NebulaGraph

NebulaGraph is a distributed graph database for teams working with complex, highly connected data. It suits developers and organizations that need self-hosted or cloud deployment, graph algorithms, and vector search in one platform. The free edition is a sensible starting point, while production cloud users must choose carefully between Standard’s single-node limits and Professional’s high-availability design.

Overview

NebulaGraph is built for graph workloads that demand scale and fast responses, with the company describing millisecond querying and support for graphs containing trillions of vertices and edges. That makes it relevant to recommendation engines, social networks, fraud detection, cybersecurity, network analysis, knowledge graphs, and supply-chain systems. The claimed scale is compelling for large relationship-heavy datasets, but the practical ceiling depends on the edition and deployment architecture you select.

Query support covers nGQL and compatibility with openCypher. Native ISO-GQL arrives in Enterprise v5.0, so organizations standardizing on that language need the custom-priced Enterprise edition. Native vector search is included in NebulaGraph Database, combining graph relationships with unstructured data for AI-oriented data fusion rather than forcing separate graph and vector systems.

Key features

Graph algorithms are supported, and official clients for Java, Python, C++, and Go give application teams several integration paths. Spark and Flink connectors connect graph processing with established data-engineering pipelines. NebulaGraph Studio is a web tool for defining schemas, importing data, writing nGQL queries, and exploring graph structures; it is particularly useful for teams that need a visual companion to database administration and investigation.

Deployment is unusually broad. NebulaGraph can run on premises, in public clouds, or in hybrid environments, including macOS and Windows setups. NebulaGraph Cloud provisions clusters on Microsoft Azure, AWS, and Google Cloud Platform. Cloud customers also get Private Link for private network access and role-based permissions for graph spaces. Raft-based redundant backups across server rooms in the same city, snapshots for point-in-time restoration, and automatic replacement of failed instances address operational resilience, although the level of availability still depends on the plan.

Pricing

The Open-source Edition costs free. It provides a subset of core features, community collaboration and support, and an Apache 2.0 license. This is the best fit for self-managed projects that can accept community-led support and do not require the complete commercial feature set.

NebulaGraph Cloud offers a 14-day trial without payment information. The trial includes one database instance with 2 vCPUs, 4 GB of RAM, and 10 GB of storage, making it useful for evaluation but too small to represent a large production graph. The included storage figure is 10 GB.

Cloud Standard costs $0.05 per contact, billed pay-as-you-go. A single node can use up to 8 vCPUs, 64 GB of RAM, and 320 GB of storage. Private endpoint and IP allow-list controls are included, but there is no high availability. It suits smaller or non-critical deployments where a single-node design is acceptable.

Cloud Professional also costs $0.05 per contact, billed pay-as-you-go. It supports up to 10 query nodes and 10 storage nodes, adds high availability, and includes private endpoint and IP allow-list controls. Technical support has a faster response time than Standard, making this the more appropriate cloud tier for operationally important services.

Enterprise Edition uses custom pricing and adds enhanced performance, enterprise-grade stability and security, premium support, and native ISO-GQL support in version 5.0. Buyers should choose it when those requirements outweigh the simplicity of the open-source edition or standard cloud tier.

Platforms

NebulaGraph is available through API, Linux, macOS, self-hosted deployments, web tools, and Windows. That combination supports local development, controlled infrastructure, and managed cloud operation without tying every team to one operating system or hosting model.

Who it's for

NebulaGraph is a strong candidate for engineering teams building graph-centric products, especially recommendation, fraud, cybersecurity, knowledge-graph, network-analysis, and supply-chain applications. It is also well suited to organizations that need to combine connected data with vector search or move between on-premises, public-cloud, and hybrid deployment.

It is less suitable when ACID transactions are a core requirement: NebulaGraph does not provide them. Teams needing guaranteed transactional behavior should evaluate a different database before committing to a graph-first architecture.

Pros and cons

Pros

• Distributed design targets very large graphs and complex queries.
• Native vector search supports graph and unstructured-data fusion.
• Deployment spans self-hosted, public-cloud, hybrid, macOS, and Windows environments.
• Professional adds high availability, while Cloud security controls include Private Link and role-based access.
• Java, Python, C++, Go, Spark, and Flink integrations broaden application and pipeline options.

Cons

• ACID transactions are not supported, ruling it out for transaction-centered workloads.
• Cloud Standard has no high availability and is limited to a single node.
• ISO-GQL support is confined to the custom-priced Enterprise v5.0 edition.
• The free edition offers only a subset of core features and relies on community support.
• The 14-day trial’s one small instance is suited to validation, not realistic scale testing.

Alternatives

LadybugDB is a free, MIT-licensed option with binaries across mobile, desktop, web, and self-hosted platforms, but it has no free trial.

ArcadeDB offers a forever-free Community plan with its full feature set and community support, making it a straightforward choice for teams wanting a broad free distribution.

Sparksee provides a free academic licence and a free trial, which may suit education-focused evaluation.

Memgraph is worth considering when ACID transactions and on-disk persistence are priorities in a free community edition.

AllegroGraph offers a free tier capped at 5 million triples and a customizable enterprise option.

Apache HugeGraph is a free, self-hosted open-source graph database and related component suite.

OrientDB provides a free Community distribution, with basic support priced at €1,000 a month.

TypeDB offers a managed Explore plan with 10 GB storage, 8 GB RAM, and 2 vCPUs, plus paid Launch capacity.

Browse the Graph Databases category for further options.

Verdict

Choose NebulaGraph for graph-heavy applications that need flexible deployment, very large-scale ambitions, vector search, and a path from free self-hosting to managed cloud. The main reason to look elsewhere is the absence of ACID transactions, while cloud buyers should pay for Professional or Enterprise when availability, support, or ISO-GQL is essential.