OrientDB
The hybrid multi-model NoSQL database for lightning-fast graph traversals and document flexibility.

The world's most popular open-source relational database, now supercharged with native vector search and real-time analytics.
MySQL continues to dominate the RDBMS landscape in 2026, evolving from a standard web-app backend into a sophisticated multi-model data platform. Under Oracle’s stewardship, it maintains its core GPL open-source offering while pushing enterprise boundaries through MySQL HeatWave—an integrated, high-performance, in-memory query accelerator. The 2026 architecture focuses heavily on Generative AI readiness, incorporating native Vector Data Types and Distance Functions directly into the InnoDB engine, allowing developers to store and query high-dimensional embeddings alongside relational data without third-party extensions. Its technical architecture remains rooted in the pluggable storage engine model, with InnoDB providing full ACID compliance, multi-version concurrency control (MVCC), and robust crash recovery. MySQL's market position is cemented by its ubiquity in the LAMP/LEMP stacks, while its cloud-native variants on AWS RDS, Google Cloud SQL, and Oracle Cloud Infrastructure (OCI) offer automated scaling and zero-ETL integrations. For 2026, it remains the primary choice for transactional workloads (OLTP) and has successfully encroached on analytical (OLAP) territory via its massively parallel processing (MPP) capabilities in HeatWave, making it a unified solution for hybrid transactional/analytical processing (HTAP).
Native VECTOR data type supporting up to 16,384 dimensions with optimized L2, Cosine, and Inner Product distance functions.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
In-database machine learning that automates model training, feature selection, and hyperparameter tuning.
Provides disaster recovery across different data centers by linking multiple InnoDB Clusters with automated failover.
Enables CRUD operations and SQL querying on JSON documents without a predefined schema using the X Protocol.
Automated synchronization between MySQL and analytical warehouses like Amazon Redshift or OCI HeatWave.
Uses historical execution data to refine query plans for complex joins in real-time.
Allows adding columns or modifying metadata without rewriting the entire table.
Ensuring data consistency across thousands of concurrent transactions during high-traffic events.
Registry Updated:2/7/2026
Searching through millions of customer profiles to find similar preferences using vector embeddings.
Maintaining an immutable and encrypted record of all financial changes for compliance.