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About Elasticsearch
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Compare Elasticsearch with Similar Companies
Change Company | Change Company | Change Company | ||
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Overall Rating | - based on 0 reviews | 3.7/5 based on 92.2k reviews | 3.7/5 based on 54.4k reviews | 3.8/5 based on 58.2k reviews |
Highly Rated for | - | Job security Work-life balance | Job security | No highly rated category |
Critically Rated for | - | Promotions Salary Work satisfaction | Promotions Salary | Promotions |
Primary Work Policy | - | Work from office 81% employees reported | Hybrid 61% employees reported | Hybrid 75% employees reported |
Rating by Women Employees | - no rating available | 3.7 Good rated by 26.8k women | 3.8 Good rated by 15.6k women | 3.8 Good rated by 21.9k women |
Rating by Men Employees | - no rating available | 3.6 Good rated by 60.2k men | 3.7 Good rated by 36.3k men | 3.8 Good rated by 33.7k men |
Job security | - Data not available | 4.5 Good | 3.8 Good | 3.7 Good |
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Elasticsearch Salaries
Senior Contract Analyst
(1 salaries)
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₹15.5 L/yr - ₹19.8 L/yr
Senior Software Engineer
(1 salaries)
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₹47.5 L/yr - ₹52.5 L/yr
Elasticsearch Jobs
Popular Designations Elasticsearch Hires for
Cloud Engineer
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Solution Architect
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Elasticsearch News
Lakehouse: Manus? MCP? Let’s Talk About Lakehouse and AI
- AI has become an unavoidable topic across various industries since the launch of ChatGPT by OpenAI in late 2022, leading many companies to transform into AI companies quickly.
- Databricks, Snowflake, and Elasticsearch have all shifted to AI data platforms or AI-ready data analytics and search products.
- The article explores the relationship between Lakehouse and AI in the data analytics domain, focusing on the Model Context Protocol (MCP) introduced by Anthropic in late 2024.
- MCP serves as a communication protocol between large models and data sources, facilitating easy interaction and collaboration.
- By integrating with MCP, tools like Claude Desktop have enhanced efficiency in working with AI data sources.
- Apache Doris MCP Server allows for direct access and exploration of data stored in Apache Doris, demonstrating the integration of AI models with data services.
- The use of a Data Lake enables seamless collaboration among different compute engines in AI development, ensuring data consistency and real-time access.
- Analytics engines like Apache Doris provide high performance and richer SQL expression capabilities, supporting complex AI scenarios with acceptable user experience.
- In the AI era, open data formats like Iceberg and data APIs play crucial roles in enabling seamless data integration and analysis for AI applications.
- Apache Doris supports both open data formats and APIs, positioning itself as a leading data analytics engine for AI applications.
- Future articles will delve into more features of Lakehouse architecture, real-time data warehouses, and query engines like Doris in supporting AI applications and data analysis.
Dzone | 26 Mar, 2025

TDengine Achieves 10x Compression vs. Elasticsearch for Smart Vehicle Solution Provider
- A smart vehicle solutions provider faced performance issues with their tire product system due to growing data scale, leading to the decision to switch from Elasticsearch to TDengine.
- TDengine was chosen for its business suitability, operational cost benefits, high data compression ratio, and superior read/write performance compared to Elasticsearch.
- TDengine also offers low resource consumption, high availability, support for user-defined functions, and cold & hot data separation, reducing enterprise storage costs.
- The project implemented TDengine Enterprise in a three-node cluster with specific data flow architecture for tire data collection, analysis, and storage.
- TDengine's storage model, real-time stream processing capabilities, and data retention configurations were optimized for efficient data management.
- Performance results showed TDengine's 10x disk usage reduction compared to Elasticsearch, lower memory consumption, high read/write speeds, and real-time analytics capabilities.
- TDengine's advantages also include efficient time-series computation, data subscription services for near real-time visualization, and seamless data integration with third-party platforms.
- The article highlights TDengine's impact on improving system performance, reducing costs, and enabling the creation of dashboards for vehicle alert events, supporting data-driven decision-making.
Dev | 7 Mar, 2025

Apache Kafka Project: Real-Time Twitter Streaming with Python
- This article explains how to stream tweets between two services using Apache Kafka, with implementation details in Python.
- It also covers how to set up Kafka, Zookeeper, Elasticsearch, and Kibana using Docker.
- The project consists of creating a Kafka Producer to fetch tweets from the Twitter API and send them to Kafka, and a Kafka Consumer to retrieve tweets from Kafka and store them in Elasticsearch.
- The article highlights the importance of leveraging Apache Kafka for real-time data streaming and analytics.
- The project implementation also includes adding sentiment analysis to categorize tweets as positive, negative, or neutral and deploying the solution on cloud platforms.
- The code is available on the GitHub repository for readers to try and explore enhancements.
- The article requires Docker installed with Docker Compose, basic knowledge of Python, Docker, and Kafka, and a Twitter Developer Portal Account to generate the Bearer Token.
- The project demonstrates how to create a Kafka topic (twitter-stream) to stream tweets.
- The project implementation shows how to authenticate the Twitter API using the bearer token.
- The Kafka Producer fetches tweets every 30 seconds and sends them to Kafka under the twitter-stream topic.
Dev | 2 Feb, 2025

OpenSearch Flush, Translog, and Refresh
- OpenSearch flushing is the process of permanently storing data onto disk for all operations that have been temporarily stored in memory.
- When new documents are indexed in OpenSearch, they are recorded on disk in the translog and stored in memory in a buffer.
- Flushing in OpenSearch refers to the process of writing the in-memory segments onto disk and closing the current translog generation.
- Elasticsearch offers several distinct advantages over OpenSearch, including a richer feature set, enhanced optimizations, and a superior user experience.
Socprime | 23 Dec, 2024

AI-powered search: Elasticsearch’s vision for the future of enterprise innovation
- Elasticsearch B.V. is expanding its frontiers for the enterprise with AI-powered search.
- Search has evolved from lexical search to natural language question answering and conversational search.
- Elasticsearch helps ground Language Models (LLMs) on private data to power generative AI applications.
- The Elastic AI Ecosystem provides prebuilt integrations and tools to simplify the deployment of AI applications.
Siliconangle | 6 Dec, 2024

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