Which companies uses HBase?
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Which companies uses HBase?
79 companies reportedly use HBase in their tech stacks, including Pinterest, Hepsiburada, and Hubspot.
- Pinterest.
- Hepsiburada.
- Hubspot.
- doubleSlash.
- SendGrid.
- Vinted.
- JVM Stack.
- Tumblr.
Why would you use HBase?
HBase provides a fault-tolerant way of storing sparse data sets, which are common in many big data use cases. It is well suited for real-time data processing or random read/write access to large volumes of data. A sort order can also be defined for the data. HBase relies on ZooKeeper for high-performance coordination.
In which scenarios is HBase used?
HBase Use Cases HBase is used to store billions of rows of detailed call records. If 20TB of data is added per month to the existing RDBMS database, performance will deteriorate. To handle a large amount of data in this use case, HBase is the best solution. HBase performs fast querying and displays records.
How does HBase help real time analytics?
In a nutshell, HBase can store or process Hadoop data with near real-time read/write needs. This includes both structured and unstructured data, though HBase shines at the latter. HBase is low-latency and accessible via shell commands, Java APIs, Thrift, or REST.
Who developed Hbase?
Apache Software Foundation
Apache HBase
| Original author(s) | Powerset |
|---|---|
| Developer(s) | Apache Software Foundation |
| Initial release | 28 March 2008 |
| Stable release | 2.3.4 / 22 January 2021 |
| Preview release | 2.4.2 / 17 March 2021 |
What are the key components of HBase?
HBase architecture has 3 main components: HMaster, Region Server, Zookeeper.
How does ZooKeeper work in HBase?
ZooKeeper is a high-performance coordination service for distributed applications(like HBase). It exposes common services like naming, configuration management, synchronization, and group services, in a simple interface so you don’t have to write them from scratch.
Does Facebook use HBase?
Facebook chose HBase because they monitored their usage and figured out what the really needed. What they needed was a system that could handle two types of data patterns: A short set of temporal data that tends to be volatile. An ever-growing set of data that rarely gets accessed.