Augmented Intelligence Platform

PREDICTABLE PRICING

Always know what you'll pay with monthly caps and flat pricing.
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free backups

Your data is critical. That’s why we ensure it’s backed up automatically every day.  Restore data to any point within the previous seven days.
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End-to-end security

Databases run in your account’s private network, which isolates communication at the account or team level. Requests via the public internet can still reach your database, but only if you whitelist specific inbound sources. Data is also encrypted in transit and at rest.

​​​​FREE

Our Cloud DNS service is free to use for all our customers. Manage any number of domains and records at no charge.

Advanced Features

Take advantage of the special LUA record to configure your DNS entries to respond dynamically based on the location of the client, time or server health.

No coding

Visually manage your DNS records, no coding or advanced knowledge required.

Fast propagation

DNS record changes are propagated immediately accross the Internet to maximize business availability.

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​​​​Rich App catalog

Choose between Wordpress, Magento, Liferay, cPanel, OpenCart and many more to achieve your use-case fast.

Focus on what's important

Leave the infrastructure to us and focus on what's important for your business.

Scale instantly

Don't waste time preparing an expensive infrastructure. Scale your apps up or down with just a few clicks.

Text Analytics API

Discover insights in unstructured text using natural language processing (NLP). No machine learning expertise required.

Identify key phrases and entities such as people, places, and organizations to understand common topics and trends. Classify industry-specific terminology using domain-specific, pretrained models. Gain a deeper understanding of customer opinions with sentiment analysis.

Language Detection

Evaluate text input in a wide range of languages, variants, and dialects using the language detection feature.

Named Entity Recognition

Extract pre-built entities such as people, places, organizations, locations, date/time and numerals in documents using named entity recognition.

Summarization

Quickly identify the main points in textual data. Get a list of relevant phrases that best describe the subject of each document using key phrase extraction.

Sentiment Analysis

Detect positive and negative sentiment in social media, customer reviews, and other sources to get a pulse on your brand.

Similarity

Evaluate if documents have similar content, ignoring syntax and grammar. Group them together to reduce redundant information throughout the organization.

Classification

Categorize documents based on international taxonomies (eg. Political, Economic, Health etc.)

Topic Modeling

Discover common concepts that occur in a collection of documents.

Image Analytics API

Create products that more people can use by embedding artificial vision capabilities in your apps.

Use Image Analytics to label content with objects and concepts, extract text, generate image descriptions, detect faces, personal traits and emotions. No machine learning expertise is required.

Object detection

Detect and classify multiple objects including the location of each object within the image.

Advanced OCR

Extract text from images and documents with mixed languages and writing styles.

Facial Detection & Facial Recognition

Embed facial detection and recognition into your apps for a seamless and highly secured user experience. Additional features include age, gender and emotion detection.

Image Captioning

An AI service that will describe what's inside an image using a single sentence.

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​​​​Presentation

Showcase business performance data in a variety of settings such as investor relation meetings, press releases, exhibitions, and quarterly reports.

Monitoring

Drive business growth with data. Tools such as real-time business and operation data monitoring can offer your business early warnings for a rapid response.

Decision-making

The live presentation of multi-dimensional data will enable you to discover the value of data and not miss any opportunities.

Easy to Use

Create professional visualizations with limited programming skills courtesy of simple visual configuration widgets and interface that you can manage with the click of a mouse.

​​​​Work together

Share notebooks and work with peers in multiple languages (R, Python, SQL and Scala) and libraries of choice.

FAst customizations

Write your own pieces of code to perform specific tasks not yet supported by BigConnect.

Data Science

Exploratory Data Analysis and Data Science using any available library you can think of.

Install your packages

Install your own packages inside the Jupyter Notebook.

Speed

Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics.

Simplicity

Trino is an ANSI SQL compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset and many others.

In-place analysis

You can natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data.

Query federation

Access data from multiple systems within a single query. For example, join historic log data stored in an S3 object storage with customer data stored in a MySQL relational database.

Versatile

Supports diverse use cases: ad-hoc analytics at interactive speeds, massive multi-hour batch queries, and high volume apps that perform sub-second queries.

No-code

Build schema-agnostic streaming data pipelines with pre-built sources and destinations in minutes for streaming, batch, and change data capture (CDC), using a single, visual tool.

Integrate data cost-effectively

Integrate data using a serverless tool with no infrastructure to manage.

Embrace Change with Resiliency

Intent-driven pipelines built for change detect data drift, reducing risk of bad data downstream and outages. When data drift happens, Data Collector pipelines alert you to remediate issues or embrace emergent design.

Operational Machine Learning

Apply Machine Learning models to data as it streams through your system.

Data Enrichment

Derive new information from existing data by applying AI services to data as it moves through the system.

Interactive dashboards

Aggregate content from sources and systems, create personalized views of data, and interact with data in a single, integrated experience.

Metadata Management

Enable easy access to disparate information in a quick, simple way. Create metadata catalogs to standardize data usage and dissemination.

Collaboration

Create workspaces and workbenches for your specific tasks. Invite others to help and see what you have done.

Multiple Data Sources

Load your data from Hive, Kafka, MySQL, Trino, PostgreSQL, local files, or your own custom system. Monitor data transactions, quries and status instantly.

Visual, Simple Data Transformation

Transform raw data to suit your purpose in a way that's easy and fun. Augment, enhance, heal and create rich data sets to improve insights and sharpen your understanding of the world you work in.

QUERY Monitoring

Monitor how the engine responds to your queries, see where the bottlenecks are and tune your work appropriately.

Interactive dashboards

Perform instant aggregations on your data, share your analysis and get an overview of what's happening.

Enterprise Search

Instantly find information using a Google-like search experience enriched with filters, sorting, refinements and spatial queries.

Collaboration

Create workspaces  for your specific tasks. Invite others to help and see what you have done.

Enrichment

Annoate text and images to create new objects related to the one being annotated.

Link Analysis

See how objects are connected or related to each other using  advanced, interactive graph visualizations with support for superb layouts, grouping, timeline and more.

Spatial ANalysis

See how information is laid geographically using configurable WMS/WFS layers, clusters and heatmaps.

Data Views

Support for text, image, video and audio information with integrated players and visualizers that support creating annotations to define new objects.

​​​Operational Data Analytics

Build a “just-in-time” data warehouse that eliminates the need to invest in costly ETL pipelines, revolutionizing the way data teams analyze their data sets.

Ease of use

Spark offers more than 80 high-level operators that make it easy to build parallel apps. You can use it interactively from Scala, Python, R, and SQL shells to write applications quickly.

Generality

Spark powers a stack of libraries, including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application.

​​​Web Asset Delivery

Host and deliver static web or application assets such as images, JavaScript, and CSS. Enable the CDN to speed up your end user experience by up to 70%.

Media hosting

Redundant, scalable, and highly available infrastructure to host video, photo, or audio assets.

Software Delivery

Host images, containers, or software libraries that your customers can download.

Machine Learning Datasets

Store terrabytes of data and use it for model training and evaluation with the native object storage integration in other services.

​​​Leading Algorithms

Algorithms developed from the ground up for distributed computing and for both supervised and unsupervised approaches including Random Forest, GLM, GBM, XGBoost, GLRM, Word2Vec and many more.

Massively scalable

Fast serialization between nodes and clusters to support massive datasets. Distributed processing on big data delivers speeds up to 100x faster with fine-grain parallelism, enabling optimal efficiency without introducing degradation in computational accuracy.

Accesibility

Use the programing language you already know like R, Python and others to build models in H2O, or use H2O Flow, a graphical notebook based interactive user interface that does not require any coding.

​​​​System Decoupling

Kafka works well as a replacement for a more traditional message broker. Service systems are decoupled from each other and communicate through message queues.

Realtime Processing

Many modern systems require data to be processed as soon as it becomes available. Kafka can be useful since it is able to transmit data from producers to data handlers and then to data storages.

IoT

Kafka acts as a messaging tool that gathers massive volumes of data generated from various types of IoT devices. The data is then retrieved from Kafka for analysis and query.

Log Aggregation

Kafka can be used for logging or monitoring. The logs can be stored in a Kafka cluster, they can be aggregated or processed and then saved in a traditional log-storage solution.

​​​High Performance

Using multiple crawling threads and distributed clusters, data can be quickly scraped from thousand of web sites.

Job Scheduling

Schedule crawling jobs to run at a specific moment in the future or at a regular interval to get the latest updates. Don't worry about duplicates, Sponge knows when a web page has been changed.

Taggers, Filters, Splitters

Add additional processing in the scraping workflow to address data cleaning issues, data type conversions, transformations and more.

Monitoring

See what's happening with your scraper, how much data collected and how much work it still needs to do.

Multiple Destinations

Scraped data can be stored in the Object Store or plain XML/ JSON files.

​​​Flexible storage

Choose between RocksDB and Accumulo as backend graph stores, depending on your use-case.

Async Data Processing

Push objects to message queues for additional processing of inserts, updates and deletes. Create data workers for processing queued messages to perform tasks like data enrichment, custom computations, external services etc.

Cypher Language support

Full support for the Cypher language for querying and altering graph data.

Enterprise Search

Index nodes and edges to quickly find them based on their property values. Use Trino for running SQL queries against graph objects.

Open Source

The graph engine is fully open-source and available on Github.