Pachyderm vs TempoDB: What are the differences?
What is Pachyderm? MapReduce without Hadoop. Analyze massive datasets with Docker. Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.
What is TempoDB? Store & analyze time series data from sensors, smart meters, servers & more. TempoDB is the first database service for time series data (ex: measuring thermostat temperatures, network latencies, heart rates). Time series is a unique Big Data problem that breaks traditional databases (MySQL, MongoDB, etc). Today, businesses spend months and millions attempting to build solutions to manage all this data and yet still fail to store as much as they need or analyze it effectively. TempoDB is a purpose-built database service that enables businesses to store and analyze massive streams of time series data, so they can learn from the past, understand the present, and predict the future.
Pachyderm and TempoDB are primarily classified as "Big Data" and "SQL Database as a Service" tools respectively.
Some of the features offered by Pachyderm are:
- Git-like File System
- Dockerized MapReduce
- Microservice Architecture
On the other hand, TempoDB provides the following key features:
- Flexible, powerful API
- Store as much high resolution (1 ms max) time series data as you need for long range historical analysis
- We guarantee data availability and protect against loss by replicating each live datapoint 3x and using geographically distributed backup environments
Pachyderm is an open source tool with 3.78K GitHub stars and 364 GitHub forks. Here's a link to Pachyderm's open source repository on GitHub.