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Compare Rippling and Sequoia Advisory 
Featured Products
At a Glance
Market Segments
Mid-Market (62.3% of reviews)
Mid-Market (62.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Rippling
Star Rating
(11,108)4.8 out of 5
Market Segments
Mid-Market (62.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about RipplingSequoia Advisory
Star Rating
(24)3.1 out of 5
Market Segments
Mid-Market (62.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Sequoia AdvisorySummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Sequoia's "Expense Management" feature, rated at 8.7, lacks some advanced functionalities compared to Rippling's higher-rated expense management capabilities, which received a score of 9.3. Reviewers mention that Rippling's "Employee Reimbursement" process is more streamlined and user-friendly.
- Reviewers mention that Sequoia's "Time, Attendance, and PTO" feature, rated at 9.5, is robust, but users on G2 highlight that Rippling offers superior "Time Tracking" integration, making it easier to manage billable hours and project tracking with a score of 9.3.
- Users say that Sequoia's "Compliance Support" feature, rated at 9.1, is effective, but Rippling's compliance features, which also scored 9.1, are noted for their more comprehensive "Regulatory Compliance" tools that help businesses navigate complex regulations more efficiently.
- G2 users report that Sequoia's "User on/off Boarding" capabilities, with a score of 9.3, are satisfactory, but reviewers mention that Rippling excels in "Smart/Automated Provisioning," which received a score of 9.4, allowing for a more automated and less error-prone onboarding process.
- Users on G2 highlight that Sequoia's "Benefits Administration" feature, rated at 9.5, is strong, but Rippling's "Benefits Dashboards," which scored 9.5, provide a more intuitive interface for managing employee benefits, making it easier for HR teams to visualize and manage benefits data.
- Reviewers mention that while Sequoia's "Quality of Support" is rated at 7.3, Rippling shines with a score of 9.3, indicating that users find Rippling's customer service more responsive and helpful, particularly when resolving issues related to "Payroll Entry" and "Direct Deposit."
Pricing
Entry-Level Pricing
Rippling
No pricing availableSequoia Advisory
No pricing availableFree Trial
Rippling
No trial information availableSequoia Advisory
No trial information availableRatings
Meets Requirements
9.5
7,798
Not enough data
Ease of Use
9.5
8,099
Not enough data
Ease of Setup
9.3
5,591
Not enough data
Ease of Admin
9.0
1,473
Not enough data
Quality of Support
9.3
6,543
Not enough data
Quality of Work
Not enough data
7.2
18
Responsiveness
Not enough data
7.5
20
Expertise of Team
Not enough data
7.4
19
Execution Ability
Not enough data
7.2
20
Communication Skills
Not enough data
7.2
20
Professionalism
Not enough data
8.0
20
Has the product been a good partner in doing business?
9.1
1,450
7.0
20
Product Direction (% positive)
9.5
7,666
Not enough data
Features by Category
Planning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Delivery
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Core HR
9.4
3258
Not enough data
9.5
3572
Not enough data
8.6
2917
Not enough data
9.0
3014
Not enough data
9.2
3028
Not enough data
9.4
3292
Not enough data
Generative AI
8.2
1292
Not enough data
Platform
8.9
4144
Not enough data
8.8
3937
Not enough data
8.8
3817
Not enough data
9.2
4045
Not enough data
9.4
4119
Not enough data
9.2
3982
Not enough data
9.0
3941
Not enough data
9.3
4012
Not enough data
Employee Self Service
9.6
4001
|
Verified
Not enough data
9.4
3827
|
Verified
Not enough data
9.2
3696
|
Verified
Not enough data
Administration
9.4
3677
|
Verified
Not enough data
9.4
3688
|
Verified
Not enough data
9.7
3798
|
Verified
Not enough data
9.0
3344
|
Verified
Not enough data
9.4
3547
|
Verified
Not enough data
9.1
3283
|
Verified
Not enough data
9.4
3455
|
Verified
Not enough data
9.3
3426
|
Verified
Not enough data
9.3
3378
|
Verified
Not enough data
Taxes
9.3
3474
|
Verified
Not enough data
9.2
3366
|
Verified
Not enough data
9.1
3305
|
Verified
Not enough data
Integration
9.0
3184
|
Verified
Not enough data
9.1
3188
|
Verified
Not enough data
9.0
3108
|
Verified
Not enough data
9.2
3168
|
Verified
Not enough data
Platform
9.3
3351
|
Verified
Not enough data
9.4
3364
|
Verified
Not enough data
9.4
3481
|
Verified
Not enough data
9.4
3303
|
Verified
Not enough data
Benefits Administration Platform Features
9.4
2073
Not enough data
9.4
2034
Not enough data
9.0
1821
Not enough data
9.3
1956
Not enough data
9.4
1937
Not enough data
9.5
2047
Not enough data
9.2
1803
Not enough data
9.2
1874
Not enough data
Benefits Administration Platform Features
9.4
2073
Not enough data
9.4
2034
Not enough data
9.0
1821
Not enough data
9.3
1956
Not enough data
9.4
1937
Not enough data
9.5
2047
Not enough data
9.2
1803
Not enough data
9.5
1541
Not enough data
9.2
1874
Not enough data
9.0
1614
Not enough data
8.9
1378
Not enough data
9.1
1443
Not enough data
Generative AI
8.3
561
Not enough data
8.3
559
Not enough data
8.2
557
Not enough data
Platform
8.9
4144
Not enough data
8.8
3937
Not enough data
8.8
3817
Not enough data
9.2
4045
Not enough data
9.4
4119
Not enough data
9.2
3982
Not enough data
9.0
3941
Not enough data
9.3
4012
Not enough data
Compliance
9.1
159
Not enough data
9.0
140
Not enough data
9.0
144
Not enough data
Platform
9.2
181
Not enough data
9.2
171
Not enough data
9.3
180
Not enough data
Support
9.1
164
Not enough data
9.0
155
Not enough data
9.0
142
Not enough data
8.8
146
Not enough data
9.0
166
Not enough data
9.0
179
Not enough data
9.1
161
Not enough data
Automation
9.3
1729
Not enough data
Logistics
9.2
1743
Not enough data
9.2
1676
Not enough data
Feature Not Available
Not enough data
Management
9.1
1630
Not enough data
9.3
1672
Not enough data
9.4
1762
Not enough data
9.4
1753
Not enough data
9.4
1738
Not enough data
9.5
1805
Not enough data
9.3
1689
Not enough data
Monitoring
9.2
1635
Not enough data
9.2
1628
Not enough data
9.2
1639
Not enough data
Processing
9.5
249
Not enough data
9.4
223
Not enough data
9.5
225
Not enough data
9.4
221
Not enough data
Compliance
9.4
217
Not enough data
9.3
219
Not enough data
9.4
217
Not enough data
Integration
9.2
215
Not enough data
9.4
214
Not enough data
9.2
212
Not enough data
Reporting
9.2
208
Not enough data
9.1
207
Not enough data
9.4
215
Not enough data
Platform Basics
9.0
719
Not enough data
9.4
752
Not enough data
9.1
711
Not enough data
9.3
724
Not enough data
Platform Functionality
9.1
715
Not enough data
9.3
718
Not enough data
Platform Data
9.1
707
Not enough data
9.2
726
Not enough data
9.1
710
Not enough data
9.2
713
Not enough data
Platform Basics
8.9
623
Not enough data
9.2
640
Not enough data
Platform Data
9.1
626
Not enough data
8.9
630
Not enough data
9.1
642
Not enough data
Platform Content
9.0
629
Not enough data
8.9
613
Not enough data
9.0
616
Not enough data
Generative AI
8.2
316
Not enough data
Platform Basics
9.2
264
Not enough data
9.4
266
Not enough data
9.3
263
Not enough data
Platform Performance
9.3
269
Not enough data
9.2
257
Not enough data
Platform Functionality
9.3
264
Not enough data
9.2
254
Not enough data
9.3
259
Not enough data
Platform Additional Functionality
9.3
273
Not enough data
9.0
254
Not enough data
9.0
257
Not enough data
Generative AI
8.5
136
Not enough data
Training & eLearning
9.2
449
Not enough data
9.0
415
Not enough data
9.0
411
Not enough data
9.0
411
Not enough data
Platform Basics
9.2
397
Not enough data
9.4
406
Not enough data
9.4
399
Not enough data
Platform Content
9.2
392
Not enough data
9.0
389
Not enough data
9.1
386
Not enough data
Platform Additional Functionality
9.1
382
Not enough data
9.2
387
Not enough data
9.0
379
Not enough data
9.3
385
Not enough data
9.1
380
Not enough data
Performance reviews
9.2
228
Not enough data
9.3
216
Not enough data
9.3
219
Not enough data
Goals
9.0
222
Not enough data
9.0
211
Not enough data
Feedback
9.1
211
Not enough data
9.0
212
Not enough data
8.9
212
Not enough data
8.7
201
Not enough data
Data
9.1
212
Not enough data
9.1
209
Not enough data
Agentic AI - Performance Management
8.2
111
Not enough data
8.4
110
Not enough data
Platform Basics
9.3
395
Not enough data
9.4
386
Not enough data
Platform Administration
9.1
379
Not enough data
9.2
379
Not enough data
9.2
379
Not enough data
Platform Payment Content
9.3
384
Not enough data
9.1
378
Not enough data
9.2
378
Not enough data
Reports
8.7
230
Not enough data
9.0
230
Not enough data
8.8
228
Not enough data
8.9
229
Not enough data
Cleaning
8.9
228
Not enough data
8.8
225
Not enough data
8.9
223
Not enough data
Generative AI
8.3
131
Not enough data
8.2
128
Not enough data
8.1
127
Not enough data
Compatability
8.9
458
Not enough data
9.0
460
Not enough data
8.7
453
Not enough data
Benefits
Feature Not Available
Not enough data
8.8
458
Not enough data
Generative AI
8.9
6
Not enough data
8.9
6
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Resource Planning - Workforce Planning
9.0
149
Not enough data
9.1
151
Not enough data
9.2
148
Not enough data
9.0
147
Not enough data
Human Resources - Workforce Planning
9.2
146
Not enough data
9.1
149
Not enough data
9.2
151
Not enough data
9.2
148
Not enough data
Agentic AI - Applicant Tracking Systems (ATS)
8.3
47
Not enough data
8.4
50
Not enough data
8.4
49
Not enough data
Sourcing
8.8
250
Not enough data
8.8
242
Not enough data
8.5
52
Not enough data
8.7
58
Not enough data
8.8
54
Not enough data
Candidate Management - Applicant Tracking System
9.0
248
Not enough data
8.9
57
Not enough data
8.8
61
Not enough data
8.6
51
Not enough data
8.7
55
Not enough data
8.5
51
Not enough data
8.7
54
Not enough data
Platform
8.9
4144
Not enough data
8.8
3937
Not enough data
8.8
3817
Not enough data
9.2
4045
Not enough data
9.4
4119
Not enough data
9.2
3982
Not enough data
9.0
3941
Not enough data
9.3
4012
Not enough data
AI - Applicant Tracking Systems (ATS)
8.3
47
Not enough data
8.4
47
Not enough data
8.5
49
Not enough data
Agentic AI - Onboarding
8.3
245
Not enough data
8.4
247
Not enough data
8.4
247
Not enough data
8.4
248
Not enough data
8.4
249
Not enough data
Platform Content
9.1
940
Not enough data
9.2
963
Not enough data
9.4
979
Not enough data
9.0
936
Not enough data
9.2
953
Not enough data
9.1
936
Not enough data
Platform Additional Functionality
9.4
953
Not enough data
8.9
901
Not enough data
9.2
915
Not enough data
9.3
927
Not enough data
9.3
928
Not enough data
Platform Data
9.0
862
Not enough data
9.1
879
Not enough data
9.1
881
Not enough data
Platform
8.9
4144
Not enough data
8.8
3937
Not enough data
8.8
3817
Not enough data
9.2
4045
Not enough data
9.4
4119
Not enough data
9.2
3982
Not enough data
9.0
3941
Not enough data
9.3
4012
Not enough data
Recruiting and Onboarding
8.8
830
Not enough data
9.3
911
Not enough data
Course Authoring
8.7
197
Not enough data
8.7
200
Not enough data
8.7
197
Not enough data
8.5
192
Not enough data
Course Delivery
8.9
197
Not enough data
9.2
209
Not enough data
9.0
206
Not enough data
Course Management
8.4
187
Not enough data
8.7
191
Not enough data
8.9
202
Not enough data
8.9
199
Not enough data
LMS Marketplace
8.0
181
Not enough data
8.1
183
Not enough data
8.1
183
Not enough data
Interface
8.3
181
Not enough data
8.3
184
Not enough data
Training & eLearning
9.0
189
Not enough data
9.2
449
Not enough data
8.7
173
Not enough data
9.0
415
Not enough data
9.0
411
Not enough data
9.0
411
Not enough data
8.9
170
Not enough data
Generative AI
7.7
78
Not enough data
7.8
79
Not enough data
7.7
79
Not enough data
Agentic AI - Corporate Learning Management Systems
7.8
48
Not enough data
7.8
47
Not enough data
Intermediate GEP features
9.1
131
Not enough data
9.2
136
Not enough data
Other GEP Features
9.3
137
Not enough data
9.3
133
Not enough data
9.2
133
Not enough data
Platform
8.9
4144
Not enough data
8.8
3937
Not enough data
8.8
3817
Not enough data
9.2
4045
Not enough data
9.4
4119
Not enough data
9.2
3982
Not enough data
9.0
3941
Not enough data
9.3
4012
Not enough data
Platform
8.9
4144
Not enough data
8.8
3937
Not enough data
8.8
3817
Not enough data
9.2
4045
Not enough data
9.4
4119
Not enough data
9.2
3982
Not enough data
9.0
3941
Not enough data
9.3
4012
Not enough data
Workforce Management Platform Features
8.9
555
Not enough data
8.9
546
Not enough data
9.3
606
Not enough data
9.4
646
Not enough data
9.0
568
Not enough data
8.9
543
Not enough data
9.1
559
Not enough data
9.3
591
Not enough data
8.9
537
Not enough data
8.9
550
Not enough data
Team Quality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Rippling and Sequoia Advisory share no categories
Unique Categories
Rippling is categorized as Workforce Management, Core HR, Payroll, Multi-Country Payroll, PEO Providers, Contractor Management, Employer of Record (EOR), Performance Management, Corporate Learning Management Systems, Onboarding, Benefits Administration, Applicant Tracking Systems (ATS), Time & Attendance, Global Employment Platforms (GEP), Employee Scheduling, HR Analytics, Training Management Systems, Contractor Payments, Workforce Planning, HR Compliance, Absence Management, and HCM Software
Sequoia Advisory is categorized as Benefits Consulting, HR Consulting, Management Consulting, Corporate Wellness Consulting, and HR Analytics Consulting
Reviews
Reviewers' Company Size
Rippling
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Sequoia Advisory
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
14.3%
Information Technology and Services
10.3%
Hospital & Health Care
5.4%
Financial Services
4.4%
Marketing and Advertising
4.0%
Other
61.5%
Computer Software
29.2%
Internet
12.5%
Information Technology and Services
12.5%
Hospital & Health Care
8.3%
Real Estate
4.2%
Other
33.3%
Discussions
What is Rippling used for?
6 Comments
JA
We use it for payroll and taxes and insurance mostly. Read more
How is Rippling innovating in the field of HR and IT management for businesses?
4 Comments
JT
Rippling is transforming HR and IT management by unifying payroll, benefits, device provisioning, and compliance into a single, automated platform. Its...Read more
What are some popular integrations for Rippling?
1 Comment
Official Response from Rippling
Hi Steve,
The Rippling App Shop allows you to integrate with over 500 third-party applications like Google Workspace, Slack, and Carta. Some popular...Read more
Sequoia Advisory has no discussions with answers
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