Graph Databases - Further Information

We examine the interplay between graph and AI technology, and highlight a particularly effective example of addressing this interplay: Ultipa.

Ultipa is a highly performant property graph that uses an in-memory parallel graph computing engine. Its latest update includes a new architecture: Powerhouse.

AllegroGraph, now in version 8.0, is a platform for building semantic knowledge graphs backed by neuro-symbolic AI.

We discuss segmentation, movement, and trends within the graph market. We also include a comparative study of several graph products.

GraphDB is an RDF graph database. It is part of the Ontotext Platform, which offers data management and text analytics through the use of knowledge graphs.

Memgraph is an open source, in-memory, ACID-compliant property graph database written in C++.

TypeDB is an open source, freely available, strongly typed graph database. Vaticle, the company behind it, offers commercial licensing and enterprise support.

Stardog is an enterprise knowledge graph platform designed to help you build semantically rich knowledge graphs.

The basic concept behind the Talend Data Fabric is to allow you to collect, govern, transform, and share your data.

SOLIXCloud is a cloud data management platform from Solix Technologies that provides four primary solutions.

The Qlik Data Integration Platform is essentially a melding of the capabilities provided through the acquisitions of Podium Data and Attunity.

Oracle’s data management capabilities span the establishment of (cloud-based) data warehouses and data lakes.

The Intelligent Data Platform encompasses data integration, quality, governance, MDM, cataloguing, privacy, application integration, and more.

IBM Cloud Pak for Data places particular emphasis on deploying, developing and managing AI and machine learning models.

The Lumada DataOps Suite from Hitachi Vantara supports everything from ingestion through to analysis and dashboards.

Cloudera Data Platform offers data integration, data governance, data cataloguing and transformation capability but not data quality per se.

Ataccama ONE encompasses data integration, data cataloguing, data profiling and data quality, and both reference and master data management.

MarkLogic Data Hub is a fully cloud-native platform for data storage, integration, operationalisation and governance.

This is Bloor's fourth Market Update in this space, which discusses the state of the graph database market as of early 2020.

In Amazon Neptune, both RDF graphs and Property Graphs are stored in a “quad” representation using a custom data model.

AnzoGraph is a massively parallel graph database that runs on HDFS, NFS and other big data platforms and is ACID compliant.

The DSE Graph Engine is a property graph that is built into DSE and leverages DSE’s capabilities for storage, search and analytics.

AllegroGraph from Franz Inc. is a semantic graph database focused on generating semantic knowledge graphs.

Grakn consists of a database, an abstraction layer and a knowledge graph, which is used to organise complex networks of data and make them queryable.

MarkLogic Server is a multi-model database that can be used to store documents, relational data via tables, rows and columns, and graph data.

Memgraph is an in-memory, ACID-compliant, property graph database written in C++ that supports openCypher.

Neo4j is a property graph database with a native engine that is targeted at operational, hybrid operational/analytic (HTAP) and pure analytic use cases.

Objectivity/DB has proven scalability and performance credentials in highly demanding environments. ThingSpan, which is built into the database.

GraphDB from Ontotext is a native RDF database with dynamic indexing that integrates with various search technologies, document stores, and text mining.

RedisGraph is the graph database module for Redis where, by “module” the company means functionality embedded into the product.

Sparsity Technologies Sparksee is a property graph database that focuses on high performance deployment at scale and on embedded systems.

Stardog is an RDF database with strong support for SPARQL and OWL that can be extended to provide labelled property graph capabilities.

TigerGraph uses a property graph paradigm and has been designed specifically to support real-time (less than one second) analytics.

This paper discusses Franz AllegroGraph, a highly secure, semantic, RDF-based graph database available in-cloud and on-premises.

There are multiple ways in which databases that support real-time operational/transactional and analytic processing may be implemented. This report compares representative samples of each.

Neo4j, is a labelled, property graph database with a native engine that is targeted at operational and hybrid operational/transactional and analytic use cases.

This is the third Market Update into the graph database market, considering and comparing both property graph and RDF databases.

This paper discusses Trovares xGT, a property graph engine that will compete with graph databases for query processing against extremely large graphs.

This paper discusses TigerGraph, a native graph parallel database that has been designed specifically to support real-time (less than one second) analytics.

This paper discusses Stardog, an RDF database with strong support for SPARQL and OWL that can be extended to provide labelled property graph capabilities.

This paper discusses SAP OrientDB, an open source, multi-model database with extended property graph database capabilities.

This paper discusses Ontotext GraphDB (previously known as OWLIM), a native RDF database with dynamic indexing that integrates with various search technologies.

This paper discusses Objectivity ThingSpan, a “graph analytics platform” built on top of Objectivity/DB, Objectivity’s object-oriented database.

Memgraph is a property graph database targeted primarily at hybrid analytic and transactional environments.

This paper discusses and evaluates Franz AllegroGraph, a semantic graph database focused on generating sophisticated semantic knowledge graphs.

The Cray Graph Engine is an RDF database that runs on a variety of Cray hardware platforms.

ArangoDB is a multi-model database that supports document (JSON), key-value and property graph capabilities with one database core and one declarative query language.

AnzoGraph is a massively parallel RDF database targeted primarily at large scale analytic environments

Neo4j is a labelled, property graph database with a native engine that is targeted at operational and hybrid operational/analytic use cases.

This paper discusses and evaluates DataStax Enterprise Graph, the graph database add-on for DataStax Enterprise.

Cosmos DB is a distributed multi-model database that is provided as a service. It supports key-value, column store, document and property graphs.

This paper discusses RedisGraph, the graph database module for Redis.

Grakn is a graph-based platform for developing cognitive and other applications leveraging artificial intelligence.

In this paper, we have identified the potential significance of a wide range of data-based technologies that impact on the move to a data-driven environment.

Over the last few years graph databases have been the fastest growing sector within the database market ...

This Market Update discusses the latest trends in this market, along with our assessment of the leading vendors in the market.

This Market Report discusses the latest trends in this market, along with a detailed assessment of the leading vendors in the market

Capsenta is doing some seriously interesting things in the area of data federation and semantics.

GraphConnect is (probably) the largest graph database conference.

There are lots of open source and development projects within the graph space. We have focused on those that we believe to be enterprise-ready.

The graph database and graph analytics market is increasingly complex and diverse

You might think that SPARQL will equate in the graph world to SQL in the relational world, but it probably won't

This is the third in a series of five articles about graph databases

The last of five articles about graph databases

The first in a series of five articles about graph databases