Category: ArangoDB

Feed: Blog – ArangoDB. Author: Bogdan Udubasa. 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. Let’s delve into the specifics. ArangoDB is version v3.6, and we will assume that it has already been installed (I am ... Read More

Feed: Blog – ArangoDB. Author: Ingo Friepoertner. Welcome 2020! To kick off this new year, we are pleased to announce the next version of our native multi-model database. So here is ArangoDB 3.6, a release that focuses heavily on improving overall performance and adds a powerful new feature that combines the performance characteristics of a single server with the fault tolerance of clusters. If you would like to learn more about the released features in a live demo, join our Product Manager, Ingo Friepoertner, on January 22, 2020 – 10am PT/ 1pm ET/ 7pm CET for a webinar on “What’s ... Read More

Feed: Blog – ArangoDB. Author: Ingo Friepoertner. We are working on the release of ArangoDB 3.6 and today, just in time for the holiday season, we reached the milestone of RC2. You can download and take the RC2 for a spin: Community Edition and Enterprise Edition. The next version of the multi-model database will be primarily focused on major performance improvements. We have improved on many fronts of speeding up AQL and worked on things like: Subquery performance Parallel execution of AQL queries that allows to significantly reduce gathering time of data distributed over several nodes Late document materialization that ... Read More

Feed: Blog – ArangoDB. Author: Claudius Weinberger. 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 ... Read More

Feed: Blog – ArangoDB. Author: Jan Stücke. 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 one place. Oasis is available immediately for Google Cloud, AWS – and also Microsoft Azure will be available very soon. The goal for Oasis was and is to provide highly scalable and secure deployments with just a few ... Read More

Feed: Blog – ArangoDB. Author: Joerg Schad. 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 value for DataOps & Data Scientists is when connections between this metadata is brought into context using graph technology…. so, we had this idea… and made the result open-source. We are excited to share ArangoML Pipeline with everybody ... Read More

Feed: Blog – ArangoDB. Author: Max Neunhöffer. This 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 a C++ application is compiled with GCC on Linux and statically linked against a non-GLibC C-library (like libmusl), then there is a danger of a data race which leads to a busy loop happening after main() and all static destructors have finished. The ... Read More

Feed: Blog – ArangoDB. Author: Max Neunhöffer. This 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 a C++ application is compiled with GCC on Linux and statically linked against a non-GLibC C-library (like libmusl), then there is a danger of a data race which leads to a busy loop happening after main() and all static destructors have finished. The ... Read More

Feed: Blog – ArangoDB. Author: Claudius Weinberger. 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 ... Read More

Feed: Blog – ArangoDB. Author: Jan Stücke. 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 Release Candidate of ArangoDB 3.5: RC7 Community and RC7 Enterprise. Before we dive in, we want to send another big THANK YOU to the many Avocaderas and Avocaderos who took the release candidates for a spin and shared ... Read More