How to join Redis and H2

Discover how to join Redis with H2 for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate Redis and H2 data into one target storage and analyze it with your BI Tool.
How to join Redis and H2 with Pipes


About Redis

Redis is an open-source software project that implements data structure servers. With optional durability, it is an in-memory data structure store, networked, cache and message broker and used as database. Redis supports data structures such as hashes, strings, sets and lists, sorted sets with range queries, hyperLogs, bitmaps, and geospatial indexes with radius queries.  

About H2

H2 is one of the leading open-source relational database management systems written in Java. It can be embedded in Java applications as well as run in the client-server mode. The main programming APIs of H2 are SQL and JDBC, however the database also supports the usage of the PostgreSQL ODBC driver by acting like a PostgreSQL server. The database engine delivers features like a browser based console application or  a small footprint around 1.5 MB jar file size.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Redis, H2 and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • SQL Modelling Layer
  • Complex Replication Types
  • Advanced Jobs & Schedules
  • Metadata Repositories
  • Custom Extraction Definitions
  • Job Dependencies
  • Multiple Target Storages
  • Data Federation Features
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.