Titan Database vs Microsoft SQL Server

Struggling to choose between Titan Database and Microsoft SQL Server? 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, Microsoft SQL Server is a Business & Commerce product tagged with database, relational-database, sql, data-warehousing, analytics, machine-learning.

Its standout features include Relational database management system, Transaction processing, Data warehousing, Analytics, Machine learning, High availability, Disaster recovery, Security, Scalability, and it shines with pros like Wide platform and OS support (Windows, Linux, containers), Mature and feature-rich, Strong performance and scalability, Built-in high availability and disaster recovery, Powerful analytics and machine learning capabilities, Integrates well with other Microsoft products and Azure cloud.

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 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:
Development Databases
graph database distributed scalable

Titan Database Features

  1. Distributed graph database
  2. Highly scalable
  3. Real-time data access
  4. ACID transactions
  5. Multi-model storage
  6. Elastic scaling
  7. Global graph analytics
  8. Native integration with Apache Spark & Apache TinkerPop Gremlin

Pricing

  • Open Source
  • Custom Pricing

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

Microsoft SQL Server

Microsoft SQL Server

Microsoft SQL Server is a relational database management system developed by Microsoft. It supports transaction processing, data warehousing, analytics and machine learning. SQL Server runs on Windows and Linux.

Categories:
Business & Commerce Databases
database relational-database sql data-warehousing analytics machine-learning

Microsoft SQL Server Features

  1. Relational database management system
  2. Transaction processing
  3. Data warehousing
  4. Analytics
  5. Machine learning
  6. High availability
  7. Disaster recovery
  8. Security
  9. Scalability

Pricing

  • Subscription-Based

Pros

Wide platform and OS support (Windows, Linux, containers)

Mature and feature-rich

Strong performance and scalability

Built-in high availability and disaster recovery

Powerful analytics and machine learning capabilities

Integrates well with other Microsoft products and Azure cloud

Cons

Can be complex to manage

Limited use of open source components

Expensive licensing for advanced editions