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What are some alternatives to Treasure Data?
Fluentd, Amazon Redshift, Google BigQuery, Amazon EMR, and Snowflake are the most popular alternatives and competitors to Treasure Data. "Lightweight" is the primary reason why developers choose Fluentd.
Fluentd
4
200
Unified logging layer
Why people like Fluentd:
- Lightweight
- Great for Kubernetes node container log forwarding
- Easy
Amazon Redshift
86
574
Fast, fully managed, petabyte-scale data warehouse service
Why people like Amazon Redshift:
- Data Warehousing
- Scalable
- SQL
- Backed by Amazon
Google BigQuery
91
382
Analyze terabytes of data in seconds
Why people like Google BigQuery:
- High Performance
- Easy to use
- Cheap Pricing
- Fully managed service
Amazon EMR
49
215
Distribute your data and processing across a Amazon EC2 instances using Hadoop
Why people like Amazon EMR:
- On demand processing power
- Don't need to maintain Hadoop Cluster yourself
- Hadoop Tools
- Elastic
Snowflake
0
82
The data warehouse built for the cloud
Stitch
9
49
All your data. In your data warehouse. In minutes.
Why people like Stitch:
- 3 minutes to set up
- Super simple, great support
Cloudera Enterprise
0
34
Enterprise Platform for Big Data
Alooma
0
16
Integrate any data source like databases, applications, and any API - with your own Amazon Redshift
Qubole
50
12
Prepare, integrate and explore Big Data in the cloud (Hive, MapReduce, Pig, Presto, Spark and Sqoop)
Why people like Qubole:
- Simple UI and autoscaling clusters
- Feature to use AWS Spot pricing
- Real-time data insights through Spark Notebook
- Easy to manage costs
Altiscale
28
5
Hadoop as a Service
Why people like Altiscale:
- The easiest, lowest cost, highest performing option
- Hadoop ops experts run it all for you, don't need ops
- Our data sci & analysts would scream if went back toEMR
- SOC2, PCI, HIPAA, Kerberos
Xplenty
2
4
Code-free data integration, data transformation and ETL in the cloud
Why people like Xplenty:
- Simple, easy to integrate/process data without coding
etleap
0
2
An ETL solution for engineering, analytics, and data science teams