VoltDB

Website

voltdb.com

Categories

#Databases #NoSQL Databases #Data Integration #Synchronization

Tarantool

Website

tarantool.io

Categories

#Databases #NoSQL Databases #Key-Value Database #Relational Databases

VoltDB features and specs

• High Performance
  VoltDB is designed for high-speed data processing and can handle a large number of transactions per second, making it suitable for real-time applications.
• In-Memory Storage
  Data in VoltDB is stored in-memory, which eliminates disk I/O latencies and enhances the speed of data retrieval and processing.
• Strong Consistency
  The database provides ACID properties, ensuring that transactions are processed reliably and consistently, which is critical for financial and other sensitive applications.
• Real-time Analytics
  VoltDB can perform complex queries and analytics in real time, enabling immediate insights and decision-making.
• Scalability
  VoltDB supports horizontal scaling, allowing it to handle increasing amounts of data and transactions by adding more nodes to a cluster.

Possible disadvantages of VoltDB

• Memory Dependency
  Since data is stored in-memory, the amount of data that can be handled is limited by the available memory, which might require additional resources or configurations.
• Complexity of Setup
  Initial setup and configuration of VoltDB can be complex, requiring a solid understanding of the system and expertise to optimize performance.
• Limited to Specific Use Cases
  VoltDB excels in OLTP and real-time applications but might not be suitable for workloads primarily involving heavy analytical processing (OLAP).
• Commercial Licensing
  While there may be a community edition available, advanced features and support generally require commercial licensing, which can be costly for some organizations.
• Subset of SQL
  VoltDB may not support the full SQL standard, which might limit certain types of queries or necessitate changes to existing applications designed for other databases.

Tarantool features and specs

• High Performance
  Tarantool is renowned for its high-speed transactions and low-latency response times, making it suitable for applications that require fast data processing.
• In-Memory Storage
  Utilizes an in-memory architecture, which enhances data retrieval speeds, beneficial for real-time applications and caching solutions.
• Lua Integration
  Provides seamless integration with Lua scripting, allowing developers to easily write stored procedures and embed logic directly with the data layer.
• Scalability
  Offers features like asynchronous replication and sharding, enabling horizontal scaling for large-scale applications.
• Flexible Schema
  Supports schema-less design, giving developers the flexibility to handle data without strict schemas, making it versatile for evolving data models.

Possible disadvantages of Tarantool

• Limited Community Support
  Being a less mainstream technology compared to other databases, it has a smaller community, which might mean less third-party resources and community-driven support.
• Complexity
  Its powerful features can add complexity, making it potentially challenging for developers unfamiliar with in-memory databases and advanced configurations.
• Fewer Integrations
  Compared to more popular databases, Tarantool may have fewer out-of-the-box integrations with third-party applications and services.
• Learning Curve
  Requires understanding of Lua scripting and its architecture, which might pose a learning hurdle for developers accustomed to more conventional databases.
• Limited Documented Use Cases
  There is a relative scarcity of documented use cases and real-world applications, which could be a drawback for companies looking for proven and documented success stories.

VoltDB Explained in 2 Minutes

More videos:

5. СУБД в HighLoad. Tarantool | Технострим

More videos: