|
|
Companies that want to see a specific, delivered big data pipeline before hiring a development partner. |
Directly reviewed data pipeline build (lake, warehouse, reporting, alerting); 4.9/5 across 24 reviews; accessible ~$4,200 entry point. |
9.3/10
|
27 |
$10,000+ |
50–249 |
San Francisco, United States |
|
|
Enterprises that need big data systems built at enterprise scale, with the engineering bench to match the ambition. |
BI & Big Data is 36% of service mix; 1,000–9,999 employee engineering bench; Clutch-verified entity. |
9.2/10
|
35 |
$100,000+ |
1000–9999 |
Malmö, Sweden |
|
|
Companies that need to build a big data system fast, with a large team that can scale up mid-project if scope grows. |
3,000+ developer bench; BI & Big Data listed as priced service; 4.9/5 across 102 reviews, largest sample here. |
9.0/10
|
102 |
$50,000+ |
1000–9999 |
New York, United States |
|
|
Large-scale big data development projects that need to integrate with a much bigger enterprise software program. |
BI & Big Data is a named 10% line inside a 50% Custom Software Development practice; 4.8/5 across 31 reviews; 2,000+ employees. |
8.6/10
|
31 |
$25,000+ |
1000–9999 |
Tallinn, Estonia |
|
|
Big data development projects centered on custom algorithms and predictive models, not just infrastructure and pipelines. |
Custom AI models and predictive systems as core build work; 4.8/5 across 20 reviews; AI/data engineering pure-play since 2014. |
8.4/10
|
20 |
$10,000+ |
50–249 |
Vilnius, Lithuania |
|
|
Enterprises that want big data development delivered by a team with strong overall engineering discipline, even if data isn't the headline specialty. |
BI & Big Data is a named 10% service line; 4.9/5 across 30 reviews; enterprise-scale delivery since 2002. |
8.2/10
|
30 |
$50,000+ |
1000–9999 |
Kraków, Poland |
|
|
Regulated-industry big data builds (healthcare, finance) that need to pass compliance audits after development. |
BI & Big Data priced as a distinct service; 4.8/5 across 42 reviews; ISO 9001/27001/13485 certified development process. |
8.0/10
|
42 |
$5,000+ |
250–999 |
McKinney, United States |
|
|
Big data builds that are really Azure cloud infrastructure projects at their core, not standalone data-pipeline engineering. |
86 Clutch reviews at 4.8/5, deepest evidence base in this ranking; Azure Expert MSP status for cloud-native data systems. |
7.6/10
|
86 |
$25,000+ |
1000–9999 |
Orlando, United States |
|
|
Companies that want their existing data turned into an AI-queryable product, not a traditional data warehouse or pipeline build. |
Perfect 5.0/5 rating; RAG-as-a-Service turns data into an AI-queryable product; best suited to a narrow, high-touch engagement. |
7.3/10
|
12 |
$10,000+ |
10–49 |
Bengaluru, India |
|
|
Businesses that need a narrow data-extraction and automation build wired into existing business systems, not a full big data platform. |
Data-extraction automation wired into CRM/ERP/BI; small 11–20 person team; low $5,000 minimum project entry point. |
6.7/10
|
— |
$10,000+ |
10–49 |
— |