TigerGraph Offers Graph Database
June 13, 2018
released a free Developer Edition of its graph analytics platform
for lifetime non-commercial use. Users can experience firsthand
TigerGraph’s superiority in scalability, performance and ease-of-use
compared to other solutions - including Neo4j and Amazon Neptune.
“As graphs continue to go mainstream, the next phase of the graph
evolution has arrived. Cypher vs. Gremlin is no longer the right
question to ask,” said Dr. Yu Xu, founder and CEO of TigerGraph.
“The time has come to rethink graph analytics with TigerGraph and
GSQL, the most complete query language on the market. One hour with
our free Developer Edition is all you need to experience
TigerGraph’s superiority in unlocking value from connected data at
TigerGraph brings fast and scalable graph analytics platform to
developers to create their own big data graph applications -
including those that were previously impossible using earlier
generations of graph database technology.
enterprise graph MPP (massively parallel processing), to support big
data, complex business queries - all with GSQL, the modern graph
query language designed to be intuitive for people who already know
SQL. Experience key features of TigerGraph, which enable you to:
Write high-performance complex analytics queries using GSQL, the
Turing-complete, easy-to-use, SQL-like graph query language with
Continuously load over 100
GB per machine per hour.
Perform graph traversals of
3 to 10+ hops with subsecond results, across massive graphs with
trillions of vertices and edges, to support complex queries.
Experience the power of
parallelism in data loading, real-time updates and query processing.
“We developed TigerGraph based
on years of research and conversations with our customers to address
their most pressing needs - a scalable, high performance platform
for big data graphs,” said Xu. “The result is the most powerful
graph solution for supporting digital transformations initiatives -
from enterprise knowledge graphs, customer 360 graphs to Machine
Learning, AI and more.”
TigerGraph offers the world’s fastest graph analytics platform that
tackles the toughest data challenges in real time, no matter how
large or complex the data set. TigerGraph stores all data sources in
a single, unified multiple-graph store that can scale out and up to
easily and efficiently explore, discover and predict relationships.
Unlike traditional graph databases, TigerGraph can scale real-time
multi-hop queries to trillions of relationships.
TigerGraph’s free Developer Edition is available immediately, and
offers lifetime non-commercial use, with graph size limited only by
users’ machine capacities.
ultimately chose TigerGraph over Neo4j and other solutions as an
investment to power our future large-scale applications and to also
provide us with a solid foundation. TigerGraph’s data warehousing
speed and computational processing capacity are higher, improving
performance by an order of magnitude. We can obtain results faster
with TigerGraph in the case of complex real-time analysis. This
greatly improves our response speed to calculate credit scores for
anti-fraud.” - Lingyu Gu, CEO, Icekredit
“TigerGraph exceeded our expectations in importing hundreds of
gigabytes of data (in three hours) and only a minute or two to
update incremental data each day. The 2-hop neighborhood query is
all millisecond level, and the QPS of a single machine can reach
hundreds, fully meeting our expectations. TigerGraph also supports
HA and distributed systems, providing very reliable support for
system reliability and scalability. I only have good things to say
about the technical support team and its accessibility. TigerGraph
offers excellent performance, is easy to use, involves a short
development cycle and helps solve big data problems that traditional
tools cannot cope with.” - CRO, Cashbus
“We had problems with Neo4j in terms of speed in data loading. While
Neo4j took 24 hours, TigerGraph took only three hours. On the query
side, Neo4j timed out even on limited data, while TigerGraph
provides fast query performance. Performance-wise TigerGraph is
- VP of Data Science from a Top 5 Pharmaceutical Company