21, 2021}} Cumulative funding as of March 2021 is $170 million.{{cite web|url=https://techcrunch.com/2021/02/17/tigergraph-raises-105m-series-c-for-its-enterprise-graph-database/ |title=TigerGraph raises $105M Series C for its enterprise graph database |website=TechCrunch |date=February 17, 2021 |access-date=March 8, 2021}}
Products
TigerGraph's hybrid transactional/analytical processing database and analytics software can scale to hundreds of terabytes of data with trillions of edges, and is used for data intensive applications such as fraud detection, customer data analysis (customer 360), IoT, artificial intelligence and machine learning. It is available using the cloud computing delivery model.{{cite web |first=Chris|last=Preimesberger| title=TigerGraph Launches Graph Database-as-a-Service on Azure | website=eWEEK | date=July 16, 2020 | url=https://www.eweek.com/database/tigergraph-launches-graph-database-as-a-service-on-azure/ | access-date=February 21, 2021}} The analytics uses C++ based software and a parallel processing engine to process algorithms and queries. It has its own graph query language that is similar to SQL.Robert Thanaraj, Julian Sun, Eric Thoo, Ehtisham Zaidi, Eric Hunter (May 7, 2020). “Gartner Cool Vendors in Data Management," Gartner.”{{RP|9-10}} TigerGraph also provides a software development kit for creating graphs and visual representations.{{Cite web |title=Release Notes - TigerGraph Server |url=https://docs.tigergraph.com/tigergraph-server/current/release-notes/ |access-date=2024-03-16 |website=TigerGraph Documentation |language=en}}
As of Mar 2024, TigerGraph version is up to version 4.2.0
TigerGraph offers free Community Edition for developers, researchers, and educators. It can be obtained from https://dl.tigergraph.com/
Query Language
[https://github.com/tigergraph/ecosys/blob/master/tutorials/GSQL.md GSQL] is a SQL-like Turing complete query language designed by TigerGraph.{{cite book | last=Deutsch | first=Alin | title=Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data | chapter=Aggregation Support for Modern Graph Analytics in TigerGraph | date=Jun 14, 2020 | pages=377–392 | doi=10.1145/3318464.3386144 | isbn=9781450367356 | s2cid=218982146 | chapter-url=https://dl.acm.org/doi/pdf/10.1145/3318464.3386144 | access-date=Oct 11, 2021}}
See also
References
{{reflist|30em}}
External links
- [https://www.tigergraph.com/ Official website]
- [https://dl.acm.org/doi/abs/10.1145/3318464.3386144 TigerGraph Paper at SIGMOD Conference]