Top Neo4j Graph Database Alternatives and Competitors
Looking to upgrade or change your solution? Take away the guesswork and stay informed with end user feedback to identify and select the solution that best matches your needs.
Centered around the leading graph database, today's Neo4j Graph Data Platform is a suite of applications and tools helping the world make sense of data. The Platform includes Neo4j Graph Data Science – the leading enterprise-ready analytics workspace for graph data – the graph visualization and exploration tool Bloom, the Cypher query language, and numerous tools, integrations and connectors to help developers and data scientists build graph-based solutions with ease.
Common Features
Analytics and Reporting | Data Virtualization | Big Data Analytics | Data Management | Operations Management | Data Protection and Security | Data Monitoring and Administration | Data Backup | Data Replication | Database Management | Systems Performance Management | Cloud/On-Prem/Hybrid Deployment | Distributed Processing | High Availability | High Speed & Online Transaction Processing | Hybrid Transaction and Analytical Support
7.8
Composite
Score
+95
Emotional
Footprint
11
Reviews
Best Alternatives and Competitors to Neo4j Graph Database
Compare how Neo4j Graph Database stacks up to the competition in the areas that matter most to real users to short list options that will best fit your business needs.
Oracle
Oracle Database
9.0
Composite
Score
+94
Emotional
Footprint
81
Reviews
Reviews Say
Compared to Neo4j Graph Database, Oracle Database is:
Better at Support
Less Efficient
Less Transparent
Worse at Training
Less Inspiring
Harder to Use
Oracle’s Database management capabilities make DBA lives easier by providing a full-lifecycle solution encompassing change and configuration management, patching, provisioning, testing, masking/subsetting, performance management and automatic tuning.
Microsoft Corporation
Microsoft SQL Server
8.9
Composite
Score
+90
Emotional
Footprint
106
Reviews
Reviews Say
Compared to Neo4j Graph Database, Microsoft SQL Server is:
Better at Support
Less Inspiring
Less Caring
Less Efficient
Harder to Customize
Less Transparent
Apply intelligence across all your data with SQL Server 2019. Whether your data is structured or unstructured, query and analyze it using the data platform with industry-leading performance and security. Regardless of where your data is stored, query and analyze it with the data platform known for performance, security, and availability.
Cloudera
Cloudera Operational Database
8.8
Composite
Score
+99
Emotional
Footprint
33
Reviews
Reviews Say
Compared to Neo4j Graph Database, Cloudera Operational Database is:
Better at Support
Easier to Implement
More Transparent
More Caring
More Inspiring
Worse at Training
In order to deliver actionable data to your application you need an Operational Database that is scalable and flexible but is also enterprise hardened. By launching your applications for an enterprise data hub your users can have rich data access and the performance to meet end user expectations.
Amazon
Amazon Aurora
8.3
Composite
Score
+93
Emotional
Footprint
45
Reviews
Reviews Say
Compared to Neo4j Graph Database, Amazon Aurora is:
Better at Support
Worse at Training
Harder to Use
Harder to Customize
Less Inspiring
Less Caring
Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides unparalleled high-performance and availability at global scale with full MySQL and PostgreSQL compatibility. Amazon Aurora provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services.
Progress MarkLogic
Progress MarkLogic Data Platform
8.0
Composite
Score
+97
Emotional
Footprint
13
Reviews
Reviews Say
Compared to Neo4j Graph Database, Progress MarkLogic Data Platform is:
More Transparent
Harder to Use
Worse at Training
Harder to Implement
Worse at Integrating
Harder to Customize
The Progress MarkLogic Data Platform is a multi-model, enterprise-grade, unified data platform for solving complex data challenges. With its flexible data model and advanced security, it integrates data from any source 10x faster in a single platform, breaking data silos while ensuring the highest levels of data protection. Coupled with powerful built-in search and semantic AI, the MarkLogic data platform delivers a 360-degree view of customers and data operations to improve the customer experience, accelerate discovery and drive smart decisions.
Teradata
Teradata Advanced SQL Engine
7.9
Composite
Score
+94
Emotional
Footprint
27
Reviews
Reviews Say
Compared to Neo4j Graph Database, Teradata Advanced SQL Engine is:
Worse at Training
Harder to Use
Harder to Customize
Less Inspiring
Harder to Implement
Less Innovative
Advanced SQL Engine leverages industry-leading Teradata Database which was designed with a patented massively parallel processing (MPP) architecture from ground-up. This allows complex analytics workloads to be broken down and distributed in order to perform as efficiently as possible. Advanced SQL is the foundation that provides the scalability to start small and then expand into an enterprise-wide, mission-critical analytics system.
Microsoft Corporation
Azure Cosmos DB
7.7
Composite
Score
+86
Emotional
Footprint
17
Reviews
Reviews Say
Compared to Neo4j Graph Database, Azure Cosmos DB is:
Less Respectful
Harder to Customize
Less Reliable
Less Efficient
Worse at Integrating
Less Caring
Azure Cosmos DB is a fully managed NoSQL database service for modern app development with guaranteed single-digit millisecond response times and 99.999-per cent availability, backed by SLAs, automatic and instant scalability, and open-source APIs for MongoDB and Cassandra. Azure Cosmos DB offers a solution for modern apps and intelligent workloads by being very responsive with dynamic and elastic autoscale. It is available in every Azure region and can automatically replicate data closer to users.
SAP
SAP HANA Cloud
7.7
Composite
Score
+86
Emotional
Footprint
39
Reviews
Reviews Say
Compared to Neo4j Graph Database, SAP HANA Cloud is:
Harder to Customize
Worse at Training
Less Efficient
Harder to Use
Less Innovative
Harder to Implement
Harness the power of your data and accelerate trusted outcome-driven innovation by developing intelligent and live solutions for real-time decisions and actions on a single data copy. Support next-generation transactional and analytical processing with a broad set of advanced analytics – run securely across hybrid and multicloud environments.
IBM
IBM Db2
7.5
Composite
Score
+94
Emotional
Footprint
12
Reviews
Reviews Say
Compared to Neo4j Graph Database, IBM Db2 is:
Worse at Integrating
Harder to Implement
Harder to Customize
Less Innovative
Worse at Support
Less Transparent
Transform and modernize your business with the leader in AI-driven data management solutions. IBM Db2 is a family of hybrid data management products offering a complete suite of AI-empowered capabilities designed to help you manage both structured and unstructured data on premises as well as in private and public cloud environments. Db2 is built on an intelligent common SQL engine designed for scalability and flexibility.
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