What is Hevo Data?
It is a no-code data pipeline as a service. Start moving data from any source to your data warehouses such as Redshift, BigQuery, and Snowflake in real-time.
Hevo Data is a tool in the Big Data as a Service category of a tech stack.
Who uses Hevo Data?
Companies
10 companies reportedly use Hevo Data in their tech stacks, including Vydia, numa, and Zippi.
Developers
12 developers on StackShare have stated that they use Hevo Data.
Hevo Data Integrations
JavaScript, Python, MySQL, PostgreSQL, and MongoDB are some of the popular tools that integrate with Hevo Data. Here's a list of all 24 tools that integrate with Hevo Data.
Hevo Data's Features
- Pre-built integrations to 100+ data sources
- Fully managed, automated data pipeline solution
- Get analysis-ready data in real-time
- Get started in minutes, no setup, no-code
Hevo Data Alternatives & Comparisons
What are some alternatives to Hevo Data?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
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.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
Related Comparisons
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