Best Big Data Companies in New York

Researched by:Goodfirms Research TeamUpdated:September 22, 2026

Goodfirms has reviewed 145 Big Data Companies in New York as of September 2026. The top-ranked firm is Instinctools (4.9 stars, 27 verified reviews, $25 - $49/hr, founded 2000, NYC). Across the category, the median hourly rate is $37, median client rating is 4.8, and 52% of firms employ 50+ members. Explore the vetted Big Data Companies in New York below, compare their strengths, and connect with the provider best suited to your requirements.

New York is home to some top big data companies equipped with cutting-edge tools and expertise to meet evolving market demands. However, choosing the right service provider is essential for businesses seeking personalized solutions and data-driven strategies tailored to their unique needs. To help you make an informed decision, we have compiled a list of leading big data developers in New York. This list includes key insights into their capabilities, market experience, portfolios, and verified reviews and ratings. Whether you are looking for predictive analytics, AI-powered insights, or real-time data processing, this curated selection will streamline your search for the best big data analytics firms in New York that align with your business goals.

Goodfirms has verified 145 Big Data Companies in New York - part of 5,820+ Big Data Analytics Companies, each passing Goodfirms' 4-step verification process (background check, client interviews, portfolio audit, ongoing quality review). Listings marked "Sponsored" are agencies that pay for premium placement - sponsorship does not affect star ratings or review content.

Top 10 at Glance

Compare the highest-ranked firms first side by side.

Rank
Company
Rating
Reviews
Hourly Rate
Team Size
Founded
Location
Action

List of Top Big Data Analytics Companies in New York

Find a Big Data & BI Company Near you
Find a Big Data & BI Company Near you
Service
Hourly Rate
Employees
ReviewsAll Companies
Industry
Client Type
  • Aligning CX to Commerical Success We define what good customer experience means, align on how to deploy it in a brand-centric way, and tie it directly to commercial outcomes. We believe customer experience should not only acquire customers, but also retain and expand the relationship over time. From there, we align on how strategy, design, ... read G&CO reviews & insights

    $25 - $49/hr
    50 - 249
    2015
    NYC, United States

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Where the firms are.

Bubble size shows how many firms each country has; colour shows its average hourly rate. Tap any country for its firm count, average rate, rating, and Value Score.

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All cities ranked by Value Score.

Every city in scope, ranked by Value Score.

CityFirmsAvg RateAvg RatingValue ScoreAction
USNYC116$60/hr4.875View firms
USBuffalo6$63/hr573View firms
USQueens1$25/hr-69View firms
USLong Island1$75/hr567View firms
USSyracuse2$37/hr-66View firms
USRochester7$55/hr-61View firms
USBrooklyn8$62/hr-59View firms
USAlbany2$169/hr-15View firms
USWarwick1$175/hr-11View firms
USNYC
116 firms$60/hr4.8
Value Score75 / 100
USBuffalo
6 firms$63/hr5
Value Score73 / 100
USQueens
1 firms$25/hr
Value Score69 / 100
USLong Island
1 firms$75/hr5
Value Score67 / 100
USSyracuse
2 firms$37/hr
Value Score66 / 100
USRochester
7 firms$55/hr
Value Score61 / 100
USBrooklyn
8 firms$62/hr
Value Score59 / 100
USAlbany
2 firms$169/hr
Value Score15 / 100
USWarwick
1 firms$175/hr
Value Score11 / 100

Match by work-hour overlap with your team.

Cost matters - but so does being able to actually talk to your developer during your workday. Here are the best destinations for each major hub.

If you're in US (PT/ET)Recommended

Look for nearshore LATAM partners - same-day collaboration, similar time zones, and 50-60% cost savings vs domestic.

MXMexico~7h overlap
ARArgentina~6h overlap
BRBrazil~5h overlap
CACanada~8h overlap
If you're in Europe (CET/GMT)Recommended

Eastern Europe is your sweet spot - 1-2h time zone shift, EU GDPR alignment, and 40-50% lower rates than Western Europe.

PLPoland~8h overlap
UAUkraine~7h overlap
RORomania~7h overlap
ZASouth Africa~8h overlap

How firms are placed on the matrix

Every position on this chart is the output of the Goodfirms ranking algorithm - a weighted composite of signals across two axes. The algorithm is recomputed regularly and is fully documented.

Sponsorship does not affect placement. PRO members receive visible badges and ad placements, but their algorithmic scores are calculated identically to free listings.

Read the full methodology
Algorithm at a glance
1
X-axis (Core Competencies): Service Focus Ratio + Portfolio Depth + Quality + Experience
2
Y-axis (360-Performance): Client Reviews + Market Presence + Goodfirms Score
3
Missing signals are excluded from a firm's score, not substituted with defaults - weights redistribute across remaining inputs
4
Recency decay over the last 18 months keeps stale reviews from dominating
5
Eligibility floor: ≥ 1 published review in this category scope

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Cities with the best Value Score for big data & bi hiring.

Ranked by a composite score blending firm count (supply), average rating (quality), and median hourly rate (cost). Affordability is weighted highest (50%), so this list surfaces actually affordable destinations rather than just-big markets.

Budget leader
NYC · $0-24/hr

14 firms in this tier - more than any other city, averaging 4.9 ★. Top picks: AIMLEAP - Outsource Bigdata, Techmango Technology Services Private Limited, RisingMax Inc.

Mid-tier leader
NYC · $50-99/hr

15 firms in this tier - more than any other city, averaging 4.3 ★. Top picks: SumatoSoft, Sigli, Creative360 LLC.

Top tier leader
NYC · $150+/hr

5 firms in this tier - more than any other city. Top picks: IcreonTech, Accounting Prism, HappLabs Tech Inc..

Loading heatmap…
Cell intensity (firm density):
Low
High
Best Value marks the densest, highest-rated, most-affordable cell per row

How the heatmap is built

Every cell in the grid above is the count of firms in (place × hourly-rate tier). Firms are placed by their published hourly rate; those without a disclosed rate are not plotted.

Top company names per cell are surfaced by Value Score - a weighted blend of affordability (50%) + rating (35%) + review volume (15%).

The "Best" ribbon marks the cell in each row where firm density, ratings, and affordability line up best - the densest, highest-quality combination.

Read the full methodology
Value Score · per firm
ValueScore = 0.50 × Affordability
+ 0.35 × Rating
+ 0.15 × Review Volume
// All sub-scores normalized 0-100
// Affordability = (1 - rate/$200) × 100
// Rating = (rating - 3) / 2 × 100
// Volume = log10(reviews+1)/log10(200) × 100

Found your target region?

Browse all big data & bi firms in your chosen country - or let our AI hand-pick 3 matches based on your project, budget, and time-zone preference.

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