Elasticsearch: Search To Adapt to Any Use Case
Elasticsearch transforms the way companies search and analyze their data. With its ability to process and filter large amounts of data in real-time, Elasticsearch is the ideal solution for versatile use cases.
Why We Choose Elasticsearch
Scalability and Performance
Elasticsearch is highly scalable and can efficiently manage petabytes of data, making it ideal for growing businesses.
Real-Time Search
The distributed architecture and optimized data structures ensure fast and efficient search queries. Additionally, caching mechanisms and asynchronous operations enhance the system's performance and scalability.
Flexibility and Adaptability
Elasticsearch supports a variety of data types and structures, including structured, semi-structured, and unstructured data. It also supports the storage and querying of dense vectors, enabling semantic search.
»Elasticsearch is indispensable in our stack – especially because of its flexibility and speed, which allow us to search and analyze massive amounts of data in real-time.«
Co-CTO
Elasticsearch is a distributed, open search and analytics engine based on Apache Lucene. It processes JSON queries and delivers JSON data, allowing for flexible and dynamic schema definitions. By storing data as documents instead of tables, Elasticsearch offers efficient storage and retrievability.
Data Indexing: When ingesting data into Elasticsearch, it gets indexed, making it searchable. This process involves breaking down the data into smaller units to ensure efficient storage and retrieval.
Inverted Index: Elasticsearch uses an inverted index, a data structure that enables fast full-text searches. Instead of searching the text directly, Elasticsearch searches the index, significantly improving search speed.
Sharding and Replication: Data is divided into smaller units, called shards, and distributed across multiple nodes. This allows Elasticsearch to handle very large datasets. Replication ensures data durability and fault tolerance. If a node fails, data can be retrieved from the replica, ensuring continuous operation.
Queries: Elasticsearch offers a powerful query language that allows users to perform complex searches. From simple match queries to complex aggregations, Elasticsearch provides a variety of tools to derive meaningful insights from data.
Features at a Glance
Cluster and High Availability: Primary and replica shards for failover safety.
Automatic Node Recovery: Protection against data loss through immediate replica creation.
Automatic Data Rebalancing: Optimal distribution of shards across the cluster.
Horizontal Scalability: Easily expand the cluster by adding more nodes.
Security Features: SSL/TLS encryption, role-based access control (RBAC), attribute-based access control (ABAC).
Full-Text Search: Uses inverted indices for fast search queries.
RESTful APIs: Comprehensive API support for interacting with the cluster.
Integrations: Support for Apache Hadoop, Apache Spark, Business Intelligence (BI) tools, and more.
Elasticsearch offers a robust, flexible, and high-performance solution for your search and analytics needs. Let's find out together how Elasticsearch can transform your data landscape.
Ready for more?
Let’s talk about ideas, challenges, needs, and solutions.
Timothy Becker
Director Business Development
timothy.becker@turbinekreuzberg.com
+49 151 106 334 96