Data Toolset

Build a robust and scalable data engineering stack

Our multi-layer data engineering tech stack helps teams manage and analyze data effectively.

Build a real-time engineering data platforms based on tried-and-tested data warehouses, data lakes, data integration tools, data visualization, BI, and governance software.

Data storage

Get expert guidance on choosing between data warehouse, data lake, or a mix of the two for data storage

Open-source solutions

Apache HDFS

Distributed file system for scalable storage and processing of large datasets across clusters

Apache Druid

Real-time analytics database for fast, scalable querying and ingesting of large event streams

ClickHouse

Columnar database management system optimized for high-performance real-time analytics on large datasets

Ceph

Distributed storage system providing scalable object, block, and file storage for large data environments

MinIO

High-performance object storage system compatible with the S3 API for cloud-native environments

Paid solutions

Amazon S3

Scalable object storage service for secure data storage, retrieval, and backup in the cloud

Azure Data Lake Storage

Secure cloud storage service optimized for big data analytics and processing

Google Cloud Storage

Scalable, secure object storage solution for unstructured data, with built-in analytics and backup

IBM Cloud Object Storage

High-security scalable cloud object storage for storing and managing unstructured data

Snowflake

Cloud-based data platform for scalable data warehousing, analytics, and secure data sharing

Databricks

Unified data analytics platform for big data processing, machine learning, and collaborative data science

Google BigQuery

Fully managed, serverless data warehouse for fast, scalable analytics on large datasets

Azure Blob Storage

Scalable object storage service for unstructured data, optimized for cloud applications and analytics

Data ingestion

Scalable and cost-effective data ingestion tools for batch processing and data streaming.

Open-source solutions

Airbyte

Syncing data between APIs, databases, and warehouses

Singer

Extracting, transforming, and loading data

Logstash

Collecting, transforming, and forwarding data in real time.

Fluentd

Unifying and processing logs and event data in real-time

Apache Kafka

Real-time data pipelines and applications

Redpanda

High-performance, low-latency real-time data processing

Paid solutions

IBM InfoSphere DataStage

Designing, developing, and running data integration workflows

Oracle GoldenGate

Transactional data management

SAP Data Services

Data integration, transformation, and cleansing

Google Cloud Data Fusion

Building and managing scalable data integration pipelines

Azure Data Factory

Creating, scheduling, and orchestrating ETL workflows at scale

AWS Glue

Discovering, preparing, and integrating data for analytics and ML

Azure Event Hubs

Real-time event ingestion and processing

Google Pub/Sub

Real-time messaging service

AWS Kinesis Data Streams

Collecting, processing, and analyzing streaming data

Data processing and transformation

Build a tech stack for processing raw data and transforming it to fit business logic

Open-source solutions

Apache Flink

Stream processing framework for real-time, scalable, and distributed data processing and analytics

Apache Spark

Unified analytics engine for large-scale data processing, featuring batch and real-time streaming capabilities

TensorFlow

Platform for machine learning and deep learning, used for building and deploying AI models

Dbt

Data transformation tool enabling analytics engineers to transform, test, and document data in SQL

Paid solutions

Azure Data Factory

Cloud-based data integration service for orchestrating and automating data movement and transformation at scale