Rockset

APRIL 15, 2021

Relational databases today are widely known to be suboptimal for supporting high-scale analytical use cases, and are all but certain to run into issues as your production data size and query volume grow. Rockset also has first-class query performance on a variety of complex queries and, most importantly, is horizontally scalable.

PostgreSQL 40

PostgreSQL MySQL Relational Database NoSQL 40

Rockset

MARCH 26, 2023

Breaking Bad… Data Silos We haven’t quite figured out how to avoid using relational databases. Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack.

Cloud 52

Cloud PostgreSQL Kafka Database 52

Rockset

OCTOBER 11, 2022

Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams. Logstash offers a JDBC input plugin that polls a relational database, like PostgreSQL or MySQL, for inserts and updates periodically.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Edureka

FEBRUARY 9, 2023

Apache Kafka: Apache Kafka is a decentralized publish-subscribe messaging system designed to handle data streams with high volume, high throughput, and low latency. Apache Kafka is highly scalable, fault-tolerant, and scalable, and it provides reliable support for large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

LinkedIn Engineering

MAY 11, 2023

For MaaS, the starting point was co-hosting the web service, relational database ( Postgres ), and Redis -based caching layer on a server. There was reliance on an unmanaged data layer.Redis (for caching) and PostgreSQL (as primary datastore)served as single points of failure for this product.

Management 101

Management PostgreSQL MySQL Kafka 101

Confluent

JUNE 18, 2019

Using SQL to run your search might be enough for your use case, but as your project requirements grow and more advanced features are needed—for example, enabling synonyms, multilingual search, or even machine learning—your relational database might not be enough. Building an indexing pipeline at scale with Kafka Connect.

Architecture 96

Architecture Building Kafka Database-centric 96

Knowledge Hut

NOVEMBER 19, 2023

Open Source Support: Many Azure services support popular open-source frameworks like Apache Spark, Kafka, and Hadoop, providing flexibility for data engineering tasks. Microsoft Azure SQL Database The SQL database is Microsoft's premier database offering.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Confluent

FEBRUARY 12, 2019

One of the most common integrations that people want to do with Apache Kafka ® is getting data in from a database. That is because relational databases are a rich source of events. The existing data in a database, and any changes to that data, can be streamed into a Kafka topic. What we’ll cover.

Kafka 88

Kafka MySQL Bytes Java 88

Cloudera

MARCH 23, 2023

An MV is a special type of sink that allows us to output data from our query into a tabular format persisted in a PostgreSQL database. Primary key Every MV requires a primary key, as this will be our primary key in the underlying relational database as well. Why use a materialized view?

SQL 76

SQL Kafka PostgreSQL Database 76

Netflix Tech

DECEMBER 17, 2019

In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. In order to be supported, a database is required to fulfill a set of features that are commonly available in systems like MySQL, PostgreSQL, MariaDB, and others. Supporting Relational Databases.

MySQL 84

MySQL PostgreSQL Database Transportation 84

Netflix Tech

DECEMBER 17, 2019

In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. In order to be supported, a database is required to fulfill a set of features that are commonly available in systems like MySQL, PostgreSQL, MariaDB, and others. Supporting Relational Databases.

MySQL 79

MySQL PostgreSQL Database Transportation 79

Rockset

SEPTEMBER 13, 2022

It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases. As Rockset ingests data from your primary database, it then indexes your data in a Converged Index , which borrows concepts from: a row index, an inverted index, and a columnar index.

SQL 52

SQL Database Relational Database AWS 52

AltexSoft

SEPTEMBER 21, 2023

Fields in these documents are defined and governed by mappings akin to a schema in a relational database. Data in Elasticsearch is organized into documents, which are then categorized into indices for better search efficiency. Each document is a collection of fields, the basic data units to be searched.

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40