Graph Engine

Graph Engine

Microsoft
Papr

Papr

Papr.ai
+
+

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About

Graph Engine (GE) is a distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine. The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set. The capability of fast data exploration and distributed parallel computing makes GE a natural large graph processing platform. GE supports both low-latency online query processing and high-throughput offline analytics on billion-node large graphs. Schema does matter when we need to process data efficiently. Strongly-typed data modeling is crucial for compact data storage, fast data access, and clear data semantics. GE is good at managing billions of run-time objects of varied sizes. One byte counts as the number of objects goes large. GE provides fast memory allocation and reallocation with high memory ratios.

About

Papr is an AI-native memory and context intelligence platform that provides a predictive memory layer combining vector embeddings with a knowledge graph through a single API, enabling AI systems to store, connect, and retrieve context across conversations, documents, and structured data with high precision. It lets developers add production-ready memory to AI agents and apps with minimal code, maintaining context across interactions and powering assistants that remember user history and preferences. Papr supports ingestion of diverse data including chat, documents, PDFs, and tool data, automatically extracting entities and relationships to build a dynamic memory graph that improves retrieval accuracy and anticipates needs via predictive caching, delivering low latency and state-of-the-art retrieval performance. Papr’s hybrid architecture supports natural language search and GraphQL queries, secure multi-tenant access controls, and dual memory types for user personalization.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies and developers looking for a distributed in-memory data processing engine solution

Audience

Developers and engineering teams building AI agents and context-aware applications that need persistent, high-accuracy memory and retrieval to maintain context across sessions and data sources

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$20 per month
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Microsoft
Founded: 1975
United States
www.graphengine.io

Company Information

Papr.ai
Founded: 2024
USA
www.papr.ai/

Alternatives

Alternatives

Engram

Engram

Weaviate
Dgraph

Dgraph

Hypermode
HyperGraphDB

HyperGraphDB

Kobrix Software
EverOS

EverOS

EverMind
Sparksee

Sparksee

Sparsity Technologies
LangMem

LangMem

LangChain

Categories

Graph Databases Supported

Categories

AI Memory Layers Supported

Integrations

Adobe Acrobat Reader Not Supported
Discord Not Supported
GitHub Not Supported
Jira Not Supported
Model Context Protocol (MCP) Not Supported
Next.js Not Supported
Python Not Supported
Slack Not Supported

Integrations

Adobe Acrobat Reader Supported
Discord Supported
GitHub Supported
Jira Supported
Model Context Protocol (MCP) Supported
Next.js Supported
Python Supported
Slack Supported
Claim Graph Engine and update features and information
Claim Graph Engine and update features and information
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Claim Papr and update features and information