BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
Alation | January 12, 2023
On January 11, 2023, Alation Inc., one of the leaders in enterprise data intelligence solutions, announced the launched of a partner program for the Open Connector Framework to deliver connectivity to new data sources. Using the Alation the Open Connector Framework, an SDK that simplifies the creation of Alation connectors, the new program creates an ecosystem of partners to extend connectivity options. Alation's new partner program complements the Open Data Quality Initiative, announced in 2022, and reinforces the company's continued commitment to open extensibility.
Alation provides connectors to more than 80 data sources, including Databricks, Snowflake, AWS, and Tableau. As the contemporary data stack becomes more complex and businesses deploy a growing number of disparate data sources, improving visibility across the data stack is crucial to improving data trust, accelerating time to value, and encouraging data-driven decision-making.
Certified partners get integration materials that guide them through the process of integrating and creating unique connections. Furthermore, certification gives consumers peace of mind by indicating that vendor-built connections are reliable and will integrate easily with Alation.
With the partner program for the open connector framework, Alation clients have access to a broader range of customer-specific BI platforms, data transformations, databases, pipeline tools, and cloud applications, as well as a more comprehensive view of their data. In addition, as partners develop innovative, new connections, clients can take metadata from almost any data source and access it via the Alation Data Catalog.
Chief Product Officer, Alation, Raj Gossain, said, "Our goal is to make Alation the most open and extensible data catalog on the market, and the Partner Program for the Open Connector Framework is a key step in that journey."
(Source: Globe Newswire)
Alation is the industry leaders in enterprise data intelligence solutions, such as data search and discovery, data stewardship, data governance, analytics, and digital transformation. The company’s initial offering dominates the data catalog market. Alation combines machine learning with human insights to effectively solve even the most challenging issues in data and metadata management, thanks to its robust Behavioral Analysis Engine, built-in collaborative features, and open APIs.
Alation has been named three times to Inc. Magazine's Best Workplaces list, is a 2022 UK's Best WorkplacesTM for Women, and is a 2022 UK's Best WorkplacesTM in Technology. The company has backing from Costanoa, Blackstone, Databricks Ventures, Dell Technologies Capital, and many others.
BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE
Aerospike | January 23, 2023
Aerospike, Inc., the leader in real-time data platforms, has launched Aerospike Connect for Elasticsearch. The new connection allows developers and data architects to use Elasticsearch, a prominent open-source search and analytics tool, to do rapid full-text searches on real-time data stored in Aerospike Database 6.
Aerospike Connect for Elasticsearch contributes to the company's 2023 goal of delivering complete search and analytics capabilities for the Aerospike Database. Using Elasticsearch, the new connection provides quick full-text searches on Aerospike Database 6 data. Additionally, it complements the recently announced Aerospike SQL powered by Starburst product, which enables users to execute large-scale SQL analytics queries on Aerospike Database 6 data.
Aerospike users now have various options to choose from to fuel their search and analytics use cases, thanks to the company's extensive list of capabilities, which now includes the newly announced JSONPath Query support in Aerospike Database 6.
Full-Text-Search for Real-time Data Use Cases
Using Aerospike Connect for Elasticsearch, developers and data architects can swiftly integrate Aerospike's high-performance, scalable, NoSQL database with Elasticsearch to allow a variety of full-text search-based use cases, such as:
Customer Support: enhanced self-service and minimized service delivery expenses.
E-commerce: enhanced client experience that increases the shopping cart size.
Website Experience: Rapid resource availability and enhanced site conversions.
Federal: Mission-critical real-time applications will be more effectively maintained in smart cities.
Workplace Applications: search across different productivity tools in one place.
Growing Portfolio of Enterprise Integrations
Aerospike Connect for Elasticsearch is expanding the Aerospike Connect product line's list of connectors for enterprise data pipelines. In addition, Aerospike clients now have additional options for integrating Aerospike's high performance and scalability into their current data pipelines as a result of the success of multiple customers utilizing connectors for Pulsar, Kafka, Spark, and Presto-Trino.
Aerospike's real-time data platform allows businesses to respond quickly across billions of transactions while decreasing their server footprint by up to 80%. The multi-cloud platform enables real-time applications with predictable sub-millisecond speed up to petabyte size, with 99.999% uptime and globally distributed, highly consistent data.
Applications built on the real-time data platform combat fraud, provide suggestions that significantly boost shopping cart size, facilitate worldwide digital payments, and give hyper-personalized user experiences to tens of millions of consumers. Customers, including Airtel, the European Central Bank, Experian, Nielsen, Snap, PayPal, Verizon Media, and Wayfair, depend on Aerospike as their future data basis. Aerospike is headquartered in Mountain View, California, and has offices in London, Tel Aviv, and Bangalore.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
DataRobot | January 11, 2023
On January 10, 2023, DataRobot, a pioneer in the artificial intelligence sector, announced the availability of DataRobot Notebooks, a notebooks solution completely integrated into the DataRobot AI platform that allows data scientists to collaborate across code-first workflows with single-click access to embedded notebooks.
Notebooks are essential for data scientists to swiftly experiment and share findings via fast environment creation, interactive computation, and code fragments. However, as the number of notebook users in a data science company rises, data science teams face issues such as managing notebooks at scale, maintaining extensive dependencies, and overwhelming and expensive libraries for data science teams.
Mike Leone, Senior Analyst at Enterprise Strategy Group, "We are entering a phase of AI governance where the collaboration and productivity gains of data science teams become increasingly important." He further mentioned, "With DataRobot Notebooks, the flexibility to develop in preferred environments, including open-source ML tooling or in the DataRobot AI platform, streamlines the code development experience and allows data scientists to better collaborate as a team in a unified environment."
(Source – Businesswire)
DataRobot Notebooks simplifies the process of code development experience for data science processes, emphasizing automation, scalability, reproducibility, and collaboration. In addition, this improved capacity provides the data science teams with unique values, including:
Interoperability: DataRobot Notebooks is compliant and interoperable with the Jupyter Notebook standard, accelerating the onboarding process for the DataRobot AI platform.
Centralized management: DataRobot Notebooks is a uniform environment with fine-grained access controls and centralized governance, allowing data scientists to swiftly collaborate, organize, and share notebooks and related assets across people and teams.
Native integration within DataRobot: DataRobot Notebooks is natively connected with the DataRobot ecosystem, enabling data scientists to run their codes directly on the platform with all the required libraries and tools.
Enhanced features: Users can now write and run custom code in cloud-based notebooks that provide access to scalable, private, and containerized computing environments.
DataRobot is the pioneer in AI cloud, providing a uniform platform for all users, data types, and environments to expedite the delivery of AI into production. Trusted by worldwide clients across industries and verticals, including a third of the Fortune 50, and providing over a trillion forecasts to the world's best businesses.