5 Open Source Alternatives to TigerGraph

A list of 5 carefully selected open-source alternatives to TigerGraph.

Adrian
Created by
Adrian
Mar 9, 2025Updated6 min read

The open-source alternatives are ranked based on our custom ranking system and score. This system takes into account various factors to determine the best alternatives.

If you’re looking for alternative features or workflows, here is a prepared detailed list of TigerGraph open-source alternatives — each with its own distinctive strengths and key features.

#1
Memgraph logo

Memgraph

2,687
138

Memgraph is an open-source graph database engineered for dynamic analytics environments. It delivers high-performance real-time data processing with an easy-to-adopt platform that scales to meet enterprise demands.

Memgraph screenshot

Key Features

  • High-performance in-memory storage engine
  • Real-time analytics with over 1,000 transactions per second
  • Flexible deployment options: Community, Enterprise, and Cloud editions
  • Built-in support for data streaming and vector search
  • Transparent and scalable pricing model with support included

Memgraph powers real-time analytics with an in-memory storage engine optimized for high-velocity environments handling thousands of transactions per second. Supporting data streaming, vector search, and advanced graph computations, it offers a versatile platform catering to community developers and enterprise users alike. With straightforward installation, direct support channels, and scalable architecture, Memgraph seamlessly integrates into modern data infrastructures.

#2
Dgraph logo

Dgraph

20,696
1,503

Dgraph is a high-performance, open source graph database tailored for real-time applications. It supports both GraphQL and its native query language DQL, empowering developers to build scalable, complex data solutions with ease and flexibility.

Dgraph screenshot

Key Features

  • High-performance distributed architecture with low latency
  • Supports both GraphQL and DQL for flexible querying
  • Horizontally scalable with synchronous replication
  • Multiple deployment options (Cloud, Dedicated, Enterprise)
  • Robust security measures and real-time monitoring
  • Strong community support and open source foundation

Dgraph is a distributed graph database engineered for low latency and high throughput. It offers a native GraphQL API alongside a powerful DQL for handling complex query patterns, making it ideal for modern applications like customer 360, recommendation engines, and fraud detection. With seamless scale-out architecture, synchronous replication, and various deployment options—from cloud-based to on-premise—Dgraph provides the flexibility and performance needed for both prototyping and enterprise-grade solutions.

#3
TerminusDb logo

TerminusDb

2,878
114

TerminusDB is an innovative, open-source document graph database designed for collaboration and distributed data management. It leverages Git-like features for data versioning, enabling developers to branch, merge, and track changes with ease while supporting flexible schema design and powerful APIs.

TerminusDb screenshot

Key Features

  • Open-source document graph database with multi-model support
  • Git-like collaboration features: branch, diff, merge, and audit logs
  • Low memory overhead via succinct data structures and delta encoding
  • Flexible schema design with JSON-based syntax and migration tools
  • API-first approach with REST, GraphQL, Python, and JavaScript clients
  • Distributed design enabling offline work and cloud synchronization

TerminusDB serves as a multi-model graph database and document store that provides a suite of collaborative tools for building complex, relationship-aware applications. It combines lightweight storage with robust version control functionalities, including branch, diff, and merge operations, to streamline data and content collaboration. Designed for both local and distributed environments, it supports modern API integrations and flexible schema design to evolve with developer needs.

#4
ArangoDB logo

ArangoDB

13,716
844

ArangoDB is a native multi-model database that empowers developers to manage documents, graphs, and key-values seamlessly. It offers a flexible development experience with a SQL-like query language (AQL) and JavaScript extensions for high-performance applications.

ArangoDB screenshot

Key Features

  • Native support for documents, graphs, key-values, geospatial, and full-text search
  • Unified query language (AQL) for flexible and efficient data operations
  • Versatile deployment on cloud, on-premises, Docker, and Kubernetes
  • High performance and scalability suited for GenAI and modern applications
  • Trusted by global brands for robust data management and analytics

ArangoDB integrates multiple data models within a single engine, simplifying the complexity of combining search, document, and graph operations. Its unified query language, AQL, supports diverse query patterns while the platform provides versatile deployment options across cloud, on-prem, and Kubernetes environments. This makes it an ideal solution for fast-paced and data-driven projects.

#5
Neo4j logo

Neo4j

13,928
2,420

Neo4j is a powerful native graph database platform that revolutionizes how organizations manage and interpret connected data. It enables developers, data scientists, and enterprises to quickly map real-world relationships and uncover hidden insights with ease.

Key Features

  • Native graph processing with ACID transactions
  • Expressive Cypher query language for intuitive querying
  • Flexible schema design that mirrors real-world relationships
  • Multiple deployment options (self-managed, AuraDB free, Professional, Business Critical)
  • Enterprise-grade security and scalability
  • Seamless integration with AWS, Azure, and Google Cloud

Neo4j provides an intuitive and scalable solution for storing and querying complex networked data. Its native graph processing, ACID transactions, and the expressive Cypher query language simplify discovering hidden patterns. With flexible deployment options – including self-managed and fully-managed solutions – Neo4j caters to projects of all sizes, backed by robust security, high performance, and seamless integration with cloud providers.

Price comparison of TigerGraph open-source alternatives

ToolTier 1Tier 2Tier 3Details
Memgraph logo
Memgraph
$25000
Enterprise Edition
--Learn more
Dgraph logo
Dgraph
$39.99
Shared
$89
Dedicated
-
Enterprise
Learn more
Neo4j logo
Neo4j
$0
AuraDB Free
$65
AuraDB Professional
$146
AuraDB Business Critical
Learn more

* Pricing shown is based on publicly available information and may not reflect current rates. Visit each tool's website for detailed pricing information and additional tiers.

About TigerGraph

TigerGraph is a leading brand that offers the fastest and most scalable graph database for enterprises. With their graph analytics platform, they empower businesses to unleash the power and speed of graph analytics to gain valuable insights. TigerGraph provides a comprehensive range of products and services to meet various needs. Their offerings include TigerGraph Cloud Suite, which allows users to easily access and utilize their graph database in a distributed manner. They also offer user-friendly tools like GraphStudio, Insights Application Workbenches, and Connectors and Drivers, ensuring a seamless user experience. With TigerGraph's graph data science library and machine learning workbench solutions, businesses can harness the power of graph technology for customer journey analysis, product marketing, fraud detection, anti-money laundering, risk monitoring, and more. Their solutions cater to industries such as advertising, media, entertainment, financial services, healthcare, and life sciences. TigerGraph has a strong track record of serving notable customers like Ford, Intuit, and JPMorgan Chase, who have benefited from their exceptional graph platform. Through partnerships with organizations offering complementary technology solutions and services, TigerGraph continues to enhance their offerings and deliver value to their customers. With a commitment to support openCypher in GSQL and a focus on enterprise customers, TigerGraph has gained recognition from industry experts and analysts, positioning themselves as a leader in the market. By joining TigerGraph, businesses can drive competitive advantage, unlock the potential of advanced analytics and machine learning, and make data-driven decisions for their success.
This comparison data was compiled with AI assistance.
TigerGraph logo

TigerGraph

TigerGraph is a platform that provides a graph for enterprise applications.

Founded

2012

Employees

201

Location

Redwood City, United States

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