Connector Database / Elasticsearch
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Elasticsearch data with AI-powered assistant.
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Generate automated reports and business intelligence insights from your Elasticsearch data—as fast as you can ask them.
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Unify your Elasticsearch data with DuckDB-powered data warehouse including Quickbooks, S3, MongoDB and HubSpot.
Extracts JSON documents from your Elasticsearch cluster across user-created indices. The connector auto-discovers indices, reads their field mappings to infer schema, and performs full-refresh syncs of index documents (excluding system indices). This enables consolidating search/application logs, telemetry, ecommerce/catalog data, and other indexed documents for downstream analytics and warehousing.
Individual JSON records stored in Elasticsearch indices (e.g., logs, events, catalog items) that serve as the core analytical rows; enable time-series trends, segmentation, error rates, and aggregate KPIs across fields.
Logical collections of documents that define dataset boundaries and schema; support per-index reporting such as document volume, freshness/retention, and schema evolution for downstream modeling.
Connects to your Elasticsearch cluster using either Basic auth (username and password) or an Elasticsearch API key (API key ID and secret). Open clusters without authentication are also supported.
Connect to Elasticsearch once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.
Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.
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I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.
Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.
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