Metabase is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. 📊 Cube - The Semantic Layer for Building Data Applications An open-source business intelligence tool. Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum: High level Python client for Elasticsearch A lightning-fast search engine that fits effortlessly into your apps, websites, and workflow.
ELASTICSEARCH METABASE SOFTWARE
Apache Lucene and Solr open-source search software Apache Superset is a Data Visualization and Data Exploration Platform When comparing Elasticsearch and OpenSearch you can also consider the following projects:
Loki has recently moved to TSDB for the backend storage, these benchmarks don't go there.Įlastic can use less disk if you configure for synthetic source ( ) which discards the raw byte copy of the ingested data and only retains knowledge in the indexes, and uses the indexes to reconstruct the source should you request it. They all have sweet spots, and a benchmark is not going to answer the real questions - what data volume do you have, what do you value (ingest and preserve everything vs fastest query speed for ad-hoc queries vs a balanced approach), do you know how you want to query the data, etc? Now the ingest cost is balanced, and the query performance is great - but it did this at the cost of you knowing your data and how you're going to query it most of the time - it's not so good for esoteric questions that you'd never anticipated (though you can get very far through some of their column data types allowing you to be reasonably flexible on this). It does this at the cost of query performance over very large data sets - without indexes it brute forces via mapreduce, which means you really want to specific where to look (which log streams) and when to look (a time window) and in that it excels.ĬlickHouse sweet spot is the indexes are very explicitly configured by engineers who know what the data looks like and how they want to query it. Loki sweet spot is that it has very few indexes, so ingestion is cheap and extremely capable for huge data volumes. But it does this at the cost of ingest as it's doing the work to build indexes during ingestion and so ingest is more CPU intensive and can hit limits here. Grafana with 29.7K GitHub stars and 5.64K forks on GitHub appears to be more popular than Metabase with 15.6K GitHub stars and 2.09K GitHub forks.Īccording to the StackShare community, Grafana has a broader approval, being mentioned in 579 company stacks & 325 developers stacks compared to Metabase, which is listed in 84 company stacks and 17 developer stacks.And what it depends on are your data volume, how you want to query, whether you value ingestion greater than query speed and timeliness and so forth.Įlastic sweet spot is that it indexes everything, and you can query fast as a result. Grafana and Metabase are both open source tools. "Beautiful" is the primary reason why developers consider Grafana over the competitors, whereas "Database visualisation" was stated as the key factor in picking Metabase. Grafana and Metabase are primarily classified as "Monitoring" and "Business Intelligence" tools respectively. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating. But supports other data sources via plugins Metabase: An open-source business intelligence tool. It currently has rich support for for Graphite, InfluxDB and OpenTSDB.
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It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. Grafana is a general purpose dashboard and graph composer. Grafana: Open source Graphite & InfluxDB Dashboard and Graph Editor. Grafana vs Metabase: What are the differences?
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