What is TigerGraph DB?
It is the only scalable graph database for the enterprise which is based on the industry’s first Native and Parallel Graph technology.
It unleashes the power of interconnected data, offering organizations deeper insights and better outcomes.
It’s proven technology supports applications such as IoT, AI and machine learning to make sense of ever-changing big data.
TigerGraph DB is a tool in the Graph Database as a Service category of a tech stack.
Who uses TigerGraph DB?
Developers
24 developers on StackShare have stated that they use TigerGraph DB.
TigerGraph DB's Features
- SCALABILITY FOR MASSIVE DATASETS
- DEEP-LINK MULTI-HOP ANALYTICS
- REAL-TIME PERFORMANCE
- ENTERPRISE-GRADE SECURITY
- MASSIVELY PARALLEL PROCESSING
- ULTRA-FAST LOADING AND UPDATES
- GRAPH STUDIO
- GRAPH CLOUD OFFERING
- MULTIGRAPH
- GSQL
TigerGraph DB Alternatives & Comparisons
What are some alternatives to TigerGraph DB?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
