Rockset

FEBRUARY 18, 2021

Real-time analytics is all about deriving insights and taking actions as soon as data is produced. When broken down into its core requirements, real-time analytics means two things: access to fresh data and fast responses to queries. Rockset was 9.4x

Analytics Application 52

Analytics Application SQL Database Structured Data 52

Rockset

FEBRUARY 25, 2021

However, Elasticsearch has several limitations that make it less suitable when it comes to running more complex analytical queries. Rockset, on the other hand, provides full-featured SQL and an API endpoint interface that allows developers to quickly join across data sources like DynamoDB and Kafka.

SQL 40

SQL Data Pipeline Kafka Database 40

Rockset

MARCH 15, 2021

The Demands of Real-Time Analytics Real-time analytics applications have specific demands (i.e., and your solution will only be able to provide valuable real-time analytics if you are able to meet them. Thus queries can access data in the memory itself and don’t have to wait until it is written to the disk.

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 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. Large user community.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93