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ArangoDB 3.4: Enhancements in RocksDB Storage Engine
With ArangoDB 3.4 we finally made the RocksDB storage engine the default. This decision was made after a year of constant improvements to the engine to make it suitable for all our customer’s use cases.
Sharding: freedom, when you need it least?
“I must have a prodigious amount of mind; it takes me as much as a week, sometimes, to make it up!” ― Mark Twain How many shards should one choose, when creating collections in ArangoDB clusters? TLDR: Don’t be too shy with sharding your data in many shards across your cluster. Be mindful however that…
Run multiple versions of ArangoDB in parallel using the .tar.gz distribution
This post uses the new `.tar.gz` binary distribution of ArangoDB to run multiple versions of ArangoDB alongside each other on the same machines. We will do a production-ready deployment on 3 cloud instances with authentication, TLS encryption, (self-signed) certificates and `systemd` service. In the end, we show how to perform a rolling upgrade for one…
Using The Linux Kernel and Cgroups to Simulate Starvation
When using a database like ArangoDB it is also important to explore how it behaves once it reaches system bottlenecks, or which KPIs (Key Performance Indicators) it can achieve in your benchmarks under certain limitations. One can achieve this by torturing the system by effectively saturating the resources using random processes.
Happy Holidays from ArangoDB!
2018 has been a fantastic year for the ArangoDB project. The community has welcomed many new members, customers, supporters and friends. Together we’ve reached new “heights” – accomplished goals, shipped a big brand-new release and improved ArangoDB on all fronts.
Deploying ArangoDB 3.4 on Kubernetes
It has been a few months since we first released the Kubernetes operator for ArangoDB and started to brag about it. Since then, quite a few things have happened. For example, we have done a lot of testing, fixed bugs, and by now the operator is declared to be production ready for three popular public…
ArangoDB 3.4 GA
Full-text Search, GeoJSON, Streaming & More
The ability to see your data from various perspectives is the idea of a multi-model database. Having the freedom to combine these perspectives into a single query is the idea behind native multi-model in ArangoDB. Extending this freedom is the main thought behind the release of ArangoDB 3.4. We’re always excited to put a new…
RC1 ArangoDB 3.4 – What’s new?
For ArangoDB 3.4 we already added 100,000 lines of code, happily deleted 50,000 lines and changed over 13,000 files until today. We merged countless PRs, invested months of problem solving, hacking, testing, hacking and testing again and are super excited to share the feature complete RC1 of ArangoDB 3.4 with you today.
Gartner Report: Top-Rated Operational Database Management Systems
Firstly, a huge thank you to all our customers that took the time to review ArangoDB for the Gartner Peer Insights “Voice of the Customer”: Operational Database Management Systems Market report. Without your help and assistance, the continued improvements and enhancements we make to our software wouldn’t be possible.
Time traveling with graph databases
Graph databases are often used to analyze relations within highly interconnected datasets. Social networks, recommendation engines, corporate hierarchies, fraud detection or querying a bill of materials are common use cases. But these datasets change over time and you as a developer or data scientist may want to time travel and analyze these changes. While ArangoDB…