❗Read recent blog post about Manticore vs Elasticsearch❗
Manticore Search is an easy to use open source fast database for search. Good alternative for Elasticsearch. What distinguishes it from other solutions is:
- It's very fast and therefore more cost-efficient than alternatives, for example Manticore is:
- 182x faster than MySQL for small data (reproducible❗)
- 29x faster than Elasticsearch for log analytics (reproducible❗)
- 15x faster than Elasticsearch for small dataset (reproducible❗)
- 5x faster than Elasticsearch for medium-size data (reproducible❗)
- 4x faster than Elasticsearch for big data (reproducible❗)
- up to 2x faster max throughput than Elasticsearch's for data ingestion on a single server (reproducible❗)
- With its modern multithreading architecture and efficient query parallelization capabilities, Manticore is able to fully utilize all your CPU cores to achieve the quickest response times possible.
- The powerful and speedy full-text search works seamlessly with both small and large datasets.
- Row-wise storage for small, medium and big size datasets.
- For even larger datasets, Manticore offers columnar storage support through the Manticore Columnar Library, capable of handling datasets too big to fit in RAM.
- Performant secondary indexes are automatically created, saving you time and effort.
- The cost-based query optimizer optimizes search queries for optimal performance.
- Manticore is SQL-first, utilizing SQL as its native syntax, and offers compatibility with the MySQL protocol, allowing you to use your preferred MySQL client.
- With clients available in PHP, Python, JavaScript, Java, Elixir, and Go, integration with Manticore Search becomes easy.
- Manticore also provides a programmatic HTTP JSON protocol for more versatile data and schema management.
- Built in C++, Manticore Search starts quickly and uses minimal RAM, with low-level optimizations contributing to its impressive performance.
- With real-time inserts, newly added documents are immediately accessible.
- Interactive courses are available through Interactive courses to make learning a breeze.
- Manticore also boasts built-in replication and load balancing for added reliability.
- Data can be synced from sources such as MySQL, PostgreSQL, ODBC, xml, and csv with ease.
- While not fully ACID-compliant, Manticore still supports transactions and binlog to ensure safe writes.
- Effortless data backup and recovery with built-in tools and SQL commands
When working with databases, it can be useful to have multiple copies of your data. This provides redundancy in case one of the database servers fails and can improve a database’s availability, scalability, and overall performance. The practice of synchronizing data across multiple separate databases is called replication.
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Utilisation d’Adobe Commerce et de Magento Open Source Déclencheurs de base de données MySQL pour améliorer l'accès à la base de données lors de la réindexation. Ils sont créés lorsque le mode indexeur est défini sur planning. L’application ne prend pas en charge les déclencheurs personnalisés dans la base de données, car les déclencheurs personnalisés peuvent introduire des incompatibilités avec les versions futures d’Adobe Commerce et de Magento Open Source.
Multicolumn indexes (also known as composite indexes) are similar to standard indexes. They both store a sorted “table” of pointers to the main table. Multicolumn indexes however can store additional sorted pointers to other columns.
Standard indexes on a column can lead to substantial decreases in query execution times as shown in this article on optimizing queries. Multi-column indexes can achieve even greater decreases in query time due to its ability to move through the data quicker.
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