StarTree
StarTree Cloud functions as a fully-managed platform for real-time analytics, optimized for online analytical processing (OLAP) with exceptional speed and scalability tailored for user-facing applications. Leveraging the capabilities of Apache Pinot, it offers enterprise-level reliability along with advanced features such as tiered storage, scalable upserts, and a variety of additional indexes and connectors. The platform seamlessly integrates with transactional databases and event streaming technologies, enabling the ingestion of millions of events per second while indexing them for rapid query performance. Available on popular public clouds or for private SaaS deployment, StarTree Cloud caters to diverse organizational needs. Included within StarTree Cloud is the StarTree Data Manager, which facilitates the ingestion of data from both real-time sources—such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda—and batch data sources like Snowflake, Delta Lake, Google BigQuery, or object storage solutions like Amazon S3, Apache Flink, Apache Hadoop, and Apache Spark. Moreover, the system is enhanced by StarTree ThirdEye, an anomaly detection feature that monitors vital business metrics, sends alerts, and supports real-time root-cause analysis, ensuring that organizations can respond swiftly to any emerging issues. This comprehensive suite of tools not only streamlines data management but also empowers organizations to maintain optimal performance and make informed decisions based on their analytics.
Learn more
DataBuck
Ensuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.
Learn more
TreasuryPay
Instant™ offers a comprehensive solution for Enterprise Data and Intelligence, enabling organizations to monitor transaction data in real-time from any corner of the globe. With a single network connection, users gain access to essential information regarding accounting, liquidity management, marketing, and supply chain operations on a worldwide scale. This capability empowers businesses with crucial enterprise intelligence, enhancing their decision-making processes. The TreasuryPay product suite not only streams global receivables information but also delivers immediate accountancy and cognitive services. It stands out as the most sophisticated platform for insights and intelligence available to multinational organizations. By harnessing this technology, companies can seamlessly distribute enriched information across their entire global network. Transitioning to this advanced system is straightforward, and the Return on Investment is exceptional. With TreasuryPay Instant™, actionable intelligence and global accountancy are now available in real-time, revolutionizing how organizations operate. Furthermore, this innovation positions companies to respond more swiftly to market dynamics, enhancing their competitive edge.
Learn more
KX Streaming Analytics
KX Streaming Analytics provides an all-encompassing solution for the ingestion, storage, processing, and analysis of both historical and time series data, guaranteeing that insights, analytics, and visual representations are easily accessible. To enhance user and application efficiency, the platform includes a full spectrum of data services such as query processing, tiering, migration, archiving, data protection, and scalability. Our advanced analytics and visualization capabilities, widely adopted in finance and industrial sectors, enable users to formulate and execute queries, perform calculations, conduct aggregations, and leverage machine learning and artificial intelligence across diverse streaming and historical datasets. Furthermore, this platform is adaptable to various hardware setups, allowing it to draw data from real-time business events and substantial data streams like sensors, clickstreams, RFID, GPS, social media interactions, and mobile applications. Additionally, KX Streaming Analytics’ flexibility empowers organizations to respond dynamically to shifting data requirements while harnessing real-time insights for strategic decision-making, ultimately enhancing operational efficiency and competitive advantage.
Learn more
