Azure Synapse Analytics vs PrestoDB

Azure Synapse Analytics9.0Visit PPrestoDB8.6Visit

Higher score Azure Synapse Analytics #3 in Big Data Analytics Software 9.0/10 Pricing on request ✓ 0 of 1 features Visit Microsoft

vs

P PrestoDB #7 in Big Data Analytics Software 8.6/10 Open source ✓ 0 of 1 features Visit PrestoDB

• Azure Synapse Analytics fits best

  Azure-centric enterprise analytics teams

• PrestoDB fits best

  Teams querying data across many existing systems

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Side by side

Feature	Azure Synapse Analytics 9.0/10 Visit ↗	PPrestoDB 8.6/10 Visit ↗
At a glance
Editor score	9.0	8.6
Ranking	#3 in Big Data Analytics Software	#7 in Big Data Analytics Software
Best for	Azure-centric enterprise analytics teams	Teams querying data across many existing systems
Pricing model	Paid	Free
Starting price	—	Open source
Free plan	—	Not checked yet
Free trial	—	—
Deployment	Cloud	Self-hosted
Platforms	Web	Web, macOS, Linux
Support	Docs, Community	Community, Docs
Integrations	90+ integrations	17 integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features Azure Synapse Analytics 0/1 · PrestoDB 0/1
Built-in visualization	Not checked yet	Not checked yet
Specs
Deployment	Not checked yet	Not checked yet
Processing model	Not checked yet	Not checked yet
Documented data scale	Not checked yet	Not checked yet
Data source connectors	Not checked yet	Not checked yet
Query languages	Not checked yet	Not checked yet
Our review
Pros	Combines dedicated and serverless SQL with Apache Spark and Data Explorer Queries Parquet, CSV, TSV, JSON, and Delta Lake data in data lakes Connects pipelines, streaming ingestion, and machine learning workloads	Federated SQL queries across multiple catalogs and systems Connectors span databases, data platforms, and cloud stores Resource groups, access controls, and secure communications
Cons	No free plan; pricing is usage- and agreement-dependent Broad scope can be more than teams needing a focused analytics tool require Cloud deployment and Azure integrations make it a less natural fit outside Azure	Requires self-hosted deployment and cluster administration A query engine, not a general-purpose relational database Community and documentation are the listed support channels
Our verdict	Azure Synapse Analytics brings data warehousing, data-lake exploration, big data processing, and integration into Microsoft's cloud. It is aimed at mid-market and enterprise teams, particularly those building analytics around Azure… Read the review →	PrestoDB is an open-source distributed SQL query engine for teams that need to query large datasets across existing systems. It runs as a coordinator-and-worker cluster and uses connectors to access heterogeneous sources, so analysts can… Read the review →

Strengths and trade-offs

• Azure Synapse Analytics — where it wins

  • Combines dedicated and serverless SQL with Apache Spark and Data Explorer
  • Queries Parquet, CSV, TSV, JSON, and Delta Lake data in data lakes
  • Connects pipelines, streaming ingestion, and machine learning workloads

  Where it doesn't

  • No free plan; pricing is usage- and agreement-dependent
  • Broad scope can be more than teams needing a focused analytics tool require
  • Cloud deployment and Azure integrations make it a less natural fit outside Azure

• PrestoDB — where it wins

  • Federated SQL queries across multiple catalogs and systems
  • Connectors span databases, data platforms, and cloud stores
  • Resource groups, access controls, and secure communications

  Where it doesn't

  • Requires self-hosted deployment and cluster administration
  • A query engine, not a general-purpose relational database
  • Community and documentation are the listed support channels

• Azure Synapse Analytics9.0/10 · Pricing on request

  A broad Azure analytics service for teams combining SQL, Spark, data lakes, and pipelines.

  Visit MicrosoftFull verdict →
• PPrestoDB8.6/10 · Open source

  Query data across existing systems with a self-hosted, connector-based SQL engine.

  Visit PrestoDBFull verdict →