Invergent

BigConnectCore

A data store for sparse connected data built for AI

BigConnect Core/Query/aml-rings.cypher4 rows in 38 ms
CypherSQLGQLFull text
1MATCH (a:Account)-[:SENT*1..3]->(b:Account)2WHERE a.flagged = true3  AND b.country <> a.country4RETURN a.iban, b.iban, count(*) AS hops5ORDER BY hops DESC LIMIT 4
FromToHops
RO49 AAAA 1B31DE89 3704 00443
RO09 BCYP 0000NL91 ABNA 04173
RO66 BACX 0000AT61 1904 30022
RO21 RNCB 0099HU42 1177 30162
Cluster, shared nothing
  • store-1
  • store-2
  • store-3
  • store-4
  • store-5
  • store-6
Nodes6
Replicas3
Snapshot02:00
Security labels applied: finance, aml-team. Rows outside them never leave the store.
  • 99.99%

    High Availability

  • Trillions

    Nodes and Edges

  • Millions

    Queries Per Second

  • Millisecond

    Latency

01

One store for every kind of data, and every way to ask.

  • 01

    Multi-modal data store

    Store any type of structured, semi-structured and unstructured data. From database tables to documents, images, audio and video, and raw binary data.

  • 02

    Multi-modal query and search

    With native support for full-text search, Cypher, SQL and GQL you can query the data store in any possible way. And really, really fast.

  • 03

    Secure by design

    Apply security labels to attributes, nodes and edges and combine them using logical operators to implement any imaginable scenario. Combine this with storage-level encryption and secure communications and you will have the most secure data store in the world.

  • 04

    Horizontally scalable

    Built on a shared-nothing distributed architecture to offer linear scalability, meaning that you can add more nodes or services to the cluster without affecting performance. Our native engine enables lightning-fast QPS and TPS with millisecond latency. With high concurrency, efficient traversals, and optimized memory usage, you can process sheer volumes of data blazingly fast.

  • 05

    Resilient to failures

    With horizontal scalability and snapshots feature, it guarantees high availability even in case of failures. The snapshot feature allows users to take snapshots at any point in time so that they can use them to restore data at that specific time. If a disaster occurs, it can be recovered from snapshots without data loss. This process is fully automatic and transparent to clients.

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02

Typical Use Cases

  • 01

    LLM Semantic Memory

    Provides long-term memory to Large Language Models in the form of semantic knowledge graphs.

  • 02

    Explainable AI

    One of the biggest obstacles to widespread artificial intelligence adoption is a lack of transparency as to how the AI system arrived at a particular decision. Using LLM memory, our platform can track how Generative AI performs Chain of Thought reasoning to reach a conclusion.

  • 03

    Customer 360

    Enables marketing teams to connect different types of information to get a complete overview of how customers interact with their systems.

  • 04

    Anti-Money Laundering

    Money launderers typically create an intricate network of identities and accounts to funnel their ill-gotten gains. Deep Link Analytics helps identify fraud rings, suspicious transactions and unusual behavior.

  • 05

    Cybersecurity Threat Detection

    Any network is a network of components and processes: the internet is an interconnected system of servers, routers, bridges, laptops, smartphones, and so on, and there are processes defining how these work together. Deep Link Analytics helps identify patterns of behavior associated with malicious attacks.

  • 06

    Risk Assessment & Monitoring

    Assess and monitor Credit Risk and Regulatory Risk for customers and suppliers

  • 07

    Energy Management

    From meter readings to information from network sensors, balancing a power grid requires consolidating signals from multiple levels of the power infrastructure and matching demand and supply with complex linear equations. Network operators can respond immediately to sudden spikes in demand or drops in supply, thus reducing operational risk and operating costs while improving reliability, efficiency, and customer experience.

  • 08

    Network & IT Management

    Detect when a resource such as a storage array, server, network switch or router shows the signs of wear, requires maintenance or is nearing its peak capacity.

  • 09

    Supply Chain Analysis

    Supply and delivery pipelines have dozens, if not hundreds, of stages and an ability to analyze and understand the impact across many levels is essential. Our platform solution has advanced analysis and pattern recognition to identify product delays, shipment status, and other quality control and risk issues.

03

Under the hood.

  • 01

    Symmetrically distributed

    Data is symmetrically distributed across storage nodes based on optimal shards and partitions and Multi Group Raft architecture that take maximum advantage of NVMe SSDs

  • 02

    Storage and computing separation

    Storage nodes are separated from compute nodes to ensure maximum load distribution in a multi-node deployment configuration.

  • 03

    Horizontal scalability

    With a shared-nothing distributed architecture, BigConnect Core offers linear scalability, meaning that you can add more nodes or services to the cluster without affecting performance.

  • 04

    Cypher and SQL

    Support for both OpenCypher and ANSI SQL allows developers to integrate BigConnect into any application.

  • 05

    Full-text search

    Full-text indexes are powered by Elasticsearch. This means you can use the Elasticsearch full text query language to retrieve what you want.

  • 06

    GQL query language

    A declarative graph query language designed for both developers and operations, that allows expressive and efficient graph patterns.

  • 07

    Distributed Analytics

    Based on Apache Spark, allows massively parallel graph computations and the full benefits of Spark's data processing, transformation and machine learning pipelines.

  • 08

    Backup and snapshots

    One-click backup and restore to local filesystem or S3-compatible cloud providers. Support for snapshots allows point in time recovery.

  • 09

    Asynchronous Processing

    An event-based data processing runtime allows late processing of data, while preserving order of operations. Very useful for Machine Learning and AI data augmentation.

  • 10

    Graph embeddings

    Low-dimensional, compact graph representations that store relational and structural data in a vector space, condensing complicated graph structures into dense vectors.

  • 11

    Metrics

    Query database metrics over HTTP to get a comprehensive overview of performance and availability of the entire data store.

  • 12

    Security

    Attribute, node and edge security labels can be applied and combined using expressions to achieve maximum flexibility. Supports also storage encryption and SSL communication.

One semantic data lake, from the first record to the last report.

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