New SQL Databases

There are several new and emerging SQL databases or enhancements in the SQL space that are gaining attention in the tech world. Here are some of the notable ones:

1. CockroachDB

• Type: Distributed SQL Database
• Description: CockroachDB is an open-source, distributed SQL database designed for cloud-native applications. It offers strong consistency, high availability, and horizontal scalability. It's great for apps that need to be highly resilient and can scale easily across multiple regions.
• Key Features: Distributed, fault-tolerant architecture Horizontal scaling ACID compliance Geographically distributed transactions

2. Vitess

• Type: Scalable SQL Database
• Description: Vitess is an open-source database clustering system for horizontal scaling of MySQL. Originally created by YouTube, it’s designed to scale MySQL databases to handle high throughput.
• Key Features: MySQL compatibility Horizontal scaling for MySQL Sharding and replication support High availability and fault tolerance

3. SingleStore (formerly MemSQL)

• Type: Distributed SQL Database
• Description: SingleStore is a distributed, cloud-native SQL database designed for real-time analytics. It combines the speed of an in-memory database with the flexibility of a SQL interface. It’s suitable for OLAP (Online Analytical Processing) and OLTP (Online Transactional Processing) workloads.
• Key Features: Real-time analytics Multi-cloud support In-memory database with durability ACID compliance

4. TimescaleDB

• Type: Time-Series SQL Database
• Description: TimescaleDB is an open-source time-series database built on PostgreSQL. It is designed for handling time-series data, which is essential in use cases like IoT, finance, and monitoring systems.
• Key Features: Optimized for time-series data Fully SQL-compliant (PostgreSQL-based) Scalable across distributed systems Advanced analytics and aggregation functions

5. YugabyteDB

• Type: Distributed SQL Database
• Description: YugabyteDB is an open-source distributed SQL database designed for high availability and horizontal scalability. It supports both SQL (PostgreSQL-compatible) and NoSQL features (key-value store).
• Key Features: Horizontal scaling PostgreSQL compatibility High availability with automatic failover Geo-distribution

6. PlanetScale

• Type: Serverless SQL Database
• Description: PlanetScale is a serverless database platform built on top of Vitess (used by companies like YouTube). It is designed to scale effortlessly and provides a MySQL-compatible SQL interface.
• Key Features: Serverless architecture MySQL compatibility Automatic scaling Advanced branching and deployment workflows

7. Citus (PostgreSQL extension)

• Type: Distributed SQL for PostgreSQL
• Description: Citus is an extension for PostgreSQL that enables you to scale out your PostgreSQL database horizontally across multiple machines, making it suitable for large-scale, high-velocity workloads.
• Key Features: Horizontal scaling for PostgreSQL Distributed queries and aggregation Multi-node architecture Supports both transactional and analytical workloads

8. NuoDB

• Type: Distributed SQL Database
• Description: NuoDB is a distributed SQL database that is designed for cloud environments and offers high availability and scalability. It provides SQL compliance and ACID transactions.
• Key Features: Cloud-native design Horizontal scaling SQL compliance with ACID transactions Elasticity in cloud environments

9. HarperDB

• Type: Hybrid SQL/NoSQL Database
• Description: HarperDB is a database that combines the strengths of SQL and NoSQL. It uses a hybrid data model that supports both relational and non-relational data structures in a single database.
• Key Features: SQL and NoSQL compatibility Edge computing and IoT optimization Simple API-driven architecture Real-time synchronization and scalability

10. Apache Trafodion

• Type: SQL-on-Hadoop Database
• Description: Apache Trafodion is an open-source SQL-on-Hadoop database, providing ACID-compliant transactional capabilities on top of Hadoop. It's designed for applications that require both big data processing and transactional integrity.
• Key Features: ACID transactions SQL-on-Hadoop Integrated with Apache Hadoop Suitable for big data analytics

Key Trends in New SQL Databases

• Cloud-Native & Serverless Architectures: Many new SQL databases are being designed with cloud-native deployments in mind, providing elasticity and seamless scaling.
• Horizontal Scalability: A key feature of newer databases is the ability to scale horizontally, making it easier to manage massive amounts of data.
• Hybrid Models: There is a growing trend towards hybrid models that combine SQL with NoSQL features, providing flexibility depending on use cases.
• Real-Time & Analytics Focus: Many new SQL databases are optimized for real-time processing and analytics, addressing the needs of modern data-driven applications.

These new databases are pushing the envelope in terms of scalability, performance, and flexibility, making them suitable for modern cloud applications and large-scale systems.