Best Big Data Processing And Distribution Systems - Page 8

Market Locator

Market Locator is a big data monetization solution for telcos. This data monetization platform helps major telcos monetize their big data and provide it to internal marketing as well as 3rd party businesses and the public sector for location intelligence, targeted marketing and KYC / risk scoring. Thanks to the unique approach & architecture it allows telcos to unlock the value they believe to have in data, and to do so in a customer fair & GDPR-like regulation compliant way. Tested and proven on several markets with world-class telcos such as Slovak Telekom (Deutsche Telekom Group), Orange, O2 or STC. Delivered on a SaaS license fee model. Get the most out of your data!

MPS IntelliVector

MPS IntelliVector is a data extraction and process automation solution tailored for the financial, insurance and government sector.

Observo Data Lake

Observo Data Lake is an AI-powered observability platform designed to help organizations optimize their observability data, significantly reduce costs, and enhance incident response times. By leveraging advanced AI and machine learning models, Observo Data Lake enables businesses to streamline their data management processes, ensuring efficient and cost-effective operations.

openQRM

Increased automation & flexibility - Ramp up your Revenue through higher efficiency! Easily extend your datacenter capacity by shifting load to Amazon AWS EC2, Azure, etc. openQRM Enterprise - Enterprise Edition.

Phizzle

Phizzle's phz.io solution provides a fast, flexible way for brands to gather, analyze, and act on customer-generated data at massive scale.

PivotBillions

Polars

Open-source library for data manipulation known for being one of the fastest data processing solutions on a single machine. Features a Rust-based multi-threaded query engine optimized for performance through vectorized and columnar processing.

RisingWave

RisingWave is an open-source distributed SQL streaming database designed for the cloud.It is designed to reduce the complexity and cost of building real-time applications. RisingWave consumes streaming data, performs incremental computations when new data comes in, and updates results dynamically. As a database system, RisingWave maintains results in its own storage so that users can access data efficiently. For more details about RisingWave, see https://risingwave.com/.

Rocket TeraSAM

Rocket TeraSAM improves application performance and efficiency through better management of VSAM files. TeraSAM transparently segments large VSAM files and allows segmented data sets to be accessed directly. This opens the door to improved storage resource management and increased VSAM performance.

SnowcatCloud

The easiest, fastest, and most affordable way to run a production-ready Snowplow. SnowCatCloud is a hosted Snowplow solution for companies who do not have the technical resources to set up and manage Snowplow in a production environment. - Fully featured Snowplow - Cloud costs included - No data engineers necessary - Deliver event-level data to S3, Redshift, BigQuery, Snowflake, and ElasticSearch in real-time - No lock-in contracts, migrate to your own Snowplow anytime https://www.youtube.com/watch?v=Yx3Z733ElgI

Solix Common Data Platform

Solix Common Data Platform (CDP) is a uniform data collection, retention management and bulk data storage solution for structured and unstructured data. The Solix CDP features enterprise archiving, data lake, data governance and advanced analytics applications to help organizations achieve data-driven business results.

SpeedX

Stackable Data Platform

The Stackable Data Platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka®, Apache Druid, Trino and Apache Spark™. While other current offerings either push their proprietary solutions or deepen vendor lock-in, Stackable takes a different approach. All data apps work together seamlessly, and can be added or removed in no time. Based on Kubernetes, it runs everywhere – on-prem or in the cloud.

TIBCO ActiveSpaces

In-memory computing with TIBCO ActiveSpaces provides a distributed, scale-out, in-memory data grid, delivering a consistent, fault-tolerant database that supports scalability for mixed read/write workloads and full System of Record capabilities. ActiveSpaces draws on available server memory but also stores to local disk for data safety and for scaling to handle processing of the largest data volumes.

vLens

vLens is a robust data management and analytics platform developed by Vichara Technologies, designed to handle extensive datasets and transform raw data into actionable insights. It specializes in managing a wide array of mortgage securities data, offering seamless integration of new datasets to meet evolving analytical needs. Key Features and Functionality: - Data Management & Mappings: vLens ensures real-time, zero-lag availability of both agency and non-agency mortgage data from sources like CoreLogic, Lewtan, Intex, and trustees. It also supports credit bureau data from Equifax and TransUnion, with mappings between data sources to facilitate customized loss and prepayment models. - Data Analysis: The platform offers multi-dimensional stratification, a high-speed ad-hoc analytical query engine, and a framework for model development and validation. Users can interact through web-based, Excel, and API interfaces, enhancing accessibility and usability. - Software & Data Processing Support: vLens provides specialized technical and migration support, 24/7 operational assistance, and custom software development and integration services to ensure optimal performance and adaptability. - Value-Added Features: The platform includes tailored reporting tools, additional summary tables for expedited reporting, OLAP interfaces for business intelligence development, and a library of custom columns and queries developed by Vichara. Primary Value and User Solutions: vLens addresses the complexities of managing and analyzing large-scale mortgage data by providing a comprehensive, high-performance solution. It enables financial institutions to efficiently process and analyze vast datasets, leading to more informed decision-making and strategic planning. By integrating diverse data sources and offering advanced analytical tools, vLens empowers users to gain deeper insights, enhance risk assessment, and improve overall operational efficiency in the mortgage securities domain.