TigerGraph

TigerGraph is a distributed, parallel graph DBMS with high availability designed for real-time analytical workloads.

History

The company was founded in 2012 by Yu Xu.

Checkpoints

Fuzzy

TigerGraph uses fuzzy checkpoints. TigerGraph can be backed up while it continues to serve user traffic (called “online” backup).

Compression

Dictionary Encoding

TigerGraph compresses data in different ways, including dictionary based, snappy, variable byte compression etc. TigerGraph also supports attribute compression. Depending the operation, TigerGraph may not need data decompression before processing.

Concurrency Control

Multi-version Concurrency Control (MVCC) Two-Phase Locking (Deadlock Prevention)

TigerGraph uses both MVCC and 2PC (Deadlock prevention).

Data Model

Graph

TigerGraph uses property graph, where where data is organized as nodes (vertices), relationships (edges), and properties (their attributes).

Foreign Keys

Supported

In graph model, vertex serves as the primary key as in RDBMS, while edge serves as the foreign key.

Isolation Levels

Serializable

All transactions execute with the serializable isolation level by default.

Joins

Not Supported

As a graph database, TigerGraph has materialized the relationships between data as edges so there is no joining required. Graph analytics focus mainly on how to traverse along the edges.

Logging

Physiological Logging

TigerGraph uses MVCC snapshots and WAL (Write-Ahead Logging).

Query Compilation

Code Generation

TigerGraph supports code generation and the query runs as native application.

Query Execution

Materialized Model

TigerGraph’s MPP architecture supports multiple partitions and multiple processors, allowing IO-parallelism, intra-partitions parallelism and inter-partition parallelism.

Query Interface

Custom API HTTP / REST

TigerGraph has its own query language GSQL, a SQL-like graph query language. TigerGraph also supports RESTful API to query and update the graph.

Storage Architecture

In-Memory

In-memory DBMS. TigerGraph also supports larger-than-memory databases under certain circumstances (e.g., when partial or most topology data are on disk).

Storage Model

N-ary Storage Model (Row/Record)

NSM and delta-store.

Storage Organization

Log-structured

TigerGraph uses customized log-structured files (WAL + LSM). Its storage system consists of authorization manager, transaction manager, memory manager and file manager.

Stored Procedures

Supported

TigerGraph's GSQL is a procedure-like language. It allows query with updates, and query calling query.

System Architecture

Shared-Nothing

TigerGraph is a shared-nothing DBMS.

Views

Not Supported

No view support for now.

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TigerGraph Logo
Website

https://www.tigergraph.com

Source Code

https://www.tigergraph.com/documentation/

Developer

TigerGraph

Country of Origin

US

Start Year

2012

Project Type

Commercial

Written in

C++

Operating Systems

Linux

Licenses

Proprietary

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