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What is ObjectRocket?

As premier specialists in designing and overseeing data infrastructures for businesses on the rise, we address a variety of needs ranging from newcomers managing just 5GB of data to organizations that have escalated to over 100TB. Our extensive experience enables us to identify the ideal configuration that delivers maximum value tailored to your unique specifications. ObjectRocket offers a wide array of database instances, such as CockroachDB, Elasticsearch, MongoDB, PostgreSQL, Redis, and TimescaleDB, all guaranteed to ensure high availability and supported continuously by our expert database engineers. We manage the hosting and administration of databases for applications that span leading platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Rackspace Service Net. Each production workload on ObjectRocket's secure and automated platform is accompanied by dedicated, around-the-clock support, which includes direct access to our proficient engineers, customized plans, unlimited DBA time, and thorough 24/7 monitoring. When you partner with us, you can have peace of mind knowing your data is handled by seasoned professionals, empowering you to concentrate on what genuinely matters—driving the growth of your business. Furthermore, our commitment to continuous improvement ensures that your data infrastructure evolves alongside your expanding needs.

What is Anyrow?

Anyrow is a specialized operational database tailored for artificial intelligence, adept at converting a wide range of data types—including documents, images, audio, video, emails, and conventional databases—into structured rows within a unified relational framework. Users can access data in four distinct ways: by uploading files, migrating from competing platforms like Parseur, Docparser, Airtable, Notion, Sheets, or Postgres, enabling bidirectional synchronization with those same tools, or by executing direct CRUD operations using the dashboard grid or through a REST/SDK interface. Each of these methods can function independently, be combined, or be customized according to the specific needs of each table, allowing for flexible data management. Preserving the integrity of data sources is essential, as each row maintains its origin—whether identified by a page, bounding box, or audio timestamp—ensuring that any adjustments made will enhance the overall quality of data extraction over time while remaining unique to each user. The platform boasts support for typed columns, relational fields such as links, lookups, and rollups, as well as entity views, full-text search functionality, natural language queries, a row-level audit log, soft deletes, intelligent caching, and SSE streaming. Furthermore, it provides typed SDKs for various programming languages, including TypeScript, Python, Go, and Rust, in addition to webhooks and an OpenAPI specification for seamless integration into existing systems. Remarkably, users can expect to have their first row displayed within just 60 seconds, and a free tier is available for those interested in trying out the platform's features. This prompt onboarding process not only underscores the platform's efficiency but also its versatility, catering to a wide range of user requirements and enhancing the overall user experience. With such capabilities, Anyrow is positioned to meet the evolving needs of businesses seeking to leverage their data effectively.