Rockset

SEPTEMBER 15, 2020

Before the advent of real-time databases, a user would typically use a data pipeline to clean and homogenize all the fields, flatten nested fields, denormalize nested objects and then write it out it to a data warehouse like Redshift or Snowflake. The data warehouse is then used to gather insights from their data.

Bytes 40

Bytes Database Data Warehouse Data Pipeline 40

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Rockset

JANUARY 19, 2021

Figure 1: Rockset’s cloud-native architecture, decoupling ingest compute (Tailers), storage (Leaf Nodes), and query compute (Aggregators) If the idea of decoupling compute and storage is new to you, there are many modern software architectures that utilize this technique. it is made more durable.

Management 40

Management Datasets Architecture Cloud Storage 40