Alternatives to Visual Layer

Unified AI platform for fast, cost-effective AI inference and reasoning on GPUs.

Source-available, multi-threaded Redis replacement for modern cloud workloads.

A cloud database company providing a unified platform for transactional, analytical, and AI workloads.

Redis is an open-source, in-memory data platform used as a database, cache, and message broker, powering real-time applications at scale.

Open source Firebase alternative with a PostgreSQL backend and real-time capabilities.

Fully managed ClickHouse service for real-time analytics on AWS, GCP, and Azure.

ScyllaDB is a high-performance, low-latency NoSQL database for data-intensive applications, designed to scale with modern infrastructure.

Distributed SQL database for cloud-native applications, offering high availability and horizontal scalability.

An open-source, column-oriented OLAP database management system for real-time analytics.

Fully managed ClickHouse service for high-performance analytical workloads and real-time insights.

Open-source Postgres platform for agent scale with copy-on-write branching.

Creator of InfluxDB, an open-source time series database for managing and analyzing high-volume, high-speed data.

pgEdge offers distributed PostgreSQL that is optimised for the network edge in order to reduce data latency.

Ground AI in enterprise data with zero ETL. Spice is an open-source SQL query & hybrid search engine built for data-intensive apps & AI agents.

A real-time search analytics database unifying search and analytics in a single platform.

Open-source, massively parallel processing SQL database for big data analytics and data warehousing.

Managed vector database for building scalable, reliable, and accurate AI applications and search.

A powerful, open-source object-relational database system known for reliability and extensibility.

Provides enterprise-grade database solutions based on the open-source MariaDB, offering advanced features, security, and scalability.

A serverless Postgres database with separation of storage and compute.