Best Data Management Software for OrientDB

Hackolade is the pioneer for data modeling of NoSQL and multi-model databases, providing a comprehensive suite of data modeling tools for various NoSQL databases and APIs. Hackolade is the only data modeling tool for MongoDB, Neo4j, Cassandra, ArangoDB, BigQuery, Couchbase, Cosmos DB, Databricks, DocumentDB, DynamoDB, Elasticsearch, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, Firebase/Firestore, JanusGraph, MariaDB, MarkLogic, MySQL, Oracle, PostgreSQL, Redshift, ScyllaDB, Snowflake, SQL Server, Synapse, TinkerPop, YugabyteDB, etc. It also applies its visual design to Avro, JSON Schema, Parquet, Protobuf, Swagger and OpenAPI, and is rapidly adding new targets for its physical data modeling engine. The software is user-friendly and simple to use yet provides powerful visuals and graphic data modeling to smooth the onboarding of NoSQL technology. Its software tools help functional analysts, designers, architects, and DBAs involved with NoSQL technology achieve greater transparency and control, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise.

KgBase (or Knowledge Graph Base) is a robust, collaborative database that allows for versioning, analytics, visualizations, and visualizations. KgBase allows anyone to create knowledge graphs and gain insights about their data. You can import your CSVs or spreadsheets or use our API to collaborate on data. KgBase allows you to create no-code knowledge graphs. Our easy-to-use UI lets users navigate the graph and display the results in tables and charts. You can play with your graph data. You can build your query and watch the results change in real-time. It's similar to writing query code in Cypher and Gremlin, but much easier. It's also fast. You can view your graph as a table. This allows you to view all results, regardless of their size. KgBase is great for large graphs (millions) as well as simple projects. You can either use the cloud or self-hosted and have extensive database support. You can introduce graphs to your organization by seeding graphs from a template. Any query results can be easily converted into a chart visualization.

ArcadeDB allows you to manage complex models without any compromises. Polyglot Persistence is gone. There is no need to have multiple databases. ArcadeDB Multi-Model databases can store graphs and documents, key values, time series, and key values. Each model is native to the database engine so you don't need to worry about translations slowing down your computer. ArcadeDB's engine was developed with Alien Technology. It can crunch millions upon millions of records per second. ArcadeDB's traversing speed does not depend on the size of the database. It doesn't matter if your database contains a few records or a billion. ArcadeDB can be used as an embedded database on a single server. It can scale up by using Kubernetes to connect multiple servers. It is flexible enough to run on any platform that has a small footprint. Your data is protected. Our unbreakable fully transactional engine ensures durability for mission-critical production database databases. ArcadeDB uses the Raft Consensus Algorithm in order to maintain consistency across multiple servers.

Create graph visualization products that transform connected data into insight. JavaScript's flexibility and power allows you to quickly and easily create graph visualization applications that can go anywhere. KeyLines allows you to create graph visualization applications in a flexible way. Create interactive graph visualization tools that reveal hidden insights and threats. KeyLines JavaScript graph visual toolkit allows you to create applications that are tailored for your users, your data and the questions you need. It works with any browser, device or server and includes clear tutorials, demos and API documentation. With our developer support, you will quickly discover network insight. KeyLines makes it easy for you to create high-performance JavaScript graph visualization tools which work anywhere. They use HTML5 and WebGL graphics rendering, and carefully crafted code to provide users with quick and insightful visualization.

React graph visualization products can transform connected data into insight. ReGraph's data-driven API makes it easy to add graph visualizations into your React applications. Your users can get high-performance graph visualizations that are custom made, no matter where they are. ReGraph is a simple and easy coding experience for React developers. It features familiar logic, simple state handling, and well-documented Props. You can control where your data is stored and how the component behaves. It can be used in any browser on any device and integrates easily with any server or database. It allows you to create a custom React graph visualization app. ReGraph makes it easy for you to create powerful React graph visualization apps. Everything has been optimized for performance, right from the layout algorithms to the supercharged graphics rendering engine.

BigBI allows data specialists to create their own powerful Big Data pipelines interactively and efficiently, without coding! BigBI unleashes Apache Spark's power, enabling: Scalable processing of Big Data (upto 100X faster). Integration of traditional data (SQL and batch files) with new data Sources include semi-structured data (JSON, NoSQL DBs and Hadoop) as well as unstructured data (text, audio, video). Integration of streaming data and cloud data, AI/ML graphs & graphs

Tom Sawyer Perspectives provides a robust platform to build enterprise-class graph, data visualization and analysis apps. It is a complete graph visual software development kit (SDK), with a graphics-based design environment and preview environment. The platform integrates enterprise data sources and 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. The Designer and Previewer graphic modules are used to create applications that visualize and analyze the data that drives each project. Developers can use the Designer to extract schema, data sources and bindings, view filters, filters, searches, rules, views, filters and rules. The Designer can also be used to create custom toolbars and tooltips, context menus and graphical editing and viewing behaviors.