Latest news with #Neo4j
BBC News
30-06-2025
- Business
- BBC News
How a bridge changed lives and boosted business
One of Europe's most iconic transport landmarks, the Öresund bridge, which connects Denmark and Sweden, is celebrating 25 years since its opening. But challenges remain despite its huge impact on business in the Damkjaer, 28, is standing on a platform inside the red-brick 19th century train station in Malmö.He lives in the Danish capital, Copenhagen, and commutes over the Öresund bridge to Sweden's third largest city twice a week, folding some of his working hours into the high-speed 40-minute train journey."People think that it's a really big thing to commute to another country," says the software engineer who works for Neo4j, a Swedish-founded database company. "It's quite convenient, I would say."Across the bridge in Copenhagen, Laurine Deschamps is sitting at her desk at Danish gaming company IO Interactive's sleek, minimalist previously worked for a Swedish-owned game studio in Malmö, and decided to keep living there when she scored a job at IO Interactive's headquarters in Copenhagen, which she commutes to four times a week."Some people would pick [to live in] Copenhagen, to be in a bustling, capital city with lots of activities," says the global brand manager."I very much prefer Malmö – it's a human-sized city, you can walk everywhere." Their stories are the epitome of what Sweden and Denmark's governments envisioned when they signed an agreement in 1991 to build a permanent link across the Oresund goal was to maker travel faster and easier (commuters previously relied on ferries or short-haul flights), improve regional integration and boost economic cost 30bn Danish krone ($4.3bn; £3bn) and was built in five years.A quarter of a century since its construction, the link remains the longest road and rail bridge in the EU, measuring 16km, including a tunnel journey across offers commuters cinematic views across the water, and its giant metal pylons are striking. The infrastructure inspired one of Scandinavia's most successful TV franchises, cross-border crime drama The Bridge, which was a global hit in the - BBC Business Daily, 25 years of 'The Bridge' Figures released in May by Öresundsinstitutet, an independent research organisation in the region, highlight the broader impact the bridge has had on transport and business trends as it marks its 25-year commuting has increased by more than 400% (although exact comparisons are tricky due to shifting data collection methods).The number of Swedes and Danes moving to the other side of the bridge has risen by more than 60%.Plus, the link has helped thousands of people start businesses on the opposite side of the has been a 73% increase in these sorts of companies, according to Öresundsinstitutet's data."We have this very unique opportunity of being able to go back and forth," says Sandra Mondahl, a senior manager at IO Interactive, who helped launch the firm's sister studio in Malmö in 2019."It makes me very empowered to be able to contribute to the development of both game development scenes — in Denmark and in Sweden," says the 33-year-old, who is originally from Copenhagen. Öresundsinstitutet's research also suggests more than 100 businesses have relocated their Swedish headquarters or specialist offices to Malmö since the bridge opened, creating thousands of new job opportunities in the former industrial include parts of the Ikea Group and Ikano, a Swedish bank."Many big Danish companies have placed their Swedish offices in Malmö instead of Stockholm [the Swedish capital] too — big pharma companies for example," says Öresundsinstitutets CEO Johan institute's research suggests that alongside improved access to a larger skilled labour pool on both sides of the Öresund strait, Malmö is attractive for business owners due the availability of modern office space in newly developed areas close to its stations, and its proximity to Copenhagen international access to talent due to the Öresund bridge link has also played a major role in driving innovation in the has experienced a surge in new tech start-ups and life science companies. Lund University research published in 2022 found there has been a steeper increase in the number of patents in relation to its population size compared to Sweden's other major regions, Gothenburg and Stockholm.A separate 2022 study by the university's economics department suggested Danish-Swedish trade in the region is 25% higher than it would have been if the bridge had never been built. Öresundinstitutets research indicates that record numbers of people commuted by train in 2024 – making almost 41,000 journeys per reversed a dip during the pandemic, when border controls and reduced services caused major Mr Wessman says that the increasing popularity of cross-border commuting means overcrowding is now becoming an issue, with larger "future generation trains" designed to relieve the pressure not due to be rolled out until at least the boom in company relocations to Malmö, and the region's reputation for innovation, Öresundsinstitutet's data also suggests that the Swedish city still has work to do to encourage commuting from Denmark. More than 95% of commuters travel in the opposite direction, from Malmö to Copenhagen."Malmö is a regional city. In a capital, you have the kind of jobs that don't exist in a smaller city, [and] you have higher salaries in Copenhagen than in Malmö," explains Mr Wessman. Boozt, a Danish-owned online fashion marketplace which established its headquarters in Malmö in 2010, recently announced it was moving its head office to CEO and co-founder Hermann Haraldsson says that while he has personally enjoyed commuting to Malmö for the past 15 years, it has become increasingly tricky to lure young Danish talent away from the buzzing capital."I think there is a mental barrier for some Danes to cross the bridge and work in Sweden," he says, acknowledging that many Copenhagen residents endure longer daily commutes within the city, compared to typical journey times over the bridge."Since we announced the move, I believe that the amount of applications for open positions has tripled."Mr Haraldsson also believes that commuting over the Öresund bridge is too price of a one-way train journey from central Copenhagen to Malmö is around $17 (£13; €15) and takes about 40 minutes. It costs about $80 to drive a car over, although there are big discounts for regular CEO argues that there are too many administrative hurdles for cross-border workers too, since Sweden and Denmark have different pension, parental leave and unemployment insurance systems.A new agreement between the two countries came into force in January, designed to simplify income tax rules for integration has also been trickier than Swedish and Danish authorities envisioned, says Öresundsinstitutet CEO notes that while the Nordic nations may "look very similar" to global observers, differences in working cultures can mean that business people struggle to understand each other "despite good intentions"."Danes are known for being the most blunt out of the Scandinavian cultures…whereas Swedes are known as being a little bit more consensus-seeking," adds Mondahl, the Copenhagen-born gaming manager now based in Malmö."When I first arrived in a Swedish work environment…there were a lot of meetings and everybody needed to be 'heard' for everything, and it's about figuring out how to get the most out of that," she says. Despite these challenges, the bridge remains a global icon for both cross-border and regional helped inspire the Fehmarnbelt, a new tunnel being built under the Baltic Sea between Denmark and Germany, designed to further improve Scandinavia's links with the rest of Europe. Finland is also exploring a new bridge across the Baltic sea, connecting the city of Vaasa with Umeå in northern Wessman argues that the importance of these types of secure fixed links is heightened against the backdrop of the war in Ukraine, and Sweden and Finland's recent accession to Nato, which includes a commitment to assisting other member and Danish authorities are also discussing several potential new cross border include road and rail tunnels to Denmark from either the Swedish city of Helsingborg or Landskrona (both in the south west of Sweden), and a new subway connecting Malmö and Copenhagen."I think it will take several more years before the next connection is ready to be inaugurated. But it will come, and it will be needed," says Mr Wessman.
Yahoo
28-05-2025
- Business
- Yahoo
Rocketgraph Announces Rocketgraph Performance Labs (RPL)
Benchmarking Results are Up to One Thousand Times Faster Than Neo4j REDWOOD CITY, Calif., May 28, 2025--(BUSINESS WIRE)--Rocketgraph, the high-performance, no-code graph analytics platform company, is excited to announce Rocketgraph Performance Labs (RPL), some of its initial benchmarking results, as well as new efforts under way. RPL is dedicated to conducting in-depth benchmarking and performance analytics. With a mission to enhance the speed, usability, and functionality of graph technologies, RPL aims to provide organizations with critical insights that drive productivity and accelerate time to insight. "At Rocketgraph, our commitment to innovation is unwavering," said Brock Alston, Rocketgraph's CEO. "Over the years, we have focused on delivering solutions that not only meet but exceed the expectations of our customers. Our prior work has established Rocketgraph as a frontrunner in graph technology performance, and the establishment of the RPL is a significant step in our journey to redefine industry standards." The initial benchmarking results from RPL demonstrate high performance from Rocketgraph's approach compared to Neo4j. Ingest Performance: Utilizing Rocketgraph, we achieved ingestion speeds of up to 100 million attributes per second. In contrast, Neo4j's ingestion rates were found to be significantly lower, with capabilities as low as a few hundred nodes or edges per second. This stark comparison highlights Rocketgraph's ingestion performance as being up to 1000 times faster. BFS Algorithm Performance: The breadth-first search (BFS) algorithm serves as a critical measure of graph system scalability. In independent testing conducted at RPL, Rocketgraph outperformed Neo4j significantly across various vCPU environments, completing queries that took Neo4j days to process in just 40 minutes. Notably, attempts to benchmark Neo4j at 256 vCPUs resulted in machine failure, underscoring the superior scalability of Rocketgraph. Temporal Triangles Performance: The Temporal Triangles (TT) query serves as an ideal benchmark for property graph databases by identifying directed 3-cycles where timestamps increase monotonically and fall within a specified time window. In our tests at the lab, Rocketgraph was found to be an average of 300 times faster than Neo4j, with the speedup scaling linearly with the number of vCPUs utilized. This significant performance advantage underscores Rocketgraph's ability to handle complex temporal queries efficiently. What is new at the lab. Rocketgraph's Performance Labs (RPL) is actively innovating in the field of graph analytics through partnerships with educational institutions and organizations. At Columbia University, we have enhanced a data analysis course, enabling students to start their work in minutes instead of days. Additionally, our collaboration with the Technology Advancement Center (TAC) provides cyber threat analysts with practical training using Rocketgraph. We are also exploring edge computing capabilities with Sourcecode to determine how we can effectively deliver petabyte-scale graphs in these environments. "In minutes we can ingest millions of flow records, overlay node-type and register-address metadata, and pivot from high-level topology to coil-level anomalies," said Iverson Scarlett, System Engineer, TAC. "The Performance Lab lets our interns and engineers spot unauthorized PLC writes, validate recipe changes, and teach spectral-based threat hunting—all on the same interface. Rocketgraph has become the bridge between OT data realism and rapid cybersecurity insight for the TAC team." About Rocketgraph Rocketgraph enables enterprises and government agencies to discover the hardest-to-find insights without hiring a command center full of rocket scientists. Born out of a high-performance computing project at the Department of Defense, our graph analytics platform allows an analyst to use GenAI to do iterative analysis with the largest, most complicated datasets on the planet and get answers hundreds of times faster than with traditional graph tools. Rocketgraph builds property graphs that scale to hundreds of billions of edges. Our customers build fine-tuned forecasts, detect sophisticated fraud schemes, monitor nefarious activity on the dark web, keep their networks secure, answer their most challenging questions, and discover the impossible. Experience Rocketgraph in action by signing up for a 30 Day Free Trial or scheduling a demo. View source version on Contacts pr@
Business Wire
28-05-2025
- Business
- Business Wire
Rocketgraph Announces Rocketgraph Performance Labs (RPL)
REDWOOD CITY, Calif.--(BUSINESS WIRE)-- Rocketgraph, the high-performance, no-code graph analytics platform company, is excited to announce Rocketgraph Performance Labs (RPL), some of its initial benchmarking results, as well as new efforts under way. RPL is dedicated to conducting in-depth benchmarking and performance analytics. With a mission to enhance the speed, usability, and functionality of graph technologies, RPL aims to provide organizations with critical insights that drive productivity and accelerate time to insight. 'At Rocketgraph, our commitment to innovation is unwavering,' said Brock Alston, Rocketgraph's CEO. 'Over the years, we have focused on delivering solutions that not only meet but exceed the expectations of our customers. Our prior work has established Rocketgraph as a frontrunner in graph technology performance, and the establishment of the RPL is a significant step in our journey to redefine industry standards.' The initial benchmarking results from RPL demonstrate high performance from Rocketgraph's approach compared to Neo4j. Ingest Performance: Utilizing Rocketgraph, we achieved ingestion speeds of up to 100 million attributes per second. In contrast, Neo4j's ingestion rates were found to be significantly lower, with capabilities as low as a few hundred nodes or edges per second. This stark comparison highlights Rocketgraph's ingestion performance as being up to 1000 times faster. BFS Algorithm Performance: The breadth-first search (BFS) algorithm serves as a critical measure of graph system scalability. In independent testing conducted at RPL, Rocketgraph outperformed Neo4j significantly across various vCPU environments, completing queries that took Neo4j days to process in just 40 minutes. Notably, attempts to benchmark Neo4j at 256 vCPUs resulted in machine failure, underscoring the superior scalability of Rocketgraph. Temporal Triangles Performance: The Temporal Triangles (TT) query serves as an ideal benchmark for property graph databases by identifying directed 3-cycles where timestamps increase monotonically and fall within a specified time window. In our tests at the lab, Rocketgraph was found to be an average of 300 times faster than Neo4j, with the speedup scaling linearly with the number of vCPUs utilized. This significant performance advantage underscores Rocketgraph's ability to handle complex temporal queries efficiently. What is new at the lab. Rocketgraph's Performance Labs (RPL) is actively innovating in the field of graph analytics through partnerships with educational institutions and organizations. At Columbia University, we have enhanced a data analysis course, enabling students to start their work in minutes instead of days. Additionally, our collaboration with the Technology Advancement Center (TAC) provides cyber threat analysts with practical training using Rocketgraph. We are also exploring edge computing capabilities with Sourcecode to determine how we can effectively deliver petabyte-scale graphs in these environments. 'In minutes we can ingest millions of flow records, overlay node-type and register-address metadata, and pivot from high-level topology to coil-level anomalies,' said Iverson Scarlett, System Engineer, TAC. 'The Performance Lab lets our interns and engineers spot unauthorized PLC writes, validate recipe changes, and teach spectral-based threat hunting—all on the same interface. Rocketgraph has become the bridge between OT data realism and rapid cybersecurity insight for the TAC team.' About Rocketgraph Rocketgraph enables enterprises and government agencies to discover the hardest-to-find insights without hiring a command center full of rocket scientists. Born out of a high-performance computing project at the Department of Defense, our graph analytics platform allows an analyst to use GenAI to do iterative analysis with the largest, most complicated datasets on the planet and get answers hundreds of times faster than with traditional graph tools. Rocketgraph builds property graphs that scale to hundreds of billions of edges. Our customers build fine-tuned forecasts, detect sophisticated fraud schemes, monitor nefarious activity on the dark web, keep their networks secure, answer their most challenging questions, and discover the impossible. Experience Rocketgraph in action by signing up for a 30 Day Free Trial or scheduling a demo.
Techday NZ
08-05-2025
- Business
- Techday NZ
Neo4j launches serverless graph analytics platform for all users
Neo4j has released Neo4j Aura Graph Analytics, a serverless graph analytics solution designed to operate across any data source without requiring extract, load, and transfer (ETL) processes. The new offering reportedly enables a broader pool of users to conduct graph analytics, traditionally a specialist discipline, by eliminating the need for custom queries, ETL pipelines, or detailed knowledge of graph technologies. It supports integration with a wide range of database and cloud data warehouse providers including Oracle, Microsoft SQL, Databricks, Snowflake, Google BigQuery, and Microsoft OneLake, alongside compatibility with all major cloud environments. Graph analytics is engineered to assist with decision-making in artificial intelligence (AI) applications by identifying patterns and connections in complex datasets. According to Neo4j, the technique delivers more accurate insights than conventional analytics, yet has often been perceived as accessible only to data scientists and advanced analytics practitioners. Neo4j Aura Graph Analytics introduces more than 65 pre-built graph algorithms prepared for users who may not have prior experience with the Cypher query language or similar technologies. The company states that the product can be deployed and scaled without infrastructure setup, and is available on a pay-as-you-use model, allowing organisations to control costs according to their compute and storage requirements. Neo4j refers to customer-reported benefits from early adopters, including up to 80% improvements in model accuracy and a doubling of insight efficacy compared to traditional analytics approaches. The company attributes this to the use of graph embeddings that translate graph structures into features ready for machine learning workflows, providing enhanced ability to detect subtle relationships and patterns in data. Various use cases are cited for the technology, including anti-money laundering, fraud detection, disease contact tracing, supply chain management, customer 360 initiatives, recommendation engines, and social network analysis. Neo4j notes that the system supports highly parallelised in-memory processing, enabling analytics to be conducted twice as fast as some open-source alternatives, and allows for unlimited concurrent sessions by different organisational users. The platform is accessible directly via Python, and users can exploit familiar tools such as Pandas dataframes to project, analyse, and visualise enterprise data without additional ETL requirements. Neo4j reports a 75% reduction in required coding as the solution removes the need to manually build models for each new analysis. The serverless model absolves the organisation of infrastructure administration, with users only paying for resources used. Support for other widely-used programming languages is planned for later in the year, with a specific native integration for Snowflake expected to become generally available by the third quarter of the financial year. Neo4j's expansion of its analytical capabilities with serverless deployments is a response to increased demand for AI-ready and analytical solutions, according to the company. Neo4j has reported a series of milestones, including an upgrade to its Aura cloud management system with AI features in September 2024, its recognition as a Visionary in the 2024 Gartner Magic Quadrant for Cloud Database Management Systems for the second straight year, and designation as a Strong Performer in the Forrester Wave: Vector Databases, Q3 2024. In November 2024, Neo4j announced that it had doubled its annual recurring revenue over three years, reaching a valuation above USD $2 billion, and noted usage by a significant proportion of Fortune 100 and Fortune 500 companies. The role of graph analytics in enterprise data management was also noted in industry research, with Gartner indicating: "Data captured in any enterprise is sparse and replete with gaps, making it difficult to find and link useful data. Data and analytics leaders should use graph analytics as a preferred technology in specific use cases to fill data gaps and blend data assets even when they have diverse data quality." Devin Pratt, Research Director for Data Management at IDC, said: "Neo4j's new serverless graph analytics solution, developed with ease-of-use and accessibility in mind, is an exciting move that will allow enterprises to scale analytics across any data source or cloud platform, transforming their data into a wealth of actionable knowledge, and providing deeper insights for improved organizational decision-making." Sudhir Hasbe, Chief Product Officer at Neo4j, commented: "Our vision with Aura Graph Analytics is simple: make it easy for any user to make better business decisions faster. By removing hurdles like complex queries, ETL and costly infrastructure set-up, organizations can tap into the full power of graph analytics without needing to be graph experts. The result: better decisions on any enterprise data source, built on a deeper understanding of how everything connects." Neo4j reported customer benchmark data showing Neo4j Aura Graph Analytics delivers a 50–80% increase in accuracy for data science and machine learning models versus non-graph analytics, with this improvement leading to twice the efficacy in overall insights. The solution is available now under a pay-as-you-use plan and will continue to expand its integrations and supported languages in the coming year.
