Top Rated NebulaGraph Alternatives
(12)
4.2 out of 5
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UC
Verified User in Computer Software
Mid-Market(51-1000 emp.)
What do you like best about NebulaGraph?
Nebula Graph is easy to learn, highly scalable, and performant for large datasets. Review collected by and hosted on G2.com.
What do you dislike about NebulaGraph?
Cluster setup and management for horizontal scalability can be a little complicated. Review collected by and hosted on G2.com.
1 out of 2 Total Reviews for NebulaGraph
5.0 out of 5
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Gourav S.
Product Manager
Enterprise(> 1000 emp.)
What do you like best about NebulaGraph?
The ease of integration of big data with Nebula is remarkable. It easily integrates with enterprise softwares and provides graphical solutions with high latency and scale. Its the best solution for real time refresh use cases where data helps in making super fast and reliable decisions. Review collected by and hosted on G2.com.
What do you dislike about NebulaGraph?
Nothing as such. All the products are great. Review collected by and hosted on G2.com.
There are not enough reviews of NebulaGraph for G2 to provide buying insight. Below are some alternatives with more reviews:
1
Neo4j Graph Database
4.5
(132)
Neo4 is a graph database, that brings data relationships to the fore. From companies offering personalized product and service recommendations; to websites adding social capabilities; to telcos diagnosing network issues; to enterprises reimagining master data, identity, and access models; organizations adopt graph databases as the best way to model, store and query both data and its relationships.
2
ArangoDB
4.6
(110)
ArangoDB is a distributed, free, and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
3
Redis Software
4.5
(130)
Redis Software is designed for organizations that need fast, reliable in-memory database capabilities alongside the flexibility to manage their infrastructure. With sub-millisecond latency and millions of operations per second, Redis Software excels in delivering real-time performance. Built for high availability and disaster recovery, Redis Software ensures your data remains safe and accessible, providing the foundation for fast, scalable applications.
4

Azure Cosmos DB
4.4
(110)
Azure Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high availability with multi-homing capabilities and low latencies anywhere in the world.
5

Elastic Stack
4.4
(91)
See the Value in Your Data. Flexible analytics and visualization platform. Real-time summary and charting of streaming data. Intuitive interface for a variety of users. Instant sharing and embedding of dashboards
6

Aerospike
4.4
(83)
Aerospike Database is a Key-Value Store and high performance real-time NoSQL (flex-schema) database.
7

OrientDB
3.9
(60)
OrientDB is a Distributed Graph Database engine with the flexibility of a Document Database all in one NoSQL database.
8
Amazon Neptune
4.5
(45)
Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets.
9
Redis Cloud
4.4
(45)
Redis Cloud combines the power of Redis with the convenience of a fully managed service, offering blazing-fast performance with sub-millisecond latency and millions of operations per second. Redis Cloud scales effortlessly to handle any workload, ensuring your applications remain fast and responsive. With features like auto tiering and advanced query and search capabilities, Redis Cloud simplifies your tech stack while delivering exceptional performance. Our robust high availability, including an industry-leading 99.999% up-time SLA ensures your data is always safe and accessible, allowing you to focus on building and deploying applications with confidence.
10
Dgraph
4.7
(22)
Dgraph shards the data to horizontally scale to hundreds of servers. It is designed to minimize the number of disk seeks and network calls. Dgraph is built like a search engine. Queries are broken into sub-queries, which run concurrently to achieve low-latency and high throughput. Dgraph can easily scale to multiple machines, or datacenters. Its sharded storage and query processing were specifically designed to minimize the number of network calls.
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