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Learn MorePros of Apache Drill
Pros of PostGIS
Pros of Postico
Pros of Apache Drill
- NoSQL and Hadoop4
- Free3
- Lightning speed and simplicity in face of data jungle3
- Well documented for fast install2
- SQL interface to multiple datasources1
- Nested Data support1
- Read Structured and unstructured data1
- V1.10 released - https://drill.apache.org/1
Pros of PostGIS
- De facto GIS in SQL25
- Good Documentation5
Pros of Postico
- Very clean, respectable interface4
- Really modern client3
- Reliable and easy to use3
- Increases productivity2
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- No public GitHub repository available -
- No public GitHub repository available -
What is 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.
What is PostGIS?
PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
What is Postico?
Postico provides an easy to use interface, making Postgres more accessible for newcomers and specialists alike. Postico will look familiar to anyone who has used a Mac before. Just connect to a database and begin working with tables and views. Start with the basics and learn about advanced features of PostgreSQL as you go along.
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What companies use Apache Drill?
What companies use PostGIS?
What companies use Postico?
What companies use Apache Drill?
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What tools integrate with Apache Drill?
What tools integrate with PostGIS?
What tools integrate with Postico?
What tools integrate with Apache Drill?
What tools integrate with PostGIS?
What tools integrate with Postico?
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What are some alternatives to Apache Drill, PostGIS, and Postico?
Presto
Distributed SQL Query Engine for Big Data
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.
Apache Calcite
It is an open source framework for building databases and data management systems. It includes a SQL parser, an API for building expressions in relational algebra, and a query planning engine
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.
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.