Both are ACID and have transaction support, but in both the transactions are server-side operations - they're more like atomic batches of commands rather than the kinds of transactions you might be used to in a traditional RDBMS.Both are distributed under a permissive license. This is a lot more practical in ArangoDB than OrientDB. Both offer REST APIs, both aim to be usable as an "API Server" via JavaScript request handlers.This is getting fixed in a forthcoming version of OrientDB. In both systems this comes via a slightly less than idiomatic JavaScript API, although ArangoDB's is a lot better. Both support server-side "stored procedures" in JavaScript.Both have support for Gremlin, but it's firmly a second class citizen compared to their own preferred query languages.Both are multi-model, you can use them to store documents, graphs and simple key / values.It's still biased as I'm the author of OrientDB's node.js driver - oriento but I don't have a vested interest in either company or product, I've just necessarily used OrientDB more.ĪrangoDB and OrientDB are both targeting a similar market and have a lot of similarities: I can provide a slightly less biased opinion, having used both ArangoDB and OrientDB. This investment will be used by ArangoDB to boost the development of next-generation graph Machine Learning (ML), enabling advanced analytics and AI capabilities at enterprise level.Disclaimer: I would no longer recommend OrientDB, see my comments below. In October 2021, ArangoDB announced a USD 27.8 million Series B fundraising deal led by Iris Capital, with current investors Bow Capital and Target Partners, as well as New Forge.Some major companies included in the global market report are Microsoft Corporation, Amazon Web Services, Inc., Oracle Corporation, International Business Machines Corporation, DataStax, Inc., ArangoDB GmbH, TigerGraph, Inc., Cambridge Semantics Inc., BitNine Co Ltd., and Neo4j, Inc.North America market is expected to register faster revenue CAGR than other regional markets owing to rapid growth of healthcare industry coupled with rising adoption of graph database solutions and services by healthcare organizations in countries such as the U.S, Canada, and Mexico.Cloud segment is expected to register significantly steady revenue growth rate over the forecast period because of rising deployment of cloud-based graph database solutions for accessing graphs and data remotely.Increasing implementation of graph database solutions led to increase in need for related services including, implementation, support, and consulting which is expected to drive revenue growth of this segment. Service segment revenue is expected to expand at a significantly steady CAGR during the forecast period.Also, though graph databases are functionally NoSQL databases, these cannot be used in the low-cost cluster and therefore must run on a unified system, which leads to the network\'s performance decline. However, lack of standardization and shortage of skilled professionals are expected to hamper growth of the global graph database market to some extent over the forecast period. This is expected to boost adoption of graph databases for GDPR and regulation compliances, and in turn propel market revenue growth. The databases minimize the chances of data breaches and ensures more uniformity while removing data, hence increasing trust related to private data. Graphs make it easier to control data migration and security. Rising use of graph databases for General Data Protection Regulation (GDPR) and regulation compliances are also expected to boost revenue growth of the market to a significant extent. Rising use of graph database software in healthcare industry and rising demand for robust Artificial Intelligence (AI) infrastructure are some key factors driving market growth are some key factors driving global graph database market revenue growth. Vancouver, B.C., JanuGlobal graph database market size reached USD 1.59 Billion in 2020 and is expected to register a revenue CAGR of 21.9%, during the forecast period, according to latest analysis by Emergen Research. Market Size – USD 1.59 Billion in 2020, Market Growth – at a CAGR of 21.9%, Market Trends – Rising use of graph database for GDPR and regulation compliances Increasing use of graph database software in healthcare industry and rising demand for robust AI infrastructure are some key factors driving market revenue growth
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