Oracle Spatial and Graph Alternatives: Top 10 Graph Database in 2025

Neo4j is an online graph database that has satisfied the needs of many companies like Lyft, Airbnb, Adobe and many more. In fact, it is the only enterprise-strength graph database that combines native graph storage, scalable speed-optimized architecture, and ACID compliance. With Neo4j you can choose from multiple cloud options – self-hosted, hybrid, multi-cloud, or our fully managed cloud service, Neo4j AuraDB. Neo4j's high-performance distributed cluster architecture scales with your data needs, minimizing cost and hardware while maximizing performance across connected datasets. Neo4j's high-performance distributed cluster architecture scales with your data needs, minimizing cost and hardware while maximizing performance across connected datasets. Make use of Neo4j’s 1000X performance advantage for applications that need to scale up and out to handle higher data volumes, while also maintaining data integrity and higher performance across a growing diversity of on-premises, hybrid, and cloud architectures. Neo4j enforces rigorous enterprise security rules while remaining easy to deploy and manage. Protections like “row-level” security in relational databases are not enough when using graphs. Organizations need fine-grained access control for mission-critical security and privacy. Neo4j is designed with flexibility in mind to help meet the evolving needs of your applications and includes options to run in any cloud environment. Neo4j also offers developer control, robust data pipelines, and modern reactive architecture.

RecallGraph is a versioned-graph data store - it retains all changes that its data have gone through to reach their current state. And it Integrate into any stack. It can also import the existing non-temporal data and begin tracking revisions from there.

OrientDB is a database management system (DBMS) platform where software professionals can learn NoSQL database with easy and simple steps. It comes with a graph editor that can be used to visualise, modify and interact with the data. Learners can ask queries and get answers to clear their concepts. The system comes with a command-line console that can be used to quickly manage databases through a terminal console interface. Unlike other DBMSs that work as secondary databases, OrientDB offers a flexible and powerful system that can be used as an operational DBMS. OrientDB offers unmatched security, query profiler as well as 24x7 support to resolve any issue and give the required information. It also supports incremental backups, metrics recording, distributed clustering configuration and live monitoring along with configurable alerts. OrientDB is created with a zero-configuration multi-master architecture that helps it to manage workload easily and deliver the best services across distributed modern data centres.

It is a predictive analysis software. Powerful data mining methods are provided by Oracle Data Mining (ODM), allowing data analysis to find patterns, anticipate outcomes, and make the most of Oracle data and investments. Data scientists and business and data analysts can use it to view data, quickly develop a variety of machine learning models, compare and contrast different models, use different models to different types of data, and speed up model deployment. It has a vast list of features such as - a database service that is fully automated and designed to execute batch, transactional, and analytical workloads simultaneously. It has predefined row formatting, indexes, and data caching to speed up performance while also offering scalability, availability, transparent security, and real-time operational analytics. One of its most beneficial features is Data Analytics and Warehousing - Columnar format, partitioning, and big joins are preset to make database setup, data extraction, loading, and transformation, running complex reports, making predictions, and building machine learning models easier and faster. Data can be used by data scientists, business analysts quickly, simply, and affordably to find business insights.

Oracle SQL Developer is a free, integrated development environment that simplifies the development and management of Oracle Database in both traditional and Cloud deployments. SQL Developer offers complete end-to-end development of your PL/SQL applications, a worksheet for running queries and scripts, a DBA console for managing the database, a reports interface, a complete data modeling solution, and a migration platform for moving your 3rd party databases to Oracle.

Arcade Analytics is a software allowing users to visualize data into graphs and charts. The key feature of this tool is to create easy-to-understand visualizations from complex data using queries. It runs on top of the database and users can query the database to get the data in a visual format. Arcade cloud lets users access their analytics and data from anywhere and the insights can be shared with the team and clients. The connectors visually represent relationships and connections within their datasets. There are a plethora of options that allow users to find meaningful relationships and connections. These options include changing the size, colour, background image, and layout of nodes, and filtering the visualization to only see certain sections of the data. The software integrates with many popular Relational and Graph Databases including Oracle, MySQL, PostgresSQL, Neo4j, OrientDB, TigerGraph, and JanusGraph.

Anzo is a complete knowledge graph platform built on a high-performance graph database engine, called AnzoGraph, that uses an in-memory MPP processing paradigm to execute queries against datasets extremely quickly, enabling agile data integration, transformation, and analytics at enterprise scale.

grafaBase is the offering that helps professionals seamlessly combine their data sources into a single GraphQL endpoint. This centralized architecture simplifies the work of shipping products, allowing users to invest their resources into creating innovative products for customers rather than spending time maintaining infrastructure and dealing with pesky data synchronization issues. With grafaBase, don't have to worry about becoming an expert in databases or serveless architectures, can instead focus on refining and building upon current product offerings. Plus, it has been designed to be easily integrated with existing Internal systems and APIs, streamlining the process of consolidating all data sources. With grafaBase, professionals now have greater control over how they create, implement and securely store data – saving them both time and money in the long run.

The Oracle Data Science Cloud Service enables data science teams to easily organize their work, access data and computing resources, and build, train, deploy, and manage models on the Oracle Cloud. Launch environments with popular machine learning frameworks like TensorFlow and scikit-learn, or easily install any other open-source package. You can build and train models within a notebook environment leveraging high-performance Oracle Cloud Infrastructure.

TigerGraph is a powerful platform for advanced analytics and machine learning on connected data. It is based on the industry’s first and only distributed native graph database, making it a powerful tool for uncovering insights from vast data sets. It is designed to support a wide range of applications, including fraud detection, anti-money laundering (AML), entity resolution, customer 360, recommendations, knowledge graph, cybersecurity, supply chain, IoT, and network analysis.

InfiniteGraph is the graph database and analytics platform for solving the most complex problems at massive speed and scale for enterprises and government.

Nebula Graph is a graph database solution that helps companies to build large-scale graphs quickly. It comes with an Apache 2.0 license that enables companies to modify, copy and even redistribute Nebula Graph for any purpose. The solution offers a wide variety of data visualisation tools, such as Nebula Explorer, Nebula Dashboard and Nebula Studio. It also includes other tools like Nebula Analytics and Nebula Algorithm, that can be easily integrated with the Nebula Graph solution. This integration also includes other big data frameworks like Flink, Spark GraphX and Tencent Plato that contribute to enhancing the graph computing ability of users. The Nebula Graph uses a RocksDB, a powerful storage engine, that offers low latency for writing and reading and high throughput. Companies get work with an nGQL query language which is compatible with openCypher. Moreover, it also allows users to add more services and nodes to the cluster without compromising performance.

This SaaS web-based geographic information system software can easily transform your valuable data into easy-to-understand visual maps. It gives sophisticated analysis tools, visually appealing styling options, and offers seamless integration with Salesforce. It is a highly collaborative tool. It has advanced location analytics that facilitates data filtering and segmentation to connect business activity directly to a destination. eSpatial includes a long list of useful GIS features, which include census data integration, geocoding, interoperability, spatial analysis, internet mapping etc. You can do labeling, colour coding, export images, create maps and share them.

GraphJSON is a platform used to do more with the data without breaking the bank. It has powerful features like Dashboard, Alerts Notifications, SQL, Real time and much more. It seamlessly integrates with Vercel, Stripe, Segment.

VelocityDB is an easy to use, extremely high performance, scalable, embeddable and distributable object database system with indexes for C# .NET applications with a small footprint

IBM Graph unleashes the power of data connections by letting you store, query, and visualize data points, connections, and properties in a property graph as an enterprise-grade IBM service. The experts monitor, manage and optimize everything in your stack, every day, all day, so your dev team can focus on building that next great app, not worrying about the graph. Scale your graph database as your data grows without significantly impacting query performance or the data model.

Dgraph is a graph database that makes implementing a GraphQL backend for your apps a breeze. It includes everything you'll need to create apps, connect your data, and scale your business. No code is required to develop your schema, deploy it, and gain immediate database and API access. You can use GraphQL or go further with DQL. Even if you have no prior knowledge of graph databases, you can quickly and easily dive into your data. To take advantage of the capabilities of a unified data graph, you may quickly import or stream data into Dgraph. In JavaScript, you may quickly define custom logic that will be run when a query or mutation is issued. Even when providing terabytes of data, you can easily scale horizontally to retain high throughput and low latency. gRPC, Protocol Buffers, Go contexts, and Open Census integration for distributed tracing are just a few of the open standards that Dgraph supports.

Oracle Essbase enables your users to create complex financial models and innovative, easy-to-understand visualizations. Develop and manage analytics applications that can forecast likely business performance levels quickly and easily. It requires only a single point of maintenance to manage data and business rules. Move beyond silos of data and disconnected spreadsheets for reporting and analysis. Develop, maintain, and report from highly dimensional models. Enables detailed analysis of terabytes of data for thousands of simultaneous users, providing up-to-the-minute, dependable information.

Oracle Database software helps managing data and processing necessary transactions in an orderly and ease way.It supports data migration, data replication and also offers data conversion facilities.Doing performance analysis with this software is easy and also comes with relational interface. A few RDBMS and data warehouse features are also available. You can run it on any platform and offers high scalability and flexibility.It can restore database and ensures fast data recovery.This relational database engine comes with separate physical and logical structure, hence physical data structure can be managed without impacting logical structure access.