Sift Science Tech Stack 2026: Complete List of 97+ Tools, Technologies & Software
Sift Science's tech stack includes 97+ tools spanning cloud infrastructure (AWS, Azure, GCP), data engineering (Snowflake, BigQuery, Databricks), ML and inference (LLMs, Generative AI, PyTorch), analytics and observability (Looker, Google Analytics, Jupyter), programming languages (Python, Java, Ruby).
Below is the complete list of technologies Sift Science uses in 2026.
What tools does Sift Science use?
Sift Science uses 97+ tools across cloud infrastructure, data engineering, ML and inference, analytics and observability, programming languages. Core tools include AWS, Snowflake, LLMs, Looker, Jenkins, APIs. Primary programming languages are Python, Java, Ruby, Scala.
Cloud & Infrastructure
AWS
Azure
Docker
GCP
Kubernetes
Terraform
Data Engineering & Pipelines
Airflow
Apache Beam
BigQuery
Bigtable
Cassandra
Databricks
dbt
Kafka
MongoDB
PostgreSQL
Redis
SQL
Snowflake
Spark
Machine Learning & Inference
AI
Machine Learning
ML
PyTorch
TensorFlow
ChatGPT
GenAI
Generative AI
LLMs
Analytics & Observability
Google Analytics
Jupyter
Looker
Pandas
Programming Languages
Java
Python
Ruby
Scala
DevOps & CI/CD
Jenkins
Frontend, API & Mobile
APIs
gRPC
REST
REST APIs
Sales, Marketing & CRM
CRM
Gong
Outreach
Salesforce
Google Ads
Marketo
Operations & Productivity
Asana
Atlassian
Confluence
Excel
Google Suite
Jira
Zoom
Conga
CPQ
DocuSign
Other Tools
Absorb
Absorb Lms
Apache Flink
Apache Spark
Articulate
Articulate 360
Camtasia
Dataflow
Deep Learning
Dropwizard
Elasticsearch
Hbase
Java 11
Leandata
Lexisnexis
Linkedin Ads
Mapreduce
NoSQL
On24
Pub/Sub
Pyspark
Python 3
Rails
Restful Apis
Rise 360
Robohelp
Ruby 2.7
Ruby On Rails
Saas
Sidekiq
Snagit
Social Media Management Tools
Spanner
Spiff
Vault
Webex
Zookeeper
Zoominfo
RabbitMQ