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An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner. | Marqo is an AI-native ecommerce search and product discovery platform built to turn product discovery into revenue. Designed for mid-market and enterprise retailers, Marqo powers high-performing on-site search, recommendations, and merchandising with AI that learns directly from each retailer’s unique product catalog. Unlike traditional site search tools that rely on generic ranking models, Marqo trains a dedicated AI model per customer, enabling a deeper understanding of product attributes, brand context, and shopper intent. The result is faster product discovery, more relevant search results, and personalized recommendations that drive measurable improvements in conversion rate and average order value. Built for ecommerce at scale, Marqo supports large and complex catalogs and integrates with platforms including Shopify, Adobe Commerce, and Salesforce Commerce Cloud. Trusted by brands such as Redbubble, KICKS CREW, and Fashion Nova, Marqo helps retailers unlock measurable revenue impact from every search and browse session. |
Resilience; High Performance; Scalability; Enterprise Grade; Cloud-native; Kubernetes; PostgreSQL-compatible; Geo-Distributed; Hybrid Cloud | State of the art embeddings;
Scale to hundred-million document indexes with horizontal index sharding;
Vector generation, storage, and retrieval are provided out of the box |
Statistics | |
GitHub Stars 9.9K | GitHub Stars 5.0K |
GitHub Forks 1.2K | GitHub Forks 218 |
Stacks 50 | Stacks 0 |
Followers 114 | Followers 1 |
Votes 1 | Votes 0 |
Pros & Cons | |
Pros
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Integrations | |

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.