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Say Hi To ArangoDB ArangoGraph: A Fully-Managed Multi-Model Database Service
After two years of planning, preparation and a few lines of code, you can now enjoy an even more comfortable developers’ life with ArangoDB. Today, we are happy to announce the launch of ArangoDB’s managed service Oasis – a fully-managed graph database, document, and key-value store, as well as a full-text search engine – in…
Building Our Managed Service on Kubernetes: ArangoDB Insights
Running distributed databases on-prem or in the cloud is always a challenge. Over the past years, we have invested a lot to make cluster deployments as simple as possible, both on traditional (virtual) machines (using the ArangoDB Starter) as well as on modern orchestration systems such as Kubernetes (using Kube-ArangoDB). However, as long as teams…
ArangoDB Hot Backup: Creating Consistent Cluster-Wide Snapshots
Introduction “Better to have, and not need, than to need, and not have.” Franz Kafka Franz Kafka’s talents wouldn’t have been wasted as DBA. Well, reasonable people might disagree. With this article, we are shouting out a new enterprise feature for ArangoDB: consistent online single server or cluster-wide “hot backups.”
ArangoML Pipeline: Simplifying Machine Learning Workflows
Over the past two years, many of our customers have productionized their machine learning pipelines. Most pipeline components create some kind of metadata which is important to learn from. This metadata is often unstructured (e.g. Tensorflow’s training metadata is different from PyTorch), which fits nicely into the flexibility of JSON, but what creates the highest…
When Exceptions Collide: Managing Errors in ArangoDB
Managing Exception Collisions | ArangoDB BlogThis is a story of an excursion to the bottom of a deep rabbit hole, where I discovered a foot gun in `gcc`’s `libgcc`. The investigation has cost me several days and I hope that by writing this up I can entertain others and save them the journey. TL;DR If…
ArangoDB 3.5 Released: Distributed Joins & Transactions
We are super excited to share the latest upgrades to ArangoDB which are now available with ArangoDB 3.5. With the fast-growing team, we could build many new and long-awaited features in the open-source edition and Enterprise Edition. Get ArangoDB 3.5 on our download page and see all changes in the Changelog. Need to know more…
Welcome Matt Ekstrom, CRO, and Jörg Schad, Head of Engineering & Machine Learning!
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…
ArangoDB 3.5 RC7: Streaming Transactions API
We are closing in on the general availability of ArangoDB 3.5. With this (hopefully) last release candidate for the new version, we want to highlight a pretty neat new feature, which many of you requested – a much simpler way to use ACID transactions without the need to write any Javascript code. Get the latest…
RC4 of ArangoDB 3.5: Configurable Analyzers & other ArangoSearch Upgrades
Step-by-step we are getting closer and closer to the official release of ArangoDB 3.5. First of all, we want to send a biiiiig “Thank You!” to all the testers so far and all your feedback! Super helpful for us! This Release Candidate post is dedicated to the four new features of ArangoSearch which extend the…
ArangoDB Included in DBTA 100: The Companies That Matter Most in Data
This has been a really momentous year so far for us, filled with a lot of accomplishments we’re pretty excited about. We recently added another one to the books: being named to Database Trends and Applications magazine’s “DBTA 100: The Companies That Matter Most in Data” list.