Strapi, provider of an open-source “headless” content management system (CMS), announced the stable release of Strapi v4, including a new design system, user interface, plug-in API (application programming interface), database query engine, and improved REST and GraphQL API performance.
Strapi enables developers to build projects fast by providing a customizable API that lets them use their favorite tools. Content teams can use Strapi independently to manage all types of content and distribute it from the central CMS to any channel, including websites, mobile apps, or connected devices. With Strapi v4, Community users are able to:
- Easily create and maintain plug-ins thanks to a new programmatic API and an inclusive Design System optimized for accessibility, thus providing a much smoother experience for both developers and content managers.
- Quickly migrate and upgrade between different Strapi versions.
- Give control to plug-in and application developers on data querying through a more flexible and powerful database query engine.
- Make the REST and GraphQL API simpler, more powerful and customizable.
- Manage the access of the Content API through API Tokens administered from the admin panel to authenticate REST and GraphQL queries.
- Quickly spot and fix errors in applications with standardized error codes and context.
MarkLogic Corporation, a complex data integration and portfolio company of Vector Capital, announced it has acquired Smartlogic, a metadata management semantic AI technology solutions provider. As part of the transaction, Smartlogic’s founder and Chief Executive Officer, Jeremy Bentley, as well as other members of the senior management team, will join the MarkLogic executive team. Financial terms of the transaction were not disclosed.
Founded in 2006, Smartlogic has deciphered, filtered, and connected data for many of the world’s largest organizations to help solve their complex data problems. Global organizations in the energy, healthcare, life sciences, financial services, government and intelligence, media and publishing, and high-tech manufacturing industries rely on Smartlogic’s metadata and AI platform to enrich enterprise information with context and meaning, as well as extract critical facts, entities, and relationships to power their businesses.
https://www.marklogic.com/ ■ https://www.smartlogic.com
Jina AI, an open-source neural search company, announced $30 million in Series A financing from Canaan Partners, Mango Capital, GGV Capital, SAP.iO, and Yunqi Partners. The company, founded in February 2020, previously raised $39 million in total. With Jina AI’s core project, which is being built in the open on GitHub, users can create a cloud-native neural search solution with deep learning in a matter of hours. The company recently released another product called Finetuner, which lets users tune a neural search system for unique needs.
Jina AI has a developer community over 1,000, and adoption of its framework, enabling neural search applications for use cases as diverse as 3D assets for gaming content production, images on e-commerce sites and a Q&A chatbot that understands hybrid queries. Many applications built on top of Jina do not have (or need) a classic search box. For example:
- One video game developer embeds Jina in the right-click menu of their 3D game editor, helping game developers auto-fill game assets for the current scene.
- Another European legal-tech startup uses Jina to enable a question-answering experience on their millions of PDF documents, enabling them to pinpoint the crucial facts and terms via chatbot.
Meltwater B.V., a global SaaS provider of media intelligence and social analytics, has entered into a definitive agreement to acquire artificial intelligence start-up DeepReason.ai, a spin-off from Oxford University’s computer science department, for $7.3m in a combination of cash and Meltwater equity including earn-outs contingent on reaching technical milestones and retention requirements.
DeepReason.ai was established in 2018, to focus on the field of AI known as “reasoning”. Their technology is based on the Value Added Data Systems (VADA) research project, which was funded by UK research council EPSRC. This work represents 75 years of aggregate R&D experience, and is overseen by Georg Gottlob, Oxford professor and Fellow of the Royal Society. DeepReason.ai has developed a reasoning engine with an ability to maintain incremental views of knowledge graphs to solve the costly challenge of updating and maintaining complex knowledge graphs at scale.
Meltwater ingests and processes over 800 million documents a day, extracting new information on over 14 million companies, 50 million public personas (such as key decision makers within those companies and social media influencers) and 75 million topics. Every day, this knowledge graph expands by incorporating 2 billion connections to conversations around these companies, public personas and topics.
Databricks, a data and AI company and pioneer of the data lakehouse architecture, announced Databricks Partner Connect, a one-stop portal for customers to discover a broad set of validated data, analytics, and AI tools and integrate them with their Databricks lakehouse across multiple cloud providers. Integrations with Databricks partners Fivetran, Labelbox, Microsoft Power BI, Prophecy, Rivery, and Tableau are initially available to customers, with Airbyte, Blitzz, dbt Labs, and more to come in the months ahead.
In just a few clicks, Partner Connect will automatically configure resources such as clusters, tokens, and connection files for customers to connect with data ingestion, prep and transformation, and BI and ML tools. Partner Connect will also enable customers to discover new, pre-validated solutions from Databricks partners that complement their expanding business needs. With Partner Connect, customers can easily extend their lakehouse into every corner of their data ecosystem to solve current and future challenges.
Partner Connect is now available for Databricks customers at no additional cost; new partner solutions, pre-built lakehouse integrations, machine learning models and libraries, and additional data providers will be added as the ecosystem continues to develop.
From the Netlify blog…
Today we’re thrilled to announce that Y Combinator and SignalFire-backed OneGraph is joining Netlify. We launched Netlify in 2015 to help developers move from legacy monolithic web architecture to Jamstack, where the web presentation layer is decoupled from backend logic. OneGraph will drive innovation in the Netlify platform to make it even easier to build and manage integrations across third-party services as well as access to your own internal services and data. OneGraph uses GraphQL as a modern standard for connecting these services, using great tooling that’s fast, extensible, and reliable. We’re excited for a future where developers have a unified way to access the APIs and services they choose on Netlify. OneGraph’s co-founders Sean Grove and Daniel Woefel will be leading API ecosystem strategy here at Netlify and an integral part of the engineering team.
While fully integrating OneGraph into Netlify will take some time, we’re excited to announce the first step in making multi-app service integrations easier – officially launching API Authentication, through Netlify Labs. With one-click in the Netlify UI, you can now generate and manage authentication tokens for a catalog of third-party APIs. The feature is available to all Netlify users from the Netlify Labs dashboard.
Snowflake announced at its Snowday event that data scientists, data engineers, and application developers can now use Python, in addition to Java and Scala, natively within Snowflake as part of Snowpark, Snowflake’s developer framework. With Snowpark for Python, developers will be able to collaborate on data in their preferred language. At the same time, they can leverage the security, governance, and elastic performance of Snowflake’s platform to build scalable, optimized pipelines, applications, and machine learning workflows. Snowpark for Python is currently in private preview. As a result of the recently announced partnership with Anaconda, Snowflake users can now access the popular ecosystem of Python open source libraries, without the need for manual installs and package dependency management. Additional Snowflake and Snowpark capabilities include:
- Cross-cloud account replication
- Improved replication performance
- Expanded governance capabilities and integration
- Snowpark: Stored Procedures
- Snowpark: Unstructured File Processing
- Snowpark: Logging Framework
Datadobi Software, provider of unstructured data management software, announced enhancements to its vendor-neutral unstructured data mobility engine with the introduction of DobiMigrate’s API. Version 5.13 will allow organizations to programmatically configure unstructured data migrations using the API.
Using the DobiMigrate API, customers and partners can now extend existing automated storage provisioning workflows with the necessary data migration steps. Organizations can first use the storage system APIs to provision a new group of on-premises or cloud storage and then use the DobiMigrate API to set up the NAS or object migration. Following the cutover to the new storage, the administrator can then again use storage systems APIs to deprovision the original storage.
Customers can also use the DobiMigrate API in conjunction with the Datadobi file system assessment service. The file system assessment service provides customers with insights into the state of the unstructured data estate. Characteristics of file systems from a global level through individual storage systems and sub-file servers/virtual file servers is provided in a detailed report, allowing customers to make informed decisions on how to organize and move their data. The DobiMigrate API can then be used to establish the required migrations of individual datasets between systems.