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Learn MorePros of Druid
Pros of Snowflake
Pros of Druid
- Real Time Aggregations14
- Batch and Real-Time Ingestion6
- OLAP4
- OLAP + OLTP3
- Combining stream and historical analytics2
- OLTP1
Pros of Snowflake
- Public and Private Data Sharing4
- Good Performance3
- Multicloud3
- Serverless2
- User Friendly2
- Great Documentation2
- Usage based billing1
- Innovative1
- Economical1
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Cons of Druid
Cons of Snowflake
Cons of Druid
- Limited sql support3
- Joins are not supported well2
- Complexity1
Cons of Snowflake
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What is 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.
What is Snowflake?
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
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What companies use Druid?
What companies use Snowflake?
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What tools integrate with Druid?
What tools integrate with Snowflake?
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What are some alternatives to Druid and Snowflake?
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.
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.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Prometheus
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).