Press
Press
For TigerGraph Press Releases, click HERE.
TigerGraph is named one of the 22 companies that are worth watching in 2018 by DBTA.
Read the full article here.
Back to the future: Does graph database success hang on query language?
If the history of relational databases is any indication, what is going on in graph databases right now may be history in the making.
TigerGraph on its part recently announced version 2.0, which it says comes with performance improvements. But what is maybe most noteworthy is what TigerGraph says is a unique feature that enables multiple users to work on the same graph simultaneously.
This is called MultiGraph and is meant to give organizations control over which parts of a graph or graphs users can access while maintaining security and data integrity.
Read the full article here.
China Tech Investing In U.S. Slows And Refocuses In Rough Currents
Last year, Baidu bought Kitt.ai in Seattle, and invested some an estimated $40 million in three machine learning and data companies: Silicon Valley-based data link analytics entrant TigerGraph, big data application Tiger Computing Solutions, and computer vision startup xPerception.
Read the full article here.
TigerGraph 2.0 Amps Up Graph Analytics
The world’s swiftest graph analytics platform for the enterprise, TigerGraph, has just introduced TigerGraph 2.0. This latest program will provide businesses with the fastest and most scalable graph analytics to date. The new platform offers a Multiple Graph feature, which is the first of its kind, and better-distributed system performance and security.
Read the full article here.
DATAVERSITY: TigerGraph 2.0 Helps Enterprises Roar with the Fastest, Most Scalable Graph Analytics
A new press release reports, “TigerGraph, the world’s fastest graph analytics platform for the enterprise, today introduced TigerGraph 2.0 to empower enterprises with the fastest and most scalable graph analytics. TigerGraph 2.0 offers real time MultiGraph collaboration services – an industry first that supports upcoming GDPR requirements, along with enhancements in distributed system performance and security…”
Read the full article here.
TigerGraph Serves Collaboration and Security with Multi-Graph
The capability to share data insights with other people or departments is instrumental to collaboration, and yet it’s also the source of real security concerns in today’s dangerous world. Graph database startup TigerGraph addressed that conflict today by introducing a new multi-graph function in the second major release of its flagship product.
Read the full article here.
TigerGraph adds multiple views, calling it a graph database first
Graph database startup TigerGraph Inc. is coming out with version 2.0 of its platform today, offering what it says is a unique feature that enables multiple users to work on the same graph simultaneously.
Graph databases are a type of NoSQL database that represent data as objects rather than in rows and columns. Connections can be traversed quickly to find relationships that would require multiple resource-consuming joins using relational technology.
Read the full article here.
TigerGraph 2.0 Introduces Real-Time MultiGraph Collaboration Service
TigerGraph, which provides a graph analytics platform for the enterprise, has announced TigerGraph 2.0 which introduces real time MultiGraph collaboration.
TigerGraph 2.0’s graph analytics collaboration service is significant, the company says, because it allows multiple groups to share one master database for access to real-time updates and collaboration. Local control and security features help enterprises meet compliance regulations.
Read the full article here.
TigerGraph emerges from undergrowth with 2.0 release in its jaws
Move over, doggy. 2018 is ‘the year of the graph’ apparently.
TigerGraph was founded in 2012 but only came out of stealth in September. Today it is launching its 2.0 platform, which it says offers more collaboration, and faster performance, than other graph databases.
Read the full article here.
Graph Databases Burst into the Mainstream
Whether for Customer Analytics, Fraud Detection, Risk Assessment or another real-world challenge, the ability to quickly and efficiently explore, discover and predict complex relationships is a huge competitive differentiator for businesses today.
This elemental pain point – the need for real-time analytics for enterprises with enormous volumes of data – is fueling graph databases’ emergence as a mainstream technology being embraced by companies across a broad range of industries and sectors.
Read the full article here.
