GraphJSON Alternatives: Top 10 Graph Database in 2025

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.

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.

Looking to revolutionize the way they gather and present data? Look no further than Dashbase - the ultimate tool for creating quick and powerful analytics dashboards. Designed for professionals who are serious about their data, Dashbase harnesses the power of AI to transform the way they analyze and present their information. Say goodbye to tedious coding and complicated queries. With Dashbase, all they need to do is describe the data they want to gather and let our smart AI algorithms do the rest. No more hours spent sifting through SQL databases - let Dashbase do the heavy lifting while they focus on uncovering insights and telling their data's story. Creating charts and dashboards has never been easier. With Dashbase's intuitive interface, they can easily find the best way to showcase their data and rally their team behind the numbers. And with full-screen mode, they can impress their colleagues and clients by presenting their data on office screens or TVs in stunning detail. But that's not all. Dashbase's fully responsive dashboards are designed to look great on any device - from their desktop to their phone. Now they can access their data and insights on the go, no matter where they are.

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.

Analytics Canvas - Visual data-prep and automation software with a focus on integration of GA4, Ads, Search Console, Sheets, BigQuery, GCS, & Data Studio with databases and files. It provides unique key features like Automate dashboards and reports, Command line automation, Self-serve data prep tools and much more.

DB Dash is a self-hosted solution, which means all your business data and passwords remain on your servers. They support can help you with anything from setting up DB Dash to writing SQL queries for your dashboards. Clear and simple UI that unlocks your data through beautiful, live dashboards. All you need is one or more databases with your data and you are ready to create a dashboard displaying insights. Getting insights into the data that matters to you is hard. Existing solutions are complex, expensive and hard to use.

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.

Data analysis, visualization, sharing, and monitoring are all made easier with Draxlr. Even if you don't know how to code, you can get clear business insights. Analyze and keep an eye on your SQL database. Explore data with the Query Builder, visualize it with the Data Visualizer, create a custom dashboard, and receive data change alerts via Slack and email. Data can be exported to Excel and CSV. Dashboards can be embedded.On a fully managed platform, you can analyze data, run complex queries, create graphs and charts, make dashboards with visualizations and data summaries, and much more. With just a single URL, you can easily connect your SQL databases. Draxlr Connector makes it easier to integrate Heroku databases. Perform advanced queries with our user-friendly Query Builder, and even run raw queries to fine-tune your findings. Export your results in CSV format with ease. Analyze your data and use graphs and charts to show the results. Get a summary of your information. Create a dashboard to make it easy to see the results of updates. Get data update notifications sent directly to your inbox.

Oracle Database, keeping a vision to help people view data in new ways now includes Machine Learning, Spatial and Graph features. If a person has an Oracle Database license he/she can use all the industry-leading Machine Learning, Spatial and Graph capabilities for development and deployment purposes (on-premise and in Oracle Cloud Database Services). Included in Oracle’s converged database, Oracle Spatial Database allows developers and analysts to get started with location intelligence analytics and mapping services. It enables Geographic Information System (GIS) professionals to successfully deploy advanced geospatial applications. Additionally, Oracle’s converged knowledge base includes a graph directory that offers to eliminate the need to set up a separate database and move data. Users like analysts and developers can perform fraud detection in banking, find connections and links to data as well as improve traceability in smart manufacturing. Furthermore, Oracle’s database includes Graph Studio with one-click provisioning, security and integrated tools. The Graph Studio also automates graph data management and simplifies modelling, analysis and visualisation across the entire lifecycle of graph analytics.

Discover Azure Stream Analytics, the easy-to-use, real-time analytics service that is designed for mission-critical workloads. End-to-end analytics pipeline that is production-ready in minutes with familiar SQL syntax and extensible with JavaScript and C# custom code. Rapid scalability with the elastic capacity to build robust streaming data pipelines and analyze millions of events at subsecond latencies. Enterprise-grade reliability with built-in recovery and built-in machine learning capabilities for advanced scenarios.

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.