Graph Engine
Graph Engine is a powerful distributed in-memory data processing solution that leverages a strongly-typed RAM store for high-performance key-value access across clusters. It excels in managing large-scale graph data, enabling both low-latency online queries and high-throughput analytics. Its efficient memory management and clear data semantics optimize performance for billion-node graphs.
Top Graph Engine Alternatives
RelationalAI
RelationalAI transforms organizational knowledge into actionable insights through its innovative Knowledge Graph Coprocessor, seamlessly integrated within the Snowflake data cloud.
Graph Story
Graph Story offers a swift, managed graph database service that enables companies to achieve a production-ready setup in minutes, eliminating lengthy DIY implementations.
JanusGraph
JanusGraph is a robust, open-source graph database designed for handling vast networks of data, featuring hundreds of billions of vertices and edges across a distributed cluster.
InfiniteGraph
InfiniteGraph is a highly scalable graph database that excels in handling vast amounts of data, processing billions of nodes and edges per hour.
Aster SQL-GR
Aster SQL-GR™ delivers powerful graph analytics, enabling businesses to tackle complex challenges like fraud detection, supply chain management, and social network analysis with ease.
KgBase
KgBase is a versatile platform enabling users to collaboratively create and analyze knowledge graphs with ease.
AnzoGraph DB
It leverages MPP architecture to deliver rapid query execution and ultra-fast data loading...
Amazon Neptune
With capabilities like cross-Region replication, ACID transactions, and automated backups, it ensures high availability and...
Luna for Apache Cassandra
With expert guidance on performance tuning, troubleshooting, and best practices, organizations can confidently manage critical...
Cayley
It supports multiple query languages, including Gizmo and MQL...
TIBCO Graph Database
It empowers users to create dynamic models across organizational silos, transforming complex data webs into...
Apache TinkerPop
Utilizing Gremlin, its functional traversal language, users can seamlessly navigate complex property graphs...
HugeGraph
With its robust OLTP engine and REST-API, users can efficiently store and query billions of...
Apache Giraph
As an open-source variant of Google’s Pregel, it enhances features such as master computation and...
data.world
It empowers diverse teams by automating data cataloging, streamlining governance processes, and fostering collaboration, thereby...
Top Graph Engine Features
- Distributed in-memory processing
- Strongly-typed RAM store
- High-performance key-value store
- Globally addressable data access
- Fast random data access
- Large distributed data support
- Low-latency online queries
- High-throughput offline analytics
- Efficient schema management
- Compact data storage
- Quick memory allocation
- Rapid memory reallocation
- High memory usage ratios
- Billions of run-time objects
- Varied object size management
- Parallel computing capabilities
- Enhanced data exploration speed
- Data semantics clarity
- Large graph processing platform
- Optimized for complex queries
