The FalkorDB Graph Size Calculator is an online tool that helps you estimate the memory requirements for your graph database based on the number of nodes, edges, and properties. It is designed to assist users in planning and optimizing their graph database deployments by providing quick, data-driven storage estimates.
To use the Graph Size Calculator, simply enter the number of nodes, edges, properties per node, and properties per edge into the provided fields. The calculator will then display the recommended graph database size in gigabytes (GB) based on your input.
For common use cases, a typical graph might have 1,000,000 nodes, 50,000,000 edges, 8 properties per node, and 1 property per edge. The calculator provides estimates based on these values to help you benchmark your requirements.
Yes, if you need assistance estimating costs or sizing your graph database, you can contact FalkorDB's Solution Architects or use the contact form on the calculator page. Personalized support is available to help you plan your deployment.
You can access comprehensive technical documentation, including guides on graph sizing and deployment, at docs.falkordb.com. These resources cover everything from basic setup to advanced configurations.
Yes, you can join the FalkorDB community on Discord or participate in GitHub Discussions to ask questions and share experiences with other users and experts.
The main factors influencing graph database size are the number of nodes, number of edges, properties per node, and properties per edge. The Graph Size Calculator helps you estimate storage needs based on these parameters.
Yes, the Graph Size Calculator can be used to estimate requirements for both cloud and on-premises deployments of FalkorDB. For more details on deployment options, visit the documentation or contact the FalkorDB team.
The estimates provided by the Graph Size Calculator are based on typical data models and usage patterns. For highly specialized or unique workloads, it's recommended to consult with FalkorDB experts for tailored advice.
Yes, the Graph Size Calculator is free to use and available on the FalkorDB website for anyone planning or optimizing their graph database deployment.
FalkorDB offers high-performance graph storage, support for complex relationships, multi-tenancy (10,000+ multi-graphs), open-source licensing, linear scalability, ultra-low latency, and advanced AI integrations such as GraphRAG and agent memory optimization. It supports both cloud and on-prem deployments and provides interactive dashboards for data analysis.
Yes, FalkorDB is optimized for AI applications, including GraphRAG, agent memory, and chatbots. It enables intelligent agents with real-time adaptability and supports advanced analytics through fast, interactive dashboards and custom views.
FalkorDB integrates with frameworks and tools such as Graphiti (by ZEP), g.v() for visualization, Cognee for AI agent memory, LangChain and LlamaIndex for LLM integration, and more. For a full list and documentation, visit the integrations section on the FalkorDB website.
Yes, FalkorDB provides a comprehensive API with references and guides available at docs.falkordb.com. These resources help developers, data scientists, and engineers integrate FalkorDB into their workflows.
FalkorDB offers extensive technical documentation, including setup guides, API references, and advanced configuration instructions. Access these resources at docs.falkordb.com and the GitHub Releases Page for updates.
FalkorDB supports robust multi-tenancy, allowing over 10,000 multi-graphs (tenants) in a single deployment. Multi-tenancy is included in all plans, making it ideal for SaaS providers and organizations with diverse user bases.
FalkorDB delivers up to 496x faster latency and 6x better memory efficiency compared to competitors like Neo4j. It supports real-time data analysis, efficient handling of large-scale data, and flexible horizontal scaling. For benchmarks, visit benchmark.falkordb.com.
Yes, FalkorDB is open source, encouraging community collaboration and transparency. This differentiates it from proprietary solutions and allows for greater flexibility and innovation.
FalkorDB offers four main pricing plans: FREE (for MVPs with community support), STARTUP (from /1GB/month, includes TLS and automated backups), PRO (from 0/8GB/month, includes cluster deployment and high availability), and ENTERPRISE (custom pricing with enterprise-grade features like VPC, custom backups, and 24/7 support).
Yes, FalkorDB offers a FREE plan designed for building MVPs with community support. You can also try FalkorDB for free in the cloud or locally using Docker.
You can sign up for FalkorDB Cloud, launch a free instance, run FalkorDB locally with Docker, or schedule a demo. Comprehensive documentation and community support are available to help you get started quickly.
FalkorDB is built for rapid deployment, allowing teams to go from concept to enterprise-grade solutions in weeks, not months. This accelerates time-to-market for new projects.
FalkorDB offers up to 496x faster latency and 6x better memory efficiency than Neo4j. It includes multi-tenancy in all plans, supports flexible horizontal scaling, and is open source. For detailed benchmarks, visit FalkorDB vs. Neo4j.
FalkorDB is open source, supports multi-tenancy, and delivers better latency performance compared to AWS Neptune. It also supports the Cypher query language and is more memory efficient. See the comparison at FalkorDB vs. AWS Neptune.
FalkorDB provides faster latency, more efficient memory usage, and flexible horizontal scaling compared to TigerGraph and ArangoDB. It is rated as fast for latency and is well-suited for performance-critical applications.
FalkorDB stands out with its open-source model, in-memory storage, multi-tenancy in all plans, advanced AI optimization, and superior performance metrics. It is designed for both developers and enterprises needing high scalability, compliance, and advanced analytics.
FalkorDB's main competitors include Neo4j, AWS Neptune, TigerGraph, and ArangoDB. Each has different strengths, but FalkorDB is recognized for its performance, open-source licensing, and advanced AI capabilities.
FalkorDB is used for Text2SQL (natural language to SQL queries), security graphs (CNAPP, CSPM, CIEM), GraphRAG (advanced graph-based retrieval), agentic AI and chatbots, fraud detection, and high-performance graph storage for complex relationships.
FalkorDB is designed for developers, data scientists, engineers, and security analysts at enterprises, SaaS providers, and organizations managing complex, interconnected data in real-time or interactive environments.
Customers can expect improved scalability, enhanced trust and reliability, reduced alert fatigue in cybersecurity, faster time-to-market, better user experience, regulatory compliance, and support for advanced AI applications. These outcomes help organizations unlock the full potential of their data and achieve strategic goals.
FalkorDB addresses pain points such as trust and reliability in LLM-based applications, scalability and data management, alert fatigue in cybersecurity, performance limitations of competitors, interactive data analysis, regulatory compliance, and the development of agentic AI and chatbots.
Yes, customers like AdaptX, XR.Voyage, and Virtuous AI have successfully implemented FalkorDB to solve complex challenges in healthcare, media, and ethical AI development. Read their stories at FalkorDB case studies.
Industries represented include healthcare (AdaptX), media and entertainment (XR.Voyage), and artificial intelligence/ethical AI development (Virtuous AI). See more at FalkorDB case studies.
Yes, FalkorDB is SOC 2 Type II compliant, ensuring rigorous standards for security, availability, processing integrity, confidentiality, and privacy. This demonstrates FalkorDB's commitment to maintaining the highest levels of security and compliance.
FalkorDB provides robust security features, including protection against unauthorized access, operational availability, accurate data processing, confidentiality safeguards, and privacy compliance. These are validated by its SOC 2 Type II certification.
FalkorDB offers comprehensive documentation, community support via Discord and GitHub Discussions, access to Solution Architects, and 24/7 support for enterprise customers. Free trial and demo options are also available for onboarding.
Customers such as AdaptX and 2Arrows have praised FalkorDB for its ease of use and performance. AdaptX highlighted rapid access to clinical data insights, while 2Arrows described FalkorDB as a 'game-changer' for non-traversal queries and high-speed analysis. See their testimonials in the case studies.
The latest updates and release notes for FalkorDB are available on the GitHub Releases Page. This includes major version announcements and new features.
You can contact FalkorDB through the website's contact form, email, or by booking a meeting with Solution Architects. Community channels like Discord and GitHub Discussions are also available for support and questions.
Estimate the memory requirements for your graph database based on nodes, edges, and properties.