Nebula Graph

Nebula Graph

Nebula Graph is a cutting-edge distributed graph database designed for massive-scale graph processing with millisecond latency. Its native graph engine guarantees exceptional QPS and TPS, while nGQL simplifies complex queries. With support for on-premises, cloud, and hybrid deployments, it offers high availability, horizontal scalability, and robust disaster recovery capabilities for enterprises worldwide.

Top Nebula Graph Alternatives

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1

Oceanbase

OceanBase is a cutting-edge distributed database designed to handle mission-critical workloads with unparalleled performance and reliability.

By: OceanBase From China
2

AntDB

AntDB is a cloud-native, distributed relational database designed for high-performance transaction and analytical processing.

By: Antdb AsiaInfo From China
3

FoundationDB

FoundationDB is a robust multi-model database that enables users to store diverse data types efficiently.

From United States
4

Blazegraph

Blazegraphâ„¢ DB is an ultra high-performance graph database capable of supporting up to 50 billion edges on a single machine.

By: SYSTAP, LLC DBA Blazegraph From United States
5

Apache Accumulo

Apache Accumulo enables efficient storage and management of large data sets across clusters, leveraging Apache Hadoop's HDFS for data storage and ZooKeeper for consensus.

By: Apache Corporation From United States
6

Grakn

Grakn is a sophisticated distributed database designed to facilitate the creation of intelligent data applications.

By: Grakn Labs From United Kingdom
7

Apache Trafodion

It seamlessly integrates with Hadoop, providing SQL access to structured, semi-structured, and unstructured data...

By: Apache Software Foundation From United States
8

rqlite

It features a user-friendly HTTP API, supports full-text and vector searches, and ensures secure deployments...

From United States

Top Nebula Graph Features

  • Distributed architecture
  • Millisecond latency
  • Native graph engine
  • Trillions of edges/vertices
  • High concurrency support
  • Easy-to-learn nGQL
  • Compatibility with openCypher
  • Cloud-native design
  • Horizontal scalability
  • Automatic disaster recovery
  • Snapshot feature for recovery
  • Browser-based visualization tools
  • Enterprise-grade security
  • Seamless integration with multiple languages
  • Production-ready stability
  • Effortless scaling options
  • Supports complex queries
  • Low-latency read/write
  • Client libraries for integration
  • Wide industry adoption