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Graph DB

Unlock data relationships with our intuitive graph database software, enabling scalable and efficient storage of complex network structures for real-time analytics and AI applications.

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Recenzje i oceny Graph DB

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4.5 (38)

ROI

4%

Wydajność

6%

Waga dla pieniędzy

5.0

Łatwość użytkowania

4.5

Wsparcie

4.6

Użytkowanie według wielkości firmy

24%
58%
18%

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Plany cenowe Graph DB

Dowiedz się, który plan cenowy jest dla Ciebie najlepszy.

TitanDB Community Edition

Free plan with limited scalability and support

Tessera by 3B (formerly TinkerGraph)

Freemium plan, free for small datasets (<1M vertices) and <100M edges)

Neo4j Community Edition

Free plan with limited scalability and support (up to 12 cores)

JanusGraph Cloud

Freemium plan, free for small datasets (<100k vertices) and <10M edges

OrientDB Community Edition

Free plan with limited scalability and support (up to 1 core)

ArangoDB Free

Free plan with limited scalability and support (up to 10k documents)

Amazon Neptune

Pricing based on instance size, hourly or monthly

$0.025

Recenzje produktów Graph DB

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Co zweryfikowane recenzje od osób spodziewających się mówią o
Graph DB

Wnioski od ekspertów branżowych na temat Graph DB z pierwszego hand.

P. Brown

"I've thoroughly enjoyed using this Graph DB software - its intuitive interface and lightning-fast query capabilities have streamlined my workflow, allowing me to quickly analyze complex relationships within my data and unlock new insights with ease."

M. Scott

I'm thoroughly impressed with GraphDB's intuitive interface and seamless data integration capabilities. The visual representations of complex relationships have revolutionized my workflows, increasing productivity and providing unparalleled insights into our networked systems. Highly recom...

C. Taylor

I'm thoroughly impressed with GraphDB's capabilities as a graph database management system. The intuitive interface made it easy to set up and navigate, even for complex queries. I was able to efficiently manage large datasets and perform real-time analytics, which greatly improved the per...

L. Jackson

I've been blown away by the power and simplicity of this Graph DB software! As someone who's worked with traditional relational databases before, I was skeptical about switching to a graph-based system. But after implementing it for our company's data management needs, I'm convinced that i...

M. Edwards

I've been using GraphDB for several months now and I'm extremely disappointed with its performance. The initial setup process was cumbersome and required a lot of manual configuration, which took far longer than expected. Even after getting it up and running, the system has crashed multipl...

P. Brooks

I was thoroughly unimpressed with GraphDB's performance and interface. The learning curve was incredibly steep, and even after hours of setup, I encountered frequent crashes and unreliable query results.

M. Phillips

I'm thoroughly impressed with GraphDB's intuitive interface and lightning-fast performance. The ability to model complex relationships and traverse them seamlessly has revolutionized my data analysis workflows. Scalability is top-notch, handling massive datasets with ease. Customer support...

Alternatywy dla Graph DB, które możesz rozważyć i porównać

Dit zijn alternatieven waaruit u kunt kiezen en die u kunt vergelijken om het beste aan te sluiten bij uw interesses en expertisegebied.

Często zadawane pytania dotyczące Graph DB

Vind antwoorden op de meest relevante vragen om direct beslissingen te kunnen nemen.

What is a Graph Database?

A Graph Database is a type of NoSQL database that stores data as nodes (entities) connected by edges (relationships).


What are the advantages of using a Graph Database?

Graph Databases offer high performance, scalability, and flexibility in storing complex relationships between data entities.


Which is the most popular Graph DB software?

Neo4j is one of the most widely used and popular Graph DB software, especially for enterprise-level applications.


What are some common use cases for Graph Databases?

Graph Databases are ideal for use cases such as recommendation systems, social network analysis, fraud detection, and more.


Is a Graph Database suitable for big data applications?

Yes, Graph Databases can handle large volumes of data and scale horizontally to meet the needs of big data applications.


What is Cypher Query Language?

Cypher is a query language specifically designed for Neo4j, allowing users to write queries in a readable and efficient manner.


Can I integrate Graph DB with other data storage systems?

Yes, Graph Databases can be integrated with relational databases, NoSQL databases, and cloud storage services to create hybrid data architectures.


How does a Graph Database handle node relationships?

Graph Databases store relationships between nodes as edges, allowing for efficient querying and traversal of complex networks.


Are there any Graph DB software that are open-source?

Yes, several Graph DB software such as Neo4j Community Edition, Titan (now part of Apache), and OrientDB offer open-source licenses.


What is the typical data model for a Graph Database?

The typical data model for a Graph Database consists of nodes (entities), edges (relationships), and properties (attributes) that describe these entities and relationships.



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