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Compare KX and dataPARC 
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At a Glance
Market Segments
Enterprise (58.0% of reviews)
Mid-Market (63.2% of reviews)
Entry-Level Pricing
$0.00
No pricing available
KX
Star Rating
(51)4.6 out of 5
Market Segments
Enterprise (58.0% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00
Browse all 3 pricing plansdataPARC
Star Rating
(39)4.9 out of 5
Market Segments
Mid-Market (63.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about dataPARCKX vs dataPARC
When assessing the two solutions, reviewers found dataPARC easier to use, set up, and do business with overall. However, reviewers preferred the ease of administration with KX.
- Reviewers felt that dataPARC meets the needs of their business better than KX.
- When comparing quality of ongoing product support, reviewers felt that dataPARC is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of dataPARC over KX.
Pricing
Entry-Level Pricing
KX
Free
$0.00
Rate-limited plan for quickly and easily getting started with kdb+.
- Fastest query speed
- In-memory compute engine
- Extreme scalability
dataPARC
No pricing availableFree Trial
KX
Free Trial is available
dataPARC
No trial information availableRatings
Meets Requirements
8.9
35
9.6
32
Ease of Use
6.7
38
9.1
32
Ease of Setup
8.5
24
8.8
18
Ease of Admin
8.9
14
8.8
18
Quality of Support
8.7
33
9.6
32
Has the product been a good partner in doing business?
9.0
12
9.7
18
Product Direction (% positive)
8.6
42
9.2
30
Features by Category
Reports
Not enough data
8.1
25
Not enough data
8.1
19
Not enough data
9.7
25
Not enough data
9.0
16
Not enough data
9.4
24
Self Service
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
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
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
Not enough data
Not enough data
Reports
Not enough data
8.1
25
Not enough data
8.1
19
Not enough data
9.7
25
Not enough data
9.0
16
Not enough data
9.4
24
Reports
Not enough data
8.7
20
Not enough data
8.9
17
Not enough data
9.1
13
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Visualization
Not enough data
9.6
23
Not enough data
9.4
16
Not enough data
9.3
23
Not enough data
8.6
16
Data Updates
Not enough data
9.6
21
Not enough data
9.6
23
Collaboration
Not enough data
8.9
16
Not enough data
8.2
12
Not enough data
8.8
13
Data Updates
Not enough data
9.3
23
Not enough data
9.6
24
Not enough data
9.4
19
Data Management
Not enough data
9.2
11
Not enough data
9.3
10
Not enough data
8.9
9
Not enough data
9.6
13
Not enough data
8.3
10
Analytics
Not enough data
9.6
12
Not enough data
9.7
12
Not enough data
9.6
14
Agentic AI - Manufacturing Intelligence
Not enough data
Not enough data
Data Sources
Not enough data
8.3
5
Not enough data
7.5
6
Not enough data
9.2
6
Analytics
Not enough data
9.7
5
Not enough data
9.4
6
Not enough data
9.7
6
Not enough data
9.3
5
Metrics
Not enough data
9.3
5
Not enough data
9.3
5
Not enough data
9.3
5
Not enough data
9.3
5
Storage
8.8
20
Not enough data
9.5
22
Not enough data
Availability
7.9
14
Not enough data
7.6
16
Not enough data
9.0
16
Not enough data
Performance
9.1
17
Not enough data
Security
8.0
15
Not enough data
7.9
18
Not enough data
7.7
14
Not enough data
8.2
16
Not enough data
Support
7.7
11
Not enough data
9.1
16
Not enough data
Data Indexing
8.0
9
Not enough data
9.3
10
Not enough data
Filters
8.5
10
Not enough data
9.1
9
Not enough data
Query latency
8.8
10
Not enough data
8.3
9
Not enough data
Data latency
8.9
9
Not enough data
8.0
9
Not enough data
Connectors
8.0
9
Not enough data
7.0
9
Not enough data
Scale
8.9
9
Not enough data
8.3
10
Not enough data
Architecture
8.1
9
Not enough data
8.3
9
Not enough data
Categories
Categories
Shared Categories
KX and dataPARC are categorized as Time Series Intelligence and Time Series Databases
Unique Categories
KX is categorized as Columnar Databases, Stream Analytics, Real-time Analytic Database, and Vector Database
dataPARC is categorized as Manufacturing Intelligence, IoT Analytics Platforms, and Data Visualization
Reviews
Reviewers' Company Size
KX
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
dataPARC
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
Financial Services
46.0%
Banking
12.0%
Capital Markets
10.0%
Investment Banking
6.0%
Investment Management
4.0%
Other
22.0%
Paper & Forest Products
65.8%
Manufacturing
10.5%
Oil & Energy
7.9%
Chemicals
5.3%
Renewables & Environment
2.6%
Other
7.9%
Discussions
KX has no discussions with answers
What is dataPARC used for?
1 Comment
Official Response from dataPARC
dataPARC is a software suite. There are two main products, the dataPARC Historian and PARCview. The dataPARC Historian delivers optimized storage and is the...Read more
dataPARC has no more discussions with answers
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