Alternatives to Katana Graph
Compare Katana Graph alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Katana Graph in 2026. Compare features, ratings, user reviews, pricing, and more from Katana Graph competitors and alternatives in order to make an informed decision for your business.
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Minitab Statistical Software
Minitab
For 50 years, Minitab has helped thousands of companies and institutions spot trends, solve problems, and discover valuable insights in their data through our comprehensive, best-in-class suite of data analysis and process improvement tools. Our namesake product, Minitab Statistical Software, leads the way in data analysis with the power to visualize, analyze and harness your data to gain insights and solve your toughest challenges. Access trusted, proven and modern analytics combined with dynamic visualizations to empower you and your decisions. The latest version of Minitab Statistical Software includes access to Minitab on the cloud so you can analyze from anywhere, and Graph Builder, our new interactive tool to instantly create multiple graph options at once. Minitab offers modules for Predictive Analytics and Healthcare to boost your analytics even further. Available in 8 languages: English, Chinese, French, German, Japanese, Korean, Spanish, and Portuguese. -
2
AllegroGraph
Franz Inc.
AllegroGraph is a breakthrough solution that allows infinite data integration through a patented approach unifying all data and siloed knowledge into an Entity-Event Knowledge Graph solution that can support massive big data analytics. AllegroGraph utilizes unique federated sharding capabilities that drive 360-degree insights and enable complex reasoning across a distributed Knowledge Graph. AllegroGraph provides users with an integrated version of Gruff, a unique browser-based graph visualization software tool for exploring and discovering connections within enterprise Knowledge Graphs. Franz’s Knowledge Graph Solution includes both technology and services for building industrial strength Entity-Event Knowledge Graphs based on best-of-class tools, products, knowledge, skills and experience. -
3
AnzoGraph DB
Cambridge Semantics
With a huge collection of analytical features, AnzoGraph DB can enhance your analytical framework. Watch this video to learn how AnzoGraph DB is a Massively Parallel Processing (MPP) native graph database that is built for data harmonization and analytics. Horizontally scalable graph database built for online analytics and data harmonization. Take on data harmonization and linked data challenges with AnzoGraph DB, a market-leading analytical graph database. AnzoGraph DB provides industrialized online performance for enterprise-scale graph applications. AnzoGraph DB uses familiar SPARQL*/OWL for semantic graphs but also supports Labeled Property Graphs (LPGs). Access to many analytical, machine learning and data science capabilities help you achieve new insights, delivered at unparalleled speed and scale. Use context and relationships between data as first-class citizens in your analysis. Ultra-fast data loading and analytical queries. -
4
ReGraph
Cambridge Intelligence
Build game-changing React graph visualization products that turn connected data into insight. With ReGraph’s simple data-driven API, it’s quick and easy to add graph visualizations to your React applications. Ship custom, high-performance graph visualization to your users, wherever they are. For React developers, ReGraph offers a simple and clean coding experience. It has familiar logic, easy state handling, and well-documented props. You can choose where your data is stored, and how the component looks and behaves. It works in any browser, on any device, and integrates readily with any server or database. It’s a completely flexible way to build a custom React graph visualization application. ReGraph makes it easy to build powerful React graph visualization applications. Everything has been carefully optimized for performance, from its layout algorithms to its supercharged graphics rendering engine. -
5
KeyLines
Cambridge Intelligence
Build game-changing graph visualization products that turn connected data into insight. Harness JavaScript’s power and flexibility to quickly and easily build graph visualization applications that can be deployed anywhere, to anyone. KeyLines is a completely flexible way to build your graph visualization application. Build interactive graph visualization tools to reveal threats and hidden insight. The KeyLines JavaScript graph visualization toolkit lets you build applications specifically for your users, your data, and the questions you need to answer. It fits with any browser, device, server, or database and comes with clear tutorials, demos, and API documentation. Combined with our developer support, you’ll be uncovering network insight in no time. KeyLines makes it easy to build high-performance JavaScript graph visualization tools that work anywhere. They harness HTML5 and WebGL graphics rendering and thoughtfully crafted code to give users fast and insightful visualization. -
6
InfiniteGraph
Objectivity
InfiniteGraph is a massively scalable graph database specifically designed to excel at high-speed ingest of massive volumes of data (billions of nodes and edges per hour) while supporting complex queries. InfiniteGraph can seamlessly distribute connected graph data across a global enterprise. InfiniteGraph is a schema-based graph database that supports highly complex data models. It also has an advanced schema evolution capability that allows you to modify and evolve the schema of an existing database. InfiniteGraph’s Placement Management Capability allows you to optimize the placement of data items resulting in tremendous performance improvements in both query and ingest. InfiniteGraph has client-side caching which caches frequently used node and edges. InfiniteGraph's DO query language enables complex "beyond graph" queries not supported by other query languages. -
7
Graphlytic
Demtec
Graphlytic is a customizable web platform for knowledge graph visualization and analysis. Users can interactively explore the graph, look for patterns with the Cypher or Gremlin query languages (or query templates for non-tech users), or use filters to find the answers to any graph question. The graph visualization brings deep insights in industries, such as scientific research, anti-fraud investigation, etc. Users with very little graph theory knowledge can start to explore the data in no time. Graph rendering is done with the Cytoscape.js library which allows us to render tens of thousands of nodes and hundreds of thousands of relationships. The application is provided in three ways: Desktop, Cloud, and Server. Graphlytic Desktop is a free Neo4j Desktop application installed in just a few clicks. Cloud instances are ideal for small teams that don't want to worry about the installation and need to get up and running in very little time.Starting Price: 19 EUR/month -
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TigerGraph
TigerGraph
Through its Native Parallel Graph™ technology, the TigerGraph™ graph platform represents what’s next in the graph database evolution: a complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time. Combining the best ideas (MapReduce, Massively Parallel Processing, and fast data compression/decompression) with fresh development, TigerGraph delivers what you’ve been waiting for: the speed, scalability, and deep exploration/querying capability to extract more business value from your data. -
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GraphDB
Ontotext
*GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.* GraphDB is a highly efficient and robust graph database with RDF and SPARQL support. The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section. GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle). -
10
CoPlot
CoHort Software
CoPlot Version 6.45 is an incredibly versatile program for making publication-quality 2D and 3D scientific graphs (which plot data and equations), maps, and technical drawings. Every aspect of CoPlot has been designed around one basic goal: to make a program that is so versatile that scientists and engineers can easily get exactly what they want. CoPlot includes CoStat for data handling and statistics. Create precise technical drawings with CoPlot's versatile drawing objects. CoPlot is ideal for creating genetic maps, field maps, flow charts, apparatus diagrams, circuit diagrams, chemical structures, etc. See the sample drawings.The text in drawing objects and graphs can include HTML-like text formatting tags and over 1000 special characters. Make great scientific graphs and maps. CoPlot has seven basic types of graphs, over 40 ways of plotting data, 18 ways to plot equations, incredibly flexible attributes, asymmetric and horizontal error bars, 12 different axis types, etc.Starting Price: $280 one-time payment -
11
Oracle Spatial and Graph
Oracle
Graph databases, part of Oracle’s converged database offering, eliminate the need to set up a separate database and move data. Analysts and developers can perform fraud detection in banking, find connections and link to data, and improve traceability in smart manufacturing, all while gaining enterprise-grade security, ease of data ingestion, and strong support for data workloads. Oracle Autonomous Database includes Graph Studio, with one-click provisioning, integrated tooling, and security. Graph Studio automates graph data management and simplifies modeling, analysis, and visualization across the graph analytics lifecycle. Oracle provides support for both property and RDF knowledge graphs, and simplifies the process of modeling relational data as graph structures. Interactive graph queries can run directly on graph data or in a high-performance in-memory graph server. -
12
NodeXL
Social Media Research Foundation
NodeXL is a template for Microsoft® Excel® (2007, 2010, 2013 and 2016) on Windows (XP, Vista, 7, 8, 10) that lets you enter a network edge list into a workbook, click a button, see a network graph, and get a detailed summary report, all in the familiar environment of the Excel® spreadsheet application. Customize the network graph's appearance. Zoom, scale and pan the graph. Calculate basic graph metrics. Dynamically filter vertices and edges. Alter the graph's layout. Find clusters of related vertices. The NodeXL Pro application can be licensed for a 12 month period, adding additional features. Calculate advanced graph metrics. Import and export graphs to a variety of file formats. Get social networks using built-in connections to Twitter, Facebook, Flickr, YouTube, Wikis, Blogs, Instagram, Network Surveys, and email. Automate network graph collection and creation. If you use Excel® on Windows you can download and use NodeXL Basic now. Or license NodeXL Pro for additional features.Starting Price: $749 per year -
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Neo4j
Neo4j
Neo4j’s graph data platform is purpose-built to leverage not only data but also data relationships. Using Neo4j, developers build intelligent applications that traverse today's large, interconnected datasets in real time. Powered by a native graph storage and processing engine, Neo4j’s graph database delivers an intuitive, flexible and secure database for unique, actionable insights. -
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Automatic Grapher
Dataview Software
Automatic Grapher is database software that automatically generates graphs for all your data. Easily import your data from Microsoft Excel and generate 8 different types of graphs. No database experience is required to develop and maintain new databases. Once data has been imported to the database you can instantly generate statistics, graphs and reports. With a click of the button, you can instantly create graphs to jpg, word or pdf files. Save valuable time compared to using Microsoft Excel and Access to create and update your graphs. Complete data management solution that is simple to use. Organize data from different sources and easily import using one of several different methods using Excel spreadsheets. Improve data quality by checking data for outliers or errors then analyze using statistics and graphs. Export results to pdf, jpg, or Excel files. Manage unlimited databases for different projects. Improve your data management using Automatic Grapher!Starting Price: $99 per license -
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JSON Viewer
JSONViewer.tools
jsonviewer.tools — a powerful and interactive JSON visualization platform that helps users easily view, analyze, and explore complex JSON data. Graph & Tree Visualization – Interactive 2D and compact graph modes with zoom, pan, and hover link visualization. Table View for CSV – Upload CSV files and view them in a clean, sortable table format. 3D Visualization – External 3D JSON graph visualization option. File Support – Upload and visualize JSON, CSV, and YAML files. Interactive Graph Export – Double-click any JSON key to generate a graph for that key and export it as PNG. Direction Control – Change the graph direction (horizontal/vertical). Theme Customization – Switch between light/dark or custom color themes. Comparison Tool – Compare two JSON files side by side. Dummy JSON Generator – Quickly generate sample JSON for testing or demo use.Starting Price: $1.99/month -
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SigmaPlot
Systat Software
With an award-winning interface and intuitive wizard technology that guides users step-by-step through the graph creation and data analysis process, SigmaPlot provides the flexibility to create compelling graphs and statistical analysis you simply can’t achieve with basic spreadsheet software. With the new Graph Properties user interface you can select the property category in the tree on the left and then change properties on the right. The change is immediately graphed and if you move your cursor off the panel then it becomes transparent and you can see the effect of your changes without leaving the panel. The “select left and change right” procedure makes editing your graphs quick and easy. SigmaPlot takes you beyond simple spreadsheets to help you show off your work clearly and precisely. With SigmaPlot, you can produce high-quality graphs without spending hours in front of a computer. SigmaPlot offers seamless Microsoft Office® integration, so you can easily access data.Starting Price: $399.00/one-time/user -
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PuppyGraph
PuppyGraph
PuppyGraph empowers you to seamlessly query one or multiple data stores as a unified graph model. Graph databases are expensive, take months to set up, and need a dedicated team. Traditional graph databases can take hours to run multi-hop queries and struggle beyond 100GB of data. A separate graph database complicates your architecture with brittle ETLs and inflates your total cost of ownership (TCO). Connect to any data source anywhere. Cross-cloud and cross-region graph analytics. No complex ETLs or data replication is required. PuppyGraph enables you to query your data as a graph by directly connecting to your data warehouses and lakes. This eliminates the need to build and maintain time-consuming ETL pipelines needed with a traditional graph database setup. No more waiting for data and failed ETL processes. PuppyGraph eradicates graph scalability issues by separating computation and storage.Starting Price: Free -
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JanusGraph
JanusGraph
JanusGraph is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is a project under The Linux Foundation, and includes participants from Expero, Google, GRAKN.AI, Hortonworks, IBM and Amazon. Elastic and linear scalability for a growing data and user base. Data distribution and replication for performance and fault tolerance. Multi-datacenter high availability and hot backups. All functionality is totally free. No need to buy commercial licenses. JanusGraph is fully open source under the Apache 2 license. JanusGraph is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. Support for ACID and eventual consistency. In addition to online transactional processing (OLTP), JanusGraph supports global graph analytics (OLAP) with its Apache Spark integration. -
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Apache TinkerPop
Apache Software Foundation
Apache TinkerPop™ is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP). Gremlin is the graph traversal language of Apache TinkerPop. Gremlin is a functional, data-flow language that enables users to succinctly express complex traversals on (or queries of) their application's property graph. Every Gremlin traversal is composed of a sequence of (potentially nested) steps. A graph is a structure composed of vertices and edges. Both vertices and edges can have an arbitrary number of key/value pairs called properties. Vertices denote discrete objects such as a person, a place, or an event. Edges denote relationships between vertices. For instance, a person may know another person, have been involved in an event, and/or have recently been at a particular place. If a user's domain is composed of a heterogeneous set of objects (vertices) that can be related to one another in a multitude of ways (edges).Starting Price: Free -
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Amazon Neptune
Amazon
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Proactively detect and investigate IT infrastructure using a layered security approach. Visualize all infrastructure to plan, predict and mitigate risk. Build graph queries for near-real-time identity fraud pattern detection in financial and purchase transactions. -
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Apache Giraph
Apache Software Foundation
Apache Giraph is an iterative graph processing system built for high scalability. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections. Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google and described in a 2010 paper. Both systems are inspired by the Bulk Synchronous Parallel model of distributed computation introduced by Leslie Valiant. Giraph adds several features beyond the basic Pregel model, including master computation, sharded aggregators, edge-oriented input, out-of-core computation, and more. With a steady development cycle and a growing community of users worldwide, Giraph is a natural choice for unleashing the potential of structured datasets at a massive scale. Apache Giraph is an iterative graph processing framework, built on top of Apache Hadoop. -
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Centrifuge Analytics
Culmen Internal LLC
Centrifuge Analytics™ is a big data discovery technology that provides the power and flexibility to connect, visualize and collaborate without complex data integration, costly services or a data science degree. It combines sophisticated link-analysis, interactive visualizations and discovery features to dramatically simplify data pattern and connection recognition. - First and foremost, a fully integrated solution that empowers analysts to work with no IT support - Sophisticated link-analysis features such as pattern Identification, intelligent bundling and various unique visual interactive features - 100% Browser footprint ensures no client-side data retention that simplifies security and client administration Patent-pending server-side rendering engine enables highly scalable network graphs Agile data integration – No need to stage, warehouse or apply a fixed ontology Model-based analytics – Setup once and reuse – build upon the experience of more seasoned analystsStarting Price: Call -
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KgBase
KgBase
KgBase, or Knowledge Graph Base, is a collaborative, robust database with versioning, analytics & visualizations. With KgBase, any community or individual can create knowledge graphs to build insights about their data. Import your CSVs and spreadsheets, or use our API to work on data together. Build no-code knowledge graphs with KgBase, our easy-to-use UI lets you traverse the graph, show the results as tables and charts, and much more. Play with your graph data. Build your query and see results update in real time. It's like writing query code in Cypher or Gremlin, except easier. And fast. Your graph can be viewed as a table, allowing you to browse all results - no matter the size. KgBase works great with large graphs (millions of nodes), as well as simple projects. In the cloud, or self-hosted, with wide database support. Introduce graphs into your organization by seeding graph from a template. Results of any query can be easily turned into a chart visualization.Starting Price: $19 per month -
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Microsoft Graph
Microsoft
Microsoft Graph is the gateway to data and intelligence in Microsoft 365. It provides a unified programmability model that you can use to access the tremendous amount of data in Microsoft 365, Windows, and Enterprise Mobility + Security. Use the wealth of data in Microsoft Graph to build apps for organizations and consumers that interact with millions of users. What's in Microsoft Graph? Microsoft Graph exposes REST APIs and client libraries to access data on the following Microsoft cloud services: - Microsoft 365 core services: Bookings, Calendar, Delve, Excel, Microsoft 365 compliance eDiscovery, Microsoft Search, OneDrive, OneNote, Outlook/Exchange, People (contacts), Planner, SharePoint, Teams, To Do, Viva Insights - Enterprise Mobility + Security services: Advanced Threat Analytics, Advanced Threat Protection, Azure Active Directory, Identity Manager, and Intune - Windows services: activities, devices, notifications, Universal Print - Dynamics 365 Business Central -
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Locstat
Locstat
Locstat is a graph intelligence platform with customer-driven industry and point solutions, incorporating graph-based AI, analytics and event processing, that enables organizations to rapidly scale next-generation data solutions. Research shows that by adopting innovative, AI-supported digitalization strategies an organization can realize considerable benefits and gains. We have achieved great success in improving customer efficiencies and delivered significant ROI as measured by us and confirmed by research companies. This illustrates the value of next-generation advanced analytics technologies in solving today’s complex problems more cost-effectively than solutions driven by relational databases. -
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StepZen
StepZen
StepZen provides a unique low code approach to creating GraphQL APIs for any data source—REST, SQL, NoSQL, SOAP/XML, and GraphQL. With one command, you can specify your backend; StepZen introspects it and generates the schema for you. Then, with a few lines of code and powerful directives (@rest, @dbquery), you can quickly customize a schema—or write one from scratch. Another directive (@materializer) lets you stitch graphs together, seamlessly scaling GraphQL across teams and domains. In addition, by using @materializer, you avoid managing concerns across subgraphs, writing stubs of types, and other complexities. Whether you deploy a single graph or a federated graph-of-graphs, with one command, you deploy it to StepZen's highly available cloud. Automatic parallelized execution, security and control of your APIs and data, and performance and reliability optimizations are built-in. So we keep your GraphQL infrastructure secure and stable so you can focus on your business.Starting Price: Free -
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G.V() Gremlin IDE
gdotv Ltd
G.V() is an all-in-one Gremlin IDE to write, debug, test and analyze results for your Gremlin graph database. It offers rich a UI with smart autocomplete, graph visualization, editing and connection management. G.V() automatically detects your connection setting requirements based on the hostname you provide and prompts you for the next required information for an easy onboarding experience, regardless of which Gremlin database you're using. Load, visualize and draw your graph in true “What You See Is What You Get” fashion to build, test, visualize and query your data easily. Learn Gremlin with the embedded documentation and G.V()'s in-memory graph. View your Gremlin query results in various formats allowing to test, navigate and understand your query results rapidly. Compatible with all major Apache TinkerPop enabled Graph Database Providers: Amazon Neptune, Azure Cosmos DB’s Gremlin API, DataStax Enterprise Graph, JanusGraph, ArcadeDB, Aliyun TairForGraph and Gremlin Server. -
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Nebula Graph
vesoft
The graph database built for super large-scale graphs with milliseconds of latency. We are continuing to collaborate with the community to prepare, popularize and promote the graph database. Nebula Graph only allows authenticated access via role-based access control. Nebula Graph supports multiple storage engine types and the query language can be extended to support new algorithms. Nebula Graph provides low latency read and write , while still maintaining high throughput to simplify the most complex data sets. With a shared-nothing distributed architecture , Nebula Graph offers linear scalability. Nebula Graph's SQL-like query language is easy to understand and powerful enough to meet complex business needs. With horizontal scalability and a snapshot feature, Nebula Graph guarantees high availability even in case of failures. Large Internet companies like JD, Meituan, and Xiaohongshu have deployed Nebula Graph in production environments. -
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Tengu
Tengu
TENGU is a DataOps Orchestration Platform that works as a central workspace for data profiles of all levels. It provides data integration, extraction, transformation, loading all within it’s graph view UI in which you can intuitively monitor your data environment. By using the platform, business, analytics & data teams need fewer meetings and service tickets to collect data, and can start right away with the data relevant to furthering the company. The Platform offers a unique graph view in which every element is automatically generated with all available info based on metadata. While allowing you to perform all necessary actions from the same workspace. Enhance collaboration and efficiency, with the ability to quickly add and share comments, documentation, tags, groups. The platform enables anyone to get straight to the data with self-service. Thanks to the many automations and low to no-code functionalities and built-in assistant. -
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GraphBase
FactNexus
GraphBase is a Graph Database Management System (Graph DBMS) engineered to simplify the creation and maintenance of complex data graphs. Complex and highly-connected structures are a challenge for the Relational Database Management System (RDBMS). A graph database provides much better modelling utility, performance and scalability. The current crop of graph database products - the triplestores and property graphs - have been around for nearly two decades. They're powerful tools, they have many uses, but they're still not suited to the management of complex data structures. With GraphBase, our goal was to simplify the management of complex data structures, so that your data could become something more. It could become Knowledge. We achieved this by redefining how graph data should be managed. In GraphBase, the graph is a first-class citizen. You get a graph equivalent of the "rows and tables" paradigm that makes a Relational Database so easy to use. -
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TIBCO Graph Database
TIBCO
To unveil the true value of constantly evolving business data, you need to understand the relationships in data in a much more profound way. Unlike other databases, a graph database puts relationships at the forefront, using Graph theory and Linear Algebra to traverse and show how complex data webs, data sources, and data points relate. TIBCO® Graph Database allows you to discover, store, and convert complex dynamic data into meaningful insights. Enable users to rapidly build data and computational models that establish dynamic relationships among organizational silos. These knowledge graphs deliver value by connecting your organization’s vast array of data and revealing relationships that let you accelerate optimization of assets and processes. Combined OLTP and OLAP features in a single enterprise-grade database. Optimistic ACID level transaction properties with native storage and access. -
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SmokePing
SmokePing
SmokePing is a deluxe latency measurement tool. It can measure, store and display latency, latency distribution, and packet loss. SmokePing uses RRDtool to maintain a long-term data store and to draw pretty graphs, giving up-to-the-minute information on the state of each network connection. Click on any graph in detail mode and use the mouse to mark your area of interest in the navigator graph. Show information from multiple targets in a graph. With one central Smokeping Master node, you can run a series of Slave nodes, taking their configuration from the master. This allows you to ping a single target from multiple locations. The standard deviation is now used in several places to give a number for the variation in round trip times as depicted by the smoke. Wide variety of probes, ranging from simple ping to web requests and custom protocols. Master/slave deployment model to run measurements from multiple sources in parallel.Starting Price: Free -
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HugeGraph
HugeGraph
HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Apache TinkerPop 3 framework, various complicated graph queries can be accomplished through Gremlin (a powerful graph traversal language). Among its features, it provides compliance to Apache TinkerPop 3, supporting Gremlin. Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel. Multi-type Indexes, supporting exact query, range query and complex conditions combination query. Plug-in Backend Store Driver Framework, supporting RocksDB, Cassandra, ScyllaDB, HBase and MySQL now and easy to add other backend store driver if needed. Integration with Hadoop/Spark. HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax. -
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Tom Sawyer Perspectives
Tom Sawyer Software
Tom Sawyer Perspectives is a robust platform for building enterprise-class graph and data visualization and analysis applications. It is a complete graph visualization software development kit (SDK) with a graphics-based design and preview environment. The platform integrates enterprise data sources with our powerful graph visualization, layout, and analysis technology to solve big data problems. Tom Sawyer Perspectives enables developers to quickly develop production-quality data-oriented visualization applications. Two graphic modules—the Designer and Previewer—are used to build applications to visualize and analyze the specific data that drives each project. Using the Designer, developers extract or define schema, data sources, bindings, rules, views, filters, and searches. Additionally, they can also use the Designer to specify custom toolbars, tooltips, context menus, and graphical viewing and editing behaviors. -
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Graph Engine
Microsoft
Graph Engine (GE) is a distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine. The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set. The capability of fast data exploration and distributed parallel computing makes GE a natural large graph processing platform. GE supports both low-latency online query processing and high-throughput offline analytics on billion-node large graphs. Schema does matter when we need to process data efficiently. Strongly-typed data modeling is crucial for compact data storage, fast data access, and clear data semantics. GE is good at managing billions of run-time objects of varied sizes. One byte counts as the number of objects goes large. GE provides fast memory allocation and reallocation with high memory ratios. -
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Galaxy Modeler
Ideamerit
Galaxy Modeler is a schema design tool for GraphQL data modeling. Draw diagrams, add notes, captions to the diagrams, import existing schema structures and generate reports or schema creation scripts. Supported platforms: - GraphQL Key features: - Data modeling and schema design - Visualization of GraphQL schemas - Import from URL - Generation of interactive HTML reports - Generation of schema creation scripts - Various themes and styles for reports - Multiple display modes - Support for sub-diagramsStarting Price: $99 -
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metaphactory
metaphacts
metaphactory transforms your data into consumable, contextual & actionable knowledge and drives continuous decision intelligence. Out-of-the-box, intuitive interfaces for searching, browsing & exploring your Knowledge Graph. Low-code approach to building custom interfaces that enable business-user interaction with the Knowledge Graph. Start small, iterate often & add new use cases, new data and new users on the fly. Agile knowledge management & low-code platform for building applications. -
38
Shapelets
Shapelets
Powerful computing at your fingertips. Parallel computing, groundbreaking algorithms, so what are you waiting for? Designed to empower data scientists in business. Get the fastest computing in an all-inclusive time-series platform. Shapelets provides you with analytical features such as causality, discords and motif discovery, forecasting, clustering, etc. Run, extend and integrate your own algorithms into the Shapelets platform to make the most of Big Data analysis. Shapelets integrates seamlessly with any data collection and storage solution. It also integrates with MS Office and any other visualization tool to simplify and share insights without any technical acumen. Our UI works with the server to bring you interactive visualizations. You can make the most of your metadata and represent it in the many different visual graphs provided by our modern interface. Shapelets enables users from the oil, gas, and energy industry to perform real-time analysis of operational data. -
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GraphAware
GraphAware
GraphAware offers Hume, a connected data analytics and intelligence analysis platform powered by graph technology that transforms siloed structured and unstructured data into an interconnected network for deeper insight and decision-making. At its core, Hume uses knowledge graph and graph database principles to ingest, unify, and represent data as networks of nodes and relationships, enabling analysts and data scientists to intuitively navigate, query, and visualize multi-hop connections and hidden patterns without needing to learn complex query languages. It delivers a single view of truth across disparate data sources, accelerates discovery of hidden relationships and behavior patterns, and supports advanced graph data science, including node influence analysis, link prediction, community detection, and automated alerting through integrated machine learning and large language model (LLM) features. -
40
Mastech InfoTrellis
Mastech Infotrellis
Mastech InfoTrellis is a specialist in Digital Transformation solutions and enables enterprises to discover business-relevant insights through Enterprise Knowledge Graphs. With tools and techniques like Ontologies, Machine Intelligence, we help enterprises bring data to life and absorb intricate business objects in an easily comprehensible arrangement. -
41
Apollo GraphOS
Apollo GraphQL
Apollo GraphOS is an API orchestration platform designed to help teams build, scale, and manage a unified supergraph across any number of services and applications. It brings together a secure, high-performance runtime layer with a centralized cloud management plane for seamless collaboration. Developers can unify REST APIs using Apollo Connectors, making it easy to migrate or integrate systems into GraphQL Federation. The GraphOS Router provides real-time capabilities, advanced caching, policy enforcement, and observability for large, distributed architectures. GraphOS Studio further enhances workflows with schema collaboration, CI/CD integration, and tooling that accelerates development. With flexible hosting options, GraphOS simplifies the delivery of modern, scalable GraphQL experiences.Starting Price: $49 per month -
42
Substrate
Substrate
Substrate is the platform for agentic AI. Elegant abstractions and high-performance components, optimized models, vector database, code interpreter, and model router. Substrate is the only compute engine designed to run multi-step AI workloads. Describe your task by connecting components and let Substrate run it as fast as possible. We analyze your workload as a directed acyclic graph and optimize the graph, for example, merging nodes that can be run in a batch. The Substrate inference engine automatically schedules your workflow graph with optimized parallelism, reducing the complexity of chaining multiple inference APIs. No more async programming, just connect nodes and let Substrate parallelize your workload. Our infrastructure guarantees your entire workload runs in the same cluster, often on the same machine. You won’t spend fractions of a second per task on unnecessary data roundtrips and cross-region HTTP transport.Starting Price: $30 per month -
43
MotorGraph
TRL Software
MotorGraph has been developed by TRL to provide managers and operators with timely and relevant information about the network. The technologies used to aid efficient operation of the road network include the Motorway Incident Detection and Automatic Signalling (MIDAS) system and Managed Motorways. MotorGraph is a key tool in assessing the performance of these systems. MotorGraph provides plots for all major stretches of motorway across England that have traffic detection and signalling installed. This unique facility provides all available real-time and historic data in one place, allowing users to access and interpret information about all systems on instrumented motorways. The live and historic information provided by MotorGraph allows licenced users to assess and track operational performance of control systems on motorways; monitor live and historic traffic patterns; optimise traffic control systems and identify sources and causes of congestion. -
44
RecallGraph
RecallGraph
RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, letting the user query any past state of the graph just as easily as the present. RecallGraph is a potential fit for scenarios where data is best represented as a network of vertices and edges (i.e., a graph) having the following characteristics: 1. Both vertices and edges can hold properties in the form of attribute/value pairs (equivalent to JSON objects). 2. Documents (vertices/edges) mutate within their lifespan (both in their individual attributes/values and in their relations with each other). 3. Past states of documents are as important as their present, necessitating retention and queryability of their change history. Also see this blog post for an intro - https://blog.recallgraph.tech/never-lose-your-old-data-again. -
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WunderGraph Cosmo
WunderGraph
WunderGraph is an open source, next-generation API platform designed to unify, manage, and accelerate how developers compose, integrate, and serve APIs from diverse backends (such as REST, gRPC, Kafka, and GraphQL) into a single, type-safe, high-performance API surface that modern applications can consume. It includes Cosmo, a full lifecycle API management solution for federated GraphQL that provides schema registry, composition checks, routing, analytics, metrics, tracing, and observability, all manageable via code in your existing development workflows rather than separate dashboards. WunderGraph lets teams define how multiple services should be composed into one API, automatically generate type-safe client libraries, and handle authentication, authorization, and API calls with built-in tooling that fits into CI/CD and Git-centric processes.Starting Price: $499 per month -
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NeuroIntelligence
ALYUDA
NeuroIntelligence is a neural networks software application designed to assist neural network, data mining, pattern recognition, and predictive modeling experts in solving real-world problems. NeuroIntelligence features only proven neural network modeling algorithms and neural net techniques; software is fast and easy-to-use. Visualized architecture search, neural network training and testing. Neural network architecture search, fitness bars, network training graphs comparison. Training graphs, dataset error, network error, weights and errors distribution, neural network input importance. Testing, actual vs. output graph, scatter plot, response graph, ROC curve, confusion matrix. The interface of NeuroIntelligence is optimized to solve data mining, forecasting, classification and pattern recognition problems. You can create a better solution much faster using the tool's easy-to-use GUI and unique time-saving capabilities.Starting Price: $497 per user -
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Golden
Golden
The world is lacking a decentralized graph of canonical knowledge that is open, free, and permissionless, and incentivizes agents to enter data into the graph. Our vision is to create a protocol that maps the 10 billion entities that exist and the public knowledge that surrounds them. Triples, also known as fact triples or SPO triples, are the elemental building blocks of facts that link entities together forming a graph. They are the atoms that build the universe of knowledge as we know it. The protocol supports a rich set of triples types, qualifiers, and associated evidence. The triple graph can be used to power Dapps and services that require fundamental knowledge. Each agent can submit triples to be validated, and, if accepted, will be rewarded tokens. Validators and predictions from the knowledge graph itself decide if triples are accepted. In essence, the protocol incentivizes the knowledge graph construction while defending against gaming attacks. -
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Lumenn AI
Lumenn AI
Lumenn AI provides a no-code environment for non-technical employees to extract and leverage enterprise data. Through natural language instructions, complex data is transformed into accessible visual graphs with AI-driven insights. Customizable dashboards empower any user to create, manage, and share BI assets. -
49
FalkorDB
FalkorDB
FalkorDB is an ultra-fast, multi-tenant graph database optimized for GraphRAG, delivering accurate, relevant AI/ML results with reduced hallucinations and enhanced performance. It leverages sparse matrix representations and linear algebra to efficiently handle complex, interconnected data in real-time, resulting in fewer hallucinations and more accurate responses from large language models. FalkorDB supports the OpenCypher query language with proprietary enhancements, enabling expressive and efficient querying of graph data. It offers built-in vector indexing and full-text search capabilities, allowing for complex searches and similarity matching within the same database environment. FalkorDB's architecture includes multi-graph support, enabling multiple isolated graphs within a single instance, ensuring security and performance across tenants. It also provides high availability with live replication, ensuring data is always accessible. -
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GraphQL
The GraphQL Foundation
GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools. Send a GraphQL query to your API and get exactly what you need, nothing more and nothing less. GraphQL queries always return predictable results. Apps using GraphQL are fast and stable because they control the data they get, not the server. GraphQL queries access not just the properties of one resource but also smoothly follow references between them. While typical REST APIs require loading from multiple URLs, GraphQL APIs get all the data your app needs in a single request. Apps using GraphQL can be quick even on slow mobile network connections.
