Best Big Data Platforms in Asia - Page 3

At the intersection of data governance, privacy, and security, Privacera’s unified data access governance platform maximizes the value of data by providing secure data access control and governance across hybrid- and multi-cloud environments. The hybrid platform centralizes access and natively enforces policies across multiple cloud services—AWS, Azure, Google Cloud, Databricks, Snowflake, Starburst and more—to democratize trusted data enterprise-wide without compromising compliance with regulations such as GDPR, CCPA, LGPD, or HIPAA. Trusted by Fortune 500 customers across finance, insurance, retail, healthcare, media, public and the federal sector, Privacera is the industry’s leading data access governance platform that delivers unmatched scalability, elasticity, and performance. Headquartered in Fremont, California, Privacera was founded in 2016 to manage cloud data privacy and security by the creators of Apache Ranger™ and Apache Atlas™.

Apache Storm is a free and open source distributed realtime computation system. Apache Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Apache Storm is simple, can be used with any programming language, and is a lot of fun to use! Apache Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Apache Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Apache Storm integrates with the queueing and database technologies you already use. An Apache Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. Read more in the tutorial.

bi(OS)® delivers unparalleled speed to insight for data app builders in a unified manner. With bi(OS)®, the complete life-cycle of building data apps takes hours to days. This includes adding varied data sources, deriving real-time insights, and deploying to production. Join enterprise data teams across industries and become the data superhero your business deserves. The trifecta of Open Source, Cloud, and SaaS has failed to deliver the promised data-driven impact. All of the enterprises' investments have been in data movement and integration, which isn't sustainable. There is a dire need for a new approach to data, built with enterprise empathy in mind. bi(OS)® is built by reimagining first principles in enterprise data management, from ingest to insight. It serves API, AI, and BI builders in a unified manner, to achieve data-driven impact in days. Engineers build enduring moat as a symphony emerges between IT teams, tools, and processes.

Varada’s dynamic and adaptive big data indexing solution enables to balance performance and cost with zero data-ops. Varada’s unique big data indexing technology serves as a smart acceleration layer on your data lake, which remains the single source of truth, and runs in the customer cloud environment (VPC). Varada enables data teams to democratize data by operationalizing the entire data lake while ensuring interactive performance, without the need to move data, model or manually optimize. Our secret sauce is our ability to automatically and dynamically index relevant data, at the structure and granularity of the source. Varada enables any query to meet continuously evolving performance and concurrency requirements for users and analytics API calls, while keeping costs predictable and under control. The platform seamlessly chooses which queries to accelerate and which data to index. Varada elastically adjusts the cluster to meet demand and optimize cost and performance.

Harness your whole system’s data with ease, with our SHREWD Platform tools and open APIs. SHREWD Platform provides the integration and data collection tools the SHREWD modules operate from. The tools aggregate data, storing it in our secure, UK-based data lake. This data is then accessed by the SHREWD modules or an API, to transform the data into meaningful information with targeted functions. Data can be ingested by SHREWD Platform in almost any format, from analog in spreadsheets, to digital systems via APIs. The system’s open API can also allow third-party connections to use the information held in the data lake, if required. SHREWD Platform provides an operational data layer that is a single source of the truth in real-time, allowing the SHREWD modules to provide intelligent insights, and managers and key decision-makers to take the right action at the right time.

IBM® Sterling Transformation Extender enables your organization to integrate industry-based customer, supplier and business partner transactions across the enterprise. It helps automate complex transformation and validation of data between a range of different formats and standards. Data can be transformed either on-premises or in the cloud. Additional available advanced transformation support provides metadata for mapping, compliance checking and related processing functions for specific industries, including finance, healthcare, and supply chain. Industry standards, structured or unstructured data and custom formats. On-premises and hybrid, private or public cloud. With a robust user experience and RESTful APIs. Automates complex transformation and validation of data between various formats and standards. Any-to-any data transformation. Containerized for cloud deployments. Modern user experience. ITX industry-specific packs.

As physical customer interactions shift into digital, we can no longer rely on real-life conversations. Customers express their intents, share their needs through data. Understanding customers and testing our assumptions about them also happens through data. And privacy regulations such as GDPR and CCPA make a deep understanding even harder. The MOSTLY AI synthetic data platform bridges this ever-growing gap in customer understanding. A reliable, high-quality synthetic data generator can serve businesses in various use cases. Providing privacy-safe data alternatives is just the beginning of the story. In terms of versatility, MOSTLY AI's synthetic data platform goes further than any other synthetic data generator. MOSTLY AI's versatility and use case flexibility make it a must-have AI tool and a game-changing solution for software development and testing. From AI training to explainability, bias mitigation and governance to realistic test data with subsetting, referential integrity.

At Vaex.io we aim to democratize big data and make it available to anyone, on any machine, at any scale. Cut development time by 80%, your prototype is your solution. Create automatic pipelines for any model. Empower your data scientists. Turn any laptop into a big data powerhouse, no clusters, no engineers. We provide reliable and fast data driven solutions. With our state-of-the-art technology we build and deploy machine learning models faster than anyone on the market. Turn your data scientist into big data engineers. We provide comprehensive training of your employees, enabling you to take full advantage of our technology. Combines memory mapping, a sophisticated expression system, and fast out-of-core algorithms. Efficiently visualize and explore big datasets, and build machine learning models on a single machine.

Knowing of data wrangling habits, Polars exposes a complete Python API, including the full set of features to manipulate DataFrames using an expression language that will empower you to create readable and performant code. Polars is written in Rust, uncompromising in its choices to provide a feature-complete DataFrame API to the Rust ecosystem. Use it as a DataFrame library or as a query engine backend for your data models.

You can perform on-demand deployment and automatic scaling of the cluster, and focus on the big data processing, analysis, and reporting only. Thanks to many years’ of massively distributed computing technology accumulation, Our operations team can undertake the cluster operations. It automatically scales up clusters to improve the computing ability in peak periods and scales down clusters to reduce the cost in the valley period. It provides the management console to facilitate cluster management, template customization, task submission, and alarm monitoring. By deploying together with the BCC, it focuses on its own business in a busy time and helps the BMR to compute the big data in free time, reducing the overall IT expenditure.

At the heart of our innovation is in-data computing, a technology designed to process large amounts of data efficiently. Our flagship product, BigObject, embodies this core technology; it’s a time series database developed with the goal of high-speed storage and handling of massive data. With our core technology of in-data computing, we launched BigObject, which can quickly and continuously handle non-stop and all aspects of data streams. BigObject is a time series database developed with the goal of high-speed storage and analysis of massive data. It boasts excellent performance and powerful complex query capabilities. Extending the relational data structure to a time-series model structure, it utilizes in-data computing to optimize the database’s performance. Our core technology is an abstract model in which all data is kept in an infinite and persistent memory space for both storage and computing.

Google Cloud's Analytics Hub is a data exchange platform that enables organizations to efficiently and securely share data assets across organizational boundaries, addressing challenges related to data reliability and cost. Built on the scalability and flexibility of BigQuery, it allows users to curate a library of internal and external assets, including unique datasets like Google Trends. Analytics Hub facilitates the publication, discovery, and subscription to data exchanges without the need to move data, streamlining the accessibility of data and analytics assets. It also provides privacy-safe, secure data sharing with governance, incorporating in-depth governance, encryption, and security features from BigQuery, Cloud IAM, and VPC Security Controls. By leveraging Analytics Hub, organizations can increase the return on investment of data initiatives by exchanging data. Analytics Hub is based on the scalability and flexibility of BigQuery.

Mindtree Decision Moments is the first data analytics platform to apply continuous learning algorithms to large data pools. Using this innovative sense-and-respond system, companies can uncover compelling insights that improve over time and create more value from their digital transformation. Decision Moments is an agile and customizable data intelligence platform that simplifies technological complexity by easily adapting to fit the requirements of your organization’s existing data analytics investment. And it’s also flexible enough to modify in response to changes in the market, technologies or business needs. To gain the full value and cost savings of a data analytics platform, Decision Moments is powered by Microsoft Azure services, including the Cortana Intelligence Suite, in a cloud-native solution. Mindtree’s Decision Moments provides your key decision makers with the platform they need to make sense of large amounts of data from multiple sources.

Tidewater leverages machine learning to find similar businesses to your customers based on 200+ signals for your direct mail campaigns. You can also create a custom audience or use your own lists. Track conversions from your direct mail campaign right in the Tidewater interface just like you would with a digital campaign. With the Enhancement API you can gather company data from our 35 million business location universe based on simple input parameters. For example, you can get a company’s full address by inputting a company name and zip code. You can also get over 50 enhanced signals on a company's website, industry, marketing, financial information by inputting their url or their company name and address. Get your developer app_id and token by signing up for an account with Tidewater. Once you are approved you can find your API credentials by navigating to your Settings menu.

Extract insights from a universe of human-created data. With data from social networks, blogs, news, and more. Integrate social, blog and news data in a single place. Real-time and historic data from billions of data points. Normalized and enriched data in real-time for accurate analysis. With DataSift, you can deliver Human Data into business intelligence (BI) tools and business processes in real-time. You can also innovate with our powerful API to build your own apps. Human Data is the fastest growing type of data that covers the entire spectrum of human-generated information regardless of format or channel through which it is delivered. It includes text, image, audio or video shared with other people on social networks, blogs, news content and inside the business. The DataSift Human Data platform unifies all the data - real-time and historical - in one place, unlocks its meaning and delivers it for use anywhere in the business.

NFVgrid provides automated provisioning, analytics, monitoring, and life-cycle management for Virtual Network Function appliances managed through a single system. The NFVgrid web portal delivers a smooth user experience. The dashboard neatly presents all of the virtual appliances and services that a customer can roll-out or terminate. NFVgrid automatically deploys virtual appliances with pre-provisioned settings and connects them to networks of choice. For advanced settings, virtual network appliances can be accessed later by web portal or CLI. No system in today’s network can perform in isolation, so we built NFVgrid with a rich set of RESTful APIs for easy integration with OSS and BSS systems, including billing. NFVgrid provides performance monitoring functions as well as a meaningful representation of the different kinds of analytical data for the traffic passing through the network or a particular VM.

WhereScape helps IT organizations of all sizes leverage automation to design, develop, deploy, and operate data infrastructure faster. More than 700 customers worldwide rely on WhereScape automation to eliminate hand-coding and other repetitive, time-intensive aspects of data infrastructure projects to deliver data warehouses, vaults, lakes and marts in days or weeks rather than in months or years. From data warehouses and vaults to data lakes and marts, deliver data infrastructure and big data integration fast. Quickly and easily plan, model and design all types of data infrastructure projects. Use sophisticated data discovery and profiling capabilities to bulletproof design and rapid prototyping to collaborate earlier with business users. Fast-track the development, deployment and operation of your data infrastructure projects. Dramatically reduce the delivery time, effort, cost and risk of new projects, and better position projects for future business change.

BIRD Analytics is a blazingly fast high performance, full-stack data management, and analytics platform to generate insights using agile BI and AI/ ML models. It covers all the aspects - starting from data ingestion, transformation, wrangling, modeling, storing, analyze data in real-time, that too on petabyte-scale data. BIRD provides self-service capabilities with Google-type search and powerful ChatBot integration. We’ve compiled our resources to provide the answers you seek. From industry uses cases to blog articles, learn more about how BIRD addresses Big Data pain points. Now that you’ve discovered the value of BIRD, schedule a demo to see the platform in action and uncover how it can transform your distinct data. Utilize AI/ML technologies for greater agility & responsiveness in decision-making, cost reduction, and improving customer experiences.

Being a leading data science company, we help our clients extract valuable business insights from their data to better understand their audience, forecast demand, reduce risks, prevent cost overruns, and much more. If you are looking for a data science consultancy or a reliable technology partner to create innovative, market-leading solutions, we are here to help! We use machine learning (ML) tools and algorithms to help companies develop AI-driven products and solutions. Our team has profound knowledge and experience in designing, implementing, and integrating artificial intelligence solutions into the customer’s business environment. We use machine learning (ML) tools and algorithms to help companies develop AI-driven products and solutions. Our team has profound knowledge and experience in designing, implementing, and integrating artificial intelligence solutions into the customer’s business environment.

Find out why the heavy hitters are using the Crux external data automation platform to scale external data integration, transformation, and observability without increasing headcount. Our cloud-native data integration technology accelerates the ingestion, preparation, observability and ongoing delivery of any external dataset. The result is that we can ensure you get quality data in the right place, in the right format when you need it. Leverage automatic schema detection, delivery schedule inference, and lifecycle management to build pipelines from any external data source quickly. Enhance discoverability throughout your organization through a private catalog of linked and matched data products. Enrich, validate, and transform any dataset to quickly combine it with other data sources and accelerate analytics.

Master Data Management And Data Governance. Plug and play adapters for oracle hyperion, onestream, anaplan, and more. The Leader in Performance Management Master Data On-Premise or Cloud Designed to include the Business User in MDM and Data Governance With built-in application intelligence, managing hierarchies and data governance in EPMware becomes a seamless process, creating dimensional consistency across all subscribing applications. With our one-click integration process, hierarchies are visualized and modeled in a request with real time data governance for error proof and audited metadata updates. Using EPMware’s workflow capabilities, metadata can be reviewed, approved and deployed to on-premise and cloud applications. No files to extract or load, no manual intervention, just a seamless and audited metadata integration, out of the box. Integration and Validation Focus EPMware includes native and pre-built integration support for the most widely used EPM and CPM technologies