Search Results for "elasticsearch"

Node.js client for Elasticsearch. The client versioning follows the Elastic Stack versioning, this means that major, minor, and patch releases are done following a precise schedule that often does not coincide with the Node.js release times. Language clients are forward compatible; meaning that clients support communicating with greater or equal minor versions of Elasticsearch. Elasticsearch language clients are only backwards compatible with default distributions and without guarantees made...

It's cumbersome to create a single app. You had to design user interfaces, write code in multiple languages and frameworks, and understand how all of that code works together. Low-code/No-code platforms are fast to get started with but quickly become unmaintainable and inflexible. This creates more problems than it solves. Retool-like solutions are great for their simplicity and flexibility, but they can also be limited in different ways compared to frameworks like React/Vue. An all-in-one...

..., wherever it is: 18 SQL and non-SQL databases, files, HTTP server. Over 20 supported databases out of the box including: PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, Oracle, ClickHouse, Influx 1 (InfluxQL), Influx 2 (Flux), Prometheus, Elasticsearch, AWS Athena, Google BigQuery, Snowflake, Cassandra, Scylla, TimescaleDB, YugabyteDB, CockroachDB, CrateDB, QuestDB, and Airtable.

The Elasticsearch query DSL supports 100+ query APIs ranging from full-text search, numeric range filters, and geolocation queries to nested and span queries. Mirage is a modern, open-source web-based query explorer for Elasticsearch. It offers a blocks-based GUI for composing Elasticsearch queries and comes with an on-the-fly transformer to show the corresponding JSON query API of Elasticsearch. Queries can be saved for later reuse. They can also be captured and shared by copying the URL...

... ecosystem, promoting open collaboration and often maintaining a very low tolerance for compromise. AviaCommerce is written in Elixir and Phoenix framework. Thus, leveraging all the benefits of the battle-tested Erlang runtime, chiefly: high availability and massive scalability which results in blazing fast response times. According to the DB-Engines ranking, Elasticsearch is the most popular enterprise search engine.