Top 10 FlockDB Alternatives & Competitors

Top 10 Alternatives to FlockDB Recently Reviewed By G2 Community

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Neo4j Graph Database
By Neo4j
4.5/5
(133)
Product Description
Neo4 is a graph database, that brings data relationships to the fore. From companies offering personalized product and service recommendations; to websites adding social capabilities; to telcos diagnosing network issues; to enterprises reimagining master data, identity, and access models; organizations adopt graph databases as the best way to model, store and query both data and its relationships.
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Reviewers say compared to FlockDB, Neo4j Graph Database is:
Better at meeting requirements
More usable
Better at support
Categories in common with FlockDB:
Graph Databases

Arango
By Arango
4.6/5
(115)
Product Description
Arango provides a trusted data foundation for Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools. At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs. The Arango AI Suite includes automated data pipelines, multimodal data ingestion, AIOps and MLOps, LLM integrations, Graph Analytics, agentic frameworks for context-aware Hybrid/GraphRAG, GraphML, natural-language support, and GPU acceleration — enabling repeatable ROI and faster innovation. Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, Synopsys and Articul8, Arango powers enterprise AI with context, confidence, and scale. We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, YouTube, and G2.
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Reviewers say compared to FlockDB, Arango is:
Better at meeting requirements
More usable
Better at support
Categories in common with FlockDB:
Graph Databases

OrientDB
By SAP
3.9/5
(60)
Product Description
OrientDB is a Distributed Graph Database engine with the flexibility of a Document Database all in one NoSQL database.
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Reviewers say compared to FlockDB, OrientDB is:
Better at meeting requirements
More usable
Categories in common with FlockDB:
Graph Databases
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Cayley
By Cayley
3.9/5
(11)
Product Description
Cayley is an open-source graph written in Go inspired by the graph database behind Freebase and Google's Knowledge Graph.
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Reviewers say compared to FlockDB, Cayley is:
More usable
Better at meeting requirements
Categories in common with FlockDB:
Graph Databases

Elastic Stack
By Elastic
4.5/5
(95)
Product Description
The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data.
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Reviewers say compared to FlockDB, Elastic Stack is:
Better at meeting requirements
More usable
Better at support
Categories in common with FlockDB:
Graph Databases

Aerospike
By Aerospike
4.4/5
(83)
Product Description
Aerospike Database is a Key-Value Store and high performance real-time NoSQL (flex-schema) database.
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Reviewers say compared to FlockDB, Aerospike is:
Better at meeting requirements
More usable
Better at support
Categories in common with FlockDB:
Graph Databases

Azure Cosmos DB
By Microsoft
4.2/5
(68)
Product Description
Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables developers to build AI-powered applications and agents by providing seamless integration with AI services, allowing for efficient storage and querying of both NoSQL data and vectors. With its schema-agnostic JSON document model, Azure Cosmos DB simplifies the development process by automatically indexing all data, eliminating the need for manual schema or index management. The service offers comprehensive Service Level Agreements (SLAs), ensuring less than 10-millisecond read and write latencies and 99.999% availability, making it a reliable choice for applications requiring high performance and global reach. Key Features and Functionality: - Global Distribution: Azure Cosmos DB allows for turnkey global distribution, enabling data to be replicated across multiple regions worldwide, providing high availability and low latency access to data. - Elastic Scalability: The service offers elastic scaling of throughput and storage, allowing developers to scale resources up or down based on demand without downtime. - Multi-Model Support: It natively supports multiple data models, including document, key-value, graph, and column-family, catering to diverse application needs. - AI Integration: Built-in vector search capabilities simplify the development of AI applications by efficiently storing and querying vectors alongside NoSQL data. - Automatic Indexing: All data is automatically indexed, facilitating fast and efficient queries without the need for manual index management. - Comprehensive SLAs: Azure Cosmos DB provides industry-leading SLAs covering throughput, latency, availability, and consistency, ensuring predictable performance. Primary Value and Solutions Provided: Azure Cosmos DB addresses the challenges of building and managing globally distributed applications by offering a fully managed database service that ensures high availability, low latency, and elastic scalability. Its integration with AI services and support for multiple data models empower developers to create intelligent, responsive applications without the complexity of managing infrastructure. By automatically handling data distribution, scaling, and indexing, Azure Cosmos DB allows organizations to focus on innovation and delivering value to their users, making it an ideal solution for applications requiring real-time data access and global reach.
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Reviewers say compared to FlockDB, Azure Cosmos DB is:
Better at meeting requirements
More usable
Better at support
Categories in common with FlockDB:
Graph Databases

DataStax
By DataStax
Product Description
Big data platform built on Apache Cassandra.
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Categories in common with FlockDB:
Graph Databases

Amazon Neptune
By Amazon Web Services (AWS)
4.4/5
(30)
Product Description
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.
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Reviewers say compared to FlockDB, Amazon Neptune is:
Better at meeting requirements
More usable
Better at support
Categories in common with FlockDB:
Graph Databases

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