Managing mid-to-large quantities of data is no longer the daily bread of data scientists only. Working with data has become pervasive. But with complex queries and more real-time data, data management is still anything but a straightforward task. Therefore, a powerful and yet elegant tool is the target of many industries. The cloud platform Repods offers exactly this as it combines extensive functionality and a user-friendly interface. Curious to finally identify and assess your KPIs? Can’t figure out the reason why sales in Berlin have dropped in comparison to an exponential growth in Stuttgart? Want to get an overview of all World Cup winners for the past 20 years? Repods can do this, and create a visualization of trends in a detailed model including all relevant factors.
What can you do with the cloud platform Repods?
But what exactly is Repods as a cloud platform? This is an end-to-end cloud data warehousing service combining data analysis, data transformation, and data visualization.
- Import and load data.
- Transform data via data pipes and SQL queries.
- Create data models and set relations between them.
- Analyze, process, and present data by creating reports and workbooks.
- Visualize data with infographics.
- Provide refined aggregated result data via API to applications or BI tools.
What makes the cloud platform Repods better than other tools?
Repods is an independent tool suitable for various types of clients from different industries. Rather than a simple data processing tool applicable only to a narrow range of use cases, Repods allows for high levels of complexity. The elasticity of the tool makes it possible to glean highly specific insights from your data and carry out extremely fine-grained analyses. Close attention to detailed analysis and processing is given at every step of the data journey.
Easy integration into an existing workflow and external usage
Repods is a non-invasive tool. It does not take over all data-related processes. You can pick the features that interest you and use the tool only to a limited extent. Besides, you can work with WEB API — create authentication keys for external tools to access data from reports and workbooks. Another possibility is to use an IoT connector. The process is simple: Establish a connection to an IoT router and create subscriptions on one or more topics to receive related messages. These options allow users to customize user experience to achieve maximum comfort.
Repods is an enabling tool. The platform grows as much as you need it to. Repods can simply be an extra helper in your technology stack. But it can also become an indispensable part of your daily tasks.
Community feeling while respecting your privacy
Repods is more than an isolated technical tool serving data processing needs. The platform is built as a social hub where users exchange ideas, share approaches towards data analysis, and make use of each other’s data. Also, you can follow other users’ data pods, become a collaborator, and contribute not only to the daily tasks of your team but also to impactful projects all around the world.
The pod owner has the option to make the content public, assign a restricted role to a list of users, or keep the data completely private, accessible only via the user account. Sharing pod content makes it possible to work in teams. A locking mechanism guarantees that user modifications will not interfere with one another during modifications of the data flow.
Start for free —upgrade when needed
Repods aims for maximum user comfort. Users can select a product type best suited to their needs and adjust their product plan at any time. With a free product plan, users get unlimited access to all platform features, a bundle of 0.15 CPU cores, 0.2 GB of memory, 0.5 GB storage, and 1 GB/month of network to experience all that the platform offers.
And what is offered is not simply a regular application. Repods comes with all the required private infrastructure for each client. This means no hassle with IT server management and database administration tasks. With a free data pod, users can access other users’ public pods to gather information or just browse for ideas. If users need to create additional data pods, they can select from an array of options. The flat pricing options vary from BASIC to XLARGE. With the usage-based product plan, users can estimate how many hours they will use each data pod with a specific configuration of resources. In sum, the tool offers a variety of ways to customize user experience.
Data import and processing
The platform provides a variety of ways to get user data into the tool: import full datasets from your local storage in one of the supported file types (.csv, .tsv, .txt, .log, .tab, .raw, .data, .db, .dat, .xlsx, .xls, .zip), connect to your Amazon S3 bucket, connect to your FTP server or use an IoT import and stream the data directly from the sensors. The platform supports connection to an IoT (WAMP) Router. Users can create subscriptions to router topics to receive messages on a specific topic. Subscriptions to multiple topics are supported.
Repods allows for an in-depth inspection of user data. Such in-depth analysis facilitates insight generation through the inspection, systematization, and transformation of data on the platform. Users can put data into tables to become part of data models, transform data in data pipes, or visualize data in reports and infographics. Real-time updating allows users instant access to the current status of the machines connected to the sensors publishing data under a certain topic.
Optimized for developers
The cloud platform Repods can be seen as a bridge between highly sophisticated pre-processed datasets and low-level machine outputs attached to various types of sensors. The platform’s clear interface allows users to perform their work with only a few mouse clicks. For more complex results, SQL knowledge becomes essential. Writing SQL queries (mainly SELECT statements) inside data pipes and workbooks allows users to explore the data in more depth, as well as merge and group data within their desired structure. Using workbooks to answer specific questions is a clear improvement on the counting and summing that traditional BI tools provide. In short, boilerplate technical details can be seamlessly implemented via point & click. Once expressivity, custom logic, and creativity are required, the use of code comes into play.
To maximize the possibilities of the platform, some programming knowledge would be an advantage. Repods provides detailed help in each panel. Help sections are customized to guide users through the process and provide a headstart before users jump into the workflow.
Visualization of the results
No matter how rewarding and intricate data processing can get, in the end, it is the results that matter. Repods visualizes data processing outcomes in several ways. First, once the data is imported, users can always view it in a table format. You can open each dataset locally in the platform in an excel-like table view with two clicks only. This option gives you a quick overview of the data.
After transforming the data via data pipes, the result can be placed into a so-called Core Table. Core Tables are enhanced with extra functionalities such as historization and versioning. These Tables are meant for the long-term management of growing data sets. Core Tables can be placed into a relational data model, which allows for the creation of expressive reports combining and aggregating attributes from different tables.
Join the cloud platform Repods
Become part of the platform. You can create an account for free and start using Repods immediately. Once your account is created, click on Login to Repods to jump directly into your personal profile and start creating data warehouses. Customize your experience and start creating data pods. Once you create an account, all user settings can be configured in the user dashboard.
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