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Estimated reading time: 4 minutes
As the new year begins, It’s time to take a step back and reflect on 2021. 2021 was a big year for ArangoDB, and none of it would have been possible without the hard work and dedication of our team, as well as the continuous support from our community. This blog post recaps a few of our favorite moments from the last year and to get excited about what 2022 has in store for ArangoDB.
More infoEstimated reading time: 5 minutes
This blog post is to announce ArangoDB’s Series B funding round and provide an update on the progress we have made so far. The company has achieved a lot in the past couple of years since we announced our Series A round of funding in 2019. We are excited for what lies ahead and can’t wait to bring you along for the journey!
Estimated reading time: 18 minutes
When we thought about all the things we wanted to share with our users there were obviously a lot of topics to choose from. Our Enterprise feature; ArangoSync was one of the topics that we have talked about frequently and we have also seen that our customers are keen to implement this in their environments. Mostly because of the secure requirements of having an ArangoDB cluster and all of its data located in multiple locations in case of a severe outage.
This blog post will help you set up and run an ArangoDB DC2DC environment and will guide you through all the necessary steps. By following the steps described you’ll be sure to end up with a production grade deployment of two ArangoDB clusters communicating with each other with datacenter to datacenter replication.
More infoEstimated reading time: 6 minutes
Nothing performs faster than arangoimport and arangorestore for bulk loading or massive inserts into ArangoDB. However, if you need to do additional processing on each row inserted, this blog will help with that type of functionality.
If the data source is a streaming solution (such as Kafka, Spark, Flink, etc), where there is a need to transform data before inserting into ArangoDB, this solution will provide insight into that scenario as well. Read more
ArangoDB is joining CNCF to continue its focus on providing a scalable native multi-model database, supporting Graph, Document, and Key-Value data models in the Cloud Native ecosystem.
ArangoDB is a scalable multi-model model database. What does that mean?
You might have already encountered different NoSQL databases specialized for different data models e.g., graph or document databases. However most real-life use-cases actually require a combination of different data models like Single View of Everything, Machine Learning or even Case Management projects to name but a few.
In such scenarios, single data model databases typically require merging data from different databases and often even reimplementing some database logic in the application layer as well as the effort to operate multiple database in a production environment.
We are super excited to share the great news of two highly-experienced minds joining team ArangoDB to shape and grow the multi-model vision with us.
Matt Ekstrom is an accomplished enterprise sales leader and joins ArangoDB as Chief Revenue Officer. He brings over 20 years of sales and leadership experience with him and will lead our global sales efforts from San Francisco.
Our new Head of Engineering & Machine Learning is Jörg Schad who brings nearly a decade of experience of researching, designing and developing distributed systems and machine learning pipelines to our team. Read more
Phew, it’s been quite a ride, but today the whole team is super excited to announce a $10 million Series A funding for ArangoDB, our native multi-model database.
We feel honored and frankly a bit proud that Bow Capital is leading this 
investment round and shows their trust in our product, team, and amazing community. Vivek, Suraj and team – it is an absolute pleasure teaming up with you! Getting the chance to learn from the leaders guiding TIBCO to its remarkable success is an absolute privilege. Read more
We are absolutely thrilled to announce that one of the brightest and most respected minds in open-source software joins ArangoDBs Advisory Council. Hi, Ted and welcome to the ArangoDB family!
For those who don’t know Ted Dunning yet, maybe a quick introduction and the reason why the whole team is so amazed that he supports the project. Ted Dunning is Chief Application Architect at MapR, holds a PhD in computer science and is committer as well as PMC member of the Apache Mahout, Zookeeper and Drill projects. Besides his 25 patents, and even more pending, he mentors multiple well-known Apache projects like Storm, Flink, or DataFu with his broad experiences across industries and technologies. Ted contributes so much to the open-source world and we feel blessed to have him on board at ArangoDB. Read more