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Neo4j vs OpenEverest

Neo4j

neo4j.com

OpenEverest

openeverest.io

Side by side

FigureNeo4jOpenEverest
Price from$65/moFree
Free planYesYes
Free trialYes—
Open source——
Web—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hostedYesYes
Plans published41
Spec score · Database Administration Tools8.7 (#2)8.0 (#8)

Plans

Neo4j

  • AuraDB FreeFree
  • AuraDB Professional$65 a month
  • AuraDB Business Critical$146 a month
  • AuraDB Virtual Dedicated CloudPriced on request

Neo4j pricing →

OpenEverest

  • OpenEverestFree

OpenEverest pricing →

In their own words

Neo4j

Neo4j is a property graph database for storing and querying connected data. It supports Cypher and GQL, ACID transactions, graph algorithms, replication, and vector search. Deployment options include self-hosted, hybrid, multi-cloud, and fully managed cloud, while the listed platform is self-hosted. Its tools include native language drivers, GraphQL and Cypher tools, visualization tools, and connectors for Confluent Cloud, Apache Kafka, cloud data warehouses, and BI tools. AuraDB Free costs nothing, billed monthly, and requires no payment method; it includes one database instance, single-zone deployment, and no service availability SLA. AuraDB Professional costs $65 a month and offers a 14-day free trial. AuraDB Business Critical costs $146 a month and includes a three-zone cluster and a 99.95% uptime SLA. AuraDB includes encryption at rest and in transit, and Neo4j provides role-based access controls. Neo4j Ops Manager administers and monitors deployments centrally. Support options range from best effort to 24x7 premium support with a one-hour response.

Visit neo4j.com

OpenEverest

OpenEverest is a free, open-source platform for provisioning and managing databases, storage, and LLMs on Kubernetes. Teams can create database instances through the UI, API, or CLI, choosing topologies, versions, and presets. The listed workloads include MySQL, MariaDB, MongoDB, PostgreSQL, ClickHouse, Microsoft SQL Server, TiDB, and Valkey; its FAQ also names Apache Cassandra and KServe. Users can scale by adding nodes, shards, or replicas and adjusting CPU, memory, and storage. The platform supports scheduled backups to S3-compatible storage, point-in-time recovery, and cloning an instance from a backup. It can send metrics to an existing observability stack without requiring a particular monitoring tool. Built-in protections include TLS, generated credentials, and role-based access control. A guided interface covers storage classes, pod scheduling, external access, and database engine parameters. OpenEverest can run on Kubernetes in public or private clouds, on bare metal, or on-premises. Its components are available under Apache 2.0. Version 1 is current; version 2 is a developer preview that is not feature-complete or intended for production.

Visit openeverest.io