Comprehensive Comparison: Singdata Lakehouse vs. Snowflake, Databricks, and BigQuery

This comprehensive comparison delivers an in-depth analysis of Singdata Lakehouse's positioning and advantages against industry-leading competitors Snowflake, Databricks, and BigQuery.

Our evaluation prioritizes performance and cost—the two factors organizations care about most—before examining three additional dimensions critical for modern data analytics solutions, providing you with a clear and thorough foundation for decision-making.

Singdata delivers best performance in all 3 scenarios, followed by Snowflake. In real-time analytics testing, Singdata is 2.6x-9.6x faster.
Singdata is 3x-6x lower in cost than Snowflake and 6x-12x lower than Databricks.
From an architectural perspective, Singdata offers an advanced Lakehouse architecture similar to Databricks, combined with the ease of use and maintenance-free features akin to Snowflake. It brings together the best of both worlds.

Performance & Cost:

Based on the benchmark performance comparison chart, Singdata demonstrates significant performance advantages across all three tested workloads（For detailed metrics, please refer to the table below.）

SSB-FLAT 100GB (Real-time Analytics)
TPC-H 100GB(Small-scale Reporting/BI Workloads)
TPC-DS 1TB(Complex Queries)

Exceptional performance translates to reduced costs:

Following our summary of Performance and Cost factors, we extend our analysis to cover three additional critical dimensions: Architecture, Scalability, and Use Cases. These five evaluation criteria collectively provide a holistic view of each platform's capabilities, limitations, and ideal implementation scenarios, with detailed metrics presented in the comparative tables below. This comprehensive framework enables you to make an informed decision that aligns with your organization's specific data strategy requirements.

1. Architecture

	Preview Singdata	Preview Snowflake	Preview Databricks	Preview BigQuery
Storage/Compute Separation	Yes	Yes	Yes	Yes
Supported cloud infrastructure	AWS / GCP / Alibaba Cloud / Tencent Cloud / Huawei Cloud	AWS, Azure, GCP	AWS, Azure, Google Cloud	Google Cloud Only
Deployment Mode	• SaaS • VPC On Premise	SaaS – Isolated tenancy available via “VPS” tier	Hybrid of SaaS and PaaS(BYOC)	SaaS
Isolated tenancy – option for dedicated resources	Multi-tenant pooled resources – Isolated tenancy available via “VPC” tier	Multi-tenant pooled resources – Isolated tenancy available via “VPS” tier	Control plane in Databricks account; Data Plane in customer VPC (optional), Storage in customer VPC. Serverless SQL runs in Multi-tenant environment	Multi-tenant pooled resources – “VPC Service Controls” can be used to limit connectivity to your VPC
Control vs abstraction of compute	Configurable cluster size (1-128 nodes, 256 and 512 in preview) – Compute types： • General Purpose • Analysis Purpos	Configurable cluster size (1-128 nodes, 256 and 512 in preview) – No control over compute types	Configurable clusters and instance types. Serverless option runs in Databricks VPC using containers	Serverless, no control over compute (BigQuery determines how many “slots” each query needs)

2. Scalability

	Preview Singdata	Preview Snowflake	Preview Databricks	Preview BigQuery
Elasticity – Scaling for larger data volumes and faster queries	Yes Autoscaling cluster with sub-millisecond latency	Yes Cluster resize	Yes Autoscaling clusters in minutes	Serverless or slots autoscaling
Elasticity – Scaling for higher concurrency	Yes Concurrency Scaling with sub-millisecond latency	Automatic Concurrency Scaling	Partially supported by SQL warehouses 10 queries per cluster limit.	Automatic query execution scaling with multi-slot resource management

3. Performance

Benchmark	Duration	Preview Singdata	Preview Snowflake	Preview Databricks	Preview BigQuery
SSB-FLAT 100GB [Real-time Analytics]	Duration(Second)	1.9	5.0	12.7	9.3
	Compute Config	XLarge(128 vCore)	XLarge(128 vCore)	Large	Standard 600 Slot
TPC-H 100GB [Small-scale Reporting/BI Workloads]	Duration(Second)	22.7	28.36	50.6	201
	Compute Config	XLarge(128 vCore)	XLarge(128 vCore)	Large	Standard 600 Slot
TPC-DS 1TB [Complex Queries]	Duration(Second)	208	314	386	1248
	Compute Config	XLarge(128 vCore)	XLarge(128 vCore)	Large	Standard 600 Slot

Note For this benchmark, no special tuning was applied. Singdata, Snowflake , Databricks and BigQuery were used with their default settings.

4. Cost

	Preview Singdata	Preview Snowflake	Preview Databricks	Preview BigQuery
Region	AWS, Singapore	AWS, AP Singapore	AWS, AP Singapore	Singapore
Pricing(USD)	0.0044 CRU/Second XLarge $1.24/CRU*h Enterprise Edition $0.0055/Second	0.0044 Credit/Second XLarge $2.50 /credit*h Standard Edition $0.011/Second	$0.0011 DBU /Second SQL Serverless Large $0.88/DBU*h Premium Edition $0.0098/Second	Standard $0.049 slot/hour 300 Slot: $0.0039/Second 600 Slot: $0.0082/Second
SSB-FLAT 100GB [Real-time Analytics]	$ 0.010	$0.059	$0.12	$0.08
TPC-H 100GB [Small-scale Reporting/BI Workloads]	$0.12	$0.31	$0.50	$0.16
TPC-DS 1TB [Small-scale ETL Workloads]	$2.21	$5.39	$6.32	$10.23

5. Use Cases

	Preview Singdata	Preview Snowflake	Preview Databricks	Preview BigQuery
Batch Data Process	Yes,SQL and Zettapark	Yes,SQL and Serverless Spark	Yes, Spark SQL Declarative ETL framework simplifying batch and streaming development	Yes,SQL and Snowpark
Continous Pipeline	Streaming Ingestion：Append/Upsert Table Stream , Dynamic Table	Snowpipe Streaming Stream+Task, Dynamic Table	Structured Streaming: Append/Upsert Auto Loader: Automatically detects and processes new data files Delta Live Tables: Supports streaming tables and streaming pipelines	Yes,SQL and Serverless Spark
BI/Ad-hoc	Yes	Yes	Yes	Yes
Operational Analytics	Yes Real-time CDC replication Enable sub-second, high-concurrency analytics at scale	Yes Query acceleration: Optimized performance for operational workloads	Limited support	Yes