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Category: Enterprise software & integration (Page 1 of 21)

Stardog joins Databricks Partner Connect

Stardog, an Enterprise Knowledge Graph platform provider, today announced it had joined Databricks Partner Connect, which lets Databricks customers integrate with select partners directly from within their Databricks workspace. Stardog is the first Databricks partner to deliver a knowledge-graph-powered semantic layer. Now with just a few clicks, data analysts, data engineers, and data scientists can model, explore, access, and infer new insights for analytics, AI, and data fabric needs — an end-to-end user experience without the burden of moving or copying data. Together, Stardog’s availability on Databricks Partner Connect enables joint customers to:

  • Easily define and reuse relevant business concepts and relationships as a semantic data model meaningful to multiple use cases.
  • Link and query data in and outside of the Databricks Lakehouse Platform to provide just-in-time cross-domain analytics for richer insights.
  • Ask and answer questions across a diverse set of connected data domains to fuel new business insights without the need for specialized skills.

https://www.stardog.comhttps://www.databricks.com/partnerconnect

Fivetran introduces Metadata API

Fivetran announced the availability of Fivetran’s Metadata API to enable the tracking of data “in-flight” from source to destination as it moves through Fivetran-managed pipelines. With this additional visibility, customers can integrate with governance and observability tools to give data teams more control over who has access to what data. Enabling automated data governance, the Fivetran Metadata API also provides data stewards, security teams and data engineering teams the needed visibility to answer where the data came from, who accessed it, and what changes have occurred in the pipeline. With the Fivetran Metadata API:

  • Data analysts are provided with a deep understanding of where data is coming from and are able to run impact analyses on it.
  • Data stewards know end users have access to data that has been handled securely and is compliant with governance requirements.
  • Security and legal teams can complete security audits and ensure the data moved is in compliance with organizational policies.
  • Data architects and engineers will soon be able to understand upstream schema changes and ensure downstream processes are updated.

Fivetran launched better metadata management with four data catalog vendors: Atlan, data.world, Alation and Collibra.

https://www.fivetran.com/blog/governing-data-movement-with-fivetran-metadata-api

LinkrUI adds DAM syncing for Microsoft Office

Santa Cruz Software, provider of software for cross media content publishing, announced a new version of their DAM connector LinkrUI will now enable Digital Asset Manager (DAM) syncing for three Microsoft Office applications. Currently available only via DAM reselling partners, Microsoft Office functionality with LinkrUI is now compatible for applications Microsoft Word, Microsoft Powerpoint and Microsoft Excel.

LinkrUI enables direct searching, opening, placing and synchronizing of digital assets stored in a DAM system or other storage services, such as Box and Dropbox. The new version of LinkrUI automatically synchronizes assets between Microsoft Office applications and the DAM or storage service to ensure that everyone in an organization can find and work on the latest version.

LinkrUI started as an extension to Adobe applications, providing an in-app panel link between creative applications and the DAM or cloud storage service. The premium version of LinkrUI adds compatibility for Adobe Premiere and Adobe After Effects and includes additional features like live filtering and Smart-Linkr, which finds and fixes broken asset links automatically. Microsoft Office compatibility is only available in the premium version. LinkrUI for Microsoft Office is currently only available from resellers. A retail version will be announced at a later date.

https://santacruzsoftware.com/linkrui/

Algolia acquires Search.io

Algolia, an API-First Search & Discovery Platform, announced the acquisition of Search.io, whose flagship product is Neuralsearch – a vector search engine that uses hashing technology on top of vectors to provide price performance at scale. Algolia will combine its keyword search and Search.io’s Neuralsearch into a single API-First Search and Discovery platform with a hybrid search engine, which comprises both keyword and semantic search in a single API.

The combination of Algolia (with its keyword search) and Search.io (with its vector-based semantic search), enables Algolia to more effectively surface the most accurate and relevant results for users, whether they use specific keywords or natural human expressions. Many companies claim to offer some form of semantic search, however, these companies may not offer the capabilities of keyword search and vector-based semantic search in a single API cost-effectively, or the ability to scale. In essence, Algolia provides users with the ability to search as they think. With Search.io, Algolia aims to empower business users with a better way to manage the automation of unique and engaging end user experiences.

https://www.algolia.com/about/news/algolia-disrupts-market-with-search-io-acquisition-ushering-in-a-new-era-of-search-and-discovery/

Apollo GraphQL & MongoDB create stack for app developers

Apollo GraphQL and MongoDB, Inc., announced a technology partnership that helps app developers build richer experiences faster, and reduce technical debt with a graph-native data layer. The partnership makes it easier for developers and teams to directly connect any supergraph powered by Apollo to a MongoDB Atlas database. Together, an Apollo supergraph and MongoDB Atlas create a composable and scalable GraphQL data layer. It provides developers with everything they need to efficiently use GraphQL:

  • A unified API, so app developers can rapidly create new experiences
  • A modular API layer, so each team can independently own their slice of the graph
  • A seamless, high-performance, flexible data layer that scales alongside API consumption

MongoDB’s flexible database paired with the GraphQL query language allows developers to work with the database in the language of their choice with a standardized spec that has large community adoption. With the nested document model, developers can model and query data intuitively without the complexity of mapping GraphQL to relational data and defining relationships across tables. When used with MongoDB Atlas’s multi-region and multi-cloud capabilities, an Apollo supergraph gives its developers a GraphQL layer to create end-user experiences for their apps and services.

https://www.apollographql.comhttps://www.mongodb.com

MariaDB and MindsDB collaborate on machine learning

MariaDB Corporation and MindsDB, a provider of in-database machine learning tools, together announced a technology collaboration that makes machine learning predictions easy and accessible to cloud database users.  By using MindsDB in SkySQL, MariaDB’s fully managed cloud database service, data science and data engineering teams can increase their organization’s predictive capabilities to plan for and address business issues. MariaDB database users will now be able to add machine learning based predictions directly into their datasets stored in SkySQL. This simplifies the task of analyzing and predicting future trends, putting machine learning capabilities into the hands of MariaDB users, no matter their role. The use cases for business predictions cut across every business function such as finance, sales, risk analysis, logistics, operations, and marketing.

https://mindsdb.comhttps://mariadb.com/products/skysql/

Komprise automates unstructured data discovery with Smart Data Workflows

Komprise announced Komprise Smart Data Workflows, a systematic process to discover relevant file and object data across cloud, edge and on-premises datacenters and feed data in native format to AI and machine learning (ML) tools and data lakes.

Komprise has expanded Deep Analytics Actions to include copy and confine operations based on Deep Analytics queries, added the ability to execute external functions such as running natural language processing functions via API and expanded global tagging and search to support these workflows. Komprise Smart Data Workflows allow you to define and execute a process with as many of these steps needed in any sequence, including external functions at the edge, datacenter or cloud. Komprise Global File Index and Smart Data Workflows together reduce the time it takes to find, enrich and move the right unstructured data. Komprise Smart Data Workflows are relevant across many sectors. Here’s an example from the pharmaceutical industry.

https://www.komprise.com/komprise-automates-unstructured-data-discovery-with-smart-data-workflows/

Cloudflare and open source community to create new API standards

Cloudflare, Inc. announced that it is collaborating with Deno and individual core contributors of the Node.js open source project, bringing together three of the largest JavaScript environments, to give developers flexibility and choice while creating the standards of the future of edge computing. By collaborating around a common set of standards, the effort will aim to ensure code developed in one environment will work in another.

The Web-interoperable Runtimes Community Group (or “WinterCG”) is working with organizations including NearForm and Vercel to ensure that developers’ voices were heard in the creation of a new community group working within existing standards bodies. The API Standards allow developers to:

  • Use the best tool or framework for the job: It will be easier to leverage tools and integrations from the community across runtimes, allowing developers to use the best tool for the job.
  • Have a uniform approach to writing server side code: By removing platform specific nuances and the need to learn different platforms and focusing on functionality it’s easier for developers to ship better code.
  • Move applications as technology needs change: As application needs evolve and change over time there is no need for massive re-writes and adding or switching vendors.

https://blog.cloudflare.com/introducing-the-wintercg/

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