AWS B2B Data Interchange

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

It is an elegant and simple HTTP library for Python, built for human beings. It allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data.

Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.

Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.

Dremio—the data lake engine, operationalizes your data lake storage and speeds your analytics processes with a high-performance and high-efficiency query engine while also democratizing data access for data scientists and analysts.

It helps you centralize data from disparate sources which you can manage directly from your browser. We extract your data and load it into your data destination.

It is an open-source data integration platform that syncs data from applications, APIs & databases to data warehouses lakes & DBs.

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.

It is a modern, browser-based UI, with powerful, push-down ETL/ELT functionality. With a fast setup, you are up and running in minutes.

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.

It's focus is on performance; specifically, end-user perceived latency, network and server resource usage.

Treasure Data's Big Data as-a-Service cloud platform enables data-driven businesses to focus their precious development resources on their applications, not on mundane, time-consuming integration and operational tasks. The Treasure Data Cloud Data Warehouse service offers an affordable, quick-to-implement and easy-to-use big data option that does not require specialized IT resources, making big data analytics available to the mass market.

It is an open-source bulk data loader that helps data transfer between various databases, storages, file formats, and cloud services.

Get the power of big data in minutes with Alooma and Amazon Redshift. Simply build your pipelines and map your events using Alooma’s friendly mapping interface. Query, analyze, visualize, and predict now.

It is a no-code data pipeline as a service. Start moving data from any source to your data warehouses such as Redshift, BigQuery, and Snowflake in real-time.

It syncs your data warehouse with CRM & go-to-market tools. Get your customer success, sales & marketing teams on the same page by sharing the same customer data.

BigQuery Data Transfer Service lets you focus your efforts on analyzing your data. You can setup a data transfer with a few clicks. Your analytics team can lay the foundation for a data warehouse without writing a single line of code.

Read and process data from cloud storage sources such as Amazon S3, Rackspace Cloud Files and IBM SoftLayer Object Storage. Once done processing, Xplenty allows you to connect with Amazon Redshift, SAP HANA and Google BigQuery. You can also store processed data back in your favorite relational database, cloud storage or key-value store.

Datos is a global clickstream data provider focused on licensing anonymized, at scale, privacy-secured datasets to ensure its clients and partners are safe in an otherwise perilous marketplace.

A cloud-based solution engineered to fill the gaps between cloud applications. The software utilizes Intelligent 2-way Contact Sync technology to sync contacts in real-time between your favorite CRM and marketing apps.

It offers the industry leading data synchronization tool. Trusted by millions of users and thousands of companies across the globe. Resilient, fast and scalable p2p file sync software for enterprises and individuals.

It is the data warehouse built for analysts. Our data management platform automates all three key aspects of the data stack: data collection, management, and query optimization.

It helps you process data at large scale. No coding required, you may integrate different databases in one place, build complex data pipelines and publish data to wherever you want.

Etleap simplifies and automates ETL on AWS. Etleap's data wrangler and modeling tools let users control how data is transformed for analysis, without writing any code, and monitors pipelines to ensure availability and completeness of data.

we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

The drop-in data importer that implements in hours, not weeks. Give your users the import experience you always dreamed of, but never had time to build.

It is a fully managed service that makes it easier for you to build, secure, and manage data lakes. It simplifies and automates many of the complex manual steps that are usually required to create data lakes. These steps include collecting, cleansing, moving, and cataloging data, and securely making that data available for analytics and machine learning.

AWS Snowball Edge is a 100TB data transfer device with on-board storage and compute capabilities. You can use Snowball Edge to move large amounts of data into and out of AWS, as a temporary storage tier for large local datasets, or to support local workloads in remote or offline locations.

It is a .NET library that can read/write Office formats without Microsoft Office installed. No COM+, no interop.

It is the quickest way to create accurate synthetic clones of your entire data infrastructure. It creates end-to-end synthetic data environments that look and behave exactly like your production data. Down to your data's content and database version.

Import/Export supports importing and exporting data into and out of Amazon S3 buckets. For significant data sets, AWS Import/Export is often faster than Internet transfer and more cost effective than upgrading your connectivity.

ClickHouse is now offered as a secure and scalable serverless offering in the cloud, ClickHouse Cloud allows anyone to effortlessly take advantage of efficient real time analytical processing​.

It collects all your data in one secure place and makes it analysis-ready for all your reporting needs. Send your marketing data to a dashboard (Data Studio), spreadsheet (Sheets, Excel), or data warehouse (Google, Microsoft, Amazon, Snowflake, etc.)

It gives you the first and only APIs to enable you to balance, anonymize, and share your data. With privacy guarantees.

FlyData for Amazon Redshift allows you to transfer your data easily and securely to Amazon Redshift. Getting your data onto Amazon Redshift and keeping it up-to-date can be a real hassle. With FlyData for Amazon Redshift, you can automatically upload and migrate your data to Amazon Redshift, after only a few simple steps.

Capture data from your web apps, mobile apps, physical devices, and SaaS platforms at scale using Jitsu. We’re open source so you’re never locked in and can run locally so your data never leaves your environment. No need to build your own collectors, pipelines and data lakes.

Coupler.io is an iPaaS to set up an automatic data export from HubSpot, Shopify, Salesforce, and 15 more platforms, to import data to services, to back up important records, and more. No coding skills are required to use Coupler.io.

Customer data in any warehouse. In one click. No more ETL. Connect your customer data to any leading data warehouse solution within minutes. Consistent schema out-of-the-box for easy analysis.

It automates most of the work data engineers and analysts traditionally do to spin up and run a modern data stack. It manages your data warehouse, build and maintain your ETL pipelines, and build scheduled transforms to fit your needs.

It is an open source elastic and reliable serverless data warehouse, it offers blazing fast query and combines elasticity, simplicity, low cost of the cloud, built to make the Data Cloud easy.

It is a universal SaaS data platform for a quick and easy solution to a wide set of data-related tasks with no coding: data integration, cloud data backup, data management with SQL, CSV import/export, creating OData services, etc.

It delivers a next-generation, unified platform for automated data quality, MDM, and data governance. It provides complex enterprise data management solutions that offer sustainable, long-term value.

It is a low-code External Data Platform that helps companies scale their data ingestion while reducing costs and errors. Bring in fresher, cleaner customer and partner data with self-serve data uploaders and no-code ETL data pipelines.

It is the data automation platform - get your marketing data into Google Sheets, Looker Studio, or a Data Warehouse now.

It is a Postgres-first data-movement platform that makes moving data in and out of Postgres fast and simple. PeerDB is free and open-source.