The below table provides a summary of how MarkLogic Server-our multi-model database-compares directly with other popular database technologies according to their ability to power a data hub architecture. Proven reliability and advanced security for mission-critical environments Long implementation schedules, even for data science work Exponentially more complex for large projects Long ETL timelines, everything must be modeled upfront How long does it take to complete the project?ġ0x faster at integrating data than alternatives
Similar problems with needing to manage and integrate each tool separately Patchwork architecture optimized for Data Scientists. Non-relational data is a poor fit (slow, expensive)Įvery component must be individually deployed, integrated, monitored, secured, and paid for Many variations exist, but one example might include Cloudera with MongoDB (documents), Lucene (search), Neo4j (graph), and Talend (ETL)ĭoes it handle transactions and analytics? Is it multi-model? Traditional Enterprise Data Warehouse (EDW) such as Oracle integrated with a traditional ETL tool like InformaticaĬustom-built cloud data hub architecture using managed cloud service components from a large cloud provider.įor example, AWS provides DynamoDB (documents), NeptuneDB (graph), Elasticsearch Service (search), Amazon S3 (object storage), Glue (ETL), and Athena (query service)ĭata lake using Hadoop and various data model-specific databases, a search engine, and an ETL tool. The central question as you consider your overall architecture is whether it is getting simpler or more complex?ĭata hub providing flexible data integration, management, and search for all enterprise data. And, it is not either/or - many customers use a data hub alongside other technologies. Because it unifies many technologies into one data platform, our customers often compare it to the combination of other technologies that would be required to achieve similar functionality. The below table provides a high-level overview of how MarkLogic Data Hub compares. Semaphore AI Technology Create and manage metadata and transform information into meaningful, actionable intelligence with Semaphore, our no-code metadata engine.A database, search engine, data integration tool, and more, all rolled into one. MarkLogic Server Unlock value from complex data and power new opportunities with MarkLogic Server.MarkLogic Data Platform Simplify your most complex data challenges, unlock value, and achieve data agility with the MarkLogic Data Platform.
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