Dynobase.dev
IntelliJ DynamoDB
Firefoo
Amazon DynamoDB
BeatApp
DBeaver
DataGrip
Apache Cassandra
Qrvey
DevicePilot
AnswerRocket
Syndigo
Amdocs CES
Yellowfin
Toucan Toco
Omniscope
Modern DynamoDB IDE Client. Accelerate DynamoDB workflow with sleek Admin UI, visual query builder, codegen and more! Available for Mac, Windows & Linux.
Designed for external use cases where SaaS companies need to provide their customers with powerful and customizable analytics capabilities.
Qrvey is the only full stack solution that offers all the embedded visualization and self-service analytics tools along with a unified data pipeline that offers a data lake optimized for multi-tenant analytics.
Qrvey's embedded visualizations empower engineering teams to build custom experiences, along with full white labeling and CSS customization options to make Qrvey’s javascript widgets blend seamlessly into a SaaS application. ⋅⋅* Qrvey’s data-driven automation workflows enable the creation of complex workflows based on data triggers, such as conditional logic, nested functions, data write-backs with notification integrations to third party systems such as Slack. ⋅⋅* Qrvey supports natural language querying of data using generative AI to easily spot trends and outliers, augmented analysis capabilities. ⋅⋅* Qrvey also supports pixel perfect reporting to generate printable reports from the same analytics data.
Qrvey simplifies data management by providing a single data pipeline solution featuring a data lake solution that is optimized for multi-tenant analytics. This contains native data connectors and APIs to ingest data in any type from any source, including real-time data with live connections. ⋅⋅* Qrvey’s semantic layer can inherit and map security models from your multi-tenant SaaS application, saving software development teams the hassle of duplicating users and roles. ⋅⋅* Qrvey’s robust API allows you to create data delivery services and managed download functions that go beyond basic exporting.
Dynobase.dev QrveyQrvey's answer:
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Qrvey's answer:
Customers choose Qrvey for the following reasons:
Qrvey's answer:
Qrvey's approach to embedded analytics is different. Qrvey combines the best of BI, data warehousing, and data visualization into a single solution built exclusively for SaaS applications.
Qrvey's key features include:
100% Embeddability - Everything is embeddable with JS based components that supports full white labeling so you can create unique analytics experiences within your SaaS application.
Data Warehouse included - Visualizations are useless without a scalable data layer built specifically for analytics use cases. Qrvey includes native multi-tenant support so your data is ready for your multi-tenant SaaS application. This includes data syncing and API support that allows for any type of data to be ingested into the Qrvey data layer.
Self-Hosted - Deployed to Your AWS Environment. Customers get ultimate control as Qrvey is deployed to their AWS environment inheriting and respecting their security policies. Your data never leaves, but it's ready for analytics now.
Based on our record, Dynobase.dev should be more popular than Qrvey. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I use recommend taking a look at Dynobase, written by an AWS Dynamodb team affiliate and also https://retool.com/integrations/aws-dynamodb. Source: over 1 year ago
Have you seen Dynobase? https://dynobase.dev. - Source: Hacker News / over 2 years ago
There are reasonably better alternatives: - DynamoDB Workbench (free, AWS official): https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/workbench.html - Dynobase (paid, third-party): https://dynobase.dev/. - Source: Hacker News / over 2 years ago
Moreover, the ecosystem of DynamoDB is constantly growing. There are more and more tools providing useful abstractions like DynamoDB Toolbox by Jeremy Daly for working with single-table design, Dynamoose for ORM-like experience, AWS Amplify which hides the DynamoDB layer from the programmer completely, or Dynobase which helps you in navigating between profiles, regions, tables and exploring datasets. - Source: dev.to / almost 3 years ago
Making DynamoDB more accessible with Rafal Wilinski (Real World Serverless Podcast)— DynamoDB continues to grow in popularity, with how well it fits with serverless architectures, more and more companies are choosing to go with managed, highly-integrated, NoSQL database options like DynamoDB. In this podcast episode, Rafal talks through lots of things DynamoDB in his journey creating Dynobase, which is a DynamoDB... - Source: dev.to / almost 3 years ago
Since you're on AWS already, check out https://qrvey.com. Source: 5 months ago
IntelliJ DynamoDB - IntelliJ DynamoDB is a Professional DynamoDB GUI client for Windows, Mac, and Linux delivered as a plugin for JetBrains IDEs.
DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.
Firefoo - Gain power over your Cloud Firestore data with a smart GUI
AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.
Amazon DynamoDB - Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.
Syndigo - Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.
