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Enterprise Wrapper for Neo4j

Neo4j is a popular and highly scalable graph database. Anansi is built on top of the Neo4j Graph DB. It is especially designed for enterprises looking to streamline their Neo4j experience.

Say goodbye to writing Cypher queries for common tasks like node creation, relationship management, or data import. With Anansi, these tasks become easy, allowing users to leverage the power of Neo4j without worrying about its syntax and other nuances.

Addressing Tech Pain Points

Neo4j users often encounter specific technical challenges. Anansi effectively mitigates these pain points:

Pain PointsMitigation by Anansi
Cypher Query LanguageSimplify interactions with Neo4j, reducing the need to learn Cypher from the get-go.
Audit InformationTrack and Log all changes - Provides detailed audit trails of who changed what and when.
Data LoadingImporting data from spreadsheets or JSON files into Neo4j can be pain. Streamline this process, offering easy import options with built-in type safety checks.
Type-SafetyNeo4j’s has option type-safety. Add robust type-checks, ensuring data integrity without requiring custom logic.

Enhancing Visualization Capabilities

Neo4j’s Bloom browser excels at visualizing nodes and their relationships. However, with even moderately complex data structures, users can find it hard to understand the graph. Anansi extends Neo4j’s visualization capabilities:

  • Unlimited Number of Levels: Anansi offers the ability to view data lineage across unlimited levels, making it easier to trace relationships and dependencies, no matter how complex.

  • Two Distinct Views:

    • System View: Provides a high-level overview of the entire system, ideal for understanding the macro structure and relationships.

    system_view

    • Data Schema View: Focuses on the schema and metadata, allowing users to dive into the specific details of data structure and organization. Think of this as similar to Enterprise Data Relationship Views.

    data_schema_view

More Information about Anansi's Visualization Capabilities

If you are interested in knowing more about Anansi's visualization capabilities, checkout this blog.

Easy Import and Export of Data

Easy Import

Supports CSV, JSON files, and databases, with seamless Azure integration and additional integrations coming soon.

import

Easy Export

Exports data to CSV and JSON formats.

export

Comprehensive Change Audits

Tracking changes is crucial for maintaining data integrity and compliance. Anansi’s audit features provide complete transparency:

Basic Audit Information

In Anansi, every node and relationship automatically includes audit details such as LastUpdatedBy, LastUpdatedDateTime, CreatedBy, and CreatedDateTime parameters by default.

The key values of this are

ParticularsDescription
Created ByThe user responsible for creating the data.
Creation TimestampThe date and time when the data was originally created.
Last Updated ByThe user responsible for the most recent update to the data.
Last Update TimestampThe date and time when the most recent update to the data occurred.

Audit_Info

Comprehensive Audit Events

This section outlines the audit information generated specifically when users create, update, or delete nodes and relationships. It captures:

  • User Actions: Records all modifications to the graph structure made through the Anansi Tool or the REST API.

  • Timestamps: Logs the time of the changes.

audit_log

Talk to your Data! - Knowledge Graphs and Generative AI

A knowledge graph is a structured representation of information that captures entities, their attributes, and the relationships between these entities within a particular domain.

Anansi uses an AI chatbot powered by a privately hosted Large Language Model (LLM). The chatbot queries the Neo4j database in real-time, leveraging this structure to understand data relationships.

chatbot_anansi

Coming Soon

Anansi will soon add a functionality to import unstructured data (Example: PDF files, Text Files ...). The AI chatbot will then not only be able to query the structured data but also the unstructured data leveraging the vector search provided by Neo4j.

Realtime Access and Integrations

Anansi supports a range of integrations and connectors.

Metadata Extraction Wizards for RDBMS

The following Databases are currently supported. Support for more databases is in the pipeline.

BI Tool Integrations

Seamlessly connect with:

Azure Integration

Import metadata from all services running in your Azure portal. For more information, check out this blog:

Real-Time Access

Anansi offers real-time access through SDKs enabling seamless integration with its workflows:

More Advantages

Anansi stands out in the market with several key differentiators:

  • Run Anywhere: Cloud, data center, or laptop.
  • Visual Data Lineage: Intuitive and scalable visualization with unlimited levels.
  • Ease of Use: User-friendly interface and operations.
  • High Configurability: Adaptable to various needs.
  • Real-Time Access: Instantaneous data interactions.

By integrating Anansi with Neo4j, organizations can overcome technical barriers, enhance data visualization, streamline ETL processes, and leverage knowledge graphs and AI more effectively. Anansi not only simplifies the use of Neo4j but also amplifies its capabilities, driving better business insights and decision-making.

Interested in knowing more: Contact us!