TigerGraph

Last updated
TigerGraph
TypePrivate
IndustryAnalytics software
PredecessorGraphSQL
Founded2012
FounderYu Xu
HeadquartersRedwood City, California
Key people
Mingxi Wu, Chief Executive Officer
Website www.tigergraph.com

TigerGraph is a private company headquartered in Redwood City, California. It provides graph database and graph analytics software.

Contents

History

TigerGraph was founded in 2012 by programmer Dr. Yu Xu under the name GraphSQL. [1]

In September 2017, the company came out of stealth mode under the name TigerGraph with $33 million in funding. [1] It raised an additional $32 million in funding in September 2019 [2] and another $105 million in a series C round in February 2021. [3] Cumulative funding as of March 2021 is $170 million. [4]

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. [1] [4] It is available using the cloud computing delivery model. [5] The analytics uses C++ based software and a parallel processing engine to process algorithms and queries. [1] It has its own graph query language that is similar to SQL. [1] [2] [6] :9–10 TigerGraph also provides a software development kit for creating graphs and visual representations. [1] [7]

As of Nov 2023, TigerGraph version is up to version 3.9.3. [7]

Reception

A 2018 review of TigerGraph 2.2 in Infoworld gave the product 4.5 out of 5 stars. [8]

Query Language

GSQL is a SQL-like Turing complete query language designed by TigerGraph. [9]

See also

Related Research Articles

<span class="mw-page-title-main">IBM Db2</span> Relational model database server

Db2 is a family of data management products, including database servers, developed by IBM. It initially supported the relational model, but was extended to support object–relational features and non-relational structures like JSON and XML. The brand name was originally styled as DB/2, then DB2 until 2017 and finally changed to its present form.

In computer programming contexts, a data cube is a multi-dimensional ("n-D") array of values. Typically, the term data cube is applied in contexts where these arrays are massively larger than the hosting computer's main memory; examples include multi-terabyte/petabyte data warehouses and time series of image data.

<span class="mw-page-title-main">MonetDB</span> Open source column-oriented relational database management system

MonetDB is an open-source column-oriented relational database management system (RDBMS) originally developed at the Centrum Wiskunde & Informatica (CWI) in the Netherlands. It is designed to provide high performance on complex queries against large databases, such as combining tables with hundreds of columns and millions of rows. MonetDB has been applied in high-performance applications for online analytical processing, data mining, geographic information system (GIS), Resource Description Framework (RDF), text retrieval and sequence alignment processing.

MarkLogic is an American software business that develops and provides an enterprise NoSQL database, also named MarkLogic. It has offices in the United States, Europe, Asia, and Australia.

<span class="mw-page-title-main">Greenplum</span>

Greenplum is a big data technology based on MPP architecture and the Postgres open source database technology. The technology was created by a company of the same name headquartered in San Mateo, California around 2005. Greenplum was acquired by EMC Corporation in July 2010.

A graph database (GDB) is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. A key concept of the system is the graph. The graph relates the data items in the store to a collection of nodes and edges, the edges representing the relationships between the nodes. The relationships allow data in the store to be linked together directly and, in many cases, retrieved with one operation. Graph databases hold the relationships between data as a priority. Querying relationships is fast because they are perpetually stored in the database. Relationships can be intuitively visualized using graph databases, making them useful for heavily inter-connected data.

<span class="mw-page-title-main">SingleStore</span>

SingleStore is a proprietary, cloud-native database designed for data-intensive applications. A distributed, relational, SQL database management system (RDBMS) that features ANSI SQL support, it is known for speed in data ingest, transaction processing, and query processing.

DataStax, Inc. is a real-time data company based in Santa Clara, California. Its product Astra DB is a cloud database-as-a-service based on Apache Cassandra. DataStax also offers DataStax Enterprise (DSE), an on-premises database built on Apache Cassandra, and Astra Streaming, a messaging and event streaming cloud service based on Apache Pulsar. As of June 2022, the company has roughly 800 customers distributed in over 50 countries.

RainStor was a software company that developed a database management system of the same name, designed to manage and analyze big data for large enterprises. It used de-duplication techniques to organize the process of storing excessive amounts of data for reference. The company originated as a project by the United Kingdom's Ministry of Defence to store volumes of data from years of field operations for ongoing analysis and training purposes.

<span class="mw-page-title-main">SAP HANA</span> Database management system by SAP

SAP HANA is an in-memory, column-oriented, relational database management system developed and marketed by SAP SE. Its primary function as the software running a database server is to store and retrieve data as requested by the applications. In addition, it performs advanced analytics and includes extract, transform, load (ETL) capabilities as well as an application server.

Sisense is a business intelligence software company headquartered in New York City. It also has offices in San Francisco, Scottsdale and elsewhere.

<span class="mw-page-title-main">Databricks</span> American enterprise software company

Databricks, Inc. is an American enterprise software company founded by the creators of Apache Spark. Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks. The company develops Delta Lake, an open-source project to bring reliability to data lakes for machine learning and other data science use cases.

Kinetica is a distributed, memory-first OLAP database developed by Kinetica DB, Inc. Kinetica is designed to use GPUs and modern vector processors to improve performance on complex queries across large volumes of real-time data. Kinetica is well suited for analytics on streaming geospatial and temporal data.

Looker Data Sciences, Inc. is an American computer software company headquartered in Santa Cruz, California. It was acquired by Google in 2019 and is now part of the Google Cloud Platform. Looker markets a data exploration and discovery business intelligence platform.

Imply Data, Inc. is an American software company. It develops and provides commercial support for the open-source Apache Druid, a real-time database designed to power analytics applications.

<span class="mw-page-title-main">Grafana</span> Platform for data analytics and monitoring

Grafana is a multi-platform open source analytics and interactive visualization web application. It provides charts, graphs, and alerts for the web when connected to supported data sources.

GQL is a proposed standard graph query language. In September 2019 a proposal for a project to create a new standard graph query language was approved by a vote of national standards bodies which are members of ISO/IEC Joint Technical Committee 1(ISO/IEC JTC 1). JTC 1 is responsible for international Information Technology standards. GQL is intended to be a declarative database query language, like SQL.

Azure Data Explorer is a fully-managed big data analytics cloud platform and data-exploration service, developed by Microsoft, that ingests structured, semi-structured and unstructured data. The service then stores this data and answers analytic ad hoc queries on it with seconds of latency. It is a full text indexing and retrieval database, including time series analysis capabilities and regular expression evaluation and text parsing.

<span class="mw-page-title-main">Alation</span> American software company

Alation is a venture-backed, B2B enterprise software company based in Silicon Valley. Its solutions are focused on data catalog, analytics, and data management.

<span class="mw-page-title-main">YugabyteDB</span> Transactional distributed SQL database

YugabyteDB is a high-performance transactional distributed SQL database for cloud-native applications, developed by Yugabyte.

References

  1. 1 2 3 4 5 6 Anadiotis, George (September 19, 2017). "TigerGraph, a graph database born to roar". ZDNet. Retrieved February 21, 2021.
  2. 1 2 Wiggers, Kyle (September 25, 2019). "TigerGraph raises $32 million for graph database tools". VentureBeat. Retrieved February 21, 2021.
  3. Anadiotis, George (February 17, 2021). "Up and to the right: TigerGraph scores $105M Series C funding, the Graph market is growing". ZDNet. Retrieved February 21, 2021.
  4. 1 2 "TigerGraph raises $105M Series C for its enterprise graph database". TechCrunch. February 17, 2021. Retrieved March 8, 2021.
  5. Preimesberger, Chris (July 16, 2020). "TigerGraph Launches Graph Database-as-a-Service on Azure". eWEEK. Retrieved February 21, 2021.
  6. Robert Thanaraj, Julian Sun, Eric Thoo, Ehtisham Zaidi, Eric Hunter (May 7, 2020). “Gartner Cool Vendors in Data Management," Gartner.”
  7. 1 2 "Release Notes - TigerGraph Server". TigerGraph Documentation. Retrieved 2023-11-04.
  8. Heller, Martin (December 17, 2018). "TigerGraph review: A graph database designed for deep analytics". InfoWorld. Retrieved April 5, 2021.
  9. Deutsch, Alin (Jun 14, 2020). "Aggregation Support for Modern Graph Analytics in TigerGraph". Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. pp. 377–392. doi:10.1145/3318464.3386144. ISBN   9781450367356. S2CID   218982146 . Retrieved Oct 11, 2021.