Teradata QueryGrid Reviews

Reactive Programming can be used on the back-end without the use of complex languages or cumbersome frameworks. Triggers, Actors, and Event Collections make it simple to build data pipelines. They also allow you to work with data streams using simple SQL syntax. This makes it easier for users to avoid the complexities of distributed systems development. Extensible data modeling is a key feature. It supports rich semantics, schema definition, and allows for real-world objects to be represented. Data shaping rules and validation on the fly support a variety of formats, including JSON and XML. This allows you to easily define and evolve your schema while keeping up with changing business requirements. If you can describe it, we can query it. Are you familiar with Javascript and SQL? You already know how to use the database engine. No matter what format you use, a powerful query engine allows you to instantly test logic expressions or functions. This speeds up development and simplifies deployment for unmatched data agility.

EraSearch is purpose-built for cloud-native deployments. It offers a dynamic data fabric that leverages storage & compute decoupled storage and compute, a true zero schema design, and adaptive indexing. This allows you to provide an infinitely-scalable log management experience at a remarkable reduction in cost and complexity. Elasticsearch is used to build many log management products. To solve the key problems of EraSearch, we built it from scratch. It is easy to manage EraSearch with K8s by adopting a stateless design of all core components. Elasticsearch is used to build many log management products. To solve the key problems of EraSearch, we built it from scratch. EraSearch is able to handle data at a significantly reduced cost by using a modern, coordinated ingest design. EraSearch is completely hands-off so you don't have to worry about cluster health.