Titan Database vs FleetDB

Struggling to choose between Titan Database and FleetDB? Both products offer unique advantages, making it a tough decision.

Titan Database is a Development solution with tags like graph, database, distributed, scalable.

It boasts features such as Distributed graph database, Highly scalable, Real-time data access, ACID transactions, Multi-model storage, Elastic scaling, Global graph analytics, Native integration with Apache Spark & Apache TinkerPop Gremlin and pros including High performance, Scalability, Fault tolerance, Flexibility, Open source.

On the other hand, FleetDB is a Business & Commerce product tagged with time-series, metrics, sensor-data, events, lightweight, scalable, docker, kubernetes.

Its standout features include Time series data storage, High write throughput, Fast reads, Numeric data optimization, Lightweight, Scalable, Docker and Kubernetes deployments, and it shines with pros like Open source, Fast performance, Scalable, Lightweight, Easy deployment.

Feature	Titan Database	FleetDB
Overall Score	N/A	N/A
Primary Category	Development	Business & Commerce

Product Overview

Titan Database

Description: Titan is an open-source, distributed graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is highly scalable and provides real-time data access through a transactional database.

FleetDB

Description: FleetDB is an open-source time series database optimized for fast reads and writes of numeric data. It is useful for capturing metrics, sensor data, and events. FleetDB is lightweight, scalable, and easy to deploy in Docker and Kubernetes.

Key Features Comparison

Titan Database Features

• Distributed graph database
• Highly scalable
• Real-time data access
• ACID transactions
• Multi-model storage
• Elastic scaling
• Global graph analytics
• Native integration with Apache Spark & Apache TinkerPop Gremlin

FleetDB Features

• Time series data storage
• High write throughput
• Fast reads
• Numeric data optimization
• Lightweight
• Scalable
• Docker and Kubernetes deployments

Pros & Cons Analysis

Titan Database

Pros

• High performance
• Scalability
• Fault tolerance
• Flexibility
• Open source

Cons

• Steep learning curve
• Limited ecosystem compared to other databases
• Not ideal for non graph workloads

FleetDB

Pros

• Open source
• Fast performance
• Scalable
• Lightweight
• Easy deployment

Cons

• Limited documentation
• Not ideal for non-numeric data
• No built-in monitoring or alerting
• Limited ecosystem compared to more established databases

Pricing Comparison

Titan Database

• Open Source
• Custom Pricing

FleetDB

• Open Source