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Top Graphwise Alternatives, Competitors & Similar Software

Founded 2024

Find 7 competitors in the RDF Databases. Compare other SaaS such as TopQuadrant, ONTOFORCE and Oxford Semantic Technologies. These Graphwise competitors have raised - and together serve more than - customers and employ over 2.5K team members.

Compare Graphwise with TopQuadrant
1
TopQuadrant

RDF Databases

TopQuadrant helps organizations succeed in information management. Its flagship product, TopBraid EDG, uses Knowledge Graph technologies to connect metadata silos and deliver meaningful access for all data stakeholders to enterprise metadata, business terms, reference data, data and application catalogs, data lineage, requirements, policies, and processes.  TopBraid Enterprise Data Governance™ (EDG) supports the governance and provisioning of enterprise metadata, business glossaries and reference data. TopBraid Enterprise Vocabulary Net™ supports collaborative management of taxonomies and ontologies and offers auto-classification of documents and search enhancement. TopQuadrant customers include many government agencies and Fortune 1000 companies in numerous industries including pharmaceutical, financial services, energy and digital media. For more information, visit www.topquadrant.com.

Revenue
$4.1M
Customers
-
Year founded
2001
Funding
-
Team size
37
Location
United States
Compare Graphwise with ONTOFORCE
2
ONTOFORCE

RDF Databases

Through our intuitive data and technology solutions, we transform complex data into actionable insights, streamline drug development, and accelerate new treatments to patients. Our flagship product, DISQOVER, is a knowledge discovery platform which links siloed data using knowledge graph and semantic technologies. Users can search across disparate public and private data sources through a single interface that enables easy and efficient data discovery and exploration. DISQOVER allows researchers and collaborators to swiftly access valuable insights in one place, ensuring that information isn’t overlooked for faster and more accurate. The platform has been specifically developed for life sciences companies and is used by scientific researchers, bioinformaticians, data scientists, business users, and other roles. Customers include AstraZeneca, Amgen, the Princess Máxima Center for Pediatric Oncology, and more.

Revenue
$3.6M
Customers
-
Year founded
2011
Funding
-
Team size
33
Location
Belgium
Compare Graphwise with Oxford Semantic Technologies
3
Oxford Semantic Technologies

RDF Databases

Oxford Semantic Technologies develop RDFox, the first market-ready high-performance knowledge graph designed from ground up with semantic reasoning in mind. Oxford Semantic Technologies was founded in 2017 as a spin-out of the University of Oxford with a mission to bring cutting-edge research in semantic web technologies to industry. The team started working on RDFox in 2011 at the Computer Science Department of the University of Oxford with the conviction that flexible and high-performance reasoning was a possibility for data extensive applications without jeopardising the correctness of the results. Patented modern computing techniques underpin RDFox’s ability to deliver responses to complex queries on the fly. This has unlocked a new wave of enterprise applications for prestigious partners. To learn more about our customer stories and the applications of RDFox, head over to our blog at: https://www.oxfordsemantic.tech/blog OST was acquired by Samsung Electronics in 2024.

Revenue
$2.2M
Customers
-
Year founded
2017
Funding
-
Team size
20
Location
United Kingdom
Compare Graphwise with Franz
4
Franz

RDF Databases

Franz is a messaging app that combines chat & messaging services into one application. Franz currently supports Slack, WhatsApp, WeChat, Facebook Messenger, Telegram, Google Hangouts, GroupMe, Skype and many more.

Revenue
$550K
Customers
-
Year founded
2016
Funding
-
Team size
5
Location
Austria
Compare Graphwise with The Apache Software Foundation
5
The Apache Software Foundation

RDF Databases

The Apache Software Foundation (ASF) is the global home for open source software, powering some of the world’s most ubiquitous software projects including Apache Airflow, Apache Camel, Apache Cassandra, Apache Groovy, Apache HTTP Server, and Apache Kafka. Established in 1999, The ASF is at the forefront of open source innovation, setting industry standards to advance software for the public good. We sustain open source projects in perpetuity, empowering developers to build communities that endure. Everything we do is open. Everyone is welcome. Learn more at https://apache.org. ASF’s annual Community Over Code event is where open source technologists convene to share best practices and use cases, forge critical relationships, and learn about advancements in their field. https://communityovercode.org/

Revenue
$259.3M
Customers
-
Year founded
1999
Funding
-
Team size
2.4K
Location
United States
Compare Graphwise with BrightstarDB
6
BrightstarDB

RDF Databases

BrightstarDB produces a fast and scalable NoSQL database for the .NET platform with code-first data model generation. The technology can be used on-premise or as an Azure cloud service. BrightstarDB implements the powerfully simple W3C Semantic Web data model, RDF. The RDF data model uses triples to represent data of all shapes. BrightstarDB does not require the definition of fixed schema, allowing great flexibility in what data is stored and how it is connected together. This associative data model is a great fit for many real world applications. BrightstarDB offers a fully ACID transaction model where commits never block reads, reads never block updates and reads never see uncommitted updates. Thanks to automatic, dedicated indexes, client and server caching models BrightstarDB is blisteringly fast for updates and reads. BrightstarDB is unique in that it offers a full Entity Framework model over the underlying data store. This means developers have the flexibility of a NoSQL store but with the power and familiarity of working with typed objects when building applications. On .NET the language of query is LINQ. BrightstarDB has a custom LINQ implementation that maps LINQ queries into SPARQL to be run natively against the data. Through its Entity Framework any BrightstarDB store can expose an OData endpoint.

Revenue
-
Customers
-
Year founded
2012
Funding
-
Team size
-
Location
United States
Compare Graphwise with Blazegraph
7
Blazegraph

RDF Databases

Formerly known as SYSTAP, LLC, Blazegraph is a provider of highly scalable software for solving complex graph and machine learning algorithms. Founded in 2006, the company is the creator of Blazegraph DB, an ultra-high performance graph database supporting up to 50 billion edges on a single machine. Blazegraph GPU and Blazegraph DASL are its disruptive new technologies using GPUs to enable extreme scaling that is thousands of times faster and 40 times more affordable than CPU-based solutions. Fortune 500 companies and government agencies – including DARPA, EMC, Wikimedia Foundation and Yahoo7 – rely on Blazegraph for graphs at scale because, in graphs, size matters. Blazegraph is the creator of the industry’s first GPU-accelerated high-performance database for large graphs, has been named as one of the “10 Companies and Technologies to Watch in 2016” by The Bloor Group, an Austin, Texas-based independent enterprise software industry research firm that praised Blazegraph’s leadership in the nascent market for graph data analytics. Blazegraph DB is an ultra-scalable, high-performance graph database with support for the Blueprints and RDF/SPARQL APIs, capable of supporting up to 50 billion edges on a single machine. The solution is in use at several Fortune 500 companies, government agencies and other organizations, including AutoDesk, DARPA, EMC, Wikimedia Foundation and Yahoo7. Last month, the company extended its product line with the introduction of Blazegraph GPU and Blazegraph DASL, which leverage the Blazegraph’s patent-pending technology for making NVIDIA GPUs accessible for graph and machine learning applications. “Companies are facing a deluge of data, which presents significant challenges for ongoing exploration and discovery of data. With Blazegraph and our ability to leverage GPUs, we are able to deliver graph analytics 100 times faster and 40 times less expensive than CPU-based solutions,” said Brad Bebee, Blazegraph’s CEO.

Revenue
-
Customers
-
Year founded
2006
Funding
-
Team size
-
Location
United States
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