Titan Database vs BigMemory
Struggling to choose between Titan Database and BigMemory? 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, BigMemory is a Development product tagged with caching, data-management, low-latency.
Its standout features include Distributed in-memory data storage, Automatic data eviction and loading, Read/write caching for databases, Support for terabytes of data, Integration with Hadoop and Spark, High availability through replication and failover, and it shines with pros like Very fast data access and throughput, Reduces load on databases, Scales horizontally, Lowers infrastructure costs by using RAM instead of disks, Supports both Java and .NET platforms.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Titan Database
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.
Categories:
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
Pricing
- Open Source
- Custom Pricing
Pros
Cons
BigMemory
BigMemory is an in-memory data management system that provides a fast, scalable cache and data store for applications. It allows storing terabytes of data in memory for low-latency data access.
Categories:
BigMemory Features
- Distributed in-memory data storage
- Automatic data eviction and loading
- Read/write caching for databases
- Support for terabytes of data
- Integration with Hadoop and Spark
- High availability through replication and failover
Pricing
- Subscription-Based