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Cost Effective Development &
Operations
Cost-Effective Advantages of ArangoDB: Streamlining Expenses for Efficient DB Development & Operations
"We saw a 66% reduction in infrastructure costs over the course of a year while ramping up activity on our platform by an order of magnitude."
Get started with
Graph today
(no credit card required), and experience the shortest time to value for a hosted graph DB.
Read the
Case Studies
Learn why companies across industries are switching to ArangoDB for Graph.
Cost Efficient Scalability
With
ArangoDB employs an ingenious approach to data management. It optimizes the way your hardware works, ensuring top-notch performance while using fewer computing resources. Scale both vertically AND horizontally to maximize performance at the lowest cost possible. And do so transparently without any manual intervention (downtime).
Efficient scalability also translates to reduced operational costs. Similar to a high-performance car engine, ArangoDB fine-tunes data processing, ensuring that you get the most out of your hardware investment without constant tune-ups every 10,000 miles.
Without
Legacy graph databases struggle with the technical complexities of manual vertical and horizontal scaling. Vertical scaling demands upgrading hardware to accommodate increased workload, resulting in much higher costs and potential performance bottlenecks.
Horizontal scaling necessitates intricate and HIGHLY MANUAL sharding and partitioning schemes, making data distribution and maintenance extremely labor intensive. There is no equivalent to ArangoDB’s transparent and automated sharding. Consider also the cost of downtime and breached SLAs from all the manual intervention and reconfiguration.
High Availability
With
ArangoDB's well-thought-out architecture ensures your data is replicated and protected on multiple machines, safeguarding your operations in case of any unexpected hiccups. This smart approach minimizes the need for costly hardware upgrades and constant manual oversight.
With ArangoDB's automatic background processes taking care of these critical tasks, you're empowered to focus on your work without disruptions or anxiety.
Without
With legacy graph databases, ensuring data availability often requires creating duplicate copies of the data and setting up backup systems that can take over in case of a failure. These arrangements involve additional hardware, software, and manual configuration, which can lead to significantly increased costs.
A more streamlined approach by automatically replicating data across nodes and providing built-in failover mechanisms is simply not an option.
Multi-Model Cost Advantage
With
ArangoDB's multi-model approach stands out by allowing different types of data, like documents, graphs, and key-value pairs, to be stored and managed within a single database. This eliminates the need for separate licenses and integration efforts required when using different databases for different data models.
ArangoDB eliminates the complexity of maintaining multiple systems. This unified approach not only saves costs associated with licensing but also streamlines development, reduces operational overhead, and simplifies data governance.
Without
Using a legacy, graph-only database requires you to have specialized tools for different tasks, like separate tools for cooking, gardening, and painting. Each tool has its rules and safety measures, making it hard to manage and oversee everything. Compliance suffers.
Why not have a toolbox where you can do all tasks in one place and get a unified governance model, all while doing graph itself much better (see Scalability, Availability, etc.)? This makes ensuring safety, rules, and organization much easier compared to juggling multiple tools with different guidelines.
Architecture Simplicity
With
The cost equation is not just about reducing licensing and development costs.
Imagine how hardware resources are better utilized, leading to reduced infrastructure costs. After all, you don’t need to power all those different database instances.
The inherent versatility of ArangoDB eliminates the requirement for additional hardware provisioning, resulting in cost-effective scalability and improved operational efficiency.
Without
Now imagine needing distinct environments for different types of data, causing resources to be scattered and increasing infrastructure costs.
Let’s say you need to handle both customer profiles and social connections. Legacy graph databases might force you to set up separate systems for each. This fragmentation results in inefficient resource use and more expenses to manage and scale multiple instances.
Developer Productivity
With
ArangoDB empowers a simplified development process driven by its unified query language, AQL, which handles graph, search, document, and key-value data types seamlessly. This streamlines development, removing the need to learn and switch between multiple languages, saving time and reducing labor costs.
ArangoDB's multi-model support also eliminates the complexity of integrating and staging data across separate databases, further cutting down on expenses.
Without
Legacy graph databases often necessitate learning and managing multiple query languages tailored to different data models like graphs, documents, and key/value. This complexity increases development time and costs as developers need to switch between languages and build separate data integration processes for each model.
All this means more overhead from integrating and staging data across various databases, resulting in less system availability and major cost overruns.
Get started with
Graph today
(no credit card required), and experience the shortest time to value for a hosted graph DB.
Read the
Case Studies
Learn why companies across industries are switching to ArangoDB for Graph.