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Apache Impala

146
301
+ 1
18
TiDB

75
175
+ 1
28
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Apache Impala vs TiDB: What are the differences?

What is Apache Impala? Real-time Query for Hadoop. Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.

What is TiDB? A distributed NewSQL database compatible with MySQL protocol. Inspired by the design of Google F1, TiDB supports the best features of both traditional RDBMS and NoSQL.

Apache Impala and TiDB are primarily classified as "Big Data" and "Databases" tools respectively.

Some of the features offered by Apache Impala are:

  • Do BI-style Queries on Hadoop
  • Unify Your Infrastructure
  • Implement Quickly

On the other hand, TiDB provides the following key features:

  • Horizontal scalability
  • Asynchronous schema changes
  • Consistent distributed transactions

"Super fast" is the top reason why over 9 developers like Apache Impala, while over 4 developers mention "Open source" as the leading cause for choosing TiDB.

Apache Impala and TiDB are both open source tools. TiDB with 27.5K GitHub stars and 4.32K forks on GitHub appears to be more popular than Apache Impala with 3 GitHub stars and 4 GitHub forks.

According to the StackShare community, Apache Impala has a broader approval, being mentioned in 18 company stacks & 87 developers stacks; compared to TiDB, which is listed in 3 company stacks and 39 developer stacks.

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Pros of Apache Impala
Pros of TiDB
  • 11
    Super fast
  • 1
    Massively Parallel Processing
  • 1
    Load Balancing
  • 1
    Replication
  • 1
    Scalability
  • 1
    Distributed
  • 1
    High Performance
  • 1
    Open Sourse
  • 9
    Open source
  • 7
    Horizontal scalability
  • 5
    Strong ACID
  • 3
    HTAP
  • 2
    Mysql Compatibility
  • 2
    Enterprise Support

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What is Apache Impala?

Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.

What is TiDB?

Inspired by the design of Google F1, TiDB supports the best features of both traditional RDBMS and NoSQL.

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What companies use Apache Impala?
What companies use TiDB?
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What tools integrate with Apache Impala?
What tools integrate with TiDB?

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What are some alternatives to Apache Impala and TiDB?
Presto
Distributed SQL Query Engine for Big Data
Apache Drill
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.
Apache Hive
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
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.
See all alternatives