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HBase

321
364
+ 1
14
MapD

7
22
+ 1
4
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HBase vs MapD: What are the differences?

Developers describe HBase as "The Hadoop database, a distributed, scalable, big data store". Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop. On the other hand, MapD is detailed as "Open source GPU-Powered Database". Interactively query and visualize massive datasets with the parallel power of GPUs.

HBase and MapD can be categorized as "Databases" tools.

"Performance" is the top reason why over 7 developers like HBase, while over 2 developers mention "Super fast, and the approach taken" as the leading cause for choosing MapD.

HBase and MapD are both open source tools. HBase with 2.91K GitHub stars and 2.01K forks on GitHub appears to be more popular than MapD with 1.91K GitHub stars and 271 GitHub forks.

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Pros of HBase
Pros of MapD
  • 8
    Performance
  • 5
    OLTP
  • 1
    Fast Point Queries
  • 3
    Super fast, and the approach taken
  • 1
    Hehe

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What is HBase?

Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.

What is MapD?

Interactively query and visualize massive datasets with the parallel power of GPUs.

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What companies use HBase?
What companies use MapD?
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What tools integrate with MapD?

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Blog Posts

Jun 24 2020 at 4:42PM
https://img.stackshare.io/stack/673323/default_9dbdf311e98bc0550cc0b928a4f7144ba95c89fc.png logo

Pinterest

Amazon S3KafkaHBase+4
4
980
MySQLKafkaApache Spark+6
2
1401
What are some alternatives to HBase and MapD?
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Druid
Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
Couchbase
Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
See all alternatives
Interest over time
How developers use HBase and MapD
Avatar of Pinterest
Pinterest uses HBaseHBase

The final output is inserted into HBase to serve the experiment dashboard. We also load the output data to Redshift for ad-hoc analysis. For real-time experiment data processing, we use Storm to tail Kafka and process data in real-time and insert metrics into MySQL, so we could identify group allocation problems and send out real-time alerts and metrics.

Avatar of Axibase
Axibase uses HBaseHBase
  • Raw storage engine
  • Replication
  • Fault-tolerance
Avatar of Mehdi TAZI
Mehdi TAZI uses HBaseHBase

Range scan and HDFS Buffering system

Avatar of anerudhbalaji
anerudhbalaji uses HBaseHBase

Primary datastore