ArangoDB Reviews

Azure Synapse Analytics Reviews

ArangoDB mentions (4)

• Demonstrating ArangoDB VelocyPack: A High-Performance Binary Data Format

  In modern databases, efficient data serialization and deserialization are paramount to achieving high performance. ArangoDB, a multi-model database, addresses this need with its innovative binary data format, VelocyPack. This article delves into the intricacies of VelocyPack, demonstrating its advantages, usage, and how it enhances the performance of ArangoDB with code examples in Java and Rust. - Source: dev.to / 15 days ago

• How to choose the right type of database

  ArangoDB: A native multi-model database, it offers flexibility for documents, graphs, and key-values. This versatility makes it suitable for applications requiring a combination of these data models. - Source: dev.to / 4 months ago

• Spidergram is a collection of tools my company Autogram has built or enabled over the past several years to support our work to automate content inventories for large websites: it's part web crawler, part domain model, and part mad science. We released the first public beta today.

  ArangoDB, a "multi-modal" database engine that stores arbitrary JSON documents like MongoDB, key/value data like Redis, and graph relationships like Neo4j — and lets you leverage all three kinds of data in a single query. Source: over 1 year ago

• How do I install Arangodb with the default settings, without any questions to a user?

  I have a bash script and a part of it is installation of arangodb.com. I want a script to install Arangodb in such a way a user won't have select any options during installation, not even specify a password. I want it to have all the default settings, default password such as 1234, even an empty password will do, default config... Everything by default and without any questions to a user. Source: over 3 years ago

Azure Synapse Analytics mentions (3)

• Deploying a Data Warehouse with Pulumi and Amazon Redshift

  A data warehouse is a specialized database that's purpose built for gathering and analyzing data. Unlike general-purpose databases like MySQL or PostgreSQL, which are designed to meet the real-time performance and transactional needs of applications, a data warehouse is designed to collect and process the data produced by those applications, collectively and over time, to help you gain insight from it. Examples of... - Source: dev.to / over 1 year ago

• [WSJ] Facebook Parent Meta Expected to Post Slowest Revenue Growth Since IPO

  You don't run into these kinds of problems with other tools, like the ones I mentioned. I've never tried the Azure ones, but my gut says they may have some scaling issues (synapse analytics looks promising but I have no experience with it). Source: about 2 years ago

• The Difference Between Data Warehouses, Data Lakes, and Data Lakehouses.

  Popular managed cloud data warehouse solutions include Azure Synapse Analytics, Azure SQL Database, and Amazon Redshift. - Source: dev.to / about 2 years ago