Based on our record, DuckDB should be more popular than Apache HBase. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 4 months ago
NoSQL databases are non-relational databases with flexible schema designed for high performance at a massive scale. Unlike traditional relational databases, which use tables and predefined schemas, NoSQL databases use a variety of data models. There are 4 main types of NoSQL databases - document, graph, key-value, and column-oriented databases. NoSQL databases generally are well-suited for unstructured data,... - Source: dev.to / 11 months ago
HBase, A scalable, distributed database that supports structured data storage for large tables. - Source: dev.to / over 1 year ago
Today, it is normal for enterprises to leverage diversified databases. In my market of expertise, China, in the Internet industry, MySQL together with data sharding middleware is the go to architecture, with GreenPlum, HBase, Elasticsearch, Clickhouse and other big data ecosystems being auxiliary computing engine for analytical data. At the same time, some legacy systems (such as SQLServer legacy from .NET... - Source: dev.to / about 2 years ago
For this type of systems PostgreSQL not best solution, and for a number of reasons like lack of replication out of the box. And we strictly must not have «Vendor lock», and therefore also did not take modern SQL databases like Amazon Aurora. And end of the ends the choice was made in favor Cassandra, for this article where we will talking about low-lever implementation of Repository Pattern it is not important, in... - Source: dev.to / over 2 years ago
I have lived through the hype of Big data it was a time of HDFS+HTable I guess and Hapoop etc. One can't go wrong with DuckDB+SQLite+Open/Elasticsearch either with 6 to 8 even 10 TB of data. [0]. https://duckdb.org/. - Source: Hacker News / 23 days ago
More than once, I have been in a situation where I needed to query CloudTrail logs but was working in a customer environment where they weren’t aggregated to a search interface. Another similar situation is when CloudTrail data events are disabled for cost reasons but need to be temporarily turned on for troubleshooting/audit purposes. While the CloudTrail console offers some (very) limited lookups (for management... - Source: dev.to / 29 days ago
DuckDB: An in-process SQL OLAP database management system. While not a traditional OLAP database, DuckDB is designed to execute analytical queries efficiently, making it suitable for analytical workloads within data-intensive applications. - Source: dev.to / 4 months ago
Easiest way to practically use SIMD table scan database is try out DuckDB: https://duckdb.org/. - Source: Hacker News / 4 months ago
Duckdb so we can make OLAP like queries on the data. - Source: dev.to / 7 months ago
Apache Ambari - Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters.
Apache Druid - Fast column-oriented distributed data store
Apache Pig - Pig is a high-level platform for creating MapReduce programs used with Hadoop.
OctoSQL - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL. - cube2222/octosql
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
MonetDB - Column-store database