Let Upsolver Do The Heavy Lifting For You

Simplify your big data architecture by streamlining data integration, preparation and management with a robust data lake platform.

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Reading Data

Upsolver reads your raw data as is: JSON, CSV, TSV, Avro, Parquet and more.

Build-it integrations: S3 / Kafka / Kinesis
Exactly-once read from Kafka / Kinesis
Replay from S3

Delivering Data

Upsolver delivers data to:

S3 in various file formats including JSON, CSV, AVRO, Parquet. Upsolver also manages partitions and optimizes S3 file sizes
Analytics databases like Athena, Redshift and ElasticSearch
Upsolver itself for key based API requests in under 1 millisecond

Enrichments

Upsolver offers 100s of functions to clean and enrich raw data including hierarchies and arrays:

Standard ansi-SQL functions
Advanced functions for numbers, strings, dates and arrays
Extraction of geo data from IPs (using MaxMind)
User agent parser
Filters
User defined functions in Python

Aggregations

Upsolver offers streaming aggregations that work for any size time window (using S3):

Regular or aggregated output tables
Sessionization
Accurate count distinct in real-time and at scale
Nested aggregations for user/device profiling

Monitoring

All of Upsolver’s monitoring metrics are sent to internal monitoring system like DataDog or Influx. Upsolver user interface can also be used for monitoring.