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Database Consolidation

ArangoDB revolutionizes database consolidation, seamlessly integrating diverse data models for streamlined operations. Unified queries and efficient resource utilization redefine data management, setting new standards in scalability and performance.

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Decoded Health

"The benefit that ArangoDB brought for us in this architecture you can see is we don't have any other data storage mechanisms, we don't have a search. That's because we've consolidated all the services of search, graph and document data stores into ArangoDB and that is, you know, leaps and bounds. For us, it's accelerated our performance because now we do not need to learn multiple technologies."

– Kevin Bayes, Co-Founder & CTO
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Graph today

(no credit card required), and experience the shortest time to value for a hosted graph DB.

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Case Studies

Learn why companies across industries are switching to ArangoDB for Graph.

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Simplicity

Data Model
Consolidation

By enabling data from various models to coexist seamlessly, ArangoDB simplifies database consolidation efforts, reducing data redundancy and ensuring consistent information across models. This is a distinct advantage over traditional databases that necessitate complex integration mechanisms.

Why it matters: This cohesion enables far more efficient data management and reduces data synchronization challenges.

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Streamlined

Unified Queries

ArangoDB's AQL empowers streamlined database consolidation by allowing unified querying across data models, eliminating the need for disparate queries to separate databases and enhancing operational efficiency.

Why it matters: This integrated querying capability simplifies data retrieval and analysis, driving productivity gains.

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coherent & accurate

Enhanced Data Consistency

ArangoDB's graph-based architecture uniquely supports native joins, enabling effortless consolidation of interconnected data across different models within a single query. This sets ArangoDB apart from conventional graph databases that often require intricate integration efforts. Data retrieval and relationship analysis across diverse datasets is now dramatically simplified.

Why it Matters: ArangoDB's unified approach guarantees that data remains coherent, accurate, and up-to-date across all interconnected models, facilitating dependable and error-free data operations.

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Efficient Resource
Utilization

ArangoDB's consolidated structure optimizes resource allocation, streamlining administrative tasks, deployment processes, and scalability considerations. This represents a unique approach to database consolidation that minimizes overhead associated with managing multiple standalone databases.

Why it matters: This resource efficiency translates to cost savings and enhanced system performance.

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DIVERSE DATA

Multi-Model
Flexibility

Simplifying database consolidation, ArangoDB uniquely combines graph, document, full-text search and key-value models into a single platform, accommodating diverse data structures and reducing the complexity of managing multiple systems.

Why it matters: This versatility allows businesses to handle a wide array of data types without the burden of integrating disparate databases.

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Get started with
Graph today

(no credit card required), and experience the shortest time to value for a hosted graph DB.

get started icon v2

Read the
Case Studies

Learn why companies across industries are switching to ArangoDB for Graph.

Get Started With ArangoGraph

Experience the shortest time to value for a hosted graph DB (no credit card required).