PeerDB

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.

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.

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.

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.

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 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.

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 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.

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.

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.

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 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.

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.

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.

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​.

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.

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 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.

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 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 fully managed service allowing organizations to automate and monitor the transformation of EDI-based business-critical transactions at cloud scale.

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

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 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 a tool for software engineers that build enterprise (B2B) applications. It is embeddable, cloud-based, and built on the Python ecosystem — enabling developers to support more data sources, manage data cleansing & transformation, and offer a self-serve experience to their users.

It is a new compute service to run real-time spatial simulations in the cloud and at scale. With SimSpace Weaver, simulation developers are no longer limited by the compute and memory of their hardware.

It makes it easy for B2B companies to send data to their customers. Specifically, It helps companies sync data directly to their customer's data warehouse, on an ongoing basis. It exposes a RESTful API to configure sources and destinations, initiate data transfers, monitor activity, and more.

Myria is a distributed, shared-nothing Big Data management system and Cloud service from the University of Washington. We derive requirements from real users and complex workflows, especially in science.