Spark Integrations

Sematext Cloud is an innovative, unified platform with all-in-one solution for infrastructure monitoring, application performance monitoring, log management, real user monitoring, and synthetic monitoring to provide unified, real-time observability of your entire technology stack. It's used by organizations of all sizes and across a wide range of industries, with the goal of driving collaboration between engineering and business teams, reducing the time of root-cause analysis, understanding user behaviour and tracking key business metrics. The main capabilities range from log monitoring to APM, server monitoring, database monitoring, network monitoring, uptime monitoring, website monitoring or container monitoring Find complete details on our website. Or better: start a free demo, no email address required.

Business Intelligence, AI & NLP for anyone to make data-driven decisions. Knowi instantly transforms any data into insights and data driven actions. No ETL. No ODBC drivers. You just connect your datasources and start building queries. Simple as that. Create blended datasets by joining data from NoSQL, SQL, REST-API, and even file-based sources in a matter of minutes. Click. Done. We've combined the power of AI and natural language queries to deliver a new self-service BI experience that makes it easier for anyone to find and expose new insights. Today's data is big and messy and located all over the place. To analyze modern data, you need an business intelligence solution that can instantly connect to any data, structured or unstructured, without the hassle and expense of moving or transforming it. Knowi is the only full stack analytics platform that natively integrates to all the popular NoSQL data stores, as well as relational and Cloud APIs sources.

Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics. Speed up your analytics workflow by transforming datasets to answer ad-hoc questions and support operational dashboards. Empower everyone on your team with our SQL or Drag-and-Drop to transform your data in an intuitive and collaborative workspace. And best of all, everything happens in Snowflake. Datameer is designed and optimized for Snowflake to reduce data movement and increase platform adoption. Some of the problems Datameer solves: - Analytics is not accessible - Drowning in backlog - Long development

Algonomy’s real-time CDP helps marketers provide consistent personalized customer engagement in the moment. It enables real-time activation of audiences by unifying customer identities across online and offline channels for a single view. It is built for retail with the ability to track customer behavior using 1,200+ measures and dimensions out of the box. It uses ML algorithms to create micro-segments, throw up deep insights and uncover marketing opportunities throughout the customer lifecycle.

HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Apache TinkerPop 3 framework, various complicated graph queries can be accomplished through Gremlin (a powerful graph traversal language). Among its features, it provides compliance to Apache TinkerPop 3, supporting Gremlin. Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel. Multi-type Indexes, supporting exact query, range query and complex conditions combination query. Plug-in Backend Store Driver Framework, supporting RocksDB, Cassandra, ScyllaDB, HBase and MySQL now and easy to add other backend store driver if needed. Integration with Hadoop/Spark. HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax.

BDB is a modern data analytics and BI platform which can skillfully dive deep into your data to provide actionable insights. It is deployable on the cloud as well as on-premise. Our exclusive microservices based architecture has the elements of Data Preparation, Predictive, Pipeline and Dashboard designer to provide customized solutions and scalable analytics to different industries. BDB’s strong NLP based search enables the user to unleash the power of data on desktop, tablets and mobile as well. BDB has various ingrained data connectors, and it can connect to multiple commonly used data sources, applications, third party API’s, IoT, social media, etc. in real-time. It lets you connect to RDBMS, Big data, FTP/ SFTP Server, flat files, web services, etc. and manage structured, semi-structured as well as unstructured data. Start your journey to advanced analytics today.

As the newest edition to the IBM dashDB family, dashDB Local rounds out IBM's hybrid data warehouse strategy, providing organizations the most flexible architecture needed to lower the cost model of analytics in the dynamic world of big data and the cloud. How is this possible? Through a common analytics engine, with different deployment options across private and public clouds, analytics workloads can be moved and optimized with ease. dashDB Local is now an option when you prefer deployment on a hosted private cloud or on-premises private cloud through a software-defined infrastructure. From an IT standpoint, dashDB Local simplifies deployment and management through container technology, with elastic scaling and easy maintenance. From a user standpoint, dashDB Local provides the speed needed to quickly cycle through the process of data acquisition, applies the right analytics to meet a specific use case, and operationalizes the insights.

The CData API Server is the fastest and easiest way to build and deploy data driven APIs. With API Server users can create APIs that deliver application back–ends for internal applications, facilitate mobile development projects, expose data as a service, and deploy enterprise–class microservices. The API Server is an installed application that includes everything needed to create, run, manage and secure APIs - all without custom development. It enables you to create and deliver self-contained API endpoints, on-premise or to the cloud - that connect to any application or database and translate REST, JSON, and OData API calls to your configured IT resources. Complete with API critical features like access-control, data security, monitoring, and management, API server is a powerful tool to help modernize your back-end infrastructure. Download a 30-day free trial of CData API Server or learn more at: https://www.cdata.com/apiserver/

Atlas is a scalable and extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within Hadoop and allows integration with the whole enterprise data ecosystem. Apache Atlas provides open metadata management and governance capabilities for organizations to build a catalog of their data assets, classify and govern these assets and provide collaboration capabilities around these data assets for data scientists, analysts and the data governance team. Pre-defined types for various Hadoop and non-Hadoop metadata. Ability to define new types for the metadata to be managed. Types can have primitive attributes, complex attributes, object references; can inherit from other types. Instances of types, called entities, capture metadata object details and their relationships. REST APIs to work with types and instances allow easier integration.

Mage™ Static Data Masking (SDM) and Test data Management (TDM) capabilities fully integrate with Imperva’s Data Security Fabric (DSF) delivering complete protection for all sensitive or regulated data while simultaneously integrating seamlessly with an organization’s existing IT framework and existing application development, testing and data flows without the requirement for any additional architectural changes.

Mage™ Dynamic Data Masking module of the Mage data security platform has been designed with the end customer needs taken into consideration. Mage™ Dynamic Data Masking has been developed working alongside our customers, to address the specific needs and requirements they have. As a result, this product has evolved in a way to meet all the use cases that an enterprise could possibly have. Most other solutions in the market are either a part of an acquisition or are developed to meet only a specific use case. Mage™ Dynamic Data Masking has been designed to deliver adequate protection to sensitive data in production to application and database users while simultaneously integrating seamlessly with an organization's existing IT framework without the requirement of any additional architectural changes.​