ifcologne
SAP Enterprise OrientDB Joining the Open-Source Community
The multi-repository documentation site generator for tech writers
Let’s do this – OtterTune automatic database tuning service announced
Is anyone already implementing such a service?
Manage blocks for Twitter API v2
Swipey Image Grids
Those pesky pull request reviews
No use of AWS specifics which would make developers live easier but doesn’t exist in Azure. SQL Standard instead of effective new datatypes or procedures that are vendor specific.
My favorite quote of the article:
> „Data has gravity“. Moving data can be both time-consuming and costly.
This is a major lock-in that is often ignored.
The True Meaning of Open Cloud
An Unlikely Database Migration
Apache Arrow 2.0.0 Release
Statement from the PostgreSQL Core Team on the EDB Acquisition of 2ndQuadrant
The New Microsoft Threat Protection APIs
TigerGraph 3.0
Nebula Graph Database Raises $8M in Series Pre-A Funding
Amazon Elastic Container Service now supports Amazon EFS file systems
CouchDB 3.0
Momentum \ Urgency
Advice from a GraphQL Expert
Age-Partitioned Bloom Filters
Advanced Query Accelerator (Aqua) for Amazon Redshift
Failure Modes and Continuous Resilience
KsqlDB: The Event Streaming Database
If you need to scale-out, the ArangoDB packages are more affordable then MongoDB Atlas, as you don't need to spin-up a whole 3 node replica-set to add another shard to your cluster. The smaller instances are cheaper in Atlas, here you benefit from the established cloud service, which can negotiate better conditions with the large cloud providers. However, we will pass on lower cloud costs to customers, so there is hope that we will move closer over time. But, I don't see ArangoDB in direct competition with smaller, pure document-use cases. Most users need the multi-model capabilities and use graphs in combination with document operations.
A lot of users don't care and are used to these tactics. Is there a chance that this will change in the future? I hope so.
Public Datasets: Weather and Climate
Supporting Efficient Snapshot Isolation for Hybrid Workloads [pdf]
Node-Red Version 1.0 Released
More and more products support multiple data models today.
This reduces the number of technologies in your tech stack and allows to combine different access patterns without the need to duplicate and sync data between systems.