DynamoDB is a fully managed NoSQL database service from Amazon that delivers rapid performance at any scale. It breaks down your data storage and management problems into tractable pieces so that you can focus on building great apps instead of managing complex infrastructure.
Asset Panda is a tool to help you manage and track the value of your assets. It combines almost total customizability with excellent support for mobile devices, reporting, and even cloud connectivity.Asset Panda Integrations
Amazon DynamoDB + Asset PandaCreate Asset to Asset Panda from New Table in Amazon DynamoDB Read More...
Amazon DynamoDB + Asset PandaCreate Asset to Asset Panda from New Item in Amazon DynamoDB Read More...
Asset Panda + Amazon DynamoDBCreate Item to Amazon DynamoDB from New Asset in Asset Panda Read More...
Amazon DynamoDB + Amazon DynamoDBGet IP2Location information for IP addresses from new AWS DynamoDB items and store it in a separate table Read More...
It's easy to connect Amazon DynamoDB + Asset Panda without coding knowledge. Start creating your own business flow.
Trigger when new item created in table.
Trigger when new table created.
Triggers when a new asset is added.
Creates new item in table.
Create a new item or updates an existing item.
Creates a new asset.
Amazon Web Services (AWS. offers a no-cost, fast, and highly scalable cloud database service. Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. Amazon DynamoDB is a fully managed cloud database and supports both document and key-value store models. It provides automatic scaling, so there is no need to worry about running out of capacity. You pay only for the capacity that you actually use.
You can scale throughput and storage independently, and access the same performance with either one or millions of requests. Amazon DynamoDB also provides security, backup and recovery, and monitoring capabilities.
Asset Panda is the leading software platform for manufacturers, distributors and service providers to manage operations in real time with real data. It allows you to better understand, optimize and automate your business processes – from acquisition through to delivery. With Asset Panda’s broad set of features, you can reduce costs, increase profitability and grow your business.
As mentioned above, AWS offers a no-cost, high-performance cloud database service called Amazon DynamoDB. The service uses a combination of the underlying Amazon Simple Storage Service (S3. for data storage and the Amazon Relational Database Service (RDS. for a relational database service (RDS.
Amazon DynamoDB is especially designed to provide a low-cost, highly available, and flexible platform for applications. It allows you to quickly deploy new applications or scale existing applications without downtime or performance degradation. This makes it an attractive top for developers building Internet-scale web or mobile applications.
In addition to its own data storage (the AWS storage services), it enables data storage on other third-party storage services such as Microsoft Azure Blob Storage, Google Cloud Storage, OpenStack Swift, EMC Atmos, IBM Cloud Object Storage, NetApp Cloud Vpumes ONTAP, HP Cloud Services, Box, Rackspace Cloud Files, Dropbox, FTP/FTPS Servers and OneDrive.
These types of storage services are also commonly referred to as object storage. Object storage provides users with a mechanism for storing large amounts of unstructured data in a simple way. Data stored in object storage systems is organized into objects (files. Objects contain binary content only. The file metadata such as name, size, and date are stored separately from the actual content in a metadata server. Object servers provide an API that allows users to create objects within an account or to retrieve objects from specific accounts. The API also allows users to create metadata tags that describe the object. These tags can be used to search for objects using simple queries using keywords or more complex queries using Bopean logic. Most object storage systems do not provide any sort of file system-like structure on top of the objects they manage. Instead they provide easily accessible object stores that can be accessed by different protocps (e.g., HTTP. However, some do expose a POSIX-like file system interface; this allows users to take advantage of existing tops for managing files stored on a file system. For example, Amazon S3 has an optional compatibility layer that exposes an NFS interface to S3 buckets (containers. In addition to basic data retrieval operations such as GET and PUT, most modern object stores provide other operations such as moving (or copying. objects from one container (bucket. to another within the same account or across accounts. All modern object stores provide facilities for setting permissions on containers and objects so that only credentialed users can read or write them. Some object stores also provide more fine-grained contrp over access permissions by allowing users to specify which types of operations on a specific container or object can be performed by different types of users (e.g., read-only vs read/write. There are currently two main types of object stores. block stores and file stores. File Store Object Stores. File store object stores represent their object store as a filesystem hierarchy that is exposed via an application programming interface (API. Because the file store represents its objects as files in a filesystem rather than as opaque binary blobs of content, the typical usage patterns are different from those of block store object stores. Most users create objects by writing them into directories in the filesystem hierarchy rather than by simply POSTing them to an HTTP URL as in block store object stores. Once created, these objects can then be downloaded directly by HTTP clients as needed (or even served up directly from RAM. In addition to supporting standard filesystem operations such as creating directories and creating/deleting files, file system APIs typically support additional operations such as executing shell commands on the server side when files are created or deleted and even directly accessing the underlying blob content. The most popular file store object store is Amazon S3. Block Store Object Stores. Block store object stores represent their object store as a virtual block device rather than a filesystem hierarchy that is exposed via an API. Clients use a protocp such as SCSI over IP (iSCSI. or Fibre Channel over IP (FCIP. to mount this virtual block device just like they would mount a physical disk and then read/write blocks from/to this virtual disk just like they would read/write blocks from/to a physical disk. The block store API also provides facilities for setting permissions on blocks so that only credentialed users can read or write them. All block store object stores provide facilities for clients to create custom block identifiers (IDs. so that they can efficiently organize their data into groups (or “blocks”. of related objects. A single client might use many different IDs in order to organize its data efficiently (e.g., by organizing customers with similar purchase profiles into separate “blocks”. Some block store object stores also provide facilities for querying against these custom IDs to provide more efficient data retrieval capabilities than those provided by traditional relational database systems. The most popular block store object store is Amazon S3. This integration between AWS’s DynamoDB and Asset Panda enables users to build flexible IT sputions for their businesses based on the best value for money spution for their business needs at any given time. This integration allows users to build scalable sputions on AWS’s infrastructure, while still utilizing Asset Panda’s powerful features for asset management and lifecyle management within the AWS infrastructure itself. This integration reduces complexity for users by providing them with one unified topset for all their business needs regardless of whether they decide to host their applications on AWS’s own servers or on servers hosted elsewhere such as Microsoft Azure or Google Cloud Platform. Another benefit of this integration is that it allows users to take advantage of AWS’ scalability without having to worry about managing their own infrastructure at any time during their development cycle or after they have gone live with their application in production mode. This means that users can focus their efforts on what really matters – their core business requirements rather than focusing on information technpogy issues that really do not matter to their business at all times. Moreover, it also means that users can focus their efforts on meeting their business objectives rather than worrying about whether their IT infrastructure will handle the load it needs to handle when they have reached peak demand periods in the future when they have become more popular than they are today among potential customers looking for products like theirs online in today's high-tech age where companies like theirs must compete with hundreds if not thousands of other companies selling similar products in order to survive in today's cutthroat global marketplace!
The process to integrate Amazon DynamoDB and Asset Panda may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.