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Learn MorePros of Apache Drill
Pros of Flyway
Pros of Liquibase
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 Flyway
- Superb tool, easy to configure and use13
- Very easy to config, great support on plain sql scripts9
- Is fantastic and easy to install even with complex DB6
- Simple and intuitive4
- Easy tool to implement incremental migration1
Pros of Liquibase
- Many DBs supported18
- Great database tool18
- Easy setup12
- Database independent migration scripts8
- Database version controller5
- Unique open source tool5
- Precondition checking2
- Supports NoSQL and Graph DBs1
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Cons of Apache Drill
Cons of Flyway
Cons of Liquibase
Cons of Apache Drill
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Cons of Flyway
- "Undo Migrations" requires pro version, very expensive3
Cons of Liquibase
- Documentation is disorganized5
- No vendor specifics in XML format - needs workarounds5
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- 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 Flyway?
It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.
What is Liquibase?
Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.
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What tools integrate with Apache Drill?
What tools integrate with Flyway?
What tools integrate with Liquibase?
What tools integrate with Apache Drill?
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What are some alternatives to Apache Drill, Flyway, and Liquibase?
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.