Data toolset

Build a robust and scalable data engineering stack with Syntra

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

Apache HDFS

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

Apache Druid

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

ClickHouse

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

Ceph

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

MinIO

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

Paid solutions

Amazon S3

Amazon S3

Scalable object storage service for secure data storage, retrieval, and backup in the cloud
Azure Data Lake Storage

Azure Data Lake Storage

Secure cloud storage service optimized for big data analytics and processing
Google Cloud Storage

Google Cloud Storage

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

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

Databricks

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

Google BigQuery

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

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

Airbyte

Syncing data between APIs, databases, and warehouses
Singer

Singer

Extracting, transforming, and loading data
Logstash

Logstash

Collecting, transforming, and forwarding data in real time.
Fluentd

Fluentd

Unifying and processing logs and event data in real-time
Apache Kafka

Apache Kafka

Real-time data pipelines and applications
Redpanda

Redpanda

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

Paid solutions

IBM InfoSphere DataStage

IBM InfoSphere DataStage

Designing, developing, and running data integration workflows
Oracle GoldenGate

Oracle GoldenGate

Transactional data management
SAP Data Services

SAP Data Services

Data integration, transformation, and cleansing
Google Cloud Data Fusion

Google Cloud Data Fusion

Building and managing scalable data integration pipelines
Azure Data Factory

Azure Data Factory

Creating, scheduling, and orchestrating ETL workflows at scale
AWS Glue

AWS Glue

Discovering, preparing, and integrating data for analytics and ML
Azure Event Hubs

Azure Event Hubs

Real-time event ingestion and processing
Sub

Google Pub/Sub

Real-time messaging service
AWS Kinesis Data Streams

AWS Kinesis Data Streams

Collecting, processing, and analyzing streaming data

Build a high-load, real-time data stack tailored to your industry, team, and business needs

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Data processing and transformation

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

Open-source solutions

Apache Flink

Apache Flink

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

Apache Spark

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

TensorFlow

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

Dbt

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

Paid solutions

Azure Data Factory

Azure Data Factory

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

Databricks

Unified data platform for big data processing, machine learning, and collaborative data engineering
AWS Glue

AWS Glue

Fully managed ETL service for data discovery, preparation, and integration across various data sources
Google Dataflow

Google Dataflow

Fully managed service for stream and batch data processing using Apache Beam pipelines
AWS Lambda

AWS Lambda

Serverless compute service for running code in response to events, without managing infrastructure
Azure Stream Analytics

Azure Stream Analytics

Real-time data stream processing service for analyzing and acting on data from multiple sources

Data consumption and utilization

Leverage scalable solutions for real-time data exchange and communication

Open-source solutions

RESTful APIs

RESTful APIs

Standardized web interfaces enabling scalable communication and integration between applications
Webhooks

Webhooks

Automated HTTP notifications enabling real-time data exchange and system integrations
Apache Superset

Apache Superset

Platform for interactive data visualization and comprehensive dashboard creation

Paid solutions

Looker

Looker

Cloud-based BI tool for creating interactive dashboards and collaborative data insights
Qlik Sense

Qlik Sense

Self-service BI platform for interactive data visualization and advanced analytics
AWS Athena

AWS Athena

Serverless SQL service for querying and analyzing data stored in Amazon S3
Google BigQuery

Google BigQuery

Fully managed, serverless data warehouse for fast, scalable analytics on large datasets
Azure Data Lake Storage

Azure Data Lake

Scalable analytics service for processing and analyzing big data on Azure

Be among the leaders in the data economy with a custom data stack

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Data observability and monitoring

Monitor the health of your data and detect errors

Open-source solutions

Prometheus

Prometheus

Monitoring system and time-series database for collecting and analyzing metrics
Grafana

Grafana

Dashboard for visualizing and analyzing metrics from diverse data sources
ELK Stack (Elasticsearch, Logstash, Kibana)

ELK Stack (Elasticsearch, Logstash, Kibana)

ELK Stack (Elasticsearch, Logstash, Kibana)
Elasticsearch, Logstash, Kibana for search, data ingestion, and visualization

Paid solutions

Datadog

Datadog

Comprehensive monitoring and analytics platform for cloud infrastructure, applications, and logs
New Relic

New Relic

Observability platform for monitoring and analyzing applications and infrastructure performance
AWS CloudWatch

AWS CloudWatch

Monitoring and observability service for AWS resources and application metrics
Google Cloud Operations

Google Cloud Operations Suite (formerly Stackdriver)

Integrated monitoring, logging, and diagnostics for managing cloud applications
Azure Monitor (Azure)

Azure Monitor

Unified monitoring platform for collecting and analyzing telemetry from cloud and on-premises environments