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ArangoDB | Pronto Move Shard – Multi-Model NoSQL Database
In July Adobe announced that they plan the End-of-Life for flash at around 2020.
As HTML5 progressed and due to a long history of critical security vulnerabilities this is – technologically speaking – certainly the right decision. However I tended to also become a bit sad.
Flash was the first technology that brought interactivity to the web. We tend to forget how static the web was in the early 2000s. Flash brought life to the web and there were plenty of stupid trash games and animations which I really enjoyed at the time. As a homage to the age of trashy flash games I created a game which resembles the games of this era: Read more
ArangoDB Webinar: Apps with ArangoDB & KeyLines
Wednesday, September 6th (5PM CEST/11AM ET/8AM PT) – Join the webinar here
As data gets bigger, faster and more complex, you need to arm yourself with the best tools. In this webinar we’ll see how KeyLines and ArangoDB combine to create powerful and intuitive data analysis platforms. Read more
ArangoDB | Thank You for Your Interest in ArangoDB!
“By developers for developers” has been our internal motto since the first lines of ArangoDB code. Building an open-source project at such level of complexity and at a market competitive standard, undoubtedly puts a lot of pressure and almost solely relies on the support and trust of the community.
Every victory counts, be it small appreciation or big success – it’s what gives us inspiration and keeps us going forward. A while ago we’ve been having one of those rainy gray days here in Cologne. Receiving over 10 stars put a smile on faces of our whole team, motivating us to hack harder, brainstorm, bug fix, build, release…
ArangoDB 3.2: RocksDB, Pregel, Fault Tolerant Foxx, Satellite Collections
We are pleased to announce the release of ArangoDB 3.2. Get it here. After an unusually long hackathon, we eliminated two large roadblocks, added a long overdue feature and integrated an interesting new one into this release. Furthermore, we’re proud to report that we increased performance of ArangoDB on average by 35%, while at the same time reduced the memory footprint compared to version 3.1. In combination with a greatly improved cluster management, we think ArangoDB 3.2 is by far our best work. (see release notes for more details)
One key goal of ArangoDB has always been to provide a rock solid platform for building ideas. Our users should always feel safe to try new things with minimal effort by relying on ArangoDB. Todays 3.2 release is an important milestone towards this goal. We’re excited to release such an outstanding product today. Read more
The new SatelliteCollections Feature of ArangoDB
With the new Version 3.2 we have introduced a new feature called SatelliteCollections. This post explains what this is all about, how it can help you, and explains a concrete use case for which it is essential.
Background and Overview
Join operations are very useful but can be troublesome in a distributed database. This is because quite often, a join operation has to bring together different pieces of your data that reside on different machines. This leads to cluster internal communication and can easily ruin query performance. As in many contexts nowadays, data locality is very important to avoid such headaches. There is no silver bullet, because there will be many cases in which one cannot do much to improve data locality.
One particular case in which one can achieve something, is if you need a join operation between a very large collection (sharded across your cluster) and a small one, because then one can afford to replicate the small collection to every server, and all join operations can be executed without network communications.
ArangoDB Finalizes 4.2 Million Euro Investment Led by Target Partners
Funding to accelerate and strengthen the company’s US-based presence
ArangoDB, the company behind one of the fastest growing next generation databases, closed the final tranche of a 4.2 million Euro investment led by Munich-based venture capital firm Target Partners.
The company is developing the open-source NoSQL database ArangoDB, which combines three major data models (graph, key/value, JSON-documents) in one database and with one query language. ArangoDB allows startups and enterprises to speed up innovation cycles, simplify technology stacks and increase on-time and on-budget delivery of software projects. Read more
ArangoDB 3.2: Enhanced GraphQL Sync
Just in time for the upcoming 3.2.0 release, we have updated the graphql-sync module for compatibility with graphql-js versions 0.7.2, 0.8.2, 0.9.6 and 0.10.1. The graphql-sync module allows developers to implement GraphQL backends and schemas in strictly synchronous JavaScript environments like the ArangoDB Foxx framework by providing a thin wrapper around the official GraphQL implementation for JavaScript.
As a long-term database solution, ArangoDB is committed to API stability and avoids upgrades to third-party dependencies that would result in breaking changes. This means ArangoDB will continue to bundle the graphql-js 0.6.2 compatibility version of graphql-sync.
Database Security Reminder: Protect Your Data
With billions of objects and people connected to the internet and your precious data sometimes exposed publicly security is one of the most important topics to discuss. In light of recent ransomware attacks, databases exposed and other breaches we’d like to share a quick reminder on how to secure your ArangoDB environment.
Attacks can be prevented with the security protections built into the product. We strive to prevent possible security issues by giving appropriate reminders in our web console when authentication is disabled:
ArangoDB 3.2 Beta: RocksDB Storage Engine & Distributed Graph Cluster
We’re excited to release today the beta of ArangoDB 3.2. It’s feature rich, well tested and hopefully plenty of fun for all of you. Keen to take it for a spin? Get ArangoDB 3.2 beta here.
With ArangoDB 3.2, we’re introducing the long-awaited pluggable storage engine and its first new citizen, RocksDB from Facebook
- RocksDB: You can now use as much data in ArangoDB as you can fit on your disk. Plus, you can enjoy performance boosts on writes by having only document-level locks (more info below).
- Pregel: Furthermore, we implemented distributed graph processing with Pregel for discovering hidden patterns, identify communities and perform in-depth analytics of large graph data sets.
- ClusterFoxx: Another important upgrade is what we internally and playfully call the ClusterFoxx. The Foxx management internals have been rewritten from the ground up to make sure multi-coordinator cluster setups always keep their services in sync and new coordinators are fully initialised even when all existing coordinators are unavailable.
- Enterprise: Working with some of our largest customers, we’ve added further security and scalability features to ArangoDB Enterprise like LDAP integration, Encryption at Rest, and the brand new Satellite Collections.
The goal of the whole ArangoDB 3 release cycle has been to scale the multi-model idea to new heights. Getting ‘ready’ for large scale applications is not done overnight and it’s definitely not possible without the help of a strong community. We’d like to invite all of you to lend us a helping hand to make ArangoDB 3.2 the best release ever. Please push this beta to its limits: test it for your use cases and compare the performance of the new features like RocksDB. Let us know on Github any bug that you find. Don’t worry about hurting our feelings: we want to fix any problems.
Join the Beta Bug Hunt Challenge and win a $200 Amazon Gift Card as first prize. You can find more details about this reward program at the end of this post. Read more
ArangoDB Hires Seasoned Software Executives to Run Americas
Michael Guerra, former MariaDB, Basho and VMWare leader and Ramona Rolando from Oracle join to foster US growth
ArangoDB, the company behind the leading native multi-model database, winner of 2017 Red Herring Top 100 Europe, today announced that Michael Louis Guerra has formally joined as Head of Sales Americas. Mike’s responsibilities will include building a high-performance sales team and a network of partners across the region.
Mike has over 20 years of experience at public, private, as well as venture-backed startups with a particular focus on open source technologies. He’s an accomplished software sales executive with strong leadership, team building, and business development skills. Most recently, Mike was responsible for growing the Western Territory at MariaDB and Basho Technologies. He helped several companies over two decades leading to acquisitions from Morgan Stanley, Yahoo, and VMware.
Ramona Rolando, a seasoned Sales Leader from Oracle and Honeywell, also joins the team to run Inside Sales in the region. Read more
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